Plantilla de extracción de entidades de páginas de Google
Este es unAI, Marketingflujo de automatización del dominio deautomatización que contiene 6 nodos.Utiliza principalmente nodos como Code, Webhook, HttpRequest, RespondToWebhook, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Extraer entidades con nombre de páginas web usando Google Natural Language API
- •Punto final de HTTP Webhook (n8n generará automáticamente)
- •Pueden requerirse credenciales de autenticación para la API de destino
Nodos utilizados (6)
Categoría
{
"id": "4wPgPbxtojrUO7Dx",
"meta": {
"instanceId": "f46651348590f9c7e3e7fe91218ed49590c553ab737d5cc247951397ff85fa93"
},
"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": "Responder a 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": "Nota adhesiva",
"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": "Obtener 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
},
{
"id": "081a52bc-2da7-44fb-bdc3-4cb73cbf8dd3",
"name": "Obtener contenido de la página URL",
"type": "n8n-nodes-base.httpRequest",
"position": [
580,
-420
],
"parameters": {
"url": "={{ $json.body.url }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "dda5ef3d-f031-4dd6-b117-c1f69aa66b63",
"name": "Responder con entidades detectadas",
"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,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "432203af-190a-4a89-81d8-f86682a0b63f",
"connections": {
"79add9a7-adca-4ce5-8a6a-5fcb75288846": {
"main": [
[
{
"node": "081a52bc-2da7-44fb-bdc3-4cb73cbf8dd3",
"type": "main",
"index": 0
}
]
]
},
"01420fd5-3483-4e74-b9fc-971199898449": {
"main": [
[
{
"node": "8719f1de-2a3e-4c34-9edc-e4b8f993b525",
"type": "main",
"index": 0
}
]
]
},
"081a52bc-2da7-44fb-bdc3-4cb73cbf8dd3": {
"main": [
[
{
"node": "dda5ef3d-f031-4dd6-b117-c1f69aa66b63",
"type": "main",
"index": 0
}
]
]
},
"dda5ef3d-f031-4dd6-b117-c1f69aa66b63": {
"main": [
[
{
"node": "01420fd5-3483-4e74-b9fc-971199898449",
"type": "main",
"index": 0
}
]
]
}
}
}¿Cómo usar este flujo de trabajo?
Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.
¿En qué escenarios es adecuado este flujo de trabajo?
Intermedio - Inteligencia Artificial, Marketing
¿Es de pago?
Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.
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