{ "workflow": { "id": 4459, "name": "AI YouTube analytics agent: Comment analyzer & insights reporter", "views": 10457, "recentViews": 2, "totalViews": 10457, "createdAt": "2025-05-28T14:26:13.676Z", "description": "**Transform YouTube comments into actionable insights with automated AI analysis and professional email reports.**\n\nThis intelligent workflow monitors your Google Sheets for YouTube video IDs, fetches comments using YouTube API, performs comprehensive AI sentiment analysis, and delivers formatted email reports with viewer insights - helping content creators understand their audience and improve engagement.\n\n## πŸš€ What It Does\n\n**Smart Video Monitoring**: Watches Google Sheets for new YouTube video IDs marked as \"Pending\" and triggers automated analysis\n\n**Complete Comment Collection**: Fetches up to 100 top comments per video using YouTube API with relevance-based ordering\n\n**AI-Powered Analysis**: Uses GPT-4 to analyze comments for sentiment, themes, questions, feedback, and actionable insights\n\n**Professional Email Reports**: Generates detailed HTML reports with statistics, sentiment breakdown, and improvement recommendations\n\n**Automated Status Tracking**: Updates spreadsheet status to prevent duplicate processing and maintain organized workflow\n\n## 🎯 Key Benefits\n\nβœ… **Deep Audience Insights**: Understand what viewers really think about your content \nβœ… **Save Hours of Manual Work**: Automated comment analysis vs reading hundreds of comments \nβœ… **Improve Content Strategy**: Get actionable feedback for better video performance \nβœ… **Track Sentiment Trends**: Monitor positive/negative feedback patterns \nβœ… **Professional Reporting**: Receive formatted analysis reports via email \nβœ… **Scalable Analysis**: Process multiple videos automatically \n\n## 🏒 Perfect For\n\n### **Content Creators & YouTubers**\n- Individual creators tracking audience engagement\n- Educational channels analyzing learning feedback\n- Entertainment creators understanding viewer preferences\n- Business channels monitoring brand sentiment\n\n### **Marketing & Business Applications**\n- **Brand Monitoring**: Track sentiment on branded content and partnerships\n- **Audience Research**: Understand viewer demographics and preferences \n- **Content Optimization**: Identify what resonates with your audience\n- **Competitor Analysis**: Analyze comments on competitor videos (where allowed)\n\n## βš™οΈ What's Included\n\n**Complete Analytics Workflow**: Ready-to-deploy YouTube comment analysis system\n**Google Sheets Integration**: Simple spreadsheet-based video management\n**YouTube API Integration**: Automated comment fetching with proper authentication\n**AI Analysis Engine**: GPT-4 powered sentiment and insight generation\n**Email Reporting System**: Professional HTML-formatted reports\n**Status Management**: Automatic processing tracking and duplicate prevention\n\n## πŸ”§ Setup Requirements\n\n- **n8n Platform**: Cloud or self-hosted instance\n- **YouTube API Credentials**: Google Cloud Console API access\n- **OpenAI API**: GPT-4 access for comment analysis\n- **Google Sheets**: Video ID management and status tracking\n- **Gmail Account**: For receiving analysis reports\n\n## πŸ“Š Required Google Sheets Structure\n\n```\n| ID | Video Title | YouTube Video ID | Status |\n|----|-------------|------------------|---------|\n| 1 | My Tutorial | dQw4w9WgXcQ | Pending |\n| 2 | Product Demo| abc123def456 | Mail Sent |\n| 3 | Weekly Vlog | xyz789uvw012 | Draft |\n```\n\n**Status Options**: Draft β†’ Pending β†’ Mail Sent\n\n## πŸ“§ Sample Analysis Report\n\n```\nπŸ“Ί YouTube Comments Analysis Report\nVideo: \"How to Build Your First Website\"\n\nπŸ“Š Quick Statistics:\nβ€’ Total Comments Analyzed: 87\nβ€’ Average Likes per Comment: 3.2\nβ€’ Total Replies: 156\nβ€’ Sentiment Summary: Positive: 65%, Negative: 10%, Neutral: 25%\n\n❓ Common Questions:\nβ€’ \"What hosting service do you recommend?\"\nβ€’ \"Can I do this without coding experience?\"\nβ€’ \"How much does domain registration cost?\"\n\nπŸ’‘ Key Feedback Points:\nβ€’ Tutorial pace is perfect for beginners\nβ€’ More examples of finished websites requested\nβ€’ Viewers want follow-up video on advanced features\n\n🎯 Actionable Insights:\nβ€’ Create hosting comparison video\nβ€’ Add timestamps for different skill levels\nβ€’ Consider beginner-friendly series expansion\n```\n\n## 🎨 Customization Options\n\n**Analysis Depth**: Adjust AI prompts for different analysis focuses (engagement, education, entertainment)\n**Comment Limits**: Modify maximum comments processed (default: 100, AI analysis: 50)\n**Report Recipients**: Send reports to multiple team members or clients\n**Custom Metrics**: Add specific analysis criteria for your content niche\n**Multi-Channel**: Process videos from multiple YouTube channels\n**Scheduling**: Set up regular analysis of your latest videos\n\n## 🏷️ Tags & Categories\n\n`#youtube-analytics` `#comment-analysis` `#content-creator-tools` `#ai-sentiment-analysis` `#video-insights` `#audience-research` `#youtube-api` `#content-optimization` `#social-media-analytics` `#creator-economy` `#video-marketing` `#engagement-analysis` `#content-strategy` `#ai-reporting` `#youtube-automation`\n\n## πŸ’‘ Use Case Examples\n\n**Educational Channel**: Analyze tutorial comments to identify confusing concepts and improve teaching methods\n**Product Reviews**: Monitor sentiment on review videos to understand customer satisfaction trends \n**Entertainment Creator**: Track audience reactions to different content formats and optimize future videos\n", "workflow": { "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": "Workflow Overview", "type": "n8n-nodes-base.stickyNote", "position": [ -640, 420 ], "parameters": { "color": 2, "width": 350, "height": 820, "content": "# πŸ“Š 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": "Trigger Documentation", "type": "n8n-nodes-base.stickyNote", "position": [ -260, 320 ], "parameters": { "color": 3, "width": 380, "height": 340, "content": "## πŸš€ 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 Section", "type": "n8n-nodes-base.stickyNote", "position": [ 560, 440 ], "parameters": { "width": 280, "height": 200, "content": "## πŸ“Ή 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 Analysis Documentation", "type": "n8n-nodes-base.stickyNote", "position": [ 1300, 420 ], "parameters": { "color": 5, "width": 320, "height": 250, "content": "## πŸ€– 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\nπŸ’‘ Customize the prompt in AI Agent node for different analysis needs" }, "typeVersion": 1 }, { "id": "85b58261-88e1-499a-a082-548713da293e", "name": "Email & Status Update", "type": "n8n-nodes-base.stickyNote", "position": [ 1820, 460 ], "parameters": { "color": 4, "width": 300, "height": 220, "content": "## πŸ“§ 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": "Data Processing Note", "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": "Limit", "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 Agent", "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 Chat Model", "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": "If", "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": "Set Video Details", "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": "Get Youtube Video Details", "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": "Get Youtube Video Comments", "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": "Prepare Comments Data", "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": "Prepare HTML for Email", "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 += \"
  • \"+rec.trim().replace(new RegExp(\".*,$\"), \"\")+\"
    • \"\n})\n\nlet key_feedback_points_and_suggestions = \"\";\n\noutput.key_feedback_points.map(rec => {\n return key_feedback_points_and_suggestions += \"
  • \"+rec.trim().replace(new RegExp(\".*,$\"), \"\")+\"
    • \"\n})\n\n\nlet actionable_insights_for_content_improvement = \"\"\n\noutput.actionable_insights.map(rec => {\n return actionable_insights_for_content_improvement += \"
  • \"+rec.trim().replace(new RegExp(\".*,$\"), \"\")+\"
    • \"\n})\n\n\n// return {common_question};\n\n\n \n\n//return output; \n// Generate the email HTML\nconst emailHTML = `\n\n\n\n \n\n\n
    \n

    YouTube Comments Analysis Report

    \n

    Video: ${$(\"Prepare Comments Data\").item.json.videoTitle}

    \n
    \n\n
    \n

    Quick Statistics

    \n \n
    \n\n
    \n

    Common Questions

    \n \n
    \n\n
    \n

    Key feedback points and suggestions

    \n \n
    \n\n\n
    \n

    Actionable insights for content improvement

    \n \n
    \n\n\n\n\n
    \n

    Report generated on ${new Date().toLocaleString()}

    \n \n
    \n\n`;\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 Account Configuration", "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": "Update Status on Google Sheet", "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": "Pick Video Ids from Google sheet", "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": { "If": { "main": [ [ { "node": "Limit", "type": "main", "index": 0 } ] ] }, "Limit": { "main": [ [ { "node": "Set Video Details", "type": "main", "index": 0 } ] ] }, "AI Agent": { "main": [ [ { "node": "Prepare HTML for Email", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Set Video Details": { "main": [ [ { "node": "Get Youtube Video Details", "type": "main", "index": 0 } ] ] }, "Prepare Comments Data": { "main": [ [ { "node": "AI Agent", "type": "main", "index": 0 } ] ] }, "Prepare HTML for Email": { "main": [ [ { "node": "Gmail Account Configuration", "type": "main", "index": 0 } ] ] }, "Get Youtube Video Details": { "main": [ [ { "node": "Get Youtube Video Comments", "type": "main", "index": 0 } ] ] }, "Get Youtube Video Comments": { "main": [ [ { "node": "Prepare Comments Data", "type": "main", "index": 0 } ] ] }, "Gmail Account Configuration": { "main": [ [ { "node": "Update Status on Google Sheet", "type": "main", "index": 0 } ] ] }, "Pick Video Ids from Google sheet": { "main": [ [ { "node": "If", "type": "main", "index": 0 } ] ] } } }, "lastUpdatedBy": 29, "workflowInfo": { "nodeCount": 19, "nodeTypes": { "n8n-nodes-base.if": { "count": 1 }, "n8n-nodes-base.set": { "count": 1 }, "n8n-nodes-base.code": { "count": 2 }, "n8n-nodes-base.gmail": { "count": 1 }, "n8n-nodes-base.limit": { "count": 1 }, "n8n-nodes-base.youTube": { "count": 1 }, "n8n-nodes-base.stickyNote": { "count": 7 }, "n8n-nodes-base.httpRequest": { "count": 1 }, "n8n-nodes-base.googleSheets": { "count": 1 }, "@n8n/n8n-nodes-langchain.agent": { "count": 1 }, "n8n-nodes-base.googleSheetsTrigger": { "count": 1 }, "@n8n/n8n-nodes-langchain.lmChatOpenAi": { "count": 1 } } }, "status": "published", "user": { "name": "Yaron Been", "username": "yaron-nofluff", "bio": "Building AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host\n\nIf you need any help with Automations, feel free to reach out via linkedin:\nhttps://www.linkedin.com/in/yaronbeen/\n\nAnd check out my Youtube channel:\nhttps://www.youtube.com/@YaronBeen/videos", "verified": true, "links": [ "https://www.nofluff.online/automation-services/" ], "avatar": "https://gravatar.com/avatar/a4e4dcaa1f76ff5266bbf80e8df86d22efda890474c68f7796e72fd82e3f2375?r=pg&d=retro&size=200" }, "nodes": [ { "id": 18, "icon": "file:googleSheets.svg", "name": "n8n-nodes-base.googleSheets", "codex": { "data": { "alias": [ "CSV", "Sheet", "Spreadsheet", "GS" ], "resources": { "generic": [ { "url": "https://n8n.io/blog/love-at-first-sight-ricardos-n8n-journey/", "icon": "❀️", "label": "Love at first sight: Ricardo’s n8n journey" }, { "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/", "icon": "🧬", "label": "Why business process automation with n8n can change your daily life" }, { "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/", "icon": "🧾", "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n" }, { "url": "https://n8n.io/blog/supercharging-your-conference-registration-process-with-n8n/", "icon": "🎫", "label": "Supercharging your conference registration process with n8n" }, { "url": "https://n8n.io/blog/creating-triggers-for-n8n-workflows-using-polling/", "icon": "⏲", "label": "Creating triggers for n8n workflows using polling" }, { "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/", "icon": "store", "label": "6 e-commerce workflows to power up your Shopify s" }, { "url": "https://n8n.io/blog/migrating-community-metrics-to-orbit-using-n8n/", "icon": "πŸ“ˆ", "label": "Migrating Community Metrics to Orbit using n8n" }, { "url": "https://n8n.io/blog/automate-google-apps-for-productivity/", "icon": "πŸ’‘", "label": "15 Google apps you can combine and automate to increase productivity" }, { "url": "https://n8n.io/blog/your-business-doesnt-need-you-to-operate/", "icon": " πŸ–₯️", "label": "Hey founders! 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