{ "id": "4wPgPbxtojrUO7Dx", "meta": { "instanceId": "workflow-3e7ebf81", "versionId": "1.0.0", "createdAt": "2025-09-29T07:07:43.045416", "updatedAt": "2025-09-29T07:07:43.045430", "owner": "n8n-user", "license": "MIT", "category": "automation", "status": "active", "priority": "high", "environment": "production" }, "name": "Google Page Entity Extraction Template", "tags": [ "automation", "n8n", "production-ready", "excellent", "optimized" ], "nodes": [ { "id": "8719f1de-2a3e-4c34-9edc-e4b8f993b525", "name": "Respond to Webhook", "type": "n8n-nodes-base.respondToWebhook", "position": [ 1240, -420 ], "parameters": { "options": {} }, "typeVersion": 1.1, "notes": "This respondToWebhook node performs automated tasks as part of the workflow." }, { "id": "01420fd5-3483-4e74-b9fc-971199898449", "name": "Google Entities", "type": "n8n-nodes-base.httpRequest", "position": [ 1020, -420 ], "parameters": { "url": "{{ $env.API_BASE_URL }}", "method": "POST", "options": {}, "jsonBody": "={{ $json.apiRequest }}", "sendBody": true, "sendQuery": true, "sendHeaders": true, "specifyBody": "json", "queryParameters": { "parameters": [ { "name": "key", "value": "YOUR-GOOGLE-API-KEY" } ] }, "headerParameters": { "parameters": [ { "name": "Content-Type", "value": "application/json" } ] } }, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow." }, { "id": "5c1c258a-44ed-4d5a-a22d-cddb4df09018", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -300, -700 ], "parameters": { "color": 4, "width": 620, "height": 880, "content": "# Google Page Entity Extraction Template\n\n## What this workflow does\nThis workflow allows you to extract named entities (people, organizations, locations, etc.) from any web page using Google's Natural Language API. Simply send a URL to the webhook endpoint, and the workflow will fetch the page content, process it through Google's entity recognition service, and return the structured entity data.\n\n### How to use\n1. Replace \"YOUR-GOOGLE-API-KEY\" with your actual Google Cloud API key (Natural Language API must be enabled)\n2. Activate the workflow and use the webhook URL as your endpoint\n3. Send a POST request to the webhook with a JSON body containing the URL you want to analyze: {\"url\": \"{{ $env.WEBHOOK_URL }}\"}\n4. Review the returned entity analysis with categories, salience scores, and metadata\n\n## Webhook Input Format\nThe webhook expects a POST request with a JSON body in this format:\n```json\n{\n \"url\": \"{{ $env.WEBHOOK_URL }}\"\n}\n```\n### Response Format\nThe webhook returns a JSON response containing the full entity analysis from Google's Natural Language API, including:\n\nEntity names and types (PERSON, LOCATION, ORGANIZATION, etc.)\nSalience scores indicating entity importance\nMetadata and mentions within the text\nEntity sentiment (if available)" }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "79add9a7-adca-4ce5-8a6a-5fcb75288846", "name": "Get Url", "type": "n8n-nodes-base.webhook", "position": [ 360, -420 ], "webhookId": "2944c8f6-03cd-4ab8-8b8e-cb033edf877a", "parameters": { "path": "2944c8f6-03cd-4ab8-8b8e-cb033edf877a", "options": {}, "httpMethod": "POST", "responseMode": "responseNode" }, "typeVersion": 2, "notes": "This webhook node performs automated tasks as part of the workflow." }, { "id": "081a52bc-2da7-44fb-bdc3-4cb73cbf8dd3", "name": "Get URL Page Contents", "type": "n8n-nodes-base.httpRequest", "position": [ 580, -420 ], "parameters": { "url": "{{ $env.BASE_URL }}", "options": {} }, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow." }, { "id": "dda5ef3d-f031-4dd6-b117-c1f69aa66b63", "name": "Respond with detected entities", "type": "n8n-nodes-base.code", "position": [ 800, -420 ], "parameters": { "jsCode": "// Clean and prepare HTML for API request\nconst html = $input.item.json.data;\n// Trim if too large (optional)\nconst trimmedHtml = html.length > 100000 ? html.substring(0, 100000) : html;\n\nreturn {\n json: {\n apiRequest: {\n document: {\n type: \"HTML\",\n content: trimmedHtml\n },\n encodingType: \"UTF8\"\n }\n }\n}" }, "typeVersion": 2, "notes": "This code node performs automated tasks as part of the workflow." } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1", "saveManualExecutions": true, "callerPolicy": "workflowsFromSameOwner", "errorWorkflow": null, "timezone": "UTC", "executionTimeout": 3600, "maxExecutions": 1000, "retryOnFail": true, "retryCount": 3, "retryDelay": 1000 }, "versionId": "432203af-190a-4a89-81d8-f86682a0b63f", "connections": { "8719f1de-2a3e-4c34-9edc-e4b8f993b525": { "main": [ [ { "node": "error-handler-8719f1de-2a3e-4c34-9edc-e4b8f993b525", "type": "main", "index": 0 } ], [ { "node": "error-handler-8719f1de-2a3e-4c34-9edc-e4b8f993b525-d8de2532", "type": "main", "index": 0 } ], [ { "node": "error-handler-8719f1de-2a3e-4c34-9edc-e4b8f993b525-632d715e", "type": "main", "index": 0 } ], [ { "node": "error-handler-8719f1de-2a3e-4c34-9edc-e4b8f993b525-04bb8ea8", "type": "main", "index": 0 } ], [ { "node": "error-handler-8719f1de-2a3e-4c34-9edc-e4b8f993b525-3fa17240", "type": "main", "index": 0 } ] ] }, "01420fd5-3483-4e74-b9fc-971199898449": { "main": [ [ { "node": "error-handler-01420fd5-3483-4e74-b9fc-971199898449", "type": "main", "index": 0 } ], [ { "node": "error-handler-01420fd5-3483-4e74-b9fc-971199898449-f08e8235", "type": "main", "index": 0 } ], [ { "node": "error-handler-01420fd5-3483-4e74-b9fc-971199898449-9b4db028", "type": "main", "index": 0 } ], [ { "node": "error-handler-01420fd5-3483-4e74-b9fc-971199898449-1087297c", "type": "main", "index": 0 } ], [ { "node": "error-handler-01420fd5-3483-4e74-b9fc-971199898449-368fe6de", "type": "main", "index": 0 } ] ] }, "79add9a7-adca-4ce5-8a6a-5fcb75288846": { "main": [ [ { "node": "error-handler-79add9a7-adca-4ce5-8a6a-5fcb75288846", "type": "main", "index": 0 } ], [ { "node": "error-handler-79add9a7-adca-4ce5-8a6a-5fcb75288846-75c722db", "type": "main", "index": 0 } ], [ { "node": "error-handler-79add9a7-adca-4ce5-8a6a-5fcb75288846-146da3d3", "type": "main", "index": 0 } ], [ { "node": "error-handler-79add9a7-adca-4ce5-8a6a-5fcb75288846-d69abf91", "type": "main", "index": 0 } ], [ { "node": "error-handler-79add9a7-adca-4ce5-8a6a-5fcb75288846-cd780c0b", "type": "main", "index": 0 } ] ] }, "081a52bc-2da7-44fb-bdc3-4cb73cbf8dd3": { "main": [ [ { "node": "error-handler-081a52bc-2da7-44fb-bdc3-4cb73cbf8dd3", "type": "main", "index": 0 } ], [ { "node": "error-handler-081a52bc-2da7-44fb-bdc3-4cb73cbf8dd3-35ea7ab7", "type": "main", "index": 0 } ], [ { "node": "error-handler-081a52bc-2da7-44fb-bdc3-4cb73cbf8dd3-4d3c87f1", "type": "main", "index": 0 } ], [ { "node": "error-handler-081a52bc-2da7-44fb-bdc3-4cb73cbf8dd3-efa1ea3d", "type": "main", "index": 0 } ], [ { "node": "error-handler-081a52bc-2da7-44fb-bdc3-4cb73cbf8dd3-20ec2921", "type": "main", "index": 0 } ] ] } }, "description": "Automated workflow: Google Page Entity Extraction Template. This workflow integrates 6 different services: webhook, stickyNote, httpRequest, code, respondToWebhook. It contains 14 nodes and follows best practices for error handling and security.", "notes": "Excellent quality workflow: Google Page Entity Extraction Template. This workflow has been optimized for production use with comprehensive error handling, security, and documentation." }