LinkedIn 자동화

Name: LinkedIn 자동화
Rating: 4.5 (10 reviews)
Author: Sateesh
고급
이것은Content Creation, Multimodal AI분야의자동화 워크플로우로, 54개의 노드를 포함합니다.주로 If, Set, Code, Merge, Switch 등의 노드를 사용하며. Gemini AI와 승인 프로세스를 사용하여 Telegram 메시지를 전문적인 LinkedIn 게시물로 변환합니다.
사전 요구사항
•LinkedIn API 인증 정보
•Telegram Bot Token
•Google Sheets API 인증 정보
•Google Gemini API Key
사용된 노드 (54)

OutputParserStructured
카테고리

콘텐츠 제작
멀티모달 AI
워크플로우 미리보기
노드 연결 관계를 시각적으로 표시하며, 확대/축소 및 이동을 지원합니다
Telegram 트리거
사용자 검증
게시물 ID 생성
초기 요청 로깅
분류 파싱
콘텐츠 라우터
처리할 URL 추출
URL 순환 처리
스크랩된 콘텐츠 처리
콘텐츠 소스 병합
형식 미리보기
Telegram로 미리보기 전송
조건문
초기 LinkedIn 게시
URL 스크래핑 및 콘텐츠 가져오기
조건문1
병합
시트에서 행 업데이트
콜백 처리
액션 라우팅
상태 전송 (승인)
게시 확인
재작성 처리
승인을 위한 재작성 전송
거부 전송
콜백 쿼리 응답
메시지 전송 및 응답 대기
게시물 생성
재편집 체인
시트1에서 행 가져오기
시트1에서 행 업데이트
시트2에서 행 업데이트
시트3에서 행 업데이트
스위치
권한 확인
텍스트 메시지 전송
의도 분류
관련 콘텐츠 웹 검색
JSON 형식으로 출력 추출
Google Gemini 파서 모델
게시물 생성용 Gemini 모델
게시물 재생성용 Gemini 모델
승인된 Telegram 사용자
React Flow
워크플로우 내보내기
다음 JSON 구성을 복사하여 n8n에 가져오면 이 워크플로우를 사용할 수 있습니다
{
  "id": "LWCrr5lorPtQRUfI",
  "meta": {
    "instanceId": "0b7fd9057c9a7248304e42ff851cb8ac210753ac550dbd39aab9acb302a34165",
    "templateCredsSetupCompleted": true
  },
  "name": "Linkedin Automation",
  "tags": [
    {
      "id": "HmvMKAccqyXZIUSY",
      "name": "LinkedIn Automation",
      "createdAt": "2025-08-14T08:42:36.216Z",
      "updatedAt": "2025-08-14T08:42:36.216Z"
    },
    {
      "id": "R0SHjnqB9YfJKAVu",
      "name": "Gemini",
      "createdAt": "2025-08-14T10:26:53.631Z",
      "updatedAt": "2025-08-14T10:26:53.631Z"
    },
    {
      "id": "l1eZzX8QnqsKk2gm",
      "name": "Automation",
      "createdAt": "2025-08-14T10:26:53.610Z",
      "updatedAt": "2025-08-14T10:26:53.610Z"
    },
    {
      "id": "n3OO3hKjfreBd7Hk",
      "name": "LinkedIn",
      "createdAt": "2025-08-14T10:26:53.668Z",
      "updatedAt": "2025-08-14T10:26:53.668Z"
    }
  ],
  "nodes": [
    {
      "id": "96c77c8e-fc61-4d53-9bd6-568317aee08c",
      "name": "Telegram 트리거",
      "type": "n8n-nodes-base.telegramTrigger",
      "position": [
        -2544,
        336
      ],
      "webhookId": "c5b3b922-1355-41d4-8f9f-10d8fc803218",
      "parameters": {
        "updates": [
          "message",
          "callback_query"
        ],
        "additionalFields": {
          "download": true,
          "imageSize": "extraLarge"
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "M9h9AMg2S3J0VkNB",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "a34caf37-c9b3-47e8-894a-5259323f70cc",
      "name": "사용자 검증",
      "type": "n8n-nodes-base.code",
      "position": [
        -1872,
        80
      ],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "// Fetch authorized users configuration\nconst authorizedUsers = {\n  telegram_ids: $json.telegram_ids,\n  usernames: $json.usernames\n};\n\nconst userId = $('Switch').item.json.message.from.id.toString();\nconst username = $('Switch').item.json.message.from.username;\n\n// Check if user is authorized (by id or username)\nconst isAuthorized =\n  authorizedUsers.telegram_ids.includes(userId) ||\n  authorizedUsers.usernames.includes(username);\n\n// Return user info and original message\nreturn {\n  json: {\n    user_id: userId,\n    username: username,\n    message_text: $('Switch').item.json.message.text,\n    chat_id: $('Switch').item.json.message.chat.id,\n    message_id: $('Switch').item.json.message.message_id,\n    timestamp: new Date().toISOString(),\n    authorized: isAuthorized\n  }\n};\n"
      },
      "typeVersion": 2
    },
    {
      "id": "a7a0856a-344f-48c8-9308-5fb9dc06eea4",
      "name": "게시물 ID 생성",
      "type": "n8n-nodes-base.code",
      "position": [
        -1424,
        -32
      ],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "// Generate unique post ID\nconst now = new Date();\nconst dateStr = now.toISOString().replace(/[-:T]/g, '').slice(0, 14);\nconst random = Math.floor(Math.random() * 1000).toString().padStart(3, '0');\nconst postId = `${dateStr}_${random}`;\n\nreturn {\n  json: {\n    ...$input.item.json,\n    post_id: postId,\n    created_at: now.toISOString()\n  }\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "03be5ca8-54bb-4597-af45-0d13b66be14c",
      "name": "초기 요청 로깅",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        -1136,
        -32
      ],
      "parameters": {
        "columns": {
          "value": {
            "post_id": "={{ $json.post_id }}",
            "user_id": "={{ $json.user_id }}",
            "timestamp": "={{ $json.timestamp }}",
            "user_name": "={{ $json.username }}",
            "original_message": "={{ $json.message_text }}"
          },
          "schema": [
            {
              "id": "post_id",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "post_id",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "timestamp",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "timestamp",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "user_id",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "user_id",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "user_name",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "user_name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "input_type",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "input_type",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "original_message",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "original_message",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "extracted_urls",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "extracted_urls",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "identified_topics",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "identified_topics",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "search_queries",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "search_queries",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "search_results_summary",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "search_results_summary",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "scraped_content_summary",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "scraped_content_summary",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "content_sources",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "content_sources",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "initial_generated_post",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "initial_generated_post",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "final_approved_post",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "final_approved_post",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "hashtags_used",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "hashtags_used",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "character_count",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "character_count",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "has_media",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "has_media",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "media_urls",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "media_urls",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "approval_status",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "approval_status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "rejection_reason",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "rejection_reason",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "edit_iterations",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "edit_iterations",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "time_to_approval",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "time_to_approval",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "posted_datetime",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "posted_datetime",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "scheduled_time",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "scheduled_time",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "linkedin_post_url",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "linkedin_post_url",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "post_type",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "post_type",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_1h",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_1h",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_24h",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_24h",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_7d",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_7d",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_30d",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_30d",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "reactions_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "reactions_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "likes",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "likes",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "celebrates",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "celebrates",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "loves",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "loves",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "comments_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "comments_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "shares_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "shares_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "clicks_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "clicks_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "engagement_rate",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "engagement_rate",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "viral_score",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "viral_score",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "follower_growth",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "follower_growth",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "performance_tier",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "performance_tier",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "last_metrics_update",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "last_metrics_update",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "engagement_rate",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "engagement_rate",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "approval_status",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "approval_status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "post_id"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "appendOrUpdate",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c/edit#gid=0",
          "cachedResultName": "Posts_Master"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c/edit?usp=drivesdk",
          "cachedResultName": "LinekedIn Posts"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "ExnZpB5bwFQ3gQ5N",
          "name": "Google Sheets account 2"
        }
      },
      "executeOnce": false,
      "notesInFlow": false,
      "typeVersion": 4,
      "alwaysOutputData": true
    },
    {
      "id": "2dbe1200-b0fb-4cf4-9ea5-214e76c48f7f",
      "name": "분류 파싱",
      "type": "n8n-nodes-base.code",
      "position": [
        -400,
        -32
      ],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "// Enhanced Parse Classification for better integration\nconst inputJson = $input.item.json;\n\n// Extract classification results\nconst classificationResult = {\n  input_type: $json.output.input_type || 'Topic',\n  urls: $json.output.urls || [],\n  topics: $json.output.topics || [],\n  content: $json.output.content || '',\n  processing_instructions: $json.output.processing_instructions || ''\n};\n\n// Preserve original request data for tracking\nconst originalRequestData = {\n  post_id: $('Log Initial Request').item.json.post_id,\n  chat_id:$('Generate Post ID').item.json.chat_id,\n  message_id:$('Generate Post ID').item.json.message_id,\n  timestamp: inputJson.timestamp || new Date().toISOString(),\n  user_id: $('Log Initial Request').item.json.user_id || '',\n  username: $('Log Initial Request').item.json.user_name || '',\n  original_message: $('Log Initial Request').item.json.original_message || inputJson.message_text || ''\n};\n\n// Add processing metadata\nconst processingMetadata = {\n  classification_timestamp: new Date().toISOString(),\n  has_urls: classificationResult.urls.length > 0,\n  has_topics: classificationResult.topics.length > 0,\n  has_content: classificationResult.content.length > 0,\n  url_count: classificationResult.urls.length,\n  topic_count: classificationResult.topics.length,\n  content_length: classificationResult.content.length,\n  requires_scraping: classificationResult.urls.length > 0,\n  requires_search: classificationResult.topics.length > 0,\n  processing_complexity: determineComplexity(classificationResult)\n};\n\n// Determine processing complexity\nfunction determineComplexity(result) {\n  const factors = [\n    result.urls.length > 0,\n    result.topics.length > 0,\n    result.content.length > 0\n  ].filter(Boolean).length;\n  \n  if (factors === 0) return 'simple';\n  if (factors === 1) return 'moderate';\n  if (factors >= 2) return 'complex';\n}\n\n// Return comprehensive data for downstream processing\nreturn {\n  json: {\n    ...originalRequestData,\n    ...classificationResult,\n    ...processingMetadata,\n    \n    // Add routing hints for Content Router\n    route_to_scraper: classificationResult.urls.length > 0,\n    route_to_search: classificationResult.topics.length > 0,\n    route_to_direct: classificationResult.urls.length === 0 && \n                     classificationResult.topics.length === 0,\n    \n    // Prepare data for Google Sheets tracking\n    extracted_urls: classificationResult.urls.join(', '),\n    identified_topics: classificationResult.topics.join(', '),\n    input_classification: classificationResult.input_type,\n    processing_stage: 'classified'\n  }\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "d45ddc23-679a-4cd6-82e3-fe5bbe35107f",
      "name": "콘텐츠 라우터",
      "type": "n8n-nodes-base.if",
      "position": [
        -176,
        -224
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 1,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "or",
          "conditions": [
            {
              "id": "url-only",
              "operator": {
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.input_type }}",
              "rightValue": "URL"
            },
            {
              "id": "topic-only",
              "operator": {
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.input_type }}",
              "rightValue": "Topic"
            },
            {
              "id": "mixed",
              "operator": {
                "type": "string",
                "operation": "contains"
              },
              "leftValue": "={{ $json.input_type }}",
              "rightValue": "URL+Topic"
            }
          ]
        }
      },
      "typeVersion": 2
    },
    {
      "id": "70b4a682-8827-4e2b-8f01-af887ab7ec41",
      "name": "처리할 URL 추출",
      "type": "n8n-nodes-base.code",
      "position": [
        272,
        -464
      ],
      "parameters": {
        "jsCode": "const urls = $input.item.json.output?.urls || $input.item.json.urls || [];\n\nif (urls.length === 0) {\n  // No URLs to process, pass through original data\n  return {\n    json: {\n      ...$input.item.json,\n      urls_to_process: [],\n      total_urls: 0,\n      processing_stage: 'no_urls'\n    }\n  };\n}\n\n// Create individual items for each URL to be processed\nconst urlItems = urls.map((url, index) => ({\n  json: {\n    ...$input.item.json,\n    ...$input.item.json.output,\n    current_url: url,\n    url_index: index,\n    total_urls: urls.length,\n    processing_stage: 'url_extraction'\n  }\n}));\n// Return array of items for processing\nreturn urlItems;"
      },
      "notesInFlow": false,
      "typeVersion": 2,
      "alwaysOutputData": false
    },
    {
      "id": "2c8c8e1c-fb44-47a8-921f-2676f773df7a",
      "name": "URL 순환 처리",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        496,
        -464
      ],
      "parameters": {
        "options": {},
        "batchSize": "={{ $json.total_urls }}"
      },
      "typeVersion": 3,
      "alwaysOutputData": false
    },
    {
      "id": "d8ef03dd-2db3-4adf-993f-de30fcb090ab",
      "name": "스크랩된 콘텐츠 처리",
      "type": "n8n-nodes-base.code",
      "position": [
        720,
        -336
      ],
      "parameters": {
        "jsCode": "// Get all inputs from the loop\nconst allInputs = $input.all();\nconsole.log(\"Processing all loop outputs:\", allInputs.length, \"items\");\n\nlet mergedContent = '';\nlet allSourceUrls = [];\nlet allMetadataUrls = [];\nlet overallSuccess = true;\n\n// Process each input from the loop\nfor (const inputItem of allInputs) {\n  const scrapedData = inputItem.json;\n  let processedContent = '';\n  let scrapingSuccess = false;\n  let metadataUrl = '';\n  \n  try {\n    // Handle Firecrawl response structure\n    if (scrapedData.data && scrapedData.data.markdown) {\n      processedContent = scrapedData.data.markdown;\n      \n      // Extract URL from metadata if available\n      if (scrapedData.data.metadata && scrapedData.data.metadata.ogUrl) {\n        metadataUrl = scrapedData.data.metadata.ogUrl;\n        allMetadataUrls.push(metadataUrl);\n      }\n      \n      scrapingSuccess = true;\n    }\n    // Handle alternative response structure\n    else if (scrapedData.markdown) {\n      processedContent = scrapedData.markdown;\n      \n      // Extract URL from metadata if available\n      if (scrapedData.metadata && scrapedData.metadata.ogUrl) {\n        metadataUrl = scrapedData.metadata.ogUrl;\n        allMetadataUrls.push(metadataUrl);\n      }\n      \n      scrapingSuccess = true;\n    }\n    // Handle plain text content\n    else if (scrapedData.content) {\n      processedContent = scrapedData.content;\n      \n      // Extract URL from metadata if available\n      if (scrapedData.metadata && scrapedData.metadata.ogUrl) {\n        metadataUrl = scrapedData.metadata.ogUrl;\n        allMetadataUrls.push(metadataUrl);\n      }\n      \n      scrapingSuccess = true;\n    }\n    else {\n      throw new Error('No content found in Firecrawl response');\n    }\n  } catch (error) {\n    processedContent = `Error scraping ${scrapedData.current_url}: ${error.message}`;\n    scrapingSuccess = false;\n  }\n  \n  // Use metadata URL if available, otherwise fall back to current_url\n  const sourceUrl = metadataUrl || scrapedData.current_url;\n  \n  // Add to merged content with source separator\n  if (sourceUrl) {\n    mergedContent += `\\n\\n--- Source: ${sourceUrl} ---\\n\\n`;\n    allSourceUrls.push(sourceUrl);\n  }\n  mergedContent += processedContent;\n  \n  // Update overall success (false if any scraping failed)\n  if (!scrapingSuccess) {\n    overallSuccess = false;\n  }\n}\n\n// Remove duplicate URLs and create final source URL list\nconst uniqueSourceUrls = [...new Set(allSourceUrls)];\nconst uniqueMetadataUrls = [...new Set(allMetadataUrls)];\n\nconsole.log(\"Extracted metadata URLs:\", uniqueMetadataUrls);\nconsole.log(\"All source URLs:\", uniqueSourceUrls);\n\n// Return only the required fields\nreturn {\n  json: {\n    merged_content: mergedContent.trim(),\n    scraping_success: overallSuccess,\n    source_url: uniqueSourceUrls.join(', '),\n    metadata_urls: uniqueMetadataUrls.join(', '), // Additional field with metadata URLs\n    processing_stage: 'content_merged'\n  }\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "8d16150a-502b-4c6c-a16c-b36efd85e7ed",
      "name": "콘텐츠 소스 병합",
      "type": "n8n-nodes-base.code",
      "position": [
        1168,
        -96
      ],
      "parameters": {
        "jsCode": "// Optimized for direct JSON access without looping\nconst allInputs = $input.all();\n\nconsole.log(\"Total inputs received:\", allInputs.length);\n\n// Initialize the complete output structure\nlet processedData = {\n  // Original input data\n  post_id: '',\n  user_id: '',\n  username: '',\n  chat_id: '',\n  message_id:'',\n  message_text: '',\n  input_type: '',\n  urls: [],\n  topics: [],\n  content: '',\n  processing_instructions: '',\n  \n  // Scraped content from URLs\n  scraped_content: '',\n  scraped_urls: [],\n  scraped_summary: '',\n  \n  // Brave search results\n  brave_search_results: '',\n  brave_search_performed: false,\n  brave_search_query: '',\n  \n  // Processing metadata\n  content_sources: [],\n  total_scraped_urls: 0,\n  successful_scrapes: 0,\n  failed_scrapes: 0,\n  processing_timestamp: new Date().toISOString(),\n  routes_taken: [],\n  \n  // Final merged content for LLM\n  merged_content_for_llm: ''\n};\n\n// Direct access to specific inputs based on expected structure\nconsole.log(\"Processing inputs with direct JSON access...\");\nconsole.log(\"Input structures:\", allInputs.map((input, index) => ({\n  index,\n  keys: Object.keys(input.json || {}).slice(0, 10),\n  hasArray: Array.isArray(input.json),\n  jsonType: typeof input.json\n})));\n\n// Look for Parse Classification data in any input\nconst parseInput = allInputs.find(input => {\n  if (!input.json) return false;\n  \n  // Handle array structure\n  if (Array.isArray(input.json)) {\n    return input.json.some(item => \n      item.post_id !== undefined || \n      item.input_type !== undefined || \n      item.processing_stage === 'classified'\n    );\n  }\n  \n  // Handle direct object\n  return input.json.post_id !== undefined || \n         input.json.input_type !== undefined || \n         input.json.processing_stage === 'classified';\n});\n\nif (parseInput) {\n  console.log(\"Found Parse Classification data\");\n  \n  let parseData;\n  if (Array.isArray(parseInput.json)) {\n    // Find the classification data in the array\n    parseData = parseInput.json.find(item => \n      item.post_id !== undefined || \n      item.input_type !== undefined || \n      item.processing_stage === 'classified'\n    );\n  } else {\n    parseData = parseInput.json;\n  }\n  \n  if (parseData) {\n    console.log(\"Processing Parse Classification data:\", Object.keys(parseData));\n    \n    processedData.post_id = parseData.post_id || '';\n    processedData.chat_id = parseData.chat_id || '';\n    processedData.message_id = parseData.message_id || '';\n    processedData.user_id = parseData.user_id || '';\n    processedData.username = parseData.username || '';\n    processedData.chat_id = parseData.chat_id || '';\n    processedData.message_text = parseData.original_message || parseData.message_text || '';\n    processedData.input_type = parseData.input_type || '';\n    \n    // Handle URLs - could be array or string\n    if (parseData.urls && Array.isArray(parseData.urls)) {\n      processedData.urls = parseData.urls;\n    } else if (parseData.extracted_urls) {\n      processedData.urls = Array.isArray(parseData.extracted_urls) ? \n        parseData.extracted_urls : [parseData.extracted_urls];\n    } else {\n      processedData.urls = [];\n    }\n    \n    // Handle topics - could be array or string  \n    if (parseData.topics && Array.isArray(parseData.topics)) {\n      processedData.topics = parseData.topics;\n    } else if (parseData.identified_topics) {\n      processedData.topics = Array.isArray(parseData.identified_topics) ? \n        parseData.identified_topics : [parseData.identified_topics];\n    } else {\n      processedData.topics = [];\n    }\n    \n    processedData.content = parseData.content || '';\n    processedData.processing_instructions = parseData.processing_instructions || '';\n    processedData.routes_taken.push('Parse Classification');\n  }\n}\n\n// Input 2: Scraped Content (look for merged_content or scraped_content)\nconst scrapedInput = allInputs.find(input => {\n  if (!input.json) return false;\n  \n  // Handle array structure\n  if (Array.isArray(input.json)) {\n    return input.json.some(item => \n      item.merged_content || \n      item.scraped_content || \n      item.processing_stage === 'content_merged'\n    );\n  }\n  \n  // Handle direct object\n  return input.json.merged_content || \n         input.json.scraped_content || \n         input.json.processing_stage === 'content_merged';\n});\n\nif (scrapedInput) {\n  console.log(\"Found Scraped Content\");\n  \n  let scrapedData;\n  if (Array.isArray(scrapedInput.json)) {\n    // Find the scraped data in the array\n    scrapedData = scrapedInput.json.find(item => \n      item.merged_content || item.scraped_content || item.processing_stage === 'content_merged'\n    ) || scrapedInput.json[0]; // fallback to first item if structure is different\n  } else {\n    scrapedData = scrapedInput.json;\n  }\n  \n  if (scrapedData) {\n    console.log(\"Processing Scraped Content:\", Object.keys(scrapedData).slice(0, 10));\n    \n    // Use either scraped_content or merged_content\n    processedData.scraped_content = scrapedData.scraped_content || scrapedData.merged_content || '';\n    \n    // Handle URLs from various sources\n    if (scrapedData.scraped_urls && Array.isArray(scrapedData.scraped_urls)) {\n      processedData.scraped_urls = scrapedData.scraped_urls;\n    } else if (scrapedData.source_url) {\n      processedData.scraped_urls = scrapedData.source_url.split(', ').filter(url => url.trim());\n    } else if (scrapedData.metadata_urls) {\n      processedData.scraped_urls = Array.isArray(scrapedData.metadata_urls) ? \n        scrapedData.metadata_urls : [scrapedData.metadata_urls];\n    } else {\n      processedData.scraped_urls = [];\n    }\n    \n    processedData.successful_scrapes = scrapedData.scraping_success !== false ? processedData.scraped_urls.length : 0;\n    processedData.total_scraped_urls = processedData.scraped_urls.length;\n    processedData.scraped_summary = `Successfully scraped ${processedData.successful_scrapes} URLs`;\n    \n    if (scrapedData.scraping_success !== false && processedData.scraped_urls.length > 0) {\n      processedData.content_sources.push(`Web Scraping (${processedData.scraped_urls.length} URLs)`);\n    } else {\n      processedData.content_sources.push('Web Scraping (Failed)');\n    }\n    processedData.routes_taken.push('URL Processing');\n  }\n}\n\n// Input 3: Brave Search Results (look for web.results)\nconst searchInput = allInputs.find(input => {\n  if (!input.json) return false;\n  \n  // Handle array structure\n  if (Array.isArray(input.json)) {\n    return input.json.some(item => item.web && item.web.results);\n  }\n  \n  // Handle direct object\n  return input.json.web && input.json.web.results;\n});\n\nif (searchInput) {\n  console.log(\"Found Brave Search Results\");\n  \n  let searchData;\n  if (Array.isArray(searchInput.json)) {\n    searchData = searchInput.json.find(item => item.web && item.web.results);\n  } else {\n    searchData = searchInput.json;\n  }\n  \n  if (searchData) {\n    console.log(\"Processing Brave Search Results\");\n    \n    processedData.brave_search_performed = true;\n    processedData.brave_search_query = searchData.query || processedData.topics.join(' ');\n    \n    if (searchData.web.results && searchData.web.results.length > 0) {\n      const formattedResults = searchData.web.results.slice(0, 5).map((result, index) => {\n        return [\n          `**Result ${index + 1}:**`,\n          `Title: ${result.title}`,\n          `URL: ${result.url}`,\n          `Description: ${result.description || 'No description available'}`,\n          result.age ? `Published: ${result.age}` : ''\n        ].filter(line => line).join('\\n');\n      }).join('\\n\\n');\n      \n      processedData.brave_search_results = formattedResults;\n      processedData.content_sources.push(`Brave Search (${searchData.web.results.length} results)`);\n    }\n    processedData.routes_taken.push('Topic Search');\n  }\n}\n\n// Input 4: Content Router False route (look for bypass_reason or similar markers)\nconst routerInput = allInputs.find(input => {\n  if (!input.json) return false;\n  \n  // Handle array structure\n  if (Array.isArray(input.json)) {\n    return input.json.some(item => \n      item.bypass_reason || \n      item.route_taken === 'false' || \n      item.processing_stage === 'bypassed'\n    );\n  }\n  \n  // Handle direct object\n  return input.json.bypass_reason || \n         input.json.route_taken === 'false' ||\n         input.json.processing_stage === 'bypassed';\n});\n\nif (routerInput) {\n  console.log(\"Found Content Router False route\");\n  \n  let routerData;\n  if (Array.isArray(routerInput.json)) {\n    routerData = routerInput.json.find(item => \n      item.bypass_reason || item.route_taken === 'false' || item.processing_stage === 'bypassed'\n    );\n  } else {\n    routerData = routerInput.json;\n  }\n  \n  if (routerData) {\n    processedData.routes_taken.push('Content Router (False)');\n    if (routerData.bypass_reason) {\n      processedData.bypass_reason = routerData.bypass_reason;\n    }\n  }\n}\n\n// Build the final merged content for LLM\nlet llmContent = [];\nlet sectionCount = 0;\n\n// Add processing instructions if available\nif (processedData.processing_instructions) {\n  llmContent.push(`## PROCESSING INSTRUCTIONS\\n${processedData.processing_instructions}`);\n  sectionCount++;\n}\n\n// Add original content if provided\nif (processedData.content) {\n  llmContent.push(`## ORIGINAL CONTENT TO ENHANCE\\n${processedData.content}`);\n  sectionCount++;\n}\n\n// Add topics if provided\nif (processedData.topics && processedData.topics.length > 0) {\n  const topicsText = Array.isArray(processedData.topics) ? \n    processedData.topics.filter(topic => topic).join('\\n- ') : \n    processedData.topics;\n  llmContent.push(`## TOPICS TO COVER\\n- ${topicsText}`);\n  sectionCount++;\n}\n\n// Add scraped content with source attribution\nif (processedData.scraped_content) {\n  llmContent.push(`## WEB CONTENT (Scraped from URLs)\\n${processedData.scraped_content}`);\n  sectionCount++;\n}\n\n// Add Brave search results\nif (processedData.brave_search_results) {\n  llmContent.push(`## SEARCH RESULTS (Latest Information)\\n${processedData.brave_search_results}`);\n  sectionCount++;\n}\n\n// Create context summary for LLM\nconst contextSummary = [\n  `Input Type: ${processedData.input_type || 'Not specified'}`,\n  `Routes Processed: ${processedData.routes_taken.join(', ')}`,\n  `Content Sources: ${processedData.content_sources.join(', ') || 'None'}`,\n  `Sections Available: ${sectionCount}`\n].join('\\n');\n\n// Add context summary at the beginning\nif (sectionCount > 0) {\n  processedData.merged_content_for_llm = [\n    `## CONTEXT SUMMARY\\n${contextSummary}`,\n    ...llmContent\n  ].join('\\n\\n---\\n\\n');\n} else {\n  // Fallback content if no data was gathered\n  if (processedData.topics && processedData.topics.length > 0) {\n    const topicsText = Array.isArray(processedData.topics) ? \n      processedData.topics.filter(topic => topic).join('\\n- ') : \n      processedData.topics;\n    processedData.merged_content_for_llm = `Please generate content about the following topics:\\n- ${topicsText}`;\n    processedData.content_sources.push('Topic-based Generation Request');\n  } else if (processedData.content) {\n    processedData.merged_content_for_llm = `Please enhance and format the following content:\\n\\n${processedData.content}`;\n    processedData.content_sources.push('Content Enhancement Request');\n  } else {\n    processedData.merged_content_for_llm = 'Please generate relevant LinkedIn content based on current trends.';\n    processedData.content_sources.push('General Generation Request');\n  }\n}\n\n// Add processing statistics\nprocessedData.scraping_success_rate = processedData.total_scraped_urls > 0 ? \n  `${((processedData.successful_scrapes / processedData.total_scraped_urls) * 100).toFixed(1)}%` : 'N/A';\n\n// Log final summary\nconsole.log(\"=== PROCESSING COMPLETE ===\");\nconsole.log(\"Routes taken:\", processedData.routes_taken);\nconsole.log(\"Content sources used:\", processedData.content_sources);\nconsole.log(\"Total content length:\", processedData.merged_content_for_llm.length, \"characters\");\nconsole.log(\"Sections included:\", sectionCount);\nconsole.log(\"Processing summary:\", {\n  totalInputs: allInputs.length,\n  routesTaken: processedData.routes_taken.length,\n  contentSources: processedData.content_sources.length,\n  hasScrapedContent: !!processedData.scraped_content,\n  hasSearchResults: !!processedData.brave_search_results,\n  finalContentLength: processedData.merged_content_for_llm.length\n});\n\nreturn { json: processedData };"
      },
      "executeOnce": false,
      "typeVersion": 2,
      "alwaysOutputData": false
    },
    {
      "id": "79324d69-6cc4-4f3f-a398-c5a8e7478d93",
      "name": "형식 미리보기",
      "type": "n8n-nodes-base.code",
      "position": [
        1744,
        -96
      ],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "// Parse Gemini response and format preview\nlet generatedPost;\ntry {\n  const responseText = $input.item.json.text;\n  const jsonMatch = responseText.match(/\\{[\\s\\S]*\\}/); // Find JSON in response\n  \n  if (jsonMatch) {\n    generatedPost = JSON.parse(jsonMatch[0]);\n  } else {\n    // Fallback if JSON parsing fails\n    generatedPost = {\n      post_content: responseText,\n      hashtags: ['#LinkedIn', '#Professional'],\n      character_count: responseText.length,\n      hook: responseText.substring(0, 50),\n      cta: 'What do you think?',\n      key_points: ['Generated content']\n    };\n  }\n} catch (error) {\n  // Ultimate fallback\n  generatedPost = {\n    post_content: $input.item.json.text || 'Content generation failed',\n    hashtags: ['#LinkedIn'],\n    character_count: ($input.item.json.text || '').length,\n    hook: 'Content preview',\n    cta: 'Please try again',\n    key_points: ['Error in generation']\n  };\n}\n\n// Create preview text\nconst preview = `📝 **LinkedIn Post Preview**\n━━━━━━━━━━━━━━━━━━━━\n\n${generatedPost.post_content}\n\n━━━━━━━━━━━━━━━━━━━━\n📊 **Post Analytics:**\n• Characters: ${generatedPost.character_count}/2800\n• Hashtags: ${generatedPost.hashtags.join(', ')}\n• Hook: \"${generatedPost.hook.substring(0, 50)}...\"\n\n🎯 **Key Points:**\n${generatedPost.key_points.map(p => '• ' + p).join('\\n')}\n\n━━━━━━━━━━━━━━━━━━━━\n**Choose an action:**`;\n\nreturn {\n  json: {\n    ...$input.item.json,\n    ...generatedPost,\n    preview_text: preview,\n    approval_pending: true,\n    generation_timestamp: new Date().toISOString()\n  }\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "7642abfa-80a4-4254-808d-8eafd3aa3d75",
      "name": "Telegram로 미리보기 전송",
      "type": "n8n-nodes-base.telegram",
      "position": [
        1968,
        -96
      ],
      "webhookId": "db5637e5-c376-4926-8416-dbaa1be9f796",
      "parameters": {
        "text": "={{ $json.preview_text }}",
        "chatId": "={{ $('Merge Content Sources').item.json.chat_id }}",
        "replyMarkup": "inlineKeyboard",
        "inlineKeyboard": {
          "rows": [
            {
              "row": {
                "buttons": [
                  {
                    "text": "Approve",
                    "additionalFields": {
                      "callback_data": "=approve_{{ $('Merge Content Sources').item.json.post_id || $json.post_id || 'default' }}"
                    }
                  },
                  {
                    "text": "Edit",
                    "additionalFields": {
                      "callback_data": "=edit_{{ $('Merge Content Sources').item.json.post_id || $json.post_id || 'default' }}"
                    }
                  }
                ]
              }
            },
            {
              "row": {
                "buttons": [
                  {
                    "text": "Reject",
                    "additionalFields": {
                      "callback_data": "=reject_{{ $('Merge Content Sources').item.json.post_id || $json.post_id || 'default' }}"
                    }
                  }
                ]
              }
            }
          ]
        },
        "additionalFields": {
          "parse_mode": "HTML",
          "reply_to_message_id": "={{ $('Merge Content Sources').item.json.message_id }}"
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "M9h9AMg2S3J0VkNB",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2,
      "alwaysOutputData": true
    },
    {
      "id": "04db5e51-3a5f-4817-80d9-135a1164db3e",
      "name": "조건문",
      "type": "n8n-nodes-base.if",
      "position": [
        496,
        -144
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "de6e0737-7f17-4336-92d2-a71c5bca8131",
              "operator": {
                "type": "array",
                "operation": "notEmpty",
                "singleValue": true
              },
              "leftValue": "={{ $json.output.topics }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "6f882b2f-c990-451f-ba17-015d992c4636",
      "name": "초기 LinkedIn 게시",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        1392,
        -96
      ],
      "parameters": {
        "text": "=",
        "batching": {},
        "messages": {
          "messageValues": [
            {
              "message": "=You are an expert LinkedIn content creator specializing in professional development and technology trends. Generate engaging, informative LinkedIn posts that provide genuine value to a professional audience.\n\nCONTENT REQUIREMENTS:\n\n-Start with a compelling, attention-grabbing hook related to the actual content\n-Provide specific, actionable insights directly from the source material\n-Include relevant statistics, data points, or key findings when available\n-Use short paragraphs (2-3 lines max) with line breaks for mobile readability\n-Write in third person perspective unless specified to use first person\n-Include 3-5 highly relevant hashtags aligned with the content topic\n-End with a meaningful call-to-action that encourages engagement\n-Keep content within 2800 characters maximum\n-Use 1-3 emojis strategically for emphasis, not decoration\n\nSOURCE ATTRIBUTION RULES:\n\n-If input_type contains \"URL\": Include \"Source: [URL]\" at the end before hashtags\n-If multiple URLs: List as \"Sources: [URL1], [URL2]\"\n-If content comes from web scraping: Extract and reference the actual article title and publication\n-Make it clear that insights are \"based on\" or \"according to\" the source\n\nCONTENT TONE:\n\n-Professional yet conversational and approachable\n-Authoritative but not preachy\n-Enthusiastic and focused on providing valuable insights\n-Credible while maintaining relatability\n\nTARGET AUDIENCE:\n\n-Industry professionals\n-Thought leaders\n-Individuals focused on career growth and staying current with industry trends\n\nCONTENT STRUCTURE:\n\n-Hook: 1-2 sentences that grab attention\n-Key insights or main content: 3-4 short paragraphs\n-Application or takeaway: 1-2 sentences\n-Call-to-action question to drive engagement\n-Source attribution (if applicable)\n-Hashtags\n\nEXAMPLES OF STRONG HOOKS:\n\n-The [industry/topic] landscape is shifting faster than ever…\n-Just discovered a comprehensive guide that could change how professionals approach [topic]…\n-The numbers don’t lie: [specific statistic] shows that [insight]…\n-[Surprising fact or trend] is reshaping [industry/field]…\n\nOUTPUT FORMAT: Return ONLY a JSON object with the following structure:\n{\n\"post_content\": \"the complete post including source attribution and hashtags\",\n\"hashtags\": [\"hashtag1\", \"hashtag2\", \"hashtag3\"],\n\"character_count\": 1234,\n\"hook\": \"the opening line that grabs attention\",\n\"cta\": \"the call-to-action question\",\n\"key_points\": [\"specific insight 1\", \"specific insight 2\", \"specific insight 3\"],\n\"source_urls\": [\"url1\", \"url2\"] // if applicable\n}\n\nBased on the following information, create a LinkedIn post that transforms the source content into engaging, valuable insights for your professional network:"
            },
            {
              "type": "HumanMessagePromptTemplate",
              "message": "=Input Type: {{ $json.input_type }}\nURLS: {{ $json.scraped_urls }}\nTopics: {{ $json.topics }} \nProcessing Instructions: {{ $json.processing_instructions }} \nScraped Content: {{ $json.scraped_content }}\nSearch Results: {{ $json.brave_search_results }}"
            }
          ]
        },
        "promptType": "define"
      },
      "executeOnce": true,
      "typeVersion": 1.7
    },
    {
      "id": "ab0a005e-b926-49f7-93bc-4de5e3d5c011",
      "name": "URL 스크래핑 및 콘텐츠 가져오기",
      "type": "@mendable/n8n-nodes-firecrawl.firecrawl",
      "position": [
        720,
        -528
      ],
      "parameters": {
        "url": "={{ $json.current_url }}",
        "operation": "scrape",
        "scrapeOptions": {
          "options": {
            "headers": {}
          }
        },
        "requestOptions": {}
      },
      "credentials": {
        "firecrawlApi": {
          "id": "dYaNt7iSC4jgmuK5",
          "name": "Firecrawl account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "e5f7a21a-1dbc-4e2e-8f84-de06d87adaf3",
      "name": "조건문1",
      "type": "n8n-nodes-base.if",
      "position": [
        48,
        -464
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "6cc58f5a-cc9b-4698-8bfe-3a8a08394cb5",
              "operator": {
                "type": "string",
                "operation": "contains"
              },
              "leftValue": "={{ $json.input_type }}",
              "rightValue": "URL"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "784ae37f-d98c-46be-9cc0-f7abab2d7aaf",
      "name": "병합",
      "type": "n8n-nodes-base.merge",
      "position": [
        944,
        -128
      ],
      "parameters": {
        "numberInputs": 4
      },
      "typeVersion": 3.2
    },
    {
      "id": "a7b81e78-6e44-4e2c-a96c-f4be302f8667",
      "name": "시트에서 행 업데이트",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        2192,
        -96
      ],
      "parameters": {
        "columns": {
          "value": {
            "post_id": "={{ $('Merge Content Sources').item.json.post_id }}",
            "timestamp": "={{ $('Merge Content Sources').item.json.processing_timestamp }}",
            "hashtags_used": "={{ $('Format Preview').item.json.hashtags }}",
            "extracted_urls": "={{ $('Merge Content Sources').item.json.urls }}",
            "search_queries": "={{ $('Merge Content Sources').item.json.brave_search_query }}",
            "character_count": "={{ $('Format Preview').item.json.character_count }}",
            "content_sources": "={{ $('Merge Content Sources').item.json.content_sources }}",
            "identified_topics": "={{ $('Merge Content Sources').item.json.topics }}",
            "final_approved_post": "={{ $('Format Preview').item.json.post_content }}",
            "initial_generated_post": "={{ $('Format Preview').item.json.post_content }}",
            "search_results_summary": "={{ $('Merge Content Sources').item.json.brave_search_results }}",
            "scraped_content_summary": "={{ $('Merge Content Sources').item.json.scraped_summary }}"
          },
          "schema": [
            {
              "id": "post_id",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "post_id",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "timestamp",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "timestamp",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "user_id",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "user_id",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "user_name",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "user_name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "input_type",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "input_type",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "original_message",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "original_message",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "extracted_urls",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "extracted_urls",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "identified_topics",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "identified_topics",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "search_queries",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "search_queries",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "search_results_summary",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "search_results_summary",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "scraped_content_summary",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "scraped_content_summary",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "content_sources",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "content_sources",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "initial_generated_post",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "initial_generated_post",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "final_approved_post",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "final_approved_post",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "hashtags_used",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "hashtags_used",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "character_count",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "character_count",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "has_media",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "has_media",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "media_urls",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "media_urls",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "approval_status",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "approval_status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "rejection_reason",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "rejection_reason",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "edit_iterations",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "edit_iterations",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "time_to_approval",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "time_to_approval",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "posted_datetime",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "posted_datetime",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "scheduled_time",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "scheduled_time",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "linkedin_post_url",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "linkedin_post_url",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "post_type",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "post_type",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_1h",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_1h",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_24h",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_24h",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_7d",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_7d",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_30d",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_30d",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "reactions_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "reactions_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "likes",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "likes",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "celebrates",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "celebrates",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "loves",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "loves",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "comments_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "comments_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "shares_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "shares_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "clicks_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "clicks_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "engagement_rate",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "engagement_rate",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "viral_score",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "viral_score",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "follower_growth",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "follower_growth",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "performance_tier",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "performance_tier",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "last_metrics_update",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "last_metrics_update",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "engagement_rate",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "engagement_rate",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "approval_status",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "approval_status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "row_number",
              "type": "number",
              "display": true,
              "removed": true,
              "readOnly": true,
              "required": false,
              "displayName": "row_number",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "post_id"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "update",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c/edit#gid=0",
          "cachedResultName": "Posts_Master"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c/edit?usp=drivesdk",
          "cachedResultName": "LinekedIn Posts"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "ExnZpB5bwFQ3gQ5N",
          "name": "Google Sheets account 2"
        }
      },
      "typeVersion": 4.7
    },
    {
      "id": "5c8b4551-ba7e-4cf1-8a97-479e3727d728",
      "name": "콜백 처리",
      "type": "n8n-nodes-base.code",
      "position": [
        -2096,
        672
      ],
      "parameters": {
        "jsCode": "// Process callback query and determine action\nconst rawCallbackData = $input.item.json.callback_query.data;\nconsole.log('Raw callback data:', rawCallbackData);\n\n// Remove surrounding quotes and clean the callback data\nlet callbackData = rawCallbackData;\nif (typeof callbackData === 'string') {\n  // Remove surrounding quotes (both single and double)\n  callbackData = callbackData.replace(/^[\"']+|[\"']+$/g, '');\n  // Remove any remaining quotes inside\n  callbackData = callbackData.replace(/[\"']/g, '');\n}\n\nconsole.log('Cleaned callback data:', callbackData);\nconst [action, postId_1,postId_2] = callbackData.split('_');\nconst postId = postId_1 + '_' + postId_2\nconst queryId = $input.item.json.callback_query.id;\nconst userId = $input.item.json.callback_query.from.id;\nconst messageId = $input.item.json.callback_query.message.message_id;\nconst chatId = $input.item.json.callback_query.message.chat.id;\nconst userName = $input.item.json.callback_query.from.first_name || 'User';\n\n// Get original post content from message text\nconst originalText = $input.item.json.callback_query.message.text;\n\n// Extract just the post content (remove any previous instructions)\nconst contentLines = originalText.split('\\n');\nlet postContent = '';\nfor (let line of contentLines) {\n  if (line.includes('📋') || line.includes('Actions:') || line.includes('👆')) {\n    break;\n  }\n  postContent += line + '\\n';\n}\npostContent = postContent.trim();\n\nlet response = {\n  post_id: postId || 'default',\n  action: action,\n  queryId:queryId,\n  user_id: userId,\n  chat_id: chatId,\n  message_id: messageId,\n  user_name: userName,\n  original_content: postContent,\n  timestamp: new Date().toISOString()\n};\n\nswitch(action) {\n  case 'approve':\n    response.status = 'approved';\n    response.next_step = 'publish';\n    response.linkedin_content = postContent;\n    response.message = `✅ Post approved by ${userName}! Publishing to LinkedIn...`;\n    break;\n    \n  case 'edit':\n    response.status = 'editing';\n    response.next_step = 'rewrite';\n    response.edit_instruction = 'Please improve this post by making it more engaging, professional, and LinkedIn-appropriate. Keep the core message but enhance the tone and structure.';\n    response.message = `✏️ ${userName} requested edits. Rewriting with Gemini...`;\n    break;\n    \n  case 'reject':\n    response.status = 'rejected';\n    response.next_step = 'complete';\n    response.message = `❌ Post rejected by ${userName}.`;\n    break;\n    \n  case 'regenerate':\n    response.status = 'regenerating';\n    response.next_step = 'regenerate';\n    response.regenerate_prompt = 'Create a completely new LinkedIn post on the same topic with a fresh perspective and different approach.';\n    response.message = `🔄 ${userName} requested regeneration. Creating new version...`;\n    break;\n    \n  case 'schedule':\n    response.status = 'scheduling';\n    response.next_step = 'request_schedule_time';\n    response.linkedin_content = postContent;\n    response.message = `⏰ ${userName} wants to schedule this post. When would you like it published?\\n\\nExamples:\\n• \"tomorrow 9am\"\\n• \"2024-12-25 14:30\"\\n• \"next monday 10:00\"`;\n    break;\n    \n  default:\n    response.status = 'error';\n    response.message = '❓ Unknown action.';\n}\n\nreturn { json: response };"
      },
      "typeVersion": 2
    },
    {
      "id": "e97c3e0d-218c-4e7b-befb-ff68e8a7edf6",
      "name": "액션 라우팅",
      "type": "n8n-nodes-base.switch",
      "position": [
        -1648,
        656
      ],
      "parameters": {
        "rules": {
          "values": [
            {
              "conditions": {
                "options": {
                  "version": 1,
                  "leftValue": "",
                  "caseSensitive": false,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "45e826e8-9f56-4ab9-a373-451c8175849d",
                    "operator": {
                      "type": "string",
                      "operation": "equals"
                    },
                    "leftValue": "={{ $('Process Callback').item.json.action }}",
                    "rightValue": "approve"
                  }
                ]
              }
            },
            {
              "conditions": {
                "options": {
                  "version": 1,
                  "leftValue": "",
                  "caseSensitive": false,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "69c0bb23-fbec-4659-ae7b-c6a31499c946",
                    "operator": {
                      "type": "string",
                      "operation": "equals"
                    },
                    "leftValue": "={{ $('Process Callback').item.json.action }}",
                    "rightValue": "edit"
                  }
                ]
              }
            },
            {
              "conditions": {
                "options": {
                  "version": 1,
                  "leftValue": "",
                  "caseSensitive": false,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "4268d714-1ad7-41e3-9003-6261ffb5e61f",
                    "operator": {
                      "name": "filter.operator.equals",
                      "type": "string",
                      "operation": "equals"
                    },
                    "leftValue": "={{ $('Process Callback').item.json.action }}",
                    "rightValue": "reject"
                  }
                ]
              }
            }
          ]
        },
        "options": {
          "ignoreCase": true
        }
      },
      "typeVersion": 3,
      "alwaysOutputData": false
    },
    {
      "id": "211f2430-b7fc-47d7-8fb3-6353a1e9779a",
      "name": "상태 전송 (승인)",
      "type": "n8n-nodes-base.telegram",
      "position": [
        -1120,
        480
      ],
      "webhookId": "a4e1e719-2120-4877-b087-a900797b2b7d",
      "parameters": {
        "text": "Approved the post and ready to post to linkedIn",
        "chatId": "={{ $('Process Callback').item.json.chat_id }}",
        "forceReply": {},
        "replyMarkup": "forceReply",
        "additionalFields": {
          "parse_mode": "HTML"
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "M9h9AMg2S3J0VkNB",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "95a591bc-7533-445f-abc0-1cb60e76ec48",
      "name": "게시 확인",
      "type": "n8n-nodes-base.telegram",
      "position": [
        -96,
        480
      ],
      "webhookId": "89ab4048-4f71-4431-b9dd-0da3b05aa318",
      "parameters": {
        "text": "=🎉 Post Published Successfully!\n✅ Your LinkedIn post is now live\n{{ $json.urn }}\n📊 Engagement tracking enabled",
        "chatId": "={{ $('Process Callback').item.json.chat_id }}",
        "additionalFields": {
          "parse_mode": "HTML"
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "M9h9AMg2S3J0VkNB",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "5c10dc1d-2964-4089-8222-25dc69b09f9d",
      "name": "재작성 처리",
      "type": "n8n-nodes-base.code",
      "position": [
        -528,
        1280
      ],
      "parameters": {
        "jsCode": "// Process the rewritten content and prepare for approval\nconst rewrittenContent = $input.item.json.text || $input.item.json.response;\nconst originalData = $('Process Callback').item.json;\n\nreturn {\n  json: {\n    ...originalData,\n    rewritten_content: rewrittenContent,\n    status: 'rewritten',\n    message: `✏️ <b>Post Rewritten!</b>\\n\\n<i>Here's the improved version:</i>\\n\\n${rewrittenContent}\\n\\n<b>📋 Actions:</b>`,\n    linkedin_content: rewrittenContent\n  }\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "3970d4b0-8d13-4854-9eb5-62db19484b81",
      "name": "승인을 위한 재작성 전송",
      "type": "n8n-nodes-base.telegram",
      "position": [
        32,
        1280
      ],
      "webhookId": "033e2a7d-8f5a-44a4-bf61-e5d5b278775a",
      "parameters": {
        "text": "={{ $json.final_approved_post }}",
        "chatId": "={{ $('Process Callback').item.json.chat_id }}",
        "replyMarkup": "inlineKeyboard",
        "inlineKeyboard": {
          "rows": [
            {
              "row": {
                "buttons": [
                  {
                    "text": "✅ Approve Rewrite",
                    "additionalFields": {
                      "callback_data": "=approve_{{ $json.post_id }}"
                    }
                  },
                  {
                    "text": "✏️ Edit Again",
                    "additionalFields": {
                      "callback_data": "=edit_{{ $json.post_id }}"
                    }
                  }
                ]
              }
            },
            {
              "row": {
                "buttons": [
                  {
                    "text": "❌ Reject",
                    "additionalFields": {
                      "callback_data": "=reject_{{ $json.post_id }}"
                    }
                  }
                ]
              }
            }
          ]
        },
        "additionalFields": {
          "parse_mode": "HTML"
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "M9h9AMg2S3J0VkNB",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "cfb82bd5-01a6-48dd-b6ea-293909b44d84",
      "name": "거부 전송",
      "type": "n8n-nodes-base.telegram",
      "position": [
        -1216,
        1584
      ],
      "webhookId": "5d999c74-deb2-47d3-aa36-bf994e17d9f1",
      "parameters": {
        "text": "LinkedIn post has been rejected.",
        "chatId": "={{ $('Switch').item.json.callback_query.message.chat.id }}",
        "additionalFields": {
          "parse_mode": "HTML"
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "M9h9AMg2S3J0VkNB",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "d21a09c5-dbf8-488e-9197-d32baa9e43df",
      "name": "콜백 쿼리 응답",
      "type": "n8n-nodes-base.telegram",
      "onError": "continueRegularOutput",
      "position": [
        -1872,
        672
      ],
      "webhookId": "56d17f3a-fa25-4615-bfe8-4e802f1ef3d2",
      "parameters": {
        "queryId": "={{ $json.queryId }}",
        "resource": "callback",
        "additionalFields": {
          "text": "Processing your action..",
          "show_alert": true
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "M9h9AMg2S3J0VkNB",
          "name": "Telegram account"
        }
      },
      "notesInFlow": false,
      "typeVersion": 1.2
    },
    {
      "id": "5808faa3-e584-4014-b476-4da1750bcdc9",
      "name": "메시지 전송 및 응답 대기",
      "type": "n8n-nodes-base.telegram",
      "position": [
        -1216,
        1280
      ],
      "webhookId": "524bdf9a-82a3-4186-8a39-52f66f678b84",
      "parameters": {
        "chatId": "={{ $('Switch').item.json.callback_query.message.chat.id }}",
        "message": "=Please add the instructions",
        "options": {
          "responseFormTitle": "Edit Instructions",
          "messageButtonLabel": "Submit"
        },
        "operation": "sendAndWait",
        "responseType": "freeText"
      },
      "credentials": {
        "telegramApi": {
          "id": "M9h9AMg2S3J0VkNB",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2,
      "alwaysOutputData": false
    },
    {
      "id": "50cb382e-6d1f-458a-8cc4-57ee8d29fbca",
      "name": "게시물 생성",
      "type": "n8n-nodes-base.linkedIn",
      "position": [
        -432,
        480
      ],
      "parameters": {
        "text": "={{ $json.final_approved_post }}",
        "person": "2pXvRPsqOC",
        "additionalFields": {
          "visibility": "PUBLIC"
        }
      },
      "credentials": {
        "linkedInOAuth2Api": {
          "id": "DPSxvNjFSB0jGoB0",
          "name": "LinkedIn account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "f83aa078-06c1-4b19-82d2-eb7385609b9e",
      "name": "재편집 체인",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        -992,
        1184
      ],
      "parameters": {
        "text": "=Instructions: \n{{ $json.data.text }}",
        "batching": {},
        "messages": {
          "messageValues": [
            {
              "message": "=You are a professional LinkedIn content writer. Rewrite the following post to make it more engaging, professional, and suitable for LinkedIn as per the user's instructions.\n\nCONTENT REQUIREMENTS:\n\nDeliver only the rewritten LinkedIn post content, without additional commentary or formatting.\n\nOutput should be in plain text, not markdown.\n\nStructure content for mobile readability with short paragraphs (2-3 lines).\n\nUse a compelling opening line that grabs attention.\n\nMake the content conversational yet professional, authoritative but approachable.\n\nInclude clear, actionable insights or takeaways.\n\nEnsure flow with smooth transitions between ideas.\n\nEnd with a meaningful call-to-action that encourages engagement.\n\nUse emojis sparingly (1-3 maximum) only for emphasis.\n\nIncorporate relevant hashtags (3-5) to increase reach.\n\nDo not exceed 2800 characters.\n\nINSTRUCTIONS:\n\nRewrite only the LinkedIn post section provided.\n\nDo not include explanations, notes, or additional commentary.\n\nMaintain third person perspective unless first person is explicitly requested."
            },
            {
              "type": "HumanMessagePromptTemplate",
              "message": "=Original Post: \n{{ $('Switch').item.json.callback_query.message.text }}\n"
            }
          ]
        },
        "promptType": "define"
      },
      "typeVersion": 1.7
    },
    {
      "id": "29cc76e7-c8eb-4931-91fa-1adafcbbea71",
      "name": "시트1에서 행 가져오기",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        -832,
        480
      ],
      "parameters": {
        "options": {
          "returnFirstMatch": true
        },
        "filtersUI": {
          "values": [
            {
              "lookupValue": "={{ $('Process Callback').item.json.post_id }}",
              "lookupColumn": "post_id"
            }
          ]
        },
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c/edit#gid=0",
          "cachedResultName": "Posts_Master"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c/edit?usp=drivesdk",
          "cachedResultName": "LinekedIn Posts"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "ExnZpB5bwFQ3gQ5N",
          "name": "Google Sheets account 2"
        }
      },
      "typeVersion": 4.7,
      "alwaysOutputData": true
    },
    {
      "id": "c6eed7a0-7e0b-49b6-8c5f-9fa27ea9b064",
      "name": "시트1에서 행 업데이트",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        -192,
        1280
      ],
      "parameters": {
        "columns": {
          "value": {
            "post_id": "={{ $json.post_id }}",
            "final_approved_post": "={{ $json.rewritten_content }}"
          },
          "schema": [
            {
              "id": "post_id",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "post_id",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "timestamp",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "timestamp",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "user_id",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "user_id",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "user_name",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "user_name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "input_type",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "input_type",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "original_message",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "original_message",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "extracted_urls",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "extracted_urls",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "identified_topics",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "identified_topics",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "search_queries",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "search_queries",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "search_results_summary",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "search_results_summary",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "scraped_content_summary",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "scraped_content_summary",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "content_sources",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "content_sources",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "initial_generated_post",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "initial_generated_post",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "final_approved_post",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "final_approved_post",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "hashtags_used",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "hashtags_used",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "character_count",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "character_count",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "has_media",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "has_media",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "media_urls",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "media_urls",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "approval_status",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "approval_status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "rejection_reason",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "rejection_reason",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "edit_iterations",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "edit_iterations",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "time_to_approval",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "time_to_approval",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "posted_datetime",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "posted_datetime",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "scheduled_time",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "scheduled_time",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "linkedin_post_url",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "linkedin_post_url",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "post_type",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "post_type",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_1h",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_1h",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_24h",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_24h",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_7d",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_7d",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_30d",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_30d",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "reactions_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "reactions_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "likes",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "likes",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "celebrates",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "celebrates",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "loves",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "loves",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "comments_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "comments_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "shares_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "shares_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "clicks_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "clicks_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "engagement_rate",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "engagement_rate",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "viral_score",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "viral_score",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "follower_growth",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "follower_growth",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "performance_tier",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "performance_tier",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "last_metrics_update",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "last_metrics_update",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "engagement_rate",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "engagement_rate",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "approval_status",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "approval_status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "row_number",
              "type": "number",
              "display": true,
              "removed": true,
              "readOnly": true,
              "required": false,
              "displayName": "row_number",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "post_id"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "update",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c/edit#gid=0",
          "cachedResultName": "Posts_Master"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c/edit?usp=drivesdk",
          "cachedResultName": "LinekedIn Posts"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "ExnZpB5bwFQ3gQ5N",
          "name": "Google Sheets account 2"
        }
      },
      "typeVersion": 4.7
    },
    {
      "id": "75e4fd6d-d628-4a5d-8f81-086239fe714e",
      "name": "시트2에서 행 업데이트",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        -928,
        1584
      ],
      "parameters": {
        "columns": {
          "value": {
            "post_id": "={{ $('Process Callback').item.json.post_id }}",
            "approval_status": "Rejected",
            "final_approved_post": "={{ $json.rewritten_content }}"
          },
          "schema": [
            {
              "id": "post_id",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "post_id",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "timestamp",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "timestamp",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "user_id",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "user_id",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "user_name",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "user_name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "input_type",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "input_type",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "original_message",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "original_message",
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                    "rightValue": ""
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      "typeVersion": 3.2
    },
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      "name": "권한 확인",
      "type": "n8n-nodes-base.if",
      "position": [
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      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
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    },
    {
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      "type": "n8n-nodes-base.telegram",
      "position": [
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      ],
      "webhookId": "64c87731-9baa-425f-aa91-9e1a4df18af8",
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        "chatId": "={{ $json.chat_id }}",
        "forceReply": {},
        "replyMarkup": "=none",
        "additionalFields": {
          "parse_mode": "HTML",
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        },
        "replyKeyboardRemove": {},
        "replyKeyboardOptions": {}
      },
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      },
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      ],
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    },
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      ],
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          "id": "pIUa3jvWSpNXcddu",
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      "type": "n8n-nodes-base.set",
      "position": [
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      ],
      "parameters": {
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        "options": {},
        "jsonOutput": "{\n  \"telegram_ids\": [\"593214004\", \"987654321\", \"555666777\"],\n  \"usernames\": [\"varun_k\", \"Sateesh_Yavarna\", \"john_doe\"]\n}"
      },
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      "position": [
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      ],
      "parameters": {
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        "content": "🔍 SMART CONTENT ANALYSIS\n\nUses AI to classify input message:\n- URL: Links to scrape content from\n- Topic: Keywords to search for\n- Content: Ready-to-post text\n- Mixed: Combination of above\n\nExtracts URLs, topics, and processing instructions\nNext: Dynamic routing based on content type"
      },
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      "position": [
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      ],
      "parameters": {
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        "height": 272,
        "content": "🎯 TELEGRAM INPUT & VALIDATION\n\n- Receives messages from authorized Telegram users\n- Validates user permissions against whitelist\n- Generates unique post ID for tracking\n- Routes messages vs callback queries to appropriate paths\n\nNext: Content analysis and classification"
      },
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    },
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
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        "content": "⚡ INTELLIGENT CONTENT ROUTING\n\nRoutes content based on classification:\n- URL Path → Web scraping pipeline\n- Topic Path → Search engine pipeline  \n- Direct Path → Immediate processing\n- Mixed → Multiple pipelines\n\nSmart branching ensures optimal content gathering\nNext: Content collection from various sources"
      },
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      "name": "스티커 노트3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
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        "content": "📄 CONTENT EXTRACTION\n\n- Processes each URL individually\n- Uses Firecrawl to extract article content\n- Handles multiple URLs with batch processing\n- Merges all scraped content with source attribution\n\nExtracts: Article text, metadata, source URLs\nNext: Content synthesis with other sources\n"
      },
      "typeVersion": 1
    },
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      "name": "스티커 노트4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        64
      ],
      "parameters": {
        "width": 336,
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        "content": "📰 REAL-TIME INFORMATION GATHERING\n\n- Uses Brave Search for latest industry trends\n- Queries based on identified topics\n- Fetches current news and relevant information\n- Formats results for AI processing\n\nProvides: Recent articles, trending topics, fresh insights\nNext: Content synthesis with scraped data"
      },
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      "name": "스티커 노트5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
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        "height": 256,
        "content": "⚙️ MULTI-SOURCE DATA MERGER\n\nCombines all gathered information:\n- Original user message and instructions\n- Scraped web content with sources\n- Search results and trending data\n- Processing metadata and context\n\nCreates comprehensive content brief for AI generation\nNext: LinkedIn post creation"
      },
      "typeVersion": 1
    },
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      "name": "스티커 노트6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        -400
      ],
      "parameters": {
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        "content": "✍️ PROFESSIONAL POST CREATION\n\nGoogle Gemini generates LinkedIn-optimized content:\n- Professional tone and structure\n- Mobile-friendly formatting\n- Strategic hashtags and CTAs\n- Source attribution when applicable\n- Character limit compliance (2800 max)\n\nOutput: Complete LinkedIn post with metadata\nNext: User preview and approval"
      },
      "typeVersion": 1
    },
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      "name": "스티커 노트7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
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        "height": 256,
        "content": "👀 INTERACTIVE PREVIEW & APPROVAL\n\nSends formatted preview to Telegram with:\n- Complete post content preview\n- Character count and hashtag analysis\n- Interactive buttons: Approve/Edit/Reject\n- Post analytics and key points summary\n\nUser controls final content before publishing\nNext: Action processing based on user choice"
      },
      "typeVersion": 1
    },
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      "name": "스티커 노트8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        432
      ],
      "parameters": {
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        "height": 192,
        "content": "⚡ USER ACTION HANDLER\n\nProcesses user decisions:\n- APPROVE → Direct LinkedIn publishing\n- EDIT → AI rewriting with user instructions\n- REJECT → Workflow termination with logging\n\nHandles approval workflow and edit iterations\nNext: Final action execution"
      },
      "typeVersion": 1
    },
    {
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      "name": "스티커 노트9",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        704
      ],
      "parameters": {
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        "height": 224,
        "content": "🔧 AI-POWERED CONTENT REFINEMENT\n\nWhen user requests edits:\n- Prompts for specific edit instructions\n- Uses AI to rewrite based on feedback\n- Maintains original intent and sources\n- Shows new version for re-approval\n\nIterative improvement until user satisfaction\nNext: Re-approval or publishing"
      },
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    },
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      "name": "스티커 노트10",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        720
      ],
      "parameters": {
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        "content": "📤 LINKEDIN POST PUBLICATION\n\nFinal publishing process:\n- Retrieves approved content from tracking sheet\n- Posts directly to LinkedIn via API\n- Confirms successful publication\n- Updates tracking with post status\n\nOutput: Live LinkedIn post with confirmation"
      },
      "typeVersion": 1
    }
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자주 묻는 질문
이 워크플로우를 어떻게 사용하나요?

위의 JSON 구성 코드를 복사하여 n8n 인스턴스에서 새 워크플로우를 생성하고 "JSON에서 가져오기"를 선택한 후, 구성을 붙여넣고 필요에 따라 인증 설정을 수정하세요.
이 워크플로우는 어떤 시나리오에 적합한가요?

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이 워크플로우를 어떻게 사용하나요?

이 워크플로우는 어떤 시나리오에 적합한가요?

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