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Google 트렌드와 Perplexity를 활용한 소셜 미디어 포스트 자동 생성

고급

이것은AI, Marketing분야의자동화 워크플로우로, 18개의 노드를 포함합니다.주로 Set, Code, Wait, Twitter, LinkedIn 등의 노드를 사용하며인공지능 기술을 결합하여 스마트 자동화를 구현합니다. Google 트렌드와 Perplexity AI를 기반으로 한 AI 기반 다중 소셜 미디어 포스트 자동화

사전 요구사항
  • Twitter API 인증 정보
  • LinkedIn API 인증 정보
  • 대상 API의 인증 정보가 필요할 수 있음
  • Google Sheets API 인증 정보
  • OpenAI API Key
  • Facebook Graph API 인증 정보
워크플로우 미리보기
노드 연결 관계를 시각적으로 표시하며, 확대/축소 및 이동을 지원합니다
워크플로우 내보내기
다음 JSON 구성을 복사하여 n8n에 가져오면 이 워크플로우를 사용할 수 있습니다
{
  "id": "vJw8YoQhdA5CXGeB",
  "meta": {
    "instanceId": "f2cf6301a998e16084609c8635767c7f2fe71603e7ba21b5457aa517ce5164cb",
    "templateCredsSetupCompleted": true
  },
  "name": "Social_media_post _automation_from_google_trends_and _perplexity copy",
  "tags": [],
  "nodes": [
    {
      "id": "39b1272c-3700-4ce6-9aea-46b3a647fc26",
      "name": "X1",
      "type": "n8n-nodes-base.twitter",
      "position": [
        -1500,
        0
      ],
      "parameters": {
        "additionalFields": {}
      },
      "credentials": {
        "twitterOAuth2Api": {
          "id": "tNwQsAkmjk3b0Dp6",
          "name": "X account"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "4bab1fd3-1c21-4438-8cc1-e0d0fdde390e",
      "name": "Facebook Graph API1",
      "type": "n8n-nodes-base.facebookGraphApi",
      "position": [
        -1500,
        -400
      ],
      "parameters": {
        "options": {},
        "httpRequestMethod": "POST"
      },
      "typeVersion": 1
    },
    {
      "id": "ffcd9aa8-daef-41dc-8ad3-b9a55a817b8b",
      "name": "LinkedIn1",
      "type": "n8n-nodes-base.linkedIn",
      "position": [
        -1480,
        -200
      ],
      "parameters": {
        "text": "={{ $json['choices[0].message.content'] }}",
        "person": "[CONFIGURE_YOUR_LINKEDIN_PERSON_ID]",
        "authentication": "communityManagement",
        "additionalFields": {}
      },
      "credentials": {
        "linkedInCommunityManagementOAuth2Api": {
          "id": null,
          "name": "[CONFIGURE_YOUR_LINKEDIN_CREDENTIALS]"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "a2c2c5e5-e9b1-4744-9883-c63cda3306c9",
      "name": "Google 스프레드시트2",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        -1280,
        -200
      ],
      "parameters": {
        "columns": {
          "value": {
            "Topic": "={{ $('Choosing Topic').item.json.message.content }}",
            "Status": "Posted",
            "AI Output": "={{ $json['choices[0].message.content'] }}",
            "Date Posted": "={{ $('Schedule Trigger').item.json.timestamp }}"
          },
          "schema": [
            {
              "id": "Topic",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Topic",
              "defaultMatch": false,
              "canBeUsedToMatch": true
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            {
              "id": "Status",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "AI Output",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "AI Output",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Date Posted",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Date Posted",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "Topic"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "appendOrUpdate",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "[YOUR_GOOGLE_SHEETS_URL]",
          "cachedResultName": "Sheet1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "[YOUR_GOOGLE_SHEETS_DOCUMENT_ID]",
          "cachedResultUrl": "[YOUR_GOOGLE_SHEETS_URL]",
          "cachedResultName": "LinkedIn Automation"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": null,
          "name": "[CONFIGURE_YOUR_GOOGLE_SHEETS_CREDENTIALS]"
        }
      },
      "typeVersion": 4.5
    },
    {
      "id": "51d3733a-004c-4938-9575-d227588140b7",
      "name": "분할 출력",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        -1720,
        -200
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "choices[0].message.content"
      },
      "typeVersion": 1
    },
    {
      "id": "cc9b1e41-aaeb-43fb-a283-e3faf397cc73",
      "name": "일정 트리거",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        -3420,
        -200
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "triggerAtHour": 6
            },
            {
              "triggerAtHour": 18
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "01d0a3b7-66db-4032-b7d7-7a7b273920a7",
      "name": "Research Topic- Perplexity",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -2160,
        -200
      ],
      "parameters": {
        "url": "https://api.perplexity.ai/chat/completions",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"model\": \"sonar-pro\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"Act as a skilled editor revising AI-generated text to sound authentically human. Follow these rules:\\n\\n1. Punctuation Adjustments\\n   - Replace em dashes, semicolons, or rephrase sentences where appropriate.\\n   - Avoid semicolons in casual contexts; use periods or conjunctions (e.g., 'and,' 'but').\\n   - Remove mid-sentence ellipses unless mimicking deliberate hesitation.\\n   - Limit parenthetical asides; integrate explanations into the main sentence.\\n   - Use colons sparingly.\\n\\n2. Language\\n   - Replace hedging phrases with direct statements.\\n   - Avoid stock transitions.\\n   - Vary repetitive terms.\\n   - Use contractions in informal contexts.\\n   - Replace overly formal words with simpler alternatives.\\n\\n3. Style\\n   - Prioritize concise, varied sentence lengths.\\n   - Allow minor imperfections.\\n   - Maintain the core message but adjust tone to match the audience.\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": \"You are a researcher and expert copywriter in a business development team of an AI Automation Agency. Generate exactly one LinkedIn post that adheres to LinkedIn's API formatting guidelines and is easy for humans to read. Follow these rules:\\n\\nStructure:\\n1. Hook: Start with a bold opening line using Unicode characters (e.g., \\\"𝐁𝐎𝐋𝐃 𝐒𝐓𝐀𝐓𝐄𝐌𝐄𝐍𝐓\\\").\\n2. Body: Use short paragraphs (1-3 sentences) separated by \\\\n\\\\n.\\n3. Use bullet points (•) for key features or highlights.\\n4. End with a clear call-to-action (e.g., \\\"Comment below with your thoughts!\\\").\\n\\nFormatting Requirements:\\n- Remove all numeric citation brackets like [2], [3], [4] from the text.\\n- Instead of citation brackets, if needed, add a brief phrase like \\\"according to Google I/O 2025\\\" or \\\"as reported by DeepMind\\\" naturally within the sentence.\\n- No Markdown or rich text formatting.\\n- Use Unicode characters or emojis for emphasis (e.g., ★, 🚀).\\n- Include up to 3 relevant hashtags at the end (e.g., #AI #Automation).\\n- For URLs or references, use placeholders like [Link] instead of raw URLs.\\n- If mentioning users or companies, use official LinkedIn URN format (e.g., \\\"urn:li:organization:123456\\\").\\n\\nContent Rules:\\n- Max 1,200 characters.\\n- Avoid promotional language.\\n- Include one statistical claim or industry insight.\\n- Add one personal anecdote or professional observation.\\n\\nReturn the post as plain text without additional commentary.\\n\\nInput: {{ $json.message.content }}\"\n    }\n  ]\n}\n",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": null,
          "name": "[CONFIGURE_YOUR_PERPLEXITY_API_KEY]"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "1b226459-7dc7-46c2-9b02-769cd213e927",
      "name": "2 Most Trending",
      "type": "n8n-nodes-base.set",
      "position": [
        -2980,
        -200
      ],
      "parameters": {
        "mode": "raw",
        "options": {},
        "jsonOutput": "={\n  \"most-trending\": {\n\n    \"#1\": { \n\n      \"query\":\"{{ $json.related_queries.rising[0].query }}\",\n      \"score\":\"{{ $json.related_queries.rising[0].extracted_value }}\"\n\n    },\n\n\n    \"#2\": { \n\n      \"query\":\"{{ $json.related_queries.rising[1].query }}\",\n      \"score\":\"{{ $json.related_queries.rising[1].extracted_value }}\"\n\n    }\n  }\n}"
      },
      "typeVersion": 3.4
    },
    {
      "id": "75ccf42a-7dc8-4cc8-9d5d-202ff4b2b795",
      "name": "High search volume keywords",
      "type": "n8n-nodes-base.code",
      "position": [
        -2760,
        -200
      ],
      "parameters": {
        "jsCode": "// Get the top array from your JSON\nconst topItems = $('Google Trends').first().json.related_queries.top;\n\n// Filter the items to only include those with extracted_value > 30\nconst filtered = topItems.filter(item => item.extracted_value > 30);\n\n// Map the filtered items to their query values and join them with commas\nconst resultString = filtered.map(item => item.query).join(', ');\n\n// Return the result in a new JSON property\nreturn [{ json: { result: resultString } }];\n"
      },
      "typeVersion": 2
    },
    {
      "id": "c85503d1-76e7-4dd7-a2e3-69966f69e0cd",
      "name": "Choosing Topic",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "position": [
        -2540,
        -200
      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-3.5-turbo",
          "cachedResultName": "GPT-3.5-TURBO"
        },
        "options": {},
        "messages": {
          "values": [
            {
              "content": "=You are part of a team that creates world class blog posts. Your job is to choose the topic for each blog post. \n\nThe blog posts are posted on the website of a [COMPANY NAME + DESCRIPTION + PRODUCTS + TARGET MARKET]. The blog posts are mainly posted as part of an SEO campaign to get [YOUR_COMPANY] to rank high for its products and services.\n\nIn this instance, you are given a list of 2 keywords which have been trending the most on Google news search over the past few days. \n\nYour job is to pick one which you think would make for the most relevant blog post with the best SEO outcomes for the client. \n\nThe keywords have two attributes: \n\n1. query: This attribute determines the search query that users have been searching for which is trending. \n\n2. value: This attribute determines what percentage increase the keyword has seen compared to previous periods (i.e. the increase in search volume). \n\nYou must choose one out of the taking into consideration both the relevance of the keyword for [YOUR_COMPANY]'s SEO efforts and the comparative trendiness determined by the value attribute. \n\nOutput the keyword you decided to post a blog on and nothing else. Don't explain your reasoning. Just output the keyword. \n\nThis instance: \n\nKeyword 1:\n{{ $('2 Most Trending').item.json['most-trending']['#1'].toJsonString() }} \n\nKeyword2: \n{{ $('2 Most Trending').item.json['most-trending']['#2'].toJsonString() }} "
            }
          ]
        }
      },
      "credentials": {
        "openAiApi": {
          "id": null,
          "name": "[CONFIGURE_YOUR_OPENAI_API_KEY]"
        }
      },
      "typeVersion": 1.8
    },
    {
      "id": "37d7191c-878e-424e-90be-3fe2bdff625a",
      "name": "메모",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -3240,
        -280
      ],
      "parameters": {
        "width": 400,
        "height": 240,
        "content": "## Find Trend\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "9987f2ae-0ec1-48b5-81f5-44a2f5a705b7",
      "name": "메모1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -2820,
        -280
      ],
      "parameters": {
        "width": 200,
        "height": 240,
        "content": "## High Volume Keywords\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "f4a25815-10e6-409c-a89a-baa2efecb119",
      "name": "메모2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -2580,
        -280
      ],
      "parameters": {
        "width": 340,
        "height": 240,
        "content": "## Choosing Blog Topic\n\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "c9206a42-1471-4a87-99ad-25bd5d318fb4",
      "name": "메모3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -2200,
        -280
      ],
      "parameters": {
        "width": 600,
        "height": 240,
        "content": "## Research\n\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "089fdbf7-f1a0-4cd5-9769-caf94b05a939",
      "name": "Google Trends",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -3200,
        -200
      ],
      "parameters": {
        "url": "https://serpapi.com/search",
        "options": {},
        "sendQuery": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "q",
              "value": "=ai agents"
            },
            {
              "name": "geo",
              "value": "US"
            },
            {
              "name": "hl",
              "value": "en"
            },
            {
              "name": "date",
              "value": "={{ $now.minus({ days: 3 }).format('yyyy-MM-dd') }} {{ $now.format('yyyy-MM-dd') }}"
            },
            {
              "name": "data_type",
              "value": "RELATED_QUERIES"
            },
            {
              "name": "engine",
              "value": "google_trends"
            },
            {
              "name": "api_key",
              "value": "[YOUR_SERPAPI_KEY]"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "13f0ea49-1dbe-4b33-9c73-ebe9d3099003",
      "name": "대기",
      "type": "n8n-nodes-base.wait",
      "position": [
        -1940,
        -200
      ],
      "webhookId": "[GENERATED_WEBHOOK_ID]",
      "parameters": {
        "amount": 10
      },
      "typeVersion": 1.1
    },
    {
      "id": "c582949e-858f-4aa7-984b-0bd94212009f",
      "name": "메모4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1560,
        -540
      ],
      "parameters": {
        "height": 800,
        "content": "## Multi Social Media Posting"
      },
      "typeVersion": 1
    },
    {
      "id": "77f592f4-fc6c-4633-ba2e-e671b18d6a1b",
      "name": "메모5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1300,
        -280
      ],
      "parameters": {
        "height": 260,
        "content": "## Status update"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "9211dd42-49be-406b-94aa-297f48c13f3e",
  "connections": {
    "Wait": {
      "main": [
        [
          {
            "node": "Split Out",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "ffcd9aa8-daef-41dc-8ad3-b9a55a817b8b": {
      "main": [
        [
          {
            "node": "Google Sheets2",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Split Out": {
      "main": [
        [
          {
            "node": "39b1272c-3700-4ce6-9aea-46b3a647fc26",
            "type": "main",
            "index": 0
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    "1b226459-7dc7-46c2-9b02-769cd213e927": {
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    },
    "Schedule Trigger": {
      "main": [
        [
          {
            "node": "089fdbf7-f1a0-4cd5-9769-caf94b05a939",
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    "01d0a3b7-66db-4032-b7d7-7a7b273920a7": {
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        [
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            "node": "Wait",
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          }
        ]
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    },
    "75ccf42a-7dc8-4cc8-9d5d-202ff4b2b795": {
      "main": [
        [
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            "index": 0
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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?

고급 - 인공지능, 마케팅

유료인가요?

이 워크플로우는 완전히 무료이며 직접 가져와 사용할 수 있습니다. 다만, 워크플로우에서 사용하는 타사 서비스(예: OpenAI API)는 사용자 직접 비용을 지불해야 할 수 있습니다.

워크플로우 정보
난이도
고급
노드 수18
카테고리2
노드 유형12
난이도 설명

고급 사용자를 위한 16+개 노드의 복잡한 워크플로우

저자
Gerald Denor

Gerald Denor

@dominixai

Gerald Akhidenor is an AI Automation Lead Creative with 5 years of experience in AI automation consultancy. He specializes in n8n and API integrations, driving innovative automation solutions. As founder of DominixAI, Gerald combines creative vision and technical expertise to streamline processes and boost efficiency through cutting-edge AI technologies.

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카테고리

카테고리: 34