Automatiser la gestion des campagnes de prospection B2B

				
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    "instanceId": "f46651348590f9c7e3e7fe91218ed49590c553ab737d5cc247951397ff85fa93"
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  "name": "Google Page Entity Extraction Template",
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      "id": "hBkrfz3jN0GbUgJa",
      "name": "Google Page Entity Extraction Template",
      "createdAt": "2025-05-08T23:29:39.011Z",
      "updatedAt": "2025-05-08T23:29:39.011Z"
    }
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      "name": "Google Entities",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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      ],
      "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"
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        "content": "# Google Page Entity Extraction Templatenn## What this workflow doesnThis 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.nn### How to usen1. 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 endpointn3. 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 metadatann## Webhook Input FormatnThe webhook expects a POST request with a JSON body in this format:n```jsonn{n  "url": "https://website-to-analyze.com/page"n}n```n### Response FormatnThe webhook returns a JSON response containing the full entity analysis from Google's Natural Language API, including:nnEntity names and types (PERSON, LOCATION, ORGANIZATION, etc.)nSalience scores indicating entity importancenMetadata and mentions within the textnEntity sentiment (if available)"
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      "name": "Get Url",
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        "httpMethod": "POST",
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    {
      "id": "081a52bc-2da7-44fb-bdc3-4cb73cbf8dd3",
      "name": "Get URL Page Contents",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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      "parameters": {
        "url": "={{ $json.body.url }}",
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      "name": "Respond with detected entities",
      "type": "n8n-nodes-base.code",
      "position": [
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      "parameters": {
        "jsCode": "// Clean and prepare HTML for API requestnconst html = $input.item.json.data;n// Trim if too large (optional)nconst trimmedHtml = html.length > 100000 ? html.substring(0, 100000) : html;nnreturn {n  json: {n    apiRequest: {n      document: {n        type: "HTML",n        content: trimmedHtmln      },n      encodingType: "UTF8"n    }n  }n}"
      },
      "typeVersion": 2
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    "Get Url": {
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            "node": "Get URL Page Contents",
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    },
    "Google Entities": {
      "main": [
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            "node": "Respond to Webhook",
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    "Get URL Page Contents": {
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