{ "workflow": { "id": 5967, "name": "Track customer NPS scores across platforms with Bright Data and OpenAI", "views": 383, "recentViews": 0, "totalViews": 383, "createdAt": "2025-07-13T19:02:23.632Z", "description": "*This workflow contains community nodes that are only compatible with the self-hosted version of n8n.*\n\nThis workflow automatically tracks customer satisfaction scores across multiple platforms and surveys to help improve customer experience and identify areas for enhancement. It saves you time by eliminating the need to manually check different feedback sources and provides comprehensive satisfaction analytics.\n\n## Overview\n\nThis workflow automatically scrapes customer satisfaction surveys, review platforms, and feedback forms to extract satisfaction scores and sentiment data. It uses Bright Data to access various feedback platforms without being blocked and AI to intelligently analyze satisfaction trends and identify improvement opportunities.\n\n## Tools Used\n\n- **n8n**: The automation platform that orchestrates the workflow\n- **Bright Data**: For scraping satisfaction surveys and review platforms without being blocked\n- **OpenAI**: AI agent for intelligent satisfaction analysis and trend identification\n- **Google Sheets**: For storing satisfaction scores and generating analytics reports\n\n## How to Install\n\n1. **Import the Workflow**: Download the .json file and import it into your n8n instance\n2. **Configure Bright Data**: Add your Bright Data credentials to the MCP Client node\n3. **Set Up OpenAI**: Configure your OpenAI API credentials\n4. **Configure Google Sheets**: Connect your Google Sheets account and set up your satisfaction tracking spreadsheet\n5. **Customize**: Define feedback sources and satisfaction metrics you want to monitor\n\n## Use Cases\n\n- **Customer Experience**: Monitor satisfaction trends across all customer touchpoints\n- **Product Teams**: Identify product features that impact customer satisfaction\n- **Support Teams**: Track satisfaction scores for support interactions\n- **Management**: Get comprehensive satisfaction reporting for strategic decisions\n\n## Connect with Me\n\n- **Website**: https://www.nofluff.online\n- **YouTube**: https://www.youtube.com/@YaronBeen/videos\n- **LinkedIn**: https://www.linkedin.com/in/yaronbeen/\n- **Get Bright Data**: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission)\n\n#n8n #automation #customersatisfaction #satisfactionscores #brightdata #webscraping #customerexperience #n8nworkflow #workflow #nocode #satisfactiontracking #csat #nps #customeranalytics #feedbackanalysis #customerinsights #satisfactionmonitoring #experiencemanagement #customermetrics #satisfactionsurveys #feedbackautomation #customerfeedback #satisfactiondata #customerjourney #experienceanalytics #satisfactionreporting #customersentiment #experienceoptimization #satisfactiontrends #customervoice", "workflow": { "id": "wRFk4MmXtL2en4zX", "meta": { "instanceId": "60046904b104f0f72b2629a9d88fe9f676be4035769f1f08dad1dd38a76b9480", "templateCredsSetupCompleted": true }, "name": "24 Track Satisfaction Scores", "tags": [], "nodes": [ { "id": "5418cb29-421a-4087-9206-af79d036fd7f", "name": "⏰ Run Weekly NPS Tracker", "type": "n8n-nodes-base.scheduleTrigger", "position": [ 0, 0 ], "parameters": { "rule": { "interval": [ { "field": "weeks", "triggerAtDay": [ 1 ], "triggerAtHour": 9 } ] } }, "typeVersion": 1.2 }, { "id": "aed37f9d-27db-4123-9f05-01bb5164f7d3", "name": "✏️ Set Survey Page URL", "type": "n8n-nodes-base.set", "position": [ 200, 0 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "96319b57-b99b-460e-ae2c-9927de713274", "name": "url", "type": "string", "value": "https://www.trustpilot.com/review/shopify.com" } ] } }, "typeVersion": 3.4 }, { "id": "eb159575-b6d9-49ef-af47-05f7dac4d818", "name": "🧠 Scrape Reviews with Agent (MCP)", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 440, 0 ], "parameters": { "text": "=Extract Customer reviews, Star ratings (1 to 5 stars), Comments (optional for deeper insight) and Date of review from the following url\n\nURL: {{ $json.url }}", "options": {}, "promptType": "define", "hasOutputParser": true }, "typeVersion": 2 }, { "id": "ba4c9999-6ff5-4cb8-a882-5adfe19ca5a0", "name": "πŸ“Š Calculate NPS from Ratings", "type": "n8n-nodes-base.code", "position": [ 920, 0 ], "parameters": { "jsCode": "const reviews = items[0].json.output; // The agent output you provided\nlet promoters = 0;\nlet passives = 0;\nlet detractors = 0;\n\nfor (const review of reviews) {\n const starRating = review.rating;\n\n // Convert 1–5 stars to 0–10 scale\n const score = starRating * 2;\n\n // Categorize into NPS groups\n if (score >= 9) {\n promoters += 1;\n } else if (score >= 7) {\n passives += 1;\n } else {\n detractors += 1;\n }\n}\n\n// NPS Calculation\nconst total = promoters + passives + detractors;\nconst nps = total > 0 ? ((promoters - detractors) / total) * 100 : 0;\n\nreturn [\n {\n json: {\n totalResponses: total,\n promoters,\n passives,\n detractors,\n nps: Math.round(nps),\n message: `NPS Score is ${Math.round(nps)} based on ${total} responses.`\n }\n }\n];\n" }, "typeVersion": 2 }, { "id": "533563dd-4258-4e18-bd94-ecbfead0416f", "name": "πŸ“„ Log NPS to Google Sheet", "type": "n8n-nodes-base.googleSheets", "position": [ 1100, 0 ], "parameters": { "columns": { "value": { "NPS": "={{ $json.nps }}", "Passive": "={{ $json.passives }}", "summary": "={{ $json.message }}", "Detractor": "={{ $json.detractors }}", "Promoters": "={{ $json.promoters }}", "Total Responses": "={{ $json.totalResponses }}" }, "schema": [ { "id": "Total Responses", "type": "string", "display": true, "required": false, "displayName": "Total Responses", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Promoters", "type": "string", "display": true, "required": false, "displayName": "Promoters", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Passive", "type": "string", "display": true, "required": false, "displayName": "Passive", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Detractor", "type": "string", "display": true, "required": false, "displayName": "Detractor", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "NPS", "type": "string", "display": true, "required": false, "displayName": "NPS", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "summary", "type": "string", "display": true, "required": false, "displayName": "summary", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "append", "sheetName": { "__rl": true, "mode": "list", "value": "gid=0", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1SuIKadXmZ-vUga75VsTMK7CgURsXn6KYh7j5_eM6m7k/edit#gid=0", "cachedResultName": "Sheet1" }, "documentId": { "__rl": true, "mode": "list", "value": "1SuIKadXmZ-vUga75VsTMK7CgURsXn6KYh7j5_eM6m7k", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1SuIKadXmZ-vUga75VsTMK7CgURsXn6KYh7j5_eM6m7k/edit?usp=drivesdk", "cachedResultName": "NPS Score" } }, "credentials": { "googleSheetsOAuth2Api": { "id": "credential-id", "name": "googleSheetsOAuth2Api Credential" } }, "typeVersion": 4.6 }, { "id": "19e2572a-9823-4520-9de5-abb3bac64d85", "name": "🎯 Prompt & Guide Agent", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 400, 260 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "101f8b62-352e-4e28-b5ef-da401e626750", "name": "🌐 Execute Web Scrape (Bright Data)", "type": "n8n-nodes-mcp.mcpClientTool", "position": [ 580, 260 ], "parameters": { "toolName": "scrape_as_markdown", "operation": "executeTool", "toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', ``, 'json') }}" }, "credentials": { "mcpClientApi": { "id": "credential-id", "name": "mcpClientApi Credential" } }, "typeVersion": 1 }, { "id": "ac4346c1-57fa-402e-ab9f-2a94ca5125e5", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -20, -840 ], "parameters": { "color": 5, "width": 360, "height": 1020, "content": "## πŸ”Ά **Section 1: Set the Target Survey Page**\n\n### 🧩 Nodes:\n\n* `⏰ Run Weekly NPS Tracker` *(Schedule Trigger)*\n* `✏️ Set Survey Page URL` *(Edit Fields)*\n\n### πŸ“ What This Does:\n\nThis section controls **when** and **where** to begin.\n\n* The **Schedule Trigger** node is set to run automatically β€” for example, **every Monday at 10 AM** β€” to check the latest customer satisfaction reviews from a specific website like Trustpilot.\n* The **Edit Fields** node allows you to define or update the **target survey/review page URL** (e.g., Shopify’s Trustpilot page). You can also set any other optional config like number of reviews, date range, etc.\n\n### 🧠 Why It Matters:\n\n* Allows **automation** instead of manual monitoring.\n* Keeps your system flexible β€” you can easily change the source URL without editing the rest of the workflow.\n\n---\n\n" }, "typeVersion": 1 }, { "id": "3d7ce000-5de1-4c4f-a15b-f10fc1f68010", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 400, -1100 ], "parameters": { "color": 3, "width": 340, "height": 1280, "content": "## πŸ€– **Section 2: Scrape Reviews Using AI Agent**\n\n### 🧩 Nodes:\n\n* `🧠 Scrape Reviews with Agent (MCP)` *(AI Agent)*\n\n * πŸ”Œ `🎯 Prompt & Guide Agent` *(OpenAI Chat Model)*\n * 🌐 `Execute Web Scrape (Bright Data)` *(MCP Client)*\n * πŸ“¦ `Parse Agent Response` *(Structured Output Parser)*\n\n### πŸ“ What This Does:\n\nThis is where the **magic** happens β€” using AI + Bright Data to fetch live reviews.\n\n* The **AI Agent** launches a **headless browser** via Bright Data's Mobile Carrier Proxy (MCP), mimicking a real user to visit the review site.\n* It’s guided by an OpenAI model that understands natural prompts, like:\n *β€œExtract customer ratings, comments, and dates from Trustpilot”.*\n* After scraping, the **Structured Output Parser** turns unstructured HTML into clean JSON data β€” a list of reviews like:\n\n ```json\n { \"rating\": 2, \"comment\": \"...\" }\n ```\n\n### 🧠 Why It Matters:\n\n* Many review sites use JavaScript β€” Bright Data MCP bypasses anti-bot detection.\n* No need to write complex scraping code β€” just describe what you want in plain English.\n* This is your **data foundation** β€” reliable, structured, fresh.\n\n---\n\n" }, "typeVersion": 1 }, { "id": "1c2c8d84-137a-490a-b178-67a831c94a40", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 880, -860 ], "parameters": { "color": 6, "width": 360, "height": 1040, "content": "## πŸ“ˆ **Section 3: Analyze & Log NPS Results**\n\n### 🧩 Nodes:\n\n* `πŸ“Š Calculate NPS from Ratings` *(Code Function)*\n* `πŸ“„ Log NPS to Google Sheet` *(Google Sheets)*\n\n### πŸ“ What This Does:\n\nThis is your **data analysis and reporting** layer.\n\n* The **Function node** receives the scraped review data, calculates **Net Promoter Score (NPS)** by:\n\n * Mapping 1–5 star reviews into a 0–10 scale.\n * Categorizing users as:\n\n * 😍 **Promoters** (9–10)\n * 😐 **Passives** (7–8)\n * 😠 **Detractors** (0–6)\n * Calculating:\n **NPS = (% Promoters βˆ’ % Detractors) Γ— 100**\n\n* The **Google Sheets node** appends this NPS result to a spreadsheet with columns like:\n\n ```\n Date | Total Responses | Promoters | Passives | Detractors | NPS Score\n ```\n\n\n" }, "typeVersion": 1 }, { "id": "2d67aa1b-4816-4177-b12f-fa317f183fb2", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ -1720, -840 ], "parameters": { "color": 4, "width": 1300, "height": 320, "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": "e28e886d-519d-4941-99cf-ee546cb28944", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -1720, -500 ], "parameters": { "color": 4, "width": 1289, "height": 2778, "content": "# πŸ“Š **Track Satisfaction Scores Workflow**\n\n### ✨ *Automatically scrape survey reviews, calculate Net Promoter Score (NPS), and log results to Google Sheets for leadership insights.*\n\n---\n\n## πŸ”Ά **Section 1: Set the Target Survey Page**\n\n### 🧩 Nodes:\n\n* `⏰ Run Weekly NPS Tracker` *(Schedule Trigger)*\n* `✏️ Set Survey Page URL` *(Edit Fields)*\n\n### πŸ“ What This Does:\n\nThis section controls **when** and **where** to begin.\n\n* The **Schedule Trigger** node is set to run automatically β€” for example, **every Monday at 10 AM** β€” to check the latest customer satisfaction reviews from a specific website like Trustpilot.\n* The **Edit Fields** node allows you to define or update the **target survey/review page URL** (e.g., Shopify’s Trustpilot page). You can also set any other optional config like number of reviews, date range, etc.\n\n### 🧠 Why It Matters:\n\n* Allows **automation** instead of manual monitoring.\n* Keeps your system flexible β€” you can easily change the source URL without editing the rest of the workflow.\n\n---\n\n## πŸ€– **Section 2: Scrape Reviews Using AI Agent**\n\n### 🧩 Nodes:\n\n* `🧠 Scrape Reviews with Agent (MCP)` *(AI Agent)*\n\n * πŸ”Œ `🎯 Prompt & Guide Agent` *(OpenAI Chat Model)*\n * 🌐 `Execute Web Scrape (Bright Data)` *(MCP Client)*\n * πŸ“¦ `Parse Agent Response` *(Structured Output Parser)*\n\n### πŸ“ What This Does:\n\nThis is where the **magic** happens β€” using AI + Bright Data to fetch live reviews.\n\n* The **AI Agent** launches a **headless browser** via Bright Data's Mobile Carrier Proxy (MCP), mimicking a real user to visit the review site.\n* It’s guided by an OpenAI model that understands natural prompts, like:\n *β€œExtract customer ratings, comments, and dates from Trustpilot”.*\n* After scraping, the **Structured Output Parser** turns unstructured HTML into clean JSON data β€” a list of reviews like:\n\n ```json\n { \"rating\": 2, \"comment\": \"...\" }\n ```\n\n### 🧠 Why It Matters:\n\n* Many review sites use JavaScript β€” Bright Data MCP bypasses anti-bot detection.\n* No need to write complex scraping code β€” just describe what you want in plain English.\n* This is your **data foundation** β€” reliable, structured, fresh.\n\n---\n\n## πŸ“ˆ **Section 3: Analyze & Log NPS Results**\n\n### 🧩 Nodes:\n\n* `πŸ“Š Calculate NPS from Ratings` *(Code Function)*\n* `πŸ“„ Log NPS to Google Sheet` *(Google Sheets)*\n\n### πŸ“ What This Does:\n\nThis is your **data analysis and reporting** layer.\n\n* The **Function node** receives the scraped review data, calculates **Net Promoter Score (NPS)** by:\n\n * Mapping 1–5 star reviews into a 0–10 scale.\n * Categorizing users as:\n\n * 😍 **Promoters** (9–10)\n * 😐 **Passives** (7–8)\n * 😠 **Detractors** (0–6)\n * Calculating:\n **NPS = (% Promoters βˆ’ % Detractors) Γ— 100**\n\n* The **Google Sheets node** appends this NPS result to a spreadsheet with columns like:\n\n ```\n Date | Total Responses | Promoters | Passives | Detractors | NPS Score\n ```\n\n### 🧠 Why It Matters:\n\n* Helps your leadership team **track trends** over time.\n* Spot dips in customer satisfaction before they turn into churn.\n* All automated β€” no spreadsheets, no manual scraping, just insights.\n\n---\n\n## 🌟 Final Output Example:\n\n| Date | Responses | Promoters | Detractors | NPS |\n| ---------- | --------- | --------- | ---------- | ---- |\n| 2025-07-06 | 4 | 0 | 4 | -100 |\n\nπŸ’‘ Imagine your manager getting this **every Monday morning** β€” it's like having a customer success analyst on autopilot!\n\n---\n\n## βœ… Takeaways for Beginners\n\n| πŸ”§ Feature | πŸ“Œ Benefit |\n| ---------- | ---------------------------------------------------------- |\n| No-code | You didn’t write a single scraper β€” just configured blocks |\n| Dynamic | URLs, prompts, and responses are editable |\n| Scalable | You can run this for 1 site or 100 with minor tweaks |\n| Actionable | Leadership gets real-time feedback in sheets or Slack |\n\n---\n\n" }, "typeVersion": 1 }, { "id": "9f4ab1c3-7645-41db-88de-a909f2dc3eb1", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 1340, -860 ], "parameters": { "color": 7, "width": 380, "height": 240, "content": "## I’ll receive a tiny commission if you join Bright Data through this linkβ€”thanks for fueling more free content!\n\n### https://get.brightdata.com/1tndi4600b25" }, "typeVersion": 1 }, { "id": "01b5ab5b-d3f3-4c26-8d27-7a360f51b91f", "name": "Auto-fixing Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing", "position": [ 720, 260 ], "parameters": { "options": {} }, "typeVersion": 1 }, { "id": "67963b9e-df9f-49c2-957b-b3c698bbfb7c", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 700, 480 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "00af00b9-e6c0-4106-ba81-cc60d52ce2d7", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 860, 480 ], "parameters": { "jsonSchemaExample": "[\n {\n \"rating\": 1,\n \"comment\": \"Avoid at all costs they don’t support businesses from fraud, they always side with customer chargebacks! And charge fees for nothing, your loss of stock, money, time, postage, and fees!\",\n \"date\": \"2 days ago\",\n \"user\": \"Monisha\"\n },\n {\n \"rating\": 2,\n \"comment\": \"Shopify is too big of a company to hold payments or not payout next day; with Shopify you will only get two deposits a week.\",\n \"date\": \"13 hours ago\",\n \"user\": \"Komplex Fitness\"\n },\n {\n \"rating\": 1,\n \"comment\": \"Shopify requires access to reading my email messages, cannot do anything without it.\",\n \"date\": \"2 days ago\",\n \"user\": \"Andre Tuseyev\"\n },\n {\n \"rating\": 1,\n \"comment\": \"Bought a pair of Hugo Italian design black leather trainers. Opened the package and my utter disappointment, they were not leather, they are certainly not Italian design.\",\n \"date\": \"6 days ago\",\n \"user\": \"ROGER EGERTON\"\n },\n {\n \"rating\": 3,\n \"comment\": \"Despite many negative reviews, we’ve been using Shopify for nearly 10 years.\",\n \"date\": \"6 days ago\",\n \"user\": \"Mandy\"\n },\n {\n \"rating\": 5,\n \"comment\": \"Great platform to manage my online store efficiently.\",\n \"date\": \"1 week ago\",\n \"user\": \"Sarah H.\"\n }\n]\n" }, "typeVersion": 1.2 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "e8e2c0a0-956b-4b35-96a3-882f6d618498", "connections": { "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Auto-fixing Output Parser", "type": "ai_languageModel", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "Auto-fixing Output Parser", "type": "ai_outputParser", "index": 0 } ] ] }, "Auto-fixing Output Parser": { "ai_outputParser": [ [ { "node": "🧠 Scrape Reviews with Agent (MCP)", "type": "ai_outputParser", "index": 0 } ] ] }, "🎯 Prompt & Guide Agent": { "ai_languageModel": [ [ { "node": "🧠 Scrape Reviews with Agent (MCP)", "type": "ai_languageModel", "index": 0 } ] ] }, "⏰ Run Weekly NPS Tracker": { "main": [ [ { "node": "✏️ Set Survey Page URL", "type": "main", "index": 0 } ] ] }, "✏️ Set Survey Page URL": { "main": [ [ { "node": "🧠 Scrape Reviews with Agent (MCP)", "type": "main", "index": 0 } ] ] }, "πŸ“Š Calculate NPS from Ratings": { "main": [ [ { "node": "πŸ“„ Log NPS to Google Sheet", "type": "main", "index": 0 } ] ] }, "🧠 Scrape Reviews with Agent (MCP)": { "main": [ [ { "node": "πŸ“Š Calculate NPS from Ratings", "type": "main", "index": 0 } ] ] }, "🌐 Execute Web Scrape (Bright Data)": { "ai_tool": [ [ { "node": "🧠 Scrape Reviews with Agent (MCP)", "type": "ai_tool", "index": 0 } ] ] } } }, "lastUpdatedBy": 62, "workflowInfo": { "nodeCount": 16, "nodeTypes": { "n8n-nodes-base.set": { "count": 1 }, "n8n-nodes-base.code": { "count": 1 }, "n8n-nodes-base.stickyNote": { "count": 6 }, "n8n-nodes-base.googleSheets": { "count": 1 }, "n8n-nodes-mcp.mcpClientTool": { "count": 1 }, "@n8n/n8n-nodes-langchain.agent": { "count": 1 }, "n8n-nodes-base.scheduleTrigger": { "count": 1 }, "@n8n/n8n-nodes-langchain.lmChatOpenAi": { "count": 2 }, "@n8n/n8n-nodes-langchain.outputParserAutofixing": { "count": 1 }, "@n8n/n8n-nodes-langchain.outputParserStructured": { "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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