{ "workflow": { "id": 5947, "name": "Scrape event data from 10times with Bright Data MCP, AI & Google Sheets", "views": 897, "recentViews": 0, "totalViews": 897, "createdAt": "2025-07-13T18:58:26.123Z", "description": "*This workflow contains community nodes that are only compatible with the self-hosted version of n8n.*\n\nThis workflow automatically discovers and collects information about events and attendee data from event platforms. It saves you time by eliminating the need to manually browse through event listings and provides a centralized database of event information including categories, venues, and attendee feedback.\n\n## Overview\n\nThis workflow automatically scrapes event data from 10times.com and other event platforms to extract categories, featured events, attendee feedback, and venue information. It uses Bright Data to access event websites without being blocked and AI to intelligently parse event data into structured format for storage in Google Sheets.\n\n## Tools Used\n\n- **n8n**: The automation platform that orchestrates the workflow\n- **Bright Data**: For scraping event websites without being blocked\n- **OpenAI**: AI agent for intelligent event data extraction and parsing\n- **Google Sheets**: For storing and organizing event information\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 specify the target spreadsheet\n5. **Customize**: Adjust the event platform URLs and event criteria you want to monitor\n\n## Use Cases\n\n- **Event Planners**: Monitor competing events and industry trends\n- **Marketing Teams**: Identify events for sponsorship and networking opportunities\n- **Business Development**: Find relevant events for lead generation and partnerships\n- **Market Research**: Track event attendance patterns and industry insights\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 #events #eventdiscovery #brightdata #webscraping #eventplanning #eventscraping #attendeedata #eventmarketing #n8nworkflow #workflow #nocode #eventautomation #eventmonitoring #eventresearch #10times #eventintelligence #venuedata #eventfeedback #eventtracking #eventcalendar #eventanalytics #businessevents #eventorganizer #eventtech #eventindustry #eventcollection #networkingevents #conferencedata", "workflow": { "id": "FtzJlVWzcws353Gp", "meta": { "instanceId": "60046904b104f0f72b2629a9d88fe9f676be4035769f1f08dad1dd38a76b9480", "templateCredsSetupCompleted": true }, "name": "3. Event Attendee scraper", "tags": [], "nodes": [ { "id": "ebf3b7e1-727d-44f0-a198-4899fe5eeabd", "name": "πŸ•’ Schedule Scraper", "type": "n8n-nodes-base.scheduleTrigger", "position": [ 0, 0 ], "parameters": { "rule": { "interval": [ { "triggerAtHour": 9 } ] } }, "typeVersion": 1.2 }, { "id": "07cd890b-ac50-4c89-9082-3784efe19cc8", "name": "βš™οΈ Input URL & Params", "type": "n8n-nodes-base.set", "position": [ 220, 0 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "c1e742bf-8bd2-4d18-9a51-dac7cfaa51fd", "name": "url", "type": "string", "value": "https://10times.com" }, { "id": "107ffa9d-231b-4991-b362-415ec08505b7", "name": "format", "type": "string", "value": "scrape_as_markdown" } ] } }, "typeVersion": 3.4 }, { "id": "06a0519f-bb0b-4c81-af7e-a34b972fa54a", "name": "πŸ€– Bright Data AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 580, 0 ], "parameters": { "text": "=Scrape all category, featured_event, attendee_feedback and venue data using \"MCP Client to Scrape as markdown\" tool:\nurl: {{ $json.url }}", "options": {}, "promptType": "define", "hasOutputParser": true }, "typeVersion": 2 }, { "id": "d343e2d6-92b8-4a7d-b7d4-b5e83b67f8f4", "name": "🧠 Agent Memory Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 480, 320 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "43bfe724-c78f-4597-b9dd-ef7c3d25afa3", "name": "πŸ•·οΈ MCP Scraper: 10times", "type": "n8n-nodes-mcp.mcpClientTool", "position": [ 680, 320 ], "parameters": { "toolName": "scrape_as_markdown", "operation": "executeTool", "toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', ``, 'json') }}", "descriptionType": "manual", "toolDescription": "Scrape a single webpage URL with advanced options for content extraction and get back the results in markdown" }, "credentials": { "mcpClientApi": { "id": "credential-id", "name": "mcpClientApi Credential" } }, "typeVersion": 1 }, { "id": "1dab45f4-1080-40ce-8381-a83f48855715", "name": "πŸ“₯ Save to Google Sheets", "type": "n8n-nodes-base.googleSheets", "position": [ 1160, 0 ], "parameters": { "columns": { "value": { "vanues": "={{ $json.output.venues }}", "Categories": "={{ $json.output.categories }}", "Featured events": "={{ $json.output.featured_events }}", "Attendee feedback": "={{ $json.output.attendee_feedback }}" }, "schema": [ { "id": "Categories", "type": "string", "display": true, "required": false, "displayName": "Categories", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Featured events", "type": "string", "display": true, "required": false, "displayName": "Featured events", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Attendee feedback", "type": "string", "display": true, "required": false, "displayName": "Attendee feedback", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "vanues", "type": "string", "display": true, "required": false, "displayName": "vanues", "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/1D9wZsMdv0bUvlC5IRAEiFsRNaLGrHwdykJWKOMXOe60/edit#gid=0", "cachedResultName": "Sheet1" }, "documentId": { "__rl": true, "mode": "list", "value": "1D9wZsMdv0bUvlC5IRAEiFsRNaLGrHwdykJWKOMXOe60", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1D9wZsMdv0bUvlC5IRAEiFsRNaLGrHwdykJWKOMXOe60/edit?usp=drivesdk", "cachedResultName": "Attendies data" } }, "credentials": { "googleSheetsOAuth2Api": { "id": "credential-id", "name": "googleSheetsOAuth2Api Credential" } }, "typeVersion": 4.6 }, { "id": "858b205e-200f-4bac-aabe-dca745da17bd", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -40, -640 ], "parameters": { "color": 2, "width": 400, "height": 820, "content": "## 🟒 **SECTION 1: Trigger & Input Configuration**\n\n### πŸ” `πŸ•’ Schedule Scraper`\n\nThis is the **starting point** of the workflow. You can set it to run:\n\n* At specific intervals (e.g., daily, weekly)\n* Or manually (while testing)\n\n> πŸ“˜ *Benefit for beginners:* No coding needed! Just drag and set the schedule, and your workflow runs itself.\n\n---\n\n### ✏️ `βš™οΈ Input URL & Params`\n\nHere, you provide the **URL of the 10times event page** (like: `https://10times.com/ces/exhibitors`). You can customize or hardcode this value.\n\n> πŸ“˜ *Tip:* You can turn this into a form or connect it to a database to auto-feed event URLs.\n\n---\n\n" }, "typeVersion": 1 }, { "id": "80c31fa5-1838-40af-9416-5e1e1efdd4bf", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 500, -1500 ], "parameters": { "color": 3, "width": 400, "height": 1680, "content": "## πŸ€– **SECTION 2: Smart Scraping via AI Agent**\n\nThis is where the **heavy lifting** happens using Bright Data’s **Mobile Carrier Proxy (MCP)** and OpenAI’s logic to bypass website protections.\n\n---\n\n### 🧠 `πŸ€– Bright Data AI Agent`\n\nThis node coordinates scraping. It tells the agent exactly:\n\n* Which URL to open\n* What to extract (like attendees, venues, events)\n* How to format the response (in markdown or JSON)\n\n> ⚑ *Why it's powerful:* The AI Agent understands human-like prompts and adapts scraping automatically.\n\n---\n\n#### 🧠 `🧠 Agent Memory Model`\n\nHelps the Agent remember its instructions or carry session context (e.g., \"continue scrolling\", \"grab the next batch\").\n\n---\n\n#### 🌐 `πŸ•·οΈ MCP Scraper: 10times`\n\nThis is the **actual web scraper** running on **Bright Data’s mobile proxy** β€” which mimics a real mobile device to avoid bot detection. It loads JavaScript, scrolls pages, and handles dynamic content.\n\n> πŸ›‘οΈ *Biggest Advantage:* Can access pages that block most traditional scrapers!\n\n---\n\n#### πŸ“„ `🧾 Parse Attendee Data`\n\nUses the **Structured Output Parser** to turn messy scraped markdown into clean, structured JSON with fields like:\n\n* `categories`\n* `featured_events`\n* `attendee_feedback`\n* `venues`\n\n> 🧩 *Tip:* This is the secret to clean automation β€” parsed data can now be reused, filtered, or enriched!\n\n---\n\n" }, "typeVersion": 1 }, { "id": "4b32365f-d9ea-4043-8901-9e882357b892", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 1020, -520 ], "parameters": { "color": 5, "width": 400, "height": 700, "content": "## πŸ“Š **SECTION 3: Save & Reuse the Leads**\n\n### πŸ“₯ `πŸ“₯ Save to Google Sheets`\n\nThis node stores each piece of parsed data (e.g., 1 attendee feedback per row) into your connected **Google Sheets** document.\n\n* Each row is tagged with a `type` (like `category`, `venue`, etc.)\n* You can filter, analyze, or export this for marketing, research, outreach, etc.\n\n> πŸ’Ό *Business Use:* Build a database of trending events, track where competitors exhibit, or generate cold outreach leads.\n\n---\n\n" }, "typeVersion": 1 }, { "id": "aa026e7b-1731-435d-b21f-3bcf150270ca", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ -2100, -640 ], "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": "029770da-da09-432a-b085-434b9d7a0660", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -2100, -300 ], "parameters": { "color": 4, "width": 1289, "height": 2398, "content": "## πŸš€ **Workflow Title: 10times Event Intelligence Scraper**\n\n> This no-code automation scrapes attendee data from [10times.com](https://10times.com), parses it into structured information (like categories, events, and feedback), and logs it into Google Sheets for lead generation or event research.\n\n---\n\n## 🟒 **SECTION 1: Trigger & Input Configuration**\n\n### πŸ” `πŸ•’ Schedule Scraper`\n\nThis is the **starting point** of the workflow. You can set it to run:\n\n* At specific intervals (e.g., daily, weekly)\n* Or manually (while testing)\n\n> πŸ“˜ *Benefit for beginners:* No coding needed! Just drag and set the schedule, and your workflow runs itself.\n\n---\n\n### ✏️ `βš™οΈ Input URL & Params`\n\nHere, you provide the **URL of the 10times event page** (like: `https://10times.com/ces/exhibitors`). You can customize or hardcode this value.\n\n> πŸ“˜ *Tip:* You can turn this into a form or connect it to a database to auto-feed event URLs.\n\n---\n\n## πŸ€– **SECTION 2: Smart Scraping via AI Agent**\n\nThis is where the **heavy lifting** happens using Bright Data’s **Mobile Carrier Proxy (MCP)** and OpenAI’s logic to bypass website protections.\n\n---\n\n### 🧠 `πŸ€– Bright Data AI Agent`\n\nThis node coordinates scraping. It tells the agent exactly:\n\n* Which URL to open\n* What to extract (like attendees, venues, events)\n* How to format the response (in markdown or JSON)\n\n> ⚑ *Why it's powerful:* The AI Agent understands human-like prompts and adapts scraping automatically.\n\n---\n\n#### 🧠 `🧠 Agent Memory Model`\n\nHelps the Agent remember its instructions or carry session context (e.g., \"continue scrolling\", \"grab the next batch\").\n\n---\n\n#### 🌐 `πŸ•·οΈ MCP Scraper: 10times`\n\nThis is the **actual web scraper** running on **Bright Data’s mobile proxy** β€” which mimics a real mobile device to avoid bot detection. It loads JavaScript, scrolls pages, and handles dynamic content.\n\n> πŸ›‘οΈ *Biggest Advantage:* Can access pages that block most traditional scrapers!\n\n---\n\n#### πŸ“„ `🧾 Parse Attendee Data`\n\nUses the **Structured Output Parser** to turn messy scraped markdown into clean, structured JSON with fields like:\n\n* `categories`\n* `featured_events`\n* `attendee_feedback`\n* `venues`\n\n> 🧩 *Tip:* This is the secret to clean automation β€” parsed data can now be reused, filtered, or enriched!\n\n---\n\n## πŸ“Š **SECTION 3: Save & Reuse the Leads**\n\n### πŸ“₯ `πŸ“₯ Save to Google Sheets`\n\nThis node stores each piece of parsed data (e.g., 1 attendee feedback per row) into your connected **Google Sheets** document.\n\n* Each row is tagged with a `type` (like `category`, `venue`, etc.)\n* You can filter, analyze, or export this for marketing, research, outreach, etc.\n\n> πŸ’Ό *Business Use:* Build a database of trending events, track where competitors exhibit, or generate cold outreach leads.\n\n---\n\n## βœ… Summary for Beginners\n\n| 🧩 Feature | πŸ’‘ Purpose | πŸ‘Ά Beginner Tip |\n| --------------- | ---------------------------------------------------------- | -------------------------------------------------- |\n| Trigger & Input | Decide **when and what** to scrape | No code needed β€” just set your event URL |\n| AI Agent & MCP | Use **AI-powered scraper** to get around anti-bot barriers | Agent uses natural language, no selector headaches |\n| Parser | Clean your data into usable format | Plug-and-play output with titles, dates, users |\n| Google Sheets | **Save your leads** for marketing or research | Auto-fills your spreadsheet β€” no copy-paste needed |\n\n---\n\n" }, "typeVersion": 1 }, { "id": "0cd21ab6-0482-4948-a601-3bf2cc3b8264", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 1540, -520 ], "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": "de5252a5-bc2b-4014-bb53-2891dd5d58af", "name": "Auto-fixing Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing", "position": [ 820, 320 ], "parameters": { "options": {} }, "typeVersion": 1 }, { "id": "4c8802f0-0dfd-4452-b413-b4b049820cef", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 780, 560 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "35f9f084-8513-4170-bf77-bf28efb732a1", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 960, 540 ], "parameters": { "jsonSchemaExample": "{\n \"categories\": [\n \"Education & Training\",\n \"Medical & Pharma\",\n \"IT & Technology\",\n \"Banking & Finance\",\n \"Business Services\",\n \"Entertainment & Media\",\n \"Industrial Engineering\"\n ],\n \"featured_events\": [\n {\n \"name\": \"Texworld New York City\",\n \"date\": \"Wed, 23 - Fri, 25 Jul 2025\",\n \"location\": \"New York, USA\"\n },\n {\n \"name\": \"Home Textiles Sourcing Expo\",\n \"date\": \"Wed, 23 - Fri, 25 Jul 2025\",\n \"location\": \"New York, USA\"\n },\n {\n \"name\": \"Texworld Los Angeles\",\n \"date\": \"Tue, 29 - Thu, 31 Jul 2025\",\n \"location\": \"Los Angeles, USA\"\n }\n ],\n \"attendee_feedback\": [\n {\n \"event\": \"Restaurants Canada Show\",\n \"comment\": \"Great preparations\",\n \"user\": \"MARIAH NDAGIRE\",\n \"country\": \"Canada\"\n },\n {\n \"event\": \"WoodEX for Africa\",\n \"comment\": \"Great event, well organised...\",\n \"user\": \"Kgometji Thosago\",\n \"country\": \"South Africa\"\n },\n {\n \"event\": \"International Hardware Fair Saudi Arabia\",\n \"comment\": \"Well organised and clean setup...\",\n \"user\": \"Taha Khan\",\n \"country\": \"Saudi Arabia\"\n },\n {\n \"event\": \"World Environment Expo\",\n \"comment\": \"Very nice exhibition with lots of new information...\",\n \"user\": \"Chauhansir\",\n \"country\": \"India\"\n },\n {\n \"event\": \"IGC Grains Conference\",\n \"comment\": \"Learnt a lot...\",\n \"user\": \"AbdulFatai Suleiman\",\n \"country\": \"Nigeria\"\n }\n ],\n \"venues\": [\n {\n \"name\": \"Jio World Convention Centre\",\n \"city\": \"Mumbai\",\n \"country\": \"India\",\n \"total_events\": 204\n },\n {\n \"name\": \"ExCeL London\",\n \"city\": \"London\",\n \"country\": \"United Kingdom\",\n \"total_events\": 815\n },\n {\n \"name\": \"Melbourne Convention and Exhibition Centre\",\n \"city\": \"Melbourne\",\n \"country\": \"Australia\",\n \"total_events\": 1028\n }\n ]\n}\n" }, "typeVersion": 1.2 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "34c237ed-c5b5-460e-a596-42bf236c5422", "connections": { "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Auto-fixing Output Parser", "type": "ai_languageModel", "index": 0 } ] ] }, "πŸ•’ Schedule Scraper": { "main": [ [ { "node": "βš™οΈ Input URL & Params", "type": "main", "index": 0 } ] ] }, "🧠 Agent Memory Model": { "ai_languageModel": [ [ { "node": "πŸ€– Bright Data AI Agent", "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": "πŸ€– Bright Data AI Agent", "type": "ai_outputParser", "index": 0 } ] ] }, "βš™οΈ Input URL & Params": { "main": [ [ { "node": "πŸ€– Bright Data AI Agent", "type": "main", "index": 0 } ] ] }, "πŸ€– Bright Data AI Agent": { "main": [ [ { "node": "πŸ“₯ Save to Google Sheets", "type": "main", "index": 0 } ] ] }, "πŸ•·οΈ MCP Scraper: 10times": { "ai_tool": [ [ { "node": "πŸ€– Bright Data AI Agent", "type": "ai_tool", "index": 0 } ] ] } } }, "lastUpdatedBy": 62, "workflowInfo": { "nodeCount": 15, "nodeTypes": { "n8n-nodes-base.set": { "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! Your business doesn't need you to operate" }, { "url": "https://n8n.io/blog/how-honest-burgers-use-automation-to-save-100k-per-year/", "icon": "πŸ”", "label": "How Honest Burgers Use Automation to Save $100k per year" }, { "url": "https://n8n.io/blog/how-a-digital-strategist-uses-n8n-for-online-marketing/", "icon": "πŸ’»", "label": "How a digital strategist uses n8n for online marketing" }, { "url": "https://n8n.io/blog/why-this-product-manager-loves-workflow-automation-with-n8n/", "icon": "🧠", "label": "Why this Product Manager loves workflow automation with n8n" }, { "url": "https://n8n.io/blog/sending-automated-congratulations-with-google-sheets-twilio-and-n8n/", "icon": "πŸ™Œ", "label": "Sending Automated Congratulations with Google Sheets, Twilio, and n8n " }, { "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/", "icon": "πŸ“ˆ", "label": "How a Membership Development Manager automates his work and investments" }, { "url": "https://n8n.io/blog/aws-workflow-automation/", "label": "7 no-code workflow automations for Amazon Web Services" } ], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets/" } ], "credentialDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/" } ] }, "categories": [ "Data & Storage", "Productivity" ], "nodeVersion": "1.0", "codexVersion": "1.0" } }, "group": "[\"input\",\"output\"]", "defaults": { "name": "Google Sheets" }, "iconData": { "type": "file", "fileBuffer": "data:image/svg+xml;base64,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" }, "displayName": "Google Sheets", "typeVersion": 5, "nodeCategories": [ { "id": 3, "name": "Data & Storage" }, { "id": 4, "name": "Productivity" } ] }, { "id": 38, "icon": "fa:pen", "name": "n8n-nodes-base.set", "codex": { "data": { "alias": [ "Set", "JS", "JSON", "Filter", "Transform", "Map" ], "resources": { "generic": [ { "url": "https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/", "icon": "🏭", "label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide" }, { "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/", "icon": "β˜€οΈ", "label": "2021: The Year to Automate the New You with n8n" }, { "url": "https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/", "icon": "πŸ“ˆ", "label": "Automatically pulling and visualizing data with n8n" }, { "url": "https://n8n.io/blog/database-monitoring-and-alerting-with-n8n/", "icon": "πŸ“‘", "label": "Database Monitoring and Alerting with n8n" }, { "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/no-code-ecommerce-workflow-automations/", "icon": "store", "label": "6 e-commerce workflows to power up your Shopify s" }, { "url": "https://n8n.io/blog/how-to-build-a-low-code-self-hosted-url-shortener/", "icon": "πŸ”—", "label": "How to build a low-code, self-hosted URL shortener in 3 steps" }, { "url": "https://n8n.io/blog/automate-your-data-processing-pipeline-in-9-steps-with-n8n/", "icon": "βš™οΈ", "label": "Automate your data processing pipeline in 9 steps" }, { "url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/", "icon": "πŸ‘₯", "label": "How to get started with CRM automation (with 3 no-code workflow ideas" }, { "url": "https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/", "icon": "⚑️", "label": "5 tasks you can automate with the new Notion API " }, { "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/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/", "icon": " πŸ•ΈοΈ", "label": "How uProc scraped a multi-page website with a low-code workflow" }, { "url": "https://n8n.io/blog/building-an-expense-tracking-app-in-10-minutes/", "icon": "πŸ“±", "label": "Building an expense tracking app in 10 minutes" }, { "url": "https://n8n.io/blog/the-ultimate-guide-to-automate-your-video-collaboration-with-whereby-mattermost-and-n8n/", "icon": "πŸ“Ή", "label": "The ultimate guide to automate your video collaboration with Whereby, Mattermost, and n8n" }, { "url": "https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/", "icon": "πŸ€–", "label": "5 workflow automations for Mattermost that we love at n8n" }, { "url": "https://n8n.io/blog/learn-to-build-powerful-api-endpoints-using-webhooks/", "icon": "🧰", "label": "Learn to Build Powerful API Endpoints Using Webhooks" }, { "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/", "icon": "πŸ“ˆ", "label": "How a Membership Development Manager automates his work and investments" }, { "url": "https://n8n.io/blog/a-low-code-bitcoin-ticker-built-with-questdb-and-n8n-io/", "icon": "πŸ“ˆ", "label": "A low-code bitcoin ticker built with QuestDB and n8n.io" }, { "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/", "icon": "🎑", "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI" }, { "url": "https://n8n.io/blog/benefits-of-automation-and-n8n-an-interview-with-hubspots-hugh-durkin/", "icon": "πŸŽ–", "label": "Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin" }, { "url": "https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/", "icon": "πŸ›΅", "label": "How Goomer automated their operations with over 200 n8n workflows" }, { "url": "https://n8n.io/blog/aws-workflow-automation/", "label": "7 no-code workflow automations for Amazon Web Services" } ], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.set/" } ] }, "categories": [ "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Data Transformation" ] } } }, "group": "[\"input\"]", "defaults": { "name": "Edit Fields" }, "iconData": { "icon": "pen", "type": "icon" }, "displayName": "Edit Fields (Set)", "typeVersion": 3, "nodeCategories": [ { "id": 9, "name": "Core Nodes" } ] }, { "id": 565, "icon": "fa:sticky-note", "name": "n8n-nodes-base.stickyNote", "codex": { "data": { "alias": [ "Comments", "Notes", "Sticky" ], "categories": [ "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Helpers" ] } } }, "group": "[\"input\"]", "defaults": { "name": "Sticky Note", "color": "#FFD233" }, "iconData": { "icon": "sticky-note", "type": "icon" }, "displayName": "Sticky Note", "typeVersion": 1, "nodeCategories": [ { "id": 9, "name": "Core Nodes" } ] }, { "id": 839, "icon": "fa:clock", "name": "n8n-nodes-base.scheduleTrigger", "codex": { "data": { "alias": [ "Time", "Scheduler", "Polling", "Cron", "Interval" ], "resources": { "generic": [], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/" } ] }, "categories": [ "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0" } }, "group": "[\"trigger\",\"schedule\"]", "defaults": { "name": "Schedule Trigger", "color": "#31C49F" }, "iconData": { "icon": "clock", "type": "icon" }, "displayName": "Schedule Trigger", "typeVersion": 1, "nodeCategories": [ { "id": 9, "name": "Core Nodes" } ] }, { "id": 1119, "icon": "fa:robot", "name": "@n8n/n8n-nodes-langchain.agent", "codex": { "data": { "alias": [ "LangChain", "Chat", "Conversational", "Plan and Execute", "ReAct", "Tools" ], "resources": { "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/" } ] }, "categories": [ "AI", "Langchain" ], "subcategories": { "AI": [ "Agents", "Root Nodes" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "AI Agent", "color": "#404040" }, "iconData": { "icon": "robot", "type": "icon" }, "displayName": "AI Agent", "typeVersion": 3, "nodeCategories": [ { "id": 25, "name": "AI" }, { "id": 26, "name": "Langchain" } ] }, { "id": 1153, "icon": "file:openAiLight.svg", "name": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "codex": { "data": { "resources": { "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/" } ] }, "categories": [ "AI", "Langchain" ], "subcategories": { "AI": [ "Language Models", "Root Nodes" ], "Language Models": [ "Chat Models (Recommended)" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "OpenAI Chat Model" }, "iconData": { "type": "file", "fileBuffer": "data:image/svg+xml;base64,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" }, "displayName": "OpenAI Chat Model", "typeVersion": 1, "nodeCategories": [ { "id": 25, "name": "AI" }, { "id": 26, "name": "Langchain" } ] }, { "id": 1175, "icon": "fa:tools", "name": "@n8n/n8n-nodes-langchain.outputParserAutofixing", "codex": { "data": { "resources": { "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.outputparserautofixing/" } ] }, "categories": [ "AI", "Langchain" ], "subcategories": { "AI": [ "Output Parsers" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "Auto-fixing Output Parser" }, "iconData": { "icon": "tools", "type": "icon" }, "displayName": "Auto-fixing Output Parser", "typeVersion": 1, "nodeCategories": [ { "id": 25, "name": "AI" }, { "id": 26, "name": "Langchain" } ] }, { "id": 1179, "icon": "fa:code", "name": "@n8n/n8n-nodes-langchain.outputParserStructured", "codex": { "data": { "alias": [ "json", "zod" ], "resources": { "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.outputparserstructured/" } ] }, "categories": [ "AI", "Langchain" ], "subcategories": { "AI": [ "Output Parsers" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "Structured Output Parser" }, "iconData": { "icon": "code", "type": "icon" }, "displayName": "Structured Output Parser", "typeVersion": 1, "nodeCategories": [ { "id": 25, "name": "AI" }, { "id": 26, "name": "Langchain" } ] } ], "categories": [ { "id": 32, "name": "Market Research" }, { "id": 49, "name": "AI Summarization" } ], "image": [] } }