Modèle d'extraction d'entités de pages Google
Ceci est unAI, Marketingworkflow d'automatisation du domainecontenant 6 nœuds.Utilise principalement des nœuds comme Code, Webhook, HttpRequest, RespondToWebhook, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. Extraire des entités nommées à partir de pages web avec l'API Google Natural Language
- •Point de terminaison HTTP Webhook (généré automatiquement par n8n)
- •Peut nécessiter les informations d'identification d'authentification de l'API cible
Nœuds utilisés (6)
Catégorie
{
"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": "Répondre à Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1240,
-420
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "01420fd5-3483-4e74-b9fc-971199898449",
"name": "Entités Google",
"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": "Note autocollante",
"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": "Obtenir l'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": "Obtenir le contenu de la page 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": "Répondre avec les entités détectées",
"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
}
]
]
}
}
}Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Intermédiaire - Intelligence Artificielle, Marketing
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
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