Extract Entities from Web Pages

The workflow JSON

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{
  "id": "4wPgPbxtojrUO7Dx",
  "name": "Google Page Entity Extraction Template",
  "tags": [
    {
      "id": "hBkrfz3jN0GbUgJa",
      "name": "Google Page Entity Extraction Template",
      "createdAt": "2025-05-08T23:29:39.011Z",
      "updatedAt": "2025-05-08T23:29:39.011Z"
    }
  ],
  "nodes": [
    {
      "id": "8719f1de-2a3e-4c34-9edc-e4b8f993b525",
      "name": "Respond to Webhook",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        1240,
        -420
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "01420fd5-3483-4e74-b9fc-971199898449",
      "name": "Google Entities",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1020,
        -420
      ],
      "parameters": {
        "url": "https://language.googleapis.com/v1/documents:analyzeEntities",
        "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
    },
    {
      "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\": \"https://example.com/page\"}\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\": \"https://website-to-analyze.com/page\"\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
    },
    {
      "id": "79add9a7-adca-4ce5-8a6a-5fcb75288846",
      "name": "Get Url",
      "type": "n8n-nodes-base.webhook",
      "position": [
        360,
        -420
      ],
      "parameters": {
        "path": "2944c8f6-03cd-4ab8-8b8e-cb033edf877a",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "responseNode"
      },
      "typeVersion": 2
    },
    {
      "id": "081a52bc-2da7-44fb-bdc3-4cb73cbf8dd3",
      "name": "Get URL Page Contents",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        580,
        -420
      ],
      "parameters": {
        "url": "={{ $json.body.url }}",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "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
    }
  ],
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "432203af-190a-4a89-81d8-f86682a0b63f",
  "connections": {
    "Get Url": {
      "main": [
        [
          {
            "node": "Get URL Page Contents",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Entities": {
      "main": [
        [
          {
            "node": "Respond to Webhook",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get URL Page Contents": {
      "main": [
        [
          {
            "node": "Respond with detected entities",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Respond with detected entities": {
      "main": [
        [
          {
            "node": "Google Entities",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

About this workflow

Google Page Entity Extraction Template. Uses respondToWebhook, httpRequest, stickyNote. Webhook trigger; 6 nodes.

Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →

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