AI YouTube 분석 어시스턴트: 댓글 분석 및 인사이트 리포트
고급
이것은AI, Marketing분야의자동화 워크플로우로, 19개의 노드를 포함합니다.주로 If, Set, Code, Gmail, Limit 등의 노드를 사용하며인공지능 기술을 결합하여 스마트 자동화를 구현합니다. AI YouTube 분석 어시스턴트: 댓글 분석기 및 인사이트 리포트 생성기
사전 요구사항
- •Google 계정 및 Gmail API 인증 정보
- •대상 API의 인증 정보가 필요할 수 있음
- •Google Sheets API 인증 정보
- •OpenAI API Key
사용된 노드 (19)
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
{
"meta": {
"instanceId": "5aaf4236c70e34e423fbdb2c7b754d19253a933bb1476d548f75848a01e473cf",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "e0eae618-d330-4b74-b5a4-528a28ec91c6",
"name": "Sticky Note12",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1260,
220
],
"parameters": {
"color": 4,
"width": 480,
"height": 740,
"content": "=======================================\n WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n - YouTube: https://www.youtube.com/@YaronBeen/videos\n - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n"
},
"typeVersion": 1
},
{
"id": "e73f0186-b1a7-4ab9-a23e-94a38d51f8bb",
"name": "워크플로우 개요",
"type": "n8n-nodes-base.stickyNote",
"position": [
-640,
420
],
"parameters": {
"color": 2,
"width": 350,
"height": 820,
"content": "# 📊 YouTube Comment Analyzer Workflow\n\n**Purpose:** Automate YouTube comment collection, sentiment analysis, and email reporting\n\n**Schedule:** Triggers every minute for new/updated rows\n\n**Required Setup:**\n1. Google Sheet with video IDs\n2. YouTube API credentials\n3. OpenAI API key\n4. Gmail account\n\n## Workflow Steps:\n1. **Trigger** - Monitor Google Sheet\n2. **Filter** - Process only 'Pending' videos\n3. **Fetch** - Get video details & comments\n4. **Analyze** - AI sentiment analysis\n5. **Report** - Send email summary\n6. **Update** - Mark as processed"
},
"typeVersion": 1
},
{
"id": "606f8cb5-54a5-4a90-be41-089d7ccae72f",
"name": "트리거 문서화",
"type": "n8n-nodes-base.stickyNote",
"position": [
-260,
320
],
"parameters": {
"color": 3,
"width": 380,
"height": 340,
"content": "## 🚀 Trigger Section\n\n**Google Sheets Trigger**\nMonitors the spreadsheet every minute for:\n- New video IDs added\n- Status changes to 'Pending'\n\n**Required Sheet Structure:**\n| ID | Video Title | YouTube Video ID | Status |\n\n⚠️ Set Status to 'Pending' to trigger analysis"
},
"typeVersion": 1
},
{
"id": "f225b68e-272e-4414-82c2-2f79cfbcc381",
"name": "YouTube API 섹션",
"type": "n8n-nodes-base.stickyNote",
"position": [
560,
440
],
"parameters": {
"width": 280,
"height": 200,
"content": "## 📹 YouTube Data Collection\n\n**This section fetches:**\n- Video metadata (title, channel)\n- Top 100 comments\n- Comment statistics\n\n**API Limits:**\n- Max 100 comments per request\n- Ordered by relevance\n- Top-level comments only"
},
"typeVersion": 1
},
{
"id": "628d65ff-007c-4b7a-862e-64158fa80e7c",
"name": "AI 분석 문서화",
"type": "n8n-nodes-base.stickyNote",
"position": [
1300,
420
],
"parameters": {
"color": 5,
"width": 320,
"height": 250,
"content": "## 🤖 AI Analysis Section\n\n**GPT-4o analyzes comments for:**\n1. Sentiment breakdown (positive/negative/neutral)\n2. Main themes & topics\n3. Common viewer questions\n4. Key feedback points\n5. Actionable insights\n\n**Output Format:** Structured JSON with underscore keys\n\n💡 Customize the prompt in AI Agent node for different analysis needs"
},
"typeVersion": 1
},
{
"id": "85b58261-88e1-499a-a082-548713da293e",
"name": "이메일 및 상태 업데이트",
"type": "n8n-nodes-base.stickyNote",
"position": [
1820,
460
],
"parameters": {
"color": 4,
"width": 300,
"height": 220,
"content": "## 📧 Email & Update Section\n\n**Email Report includes:**\n- Video statistics\n- Sentiment analysis\n- Key insights\n- Formatted HTML\n\n**Final Step:**\nUpdates Google Sheet status to 'Mail Sent' to prevent duplicate processing\n\n⚠️ Update recipient email in Gmail node"
},
"typeVersion": 1
},
{
"id": "e0ba6c37-8b04-406b-9158-aef610274135",
"name": "데이터 처리 노트",
"type": "n8n-nodes-base.stickyNote",
"position": [
1060,
900
],
"parameters": {
"color": 6,
"width": 250,
"height": 180,
"content": "⚠️ **Data Preparation**\n\nThis node:\n- Extracts comment texts\n- Calculates statistics\n- Performs basic sentiment analysis\n- Prepares data for AI\n\nLimited to 50 comments for AI analysis to manage token usage"
},
"typeVersion": 1
},
{
"id": "d7edbd68-9213-426b-ae6b-71a13bb23690",
"name": "제한",
"type": "n8n-nodes-base.limit",
"notes": "Limits processing to 1 item at a time to prevent API overload",
"position": [
220,
700
],
"parameters": {},
"typeVersion": 1
},
{
"id": "42f0f581-57a0-438d-b1a1-29a89e984554",
"name": "AI 에이전트",
"type": "@n8n/n8n-nodes-langchain.agent",
"notes": "Uses OpenAI GPT-4o to analyze comments and generate insights. Customize the prompt for different analysis needs.",
"position": [
1320,
700
],
"parameters": {
"text": "=Analyze these comments from the video \"{{ $json.videoTitle }}\":\n\nTotal Comments: {{ $json.totalComments }}\nAverage Likes: {{ $json.avgLikes }}\n\nComments to analyze:\n{{ $json.commentTexts }}",
"options": {
"maxIterations": 100,
"systemMessage": "You are a YouTube comment analyst. Analyze the provided comments and return a structured analysis with:\n1. Overall sentiment breakdown (positive/negative/neutral percentages)\n2. Top 3-5 main themes or topics discussed\n3. Common questions from viewers\n4. Key feedback points and suggestions\n5. Actionable insights for content improvement\n\nFormat your response in clear sections with headers in json key value format and use underscore in the key name. Always use following keys for output json: \n1. overall_sentiment_breakdown\n2. main_themes\n3. common_questions\n4. key_feedback_points\n5. actionable_insights"
},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "35abbd58-e69a-4d86-963e-0a758aaff7b2",
"name": "OpenAI 채팅 모델",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1420,
920
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {
"responseFormat": "json_object"
}
},
"typeVersion": 1.2
},
{
"id": "747fb13b-ee39-4dd7-8338-8db07e3b568e",
"name": "조건문",
"type": "n8n-nodes-base.if",
"notes": "Filters rows to process only videos with 'Pending' status",
"position": [
0,
700
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "5f1eae10-5270-4e99-8627-597e3451c82c",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.Status }}",
"rightValue": "Pending"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "6895d6b4-4ae4-4092-9302-33b1c69167d6",
"name": "비디오 세부 정보 설정",
"type": "n8n-nodes-base.set",
"notes": "Prepares video ID and sets max comments limit (100)",
"position": [
440,
700
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "219795ef-daa4-4444-9865-c5d3856be63b",
"name": "videoId",
"type": "string",
"value": "={{ $json['Youtube video id'] }}"
},
{
"id": "cd4f519d-4c84-496c-8974-29ef69c890fc",
"name": "maxComments ",
"type": "number",
"value": 100
}
]
}
},
"typeVersion": 3.4
},
{
"id": "df200d75-d932-4bb4-9e57-16a940963db3",
"name": "YouTube 비디오 세부 정보 가져오기",
"type": "n8n-nodes-base.youTube",
"notes": "Fetches video metadata including title, channel name, and other details",
"position": [
660,
700
],
"parameters": {
"options": {},
"videoId": "={{ $json.videoId }}",
"resource": "video",
"operation": "get"
},
"typeVersion": 1
},
{
"id": "5346229d-9386-497b-99c7-192e75896bf2",
"name": "YouTube 비디오 댓글 가져오기",
"type": "n8n-nodes-base.httpRequest",
"notes": "Retrieves top 100 comments ordered by relevance using YouTube API",
"position": [
880,
700
],
"parameters": {
"url": "https://www.googleapis.com/youtube/v3/commentThreads",
"options": {},
"sendQuery": true,
"authentication": "predefinedCredentialType",
"queryParameters": {
"parameters": [
{
"name": "part",
"value": "snippet"
},
{
"name": "videoId",
"value": "={{ $('Set Video Details').item.json.videoId }}"
},
{
"name": "maxResults",
"value": "100"
},
{
"name": "order",
"value": "relevance"
}
]
},
"nodeCredentialType": "youTubeOAuth2Api"
},
"typeVersion": 4.2
},
{
"id": "ffee99ec-ad6d-4ac9-b0ad-e466a18ad7de",
"name": "댓글 데이터 준비",
"type": "n8n-nodes-base.code",
"notes": "Processes raw comments: extracts text, calculates stats, performs basic sentiment analysis, limits to 50 comments for AI",
"position": [
1100,
700
],
"parameters": {
"jsCode": "// Get comments from HTTP Request node\nconst comments = $input.first().json.items\n//const comments = response.items || [];\n\n// Get video title from the YouTube node (step 5)\n//const videoData = ;\nconst videoTitle = $('Get Youtube Video Details').first().json.snippet.title;\n\n// Extract comment data\nconst processedComments = comments.map(item => {\n const comment = item.snippet.topLevelComment.snippet;\n return {\n text: comment.textDisplay,\n author: comment.authorDisplayName,\n likes: comment.likeCount || 0,\n publishedAt: comment.publishedAt,\n replyCount: item.snippet.totalReplyCount || 0\n };\n});\n\n// Calculate statistics\nconst totalComments = processedComments.length;\nconst totalLikes = processedComments.reduce((sum, c) => sum + c.likes, 0);\nconst avgLikes = totalComments > 0 ? (totalLikes / totalComments).toFixed(2) : 0;\nconst totalReplies = processedComments.reduce((sum, c) => sum + c.replyCount, 0);\n\n// Get top comments by likes\nconst topComments = processedComments\n .sort((a, b) => b.likes - a.likes)\n .slice(0, 5);\n\n// Prepare comment texts for AI analysis\nconst commentTexts = processedComments\n .slice(0, 50) // Limit to 50 comments for AI analysis\n .map(c => c.text)\n .join('\\n---\\n');\n\n// Basic sentiment analysis (count positive/negative keywords)\nconst positiveWords = ['love', 'great', 'awesome', 'amazing', 'excellent', 'good', 'fantastic', 'helpful', 'thanks'];\nconst negativeWords = ['hate', 'terrible', 'awful', 'bad', 'worst', 'horrible', 'useless', 'waste'];\n\nlet positiveCount = 0;\nlet negativeCount = 0;\n\nprocessedComments.forEach(comment => {\n const lowerText = comment.text.toLowerCase();\n positiveWords.forEach(word => {\n if (lowerText.includes(word)) positiveCount++;\n });\n negativeWords.forEach(word => {\n if (lowerText.includes(word)) negativeCount++;\n });\n});\n\nreturn [{\n json: {\n videoTitle,\n totalComments,\n avgLikes,\n totalReplies,\n topComments,\n commentTexts,\n processedComments,\n sentimentCounts: {\n positive: positiveCount,\n negative: negativeCount,\n neutral: totalComments - positiveCount - negativeCount\n }\n }\n}];\n\n"
},
"typeVersion": 2
},
{
"id": "7eab55e1-e9e2-4750-a07d-f02941c7a8c6",
"name": "이메일용 HTML 준비",
"type": "n8n-nodes-base.code",
"notes": "Converts AI analysis into formatted HTML email with statistics, insights, and professional styling",
"position": [
1700,
700
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "const output = JSON.parse($json.output)\n //return output; \n//return output.overall_sentiment_breakdown.Positive;\n\nlet common_question = \"\";\n \noutput.common_questions.map(rec => {\n return common_question += \"<li>\"+rec.trim().replace(new RegExp(\".*,$\"), \"\")+\"</li>\"\n})\n\nlet key_feedback_points_and_suggestions = \"\";\n\noutput.key_feedback_points.map(rec => {\n return key_feedback_points_and_suggestions += \"<li>\"+rec.trim().replace(new RegExp(\".*,$\"), \"\")+\"</li>\"\n})\n\n\nlet actionable_insights_for_content_improvement = \"\"\n\noutput.actionable_insights.map(rec => {\n return actionable_insights_for_content_improvement += \"<li>\"+rec.trim().replace(new RegExp(\".*,$\"), \"\")+\"</li>\"\n})\n\n\n// return {common_question};\n\n\n \n\n//return output; \n// Generate the email HTML\nconst emailHTML = `\n<!DOCTYPE html>\n<html>\n<head>\n <style>\n body { font-family: Arial, sans-serif; line-height: 1.6; color: #333; }\n .header { background: #f4f4f4; padding: 20px; border-radius: 5px; }\n .section { margin: 20px 0; }\n .stats { background: #e9ecef; padding: 15px; border-radius: 5px; }\n .analysis { background: #f8f9fa; padding: 20px; border-radius: 5px; }\n h2 { color: #2c3e50; }\n h3 { color: #34495e; }\n h4 { color: #7f8c8d; }\n .footer { margin-top: 30px; padding-top: 20px; border-top: 1px solid #ddd; color: #666; font-size: 0.9em; }\n </style>\n</head>\n<body>\n <div class=\"header\">\n <h2>YouTube Comments Analysis Report</h2>\n <h3>Video: ${$(\"Prepare Comments Data\").item.json.videoTitle}</h3>\n </div>\n\n <div class=\"section stats\">\n <h3> Quick Statistics</h3>\n <ul>\n <li><strong>Total Comments Analyzed:</strong> ${$('Prepare Comments Data').item.json.totalComments}</li>\n <li><strong>Average Likes per Comment:</strong> ${$('Prepare Comments Data').item.json.avgLikes}</li>\n <li><strong>Total Replies:</strong> ${$('Prepare Comments Data').item.json.totalReplies}</li>\n <li><strong>Sentiment Summary:</strong> \n Positive: ${output.overall_sentiment_breakdown.positive}, \n Negative: ${output.overall_sentiment_breakdown.negative}, \n Neutral: ${output.overall_sentiment_breakdown.neutral}\n </li>\n </ul>\n </div>\n\n <div class=\"section stats\">\n <h3>Common Questions</h3>\n <ul>\n ${common_question}\n </ul>\n </div>\n\n <div class=\"section stats\">\n <h3>Key feedback points and suggestions</h3>\n <ul>\n ${key_feedback_points_and_suggestions}\n </ul>\n </div>\n\n\n <div class=\"section stats\">\n <h3>Actionable insights for content improvement</h3>\n <ul>\n ${actionable_insights_for_content_improvement}\n </ul>\n </div>\n\n\n\n\n <div class=\"footer\">\n <p><em>Report generated on ${new Date().toLocaleString()}</em></p>\n \n </div>\n</body>\n</html>`;\n\n\n// Return the formatted data\nreturn {\n json: {\n emailHTML,\n subject: `YouTube Analysis: ${$('Prepare Comments Data').item.json.videoTitle} - ${$('Prepare Comments Data').item.json.totalComments} comments analyzed`,\n videoTitle: $('Prepare Comments Data').item.json.videoTitle\n }\n};"
},
"typeVersion": 2
},
{
"id": "f789c4e0-813b-4f6d-9584-86a274fba969",
"name": "Gmail 계정 구성",
"type": "n8n-nodes-base.gmail",
"notes": "Sends formatted analysis report via Gmail. Update SENDER_EMAIL_ADDRESS with actual recipient",
"position": [
1920,
700
],
"webhookId": "90b8f9ad-4226-42a0-971b-7fa9f5f190bd",
"parameters": {
"sendTo": "SENDER_EMAIL_ADDRESS",
"message": "={{ $json.emailHTML }}",
"options": {},
"subject": "={{ $json.subject }}"
},
"typeVersion": 2.1
},
{
"id": "309d2e7d-2da0-439b-b2ac-87196d9f5733",
"name": "Google 시트에서 상태 업데이트",
"type": "n8n-nodes-base.googleSheets",
"notes": "Updates video status to 'Mail Sent' to prevent duplicate processing",
"position": [
2140,
700
],
"parameters": {
"columns": {
"value": {
"Id": "={{ $('Pick Video Ids from Google sheet').item.json.Id }}",
"Status": "Mail Sent"
},
"schema": [
{
"id": "Id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Youtube video id",
"type": "string",
"display": true,
"required": false,
"displayName": "Youtube video id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Status",
"type": "string",
"display": true,
"required": false,
"displayName": "Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "row_number",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "row_number",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"Id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "GOOGLE_DRIVE_URL",
"cachedResultName": "Youtube_Video "
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1qe6Ovp_pfmwZA2k5c7LmmZx-OKqv3hnu8Dg80Pw4KoY",
"cachedResultUrl": "GOOGLE_DRIVE_URL",
"cachedResultName": "Youtube_Video"
}
},
"typeVersion": 4.5
},
{
"id": "b62a4e3a-c843-4ed2-9ee4-cbfb1a218259",
"name": "Google 시트에서 비디오 ID 선택",
"type": "n8n-nodes-base.googleSheetsTrigger",
"notes": "Triggers on new YouTube videos added to spreadsheet. Polls every minute for changes",
"position": [
-220,
700
],
"parameters": {
"options": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "GOOGLE_DRIVE_URL",
"cachedResultName": "Youtube_Video "
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1qe6Ovp_pfmwZA2k5c7LmmZx-OKqv3hnu8Dg80Pw4KoY",
"cachedResultUrl": "GOOGLE_DRIVE_URL",
"cachedResultName": "Youtube_Video"
}
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"747fb13b-ee39-4dd7-8338-8db07e3b568e": {
"main": [
[
{
"node": "d7edbd68-9213-426b-ae6b-71a13bb23690",
"type": "main",
"index": 0
}
]
]
},
"d7edbd68-9213-426b-ae6b-71a13bb23690": {
"main": [
[
{
"node": "6895d6b4-4ae4-4092-9302-33b1c69167d6",
"type": "main",
"index": 0
}
]
]
},
"42f0f581-57a0-438d-b1a1-29a89e984554": {
"main": [
[
{
"node": "7eab55e1-e9e2-4750-a07d-f02941c7a8c6",
"type": "main",
"index": 0
}
]
]
},
"35abbd58-e69a-4d86-963e-0a758aaff7b2": {
"ai_languageModel": [
[
{
"node": "42f0f581-57a0-438d-b1a1-29a89e984554",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"6895d6b4-4ae4-4092-9302-33b1c69167d6": {
"main": [
[
{
"node": "df200d75-d932-4bb4-9e57-16a940963db3",
"type": "main",
"index": 0
}
]
]
},
"ffee99ec-ad6d-4ac9-b0ad-e466a18ad7de": {
"main": [
[
{
"node": "42f0f581-57a0-438d-b1a1-29a89e984554",
"type": "main",
"index": 0
}
]
]
},
"7eab55e1-e9e2-4750-a07d-f02941c7a8c6": {
"main": [
[
{
"node": "f789c4e0-813b-4f6d-9584-86a274fba969",
"type": "main",
"index": 0
}
]
]
},
"df200d75-d932-4bb4-9e57-16a940963db3": {
"main": [
[
{
"node": "5346229d-9386-497b-99c7-192e75896bf2",
"type": "main",
"index": 0
}
]
]
},
"5346229d-9386-497b-99c7-192e75896bf2": {
"main": [
[
{
"node": "ffee99ec-ad6d-4ac9-b0ad-e466a18ad7de",
"type": "main",
"index": 0
}
]
]
},
"f789c4e0-813b-4f6d-9584-86a274fba969": {
"main": [
[
{
"node": "309d2e7d-2da0-439b-b2ac-87196d9f5733",
"type": "main",
"index": 0
}
]
]
},
"b62a4e3a-c843-4ed2-9ee4-cbfb1a218259": {
"main": [
[
{
"node": "747fb13b-ee39-4dd7-8338-8db07e3b568e",
"type": "main",
"index": 0
}
]
]
}
}
}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.
관련 워크플로우 추천
AI, ElevenLabs, 다중 플랫폼을 사용하여 POV 비디오를 생성하고 승인
AI, ElevenLabs, 및 다중 플랫폼에서 POV 비디오를 생성하고 승인하기 (TikTok/IG/YT)
If
Set
Code
+
If
Set
Code
60 노드Immanuel
디자인
GPT-4를 사용한 LinkedIn 게시물 자동 생성 및 프로필/그룹에 배포
GPT-4로 LinkedIn 게시물 자동 생성 및 프로필, 그룹에 배포
If
Code
Limit
+
If
Code
Limit
14 노드Yaron Been
인공지능
GPT-4o, WordPress, LinkedIn을 사용한 RSS 콘텐츠 자동 블로그 게시
GPT-4o, WordPress 및 LinkedIn을 사용한 RSS 콘텐츠 블로그 게시물 자동 발행
If
Set
Code
+
If
Set
Code
40 노드Immanuel
인공지능
AI, ElevenLabs, PIAPI Shotstack/Creatomate를 사용하여 비디오 생성 및 YouTube에 업로드
AI, ElevenLabs, PIAPI Shotstack/Creatomate를 사용하여 비디오 생성 및 YouTube에 업로드
If
Set
Code
+
If
Set
Code
79 노드Immanuel
인공지능
AI와 Slack을 통해 LinkedIn 게시물 자동화
LinkedIn 게시물 자동화: AI (GPT-4o) 생성과 Slack 승인
If
Set
Code
+
If
Set
Code
32 노드Amit Mehta
인공지능
자동 블로그 프로모터 - 소셜 미디어 게시물 발행기
Instagram, Facebook 및 X 플랫폼용 GPT 기반 AI 구동 블로그 글 프로모터
If
Set
Code
+
If
Set
Code
44 노드LukaszB
인공지능
워크플로우 정보
난이도
고급
노드 수19
카테고리2
노드 유형12
저자
Yaron Been
@yaron-nofluffBuilding AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host
외부 링크
n8n.io에서 보기 →
이 워크플로우 공유