Workflow: 0913_Splitout_Code_Create_Webhook
Integrations: code, googleSheets, httpRequest, manualTrigger, splitInBatches, splitOut, stickyNote

{"meta": {"instanceId": "4a11afdb3c52fd098e3eae9fad4b39fdf1bbcde142f596adda46c795e366b326"}, "nodes": [{"id": "f1b36f4b-6558-4e83-a999-e6f2d24e196c", "name": "OpenRouter Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "position": [620, 240], "parameters": {"model": "openai/gpt-4.1", "options": {}}, "typeVersion": 1}, {"id": "89ca0a07-286f-4e68-9e85-0327a4859cc0", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [900, 240], "parameters": {"schemaType": "manual", "inputSchema": "{\n  \"type\": \"array\",\n  \"items\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"name\": { \"type\": \"string\" },\n      \"description\": { \"type\": \"string\" },\n      \"rating\": { \"type\": \"number\" },\n      \"reviews\": { \"type\": \"integer\" },\n      \"price\": { \"type\": \"string\" }\n    },\n    \"required\": [\"name\", \"description\", \"rating\", \"reviews\", \"price\"]\n  }\n}"}, "typeVersion": 1.2}, {"id": "e4800c1d-c0d8-4093-81ec-fc19ad0034cd", "name": "scrap url", "type": "n8n-nodes-base.httpRequest", "position": [240, 60], "parameters": {"url": "https://api.brightdata.com/request", "method": "POST", "options": {}, "sendBody": true, "sendHeaders": true, "bodyParameters": {"parameters": [{"name": "zone", "value": "web_unlocker1"}, {"name": "url", "value": "={{ $json.url }}"}, {"name": "format", "value": "raw"}]}, "headerParameters": {"parameters": [{"name": "Authorization", "value": "{{BRIGHTDATA_TOKEN}}"}]}}, "typeVersion": 4.2}, {"id": "1a1f768f-615d-4035-81b0-63b860f8e6ac", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [160, -140], "parameters": {"content": "## Web Scraper API\n\n[Inscription - Free Trial](https://get.brightdata.com/website-scraper)"}, "typeVersion": 1}, {"id": "2f260d96-4fff-4a4f-af29-1e43f465d54c", "name": "When clicking \u2018Test workflow\u2019", "type": "n8n-nodes-base.manualTrigger", "position": [-440, 200], "parameters": {}, "typeVersion": 1}, {"id": "4be9033f-0b9f-466d-916e-88fbb2a80417", "name": "url", "type": "n8n-nodes-base.splitInBatches", "position": [20, 200], "parameters": {"options": {}}, "typeVersion": 3}, {"id": "21b6d21c-b977-4175-9068-e0e2e19fa472", "name": "get urls to scrape", "type": "n8n-nodes-base.googleSheets", "position": [-200, 200], "parameters": {"options": {}, "sheetName": "{{TRACK_SHEET_GID}}", "documentId": "{{WEB_SHEET_ID}}"}, "credentials": {"googleSheetsOAuth2Api": {"id": "KsXWRZTrfCUFrrHD", "name": "Google Sheets"}}, "typeVersion": 4.5}, {"id": "25ef76ec-cf0d-422e-b060-68c49192a008", "name": "clean html", "type": "n8n-nodes-base.code", "position": [460, 60], "parameters": {"jsCode": "// CleanHtmlFunction.js\n// Purpose: n8n Function node to clean HTML: remove doctype, scripts, styles, head, comments, classes, extra blank lines, and non-whitelisted tags\n\nreturn items.map(item => {\n  const rawHtml = item.json.data;\n\n  // 1) remove doctype, scripts, styles, comments and head section, and strip class attributes\n  let cleaned = rawHtml\n    .replace(/<!doctype html>/gi, '')\n    .replace(/<script[\\s\\S]*?<\\/script>/gi, '')\n    .replace(/<style[\\s\\S]*?<\\/style>/gi, '')\n    .replace(/<!--[\\s\\S]*?-->/g, '')\n    .replace(/<head[\\s\\S]*?<\\/head>/gi, '')\n    .replace(/\\sclass=\"[^\"]*\"/gi, '');\n\n  // 2) define whitelist of tags to keep\n  const allowedTags = [\n    'h1','h2','h3','h4','h5','h6',\n    'p','ul','ol','li',\n    'strong','em','a','blockquote',\n    'code','pre'\n  ];\n\n  // 3) strip out all tags not in the whitelist, reconstruct allowed tags cleanly\n  cleaned = cleaned.replace(\n    /<\\/?([a-z][a-z0-9]*)\\b[^>]*>/gi,\n    (match, tagName) => {\n      const name = tagName.toLowerCase();\n      if (allowedTags.includes(name)) {\n        return match.startsWith('</') ? `</${name}>` : `<${name}>`;\n      }\n      return '';\n    }\n  );\n\n  // 4) collapse multiple blank or whitespace-only lines into a single newline\n  cleaned = cleaned.replace(/(\\s*\\r?\\n\\s*){2,}/g, '\\n');\n\n  // 5) trim leading/trailing whitespace\n  cleaned = cleaned.trim();\n\n  return {\n    json: { cleanedHtml: cleaned }\n  };\n});"}, "typeVersion": 2}, {"id": "f72660d5-8427-4655-acbe-10365273c27b", "name": "extract data", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [680, 60], "parameters": {"text": "={{ $json.cleanedHtml }}", "messages": {"messageValues": [{"message": "=You are an expert in web page scraping. Provide a structured response in JSON format. Only the response, without commentary.\n\nExtract the product information for {{ $(\u2018url\u2019).item.json.url.split(\u2019/s?k=\u2019)[1].split(\u2019&\u2019)[0] }} present on the page.\n\nname\ndescription\nrating\nreviews\nprice"}]}, "promptType": "define", "hasOutputParser": true}, "typeVersion": 1.6}, {"id": "8b4af1bb-d7f8-456e-b630-ecd9b6e4bcdc", "name": "add results", "type": "n8n-nodes-base.googleSheets", "position": [1280, 200], "parameters": {"columns": {"value": {"name": "={{ $json.output.name }}", "price": "={{ $json.output.price }}", "rating": "={{ $json.output.rating }}", "reviews": "={{ $json.output.reviews }}", "description": "={{ $json.output.description }}"}, "schema": [{"id": "name", "type": "string"}, {"id": "description", "type": "string"}, {"id": "rating", "type": "string"}, {"id": "reviews", "type": "string"}, {"id": "price", "type": "string"}], "mappingMode": "defineBelow"}, "options": {}, "operation": "append", "sheetName": "{{RESULTS_SHEET_GID}}", "documentId": "{{WEB_SHEET_ID}}"}, "credentials": {"googleSheetsOAuth2Api": {"id": "KsXWRZTrfCUFrrHD", "name": "Google Sheets"}}, "typeVersion": 4.5}, {"id": "7a5ba438-2ede-4d6c-b8fa-9a958ba1ef3e", "name": "Split items", "type": "n8n-nodes-base.splitOut", "position": [1060, 60], "parameters": {"include": "allOtherFields", "options": {}, "fieldToSplitOut": "output"}, "typeVersion": 1}], "pinData": {}, "connections": {"url": {"main": [[], [{"node": "scrap url", "type": "main", "index": 0}]]}, "scrap url": {"main": [[{"node": "clean html", "type": "main", "index": 0}]]}, "clean html": {"main": [[{"node": "extract data", "type": "main", "index": 0}]]}, "Split items": {"main": [[{"node": "add results", "type": "main", "index": 0}]]}, "add results": {"main": [[{"node": "url", "type": "main", "index": 0}]]}, "extract data": {"main": [[{"node": "Split items", "type": "main", "index": 0}]]}, "get urls to scrape": {"main": [[{"node": "url", "type": "main", "index": 0}]]}, "OpenRouter Chat Model": {"ai_languageModel": [[{"node": "extract data", "type": "ai_languageModel", "index": 0}]]}, "Structured Output Parser": {"ai_outputParser": [[{"node": "extract data", "type": "ai_outputParser", "index": 0}]]}, "When clicking \u2018Test workflow\u2019": {"main": [[{"node": "get urls to scrape", "type": "main", "index": 0}]]}}}