{ "id": "FtzJlVWzcws353Gp", "meta": { "templateCredsSetupCompleted": true }, "name": "3. Event Attendee scraper", "tags": [], "nodes": [ { "id": "ebf3b7e1-727d-44f0-a198-4899fe5eeabd", "name": "\ud83d\udd52 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": "\u2699\ufe0f 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": "\ud83e\udd16 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": "\ud83e\udde0 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": { "name": "" } }, "typeVersion": 1.2 }, { "id": "43bfe724-c78f-4597-b9dd-ef7c3d25afa3", "name": "\ud83d\udd77\ufe0f 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": { "name": "" } }, "typeVersion": 1 }, { "id": "1dab45f4-1080-40ce-8381-a83f48855715", "name": "\ud83d\udce5 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": { "name": "" } }, "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": "## \ud83d\udfe2 **SECTION 1: Trigger & Input Configuration**\n\n### \ud83d\udd01 `\ud83d\udd52 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> \ud83d\udcd8 *Benefit for beginners:* No coding needed! Just drag and set the schedule, and your workflow runs itself.\n\n---\n\n### \u270f\ufe0f `\u2699\ufe0f 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> \ud83d\udcd8 *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": "## \ud83e\udd16 **SECTION 2: Smart Scraping via AI Agent**\n\nThis is where the **heavy lifting** happens using Bright Data\u2019s **Mobile Carrier Proxy (MCP)** and OpenAI\u2019s logic to bypass website protections.\n\n---\n\n### \ud83e\udde0 `\ud83e\udd16 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> \u26a1 *Why it's powerful:* The AI Agent understands human-like prompts and adapts scraping automatically.\n\n---\n\n#### \ud83e\udde0 `\ud83e\udde0 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#### \ud83c\udf10 `\ud83d\udd77\ufe0f MCP Scraper: 10times`\n\nThis is the **actual web scraper** running on **Bright Data\u2019s mobile proxy** \u2014 which mimics a real mobile device to avoid bot detection. It loads JavaScript, scrolls pages, and handles dynamic content.\n\n> \ud83d\udee1\ufe0f *Biggest Advantage:* Can access pages that block most traditional scrapers!\n\n---\n\n#### \ud83d\udcc4 `\ud83e\uddfe 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> \ud83e\udde9 *Tip:* This is the secret to clean automation \u2014 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": "## \ud83d\udcca **SECTION 3: Save & Reuse the Leads**\n\n### \ud83d\udce5 `\ud83d\udce5 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> \ud83d\udcbc *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": "## \ud83d\ude80 **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## \ud83d\udfe2 **SECTION 1: Trigger & Input Configuration**\n\n### \ud83d\udd01 `\ud83d\udd52 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> \ud83d\udcd8 *Benefit for beginners:* No coding needed! Just drag and set the schedule, and your workflow runs itself.\n\n---\n\n### \u270f\ufe0f `\u2699\ufe0f 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> \ud83d\udcd8 *Tip:* You can turn this into a form or connect it to a database to auto-feed event URLs.\n\n---\n\n## \ud83e\udd16 **SECTION 2: Smart Scraping via AI Agent**\n\nThis is where the **heavy lifting** happens using Bright Data\u2019s **Mobile Carrier Proxy (MCP)** and OpenAI\u2019s logic to bypass website protections.\n\n---\n\n### \ud83e\udde0 `\ud83e\udd16 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> \u26a1 *Why it's powerful:* The AI Agent understands human-like prompts and adapts scraping automatically.\n\n---\n\n#### \ud83e\udde0 `\ud83e\udde0 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#### \ud83c\udf10 `\ud83d\udd77\ufe0f MCP Scraper: 10times`\n\nThis is the **actual web scraper** running on **Bright Data\u2019s mobile proxy** \u2014 which mimics a real mobile device to avoid bot detection. It loads JavaScript, scrolls pages, and handles dynamic content.\n\n> \ud83d\udee1\ufe0f *Biggest Advantage:* Can access pages that block most traditional scrapers!\n\n---\n\n#### \ud83d\udcc4 `\ud83e\uddfe 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> \ud83e\udde9 *Tip:* This is the secret to clean automation \u2014 parsed data can now be reused, filtered, or enriched!\n\n---\n\n## \ud83d\udcca **SECTION 3: Save & Reuse the Leads**\n\n### \ud83d\udce5 `\ud83d\udce5 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> \ud83d\udcbc *Business Use:* Build a database of trending events, track where competitors exhibit, or generate cold outreach leads.\n\n---\n\n## \u2705 Summary for Beginners\n\n| \ud83e\udde9 Feature | \ud83d\udca1 Purpose | \ud83d\udc76 Beginner Tip |\n| --------------- | ---------------------------------------------------------- | -------------------------------------------------- |\n| Trigger & Input | Decide **when and what** to scrape | No code needed \u2014 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 \u2014 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\u2019ll receive a tiny commission if you join Bright Data through this link\u2014thanks 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": { "name": "" } }, "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, "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 } ] ] }, "\ud83d\udd52 Schedule Scraper": { "main": [ [ { "node": "\u2699\ufe0f Input URL & Params", "type": "main", "index": 0 } ] ] }, "\ud83e\udde0 Agent Memory Model": { "ai_languageModel": [ [ { "node": "\ud83e\udd16 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": "\ud83e\udd16 Bright Data AI Agent", "type": "ai_outputParser", "index": 0 } ] ] }, "\u2699\ufe0f Input URL & Params": { "main": [ [ { "node": "\ud83e\udd16 Bright Data AI Agent", "type": "main", "index": 0 } ] ] }, "\ud83e\udd16 Bright Data AI Agent": { "main": [ [ { "node": "\ud83d\udce5 Save to Google Sheets", "type": "main", "index": 0 } ] ] }, "\ud83d\udd77\ufe0f MCP Scraper: 10times": { "ai_tool": [ [ { "node": "\ud83e\udd16 Bright Data AI Agent", "type": "ai_tool", "index": 0 } ] ] } } }