Extracción y minería de datos estructurados usando Bright Data y Google Gemini
Avanzado
Este es unContent Creation, Multimodal AIflujo de automatización del dominio deautomatización que contiene 18 nodos.Utiliza principalmente nodos como Set, Function, HttpRequest, ManualTrigger, ReadWriteFile. Utilizar Bright Data y Google Gemini para extraer y analizar datos de la web
Requisitos previos
- •Pueden requerirse credenciales de autenticación para la API de destino
- •Clave de API de Google Gemini
Nodos utilizados (18)
Categoría
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
"id": "1GOrjyc9mtZCMvCr",
"meta": {
"instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
"templateCredsSetupCompleted": true
},
"name": "Structured Data Extract, Data Mining with Bright Data & Google Gemini",
"tags": [
{
"id": "Kujft2FOjmOVQAmJ",
"name": "Engineering",
"createdAt": "2025-04-09T01:31:00.558Z",
"updatedAt": "2025-04-09T01:31:00.558Z"
},
{
"id": "ddPkw7Hg5dZhQu2w",
"name": "AI",
"createdAt": "2025-04-13T05:38:08.053Z",
"updatedAt": "2025-04-13T05:38:08.053Z"
}
],
"nodes": [
{
"id": "1e9038e6-9ebc-4460-bee2-3faea3b38f4c",
"name": "Al hacer clic en 'Probar flujo de trabajo'",
"type": "n8n-nodes-base.manualTrigger",
"position": [
200,
-420
],
"parameters": {},
"typeVersion": 1
},
{
"id": "fd4ace46-7261-4380-8b65-1e00bb574f27",
"name": "Nota adhesiva",
"type": "n8n-nodes-base.stickyNote",
"position": [
200,
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],
"parameters": {
"width": 400,
"height": 300,
"content": "## Note\n\nThis workflow deals with the structured data extraction by utilizing Bright Data Web Unlocker Product.\n\nThe Basic LLM Chain, Information Extraction, are being used to demonstrate the usage of the N8N AI capabilities.\n\n**Please make sure to set the web URL of your interest within the \"Set URL and Bright Data Zone\" node and update the Webhook Notification URL**"
},
"typeVersion": 1
},
{
"id": "1c1dd10f-beb2-4cc7-9118-77efd3172651",
"name": "Nota adhesiva1",
"type": "n8n-nodes-base.stickyNote",
"position": [
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"parameters": {
"width": 480,
"height": 300,
"content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nBasic LLM Chain Data Extractor.\n\nInformation Extraction is being used for the handling the custom sentiment analysis with the structured response."
},
"typeVersion": 1
},
{
"id": "9795ac80-6ded-465d-bfcf-0c6ce120452f",
"name": "Extractor de Datos Textuales de Markdown",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
860,
-420
],
"parameters": {
"text": "=You need to analyze the below markdown and convert to textual data. Please do not output with your own thoughts. Make sure to output with textual data only with no links, scripts, css etc.\n\n{{ $json.data }}",
"messages": {
"messageValues": [
{
"message": "You are a markdown expert"
}
]
},
"promptType": "define"
},
"typeVersion": 1.6
},
{
"id": "b6a8cc64-c0c7-40dc-b7c1-0571baf3a0a9",
"name": "Establecer URL y Zona de Bright Data",
"type": "n8n-nodes-base.set",
"position": [
420,
-420
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3aedba66-f447-4d7a-93c0-8158c5e795f9",
"name": "url",
"type": "string",
"value": "https://www.bbc.com/news/world"
},
{
"id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba",
"name": "zone",
"type": "string",
"value": "web_unlocker1"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "8d15dca1-3014-405f-ac35-78d64eda1d07",
"name": "Iniciar una notificación Webhook para extracción de datos textuales de Markdown",
"type": "n8n-nodes-base.httpRequest",
"position": [
1314,
-720
],
"parameters": {
"url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "content",
"value": "={{ $json.text }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "fff9e2d1-f3e2-47c3-8c3a-f9de8dbdee6a",
"name": "Iniciar una notificación Webhook para Analizador de Sentimientos con IA",
"type": "n8n-nodes-base.httpRequest",
"position": [
1612,
80
],
"parameters": {
"url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "summary",
"value": "={{ $json.output }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "40c82a76-1710-4e57-8123-9c9fbc729110",
"name": "Modelo de Chat Google Gemini para Extracción de Datos",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
948,
-200
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "0c1da174-9b9c-4067-9b2c-fa0cc8c33dc8",
"name": "Modelo de Chat Google Gemini para Analizador de Sentimientos",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
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],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "7fae589c-854d-429e-9e67-527a002fcabf",
"name": "Ejecutar Solicitud Web de Bright Data",
"type": "n8n-nodes-base.httpRequest",
"position": [
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],
"parameters": {
"url": "https://api.brightdata.com/request",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "zone",
"value": "={{ $json.zone }}"
},
{
"name": "url",
"value": "={{ $json.url }}?product=unlocker&method=api"
},
{
"name": "format",
"value": "raw"
},
{
"name": "data_format",
"value": "markdown"
}
]
},
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "kdbqXuxIR8qIxF7y",
"name": "Header Auth account"
}
},
"typeVersion": 4.2
},
{
"id": "e15fb9ba-ea8f-41f0-9b99-437d14a98a7d",
"name": "Extractor de Temáticas con la respuesta estructurada",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
1236,
-20
],
"parameters": {
"text": "=Perform the topic analysis on the below content and output with the structured information.\n\nHere's the content:\n\n{{ $('Perform Bright Data Web Request').item.json.data }}",
"options": {
"systemPromptTemplate": "You are an expert data analyst."
},
"schemaType": "manual",
"inputSchema": "{\n \"$schema\": \"http://json-schema.org/draft-07/schema#\",\n \"title\": \"TopicModelingResponseArray\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"topic\": {\n \"type\": \"string\",\n \"description\": \"The identified topic or theme derived from the input text.\"\n },\n \"score\": {\n \"type\": \"number\",\n \"minimum\": 0,\n \"maximum\": 1,\n \"description\": \"Confidence score representing how strongly this topic is reflected in the content.\"\n },\n \"summary\": {\n \"type\": \"string\",\n \"description\": \"Brief explanation of the topic’s context within the text.\"\n },\n \"keywords\": {\n \"type\": \"array\",\n \"description\": \"List of keywords associated with the topic.\",\n \"items\": {\n \"type\": \"string\"\n }\n }\n },\n \"required\": [\"topic\", \"score\", \"summary\", \"keywords\"],\n \"additionalProperties\": false\n }\n}\n"
},
"typeVersion": 1
},
{
"id": "e7f2b2c5-89ba-45c4-b7a4-297a159f8b39",
"name": "Tendencias por ubicación y categoría con la respuesta estructurada",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
1236,
-520
],
"parameters": {
"text": "=Perform the data analysis on the below content and output with the structured information by clustering the emerging trends by location and category\n\nHere's the content:\n\n{{ $('Perform Bright Data Web Request').item.json.data }}",
"options": {
"systemPromptTemplate": "You are an expert data analyst."
},
"schemaType": "manual",
"inputSchema": "{\n \"$schema\": \"http://json-schema.org/draft-07/schema#\",\n \"title\": \"EmergingTrendsClusteredByLocationAndCategory\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"location\": {\n \"type\": \"string\",\n \"description\": \"Geographical region or city where the trend is observed.\"\n },\n \"category\": {\n \"type\": \"string\",\n \"description\": \"Domain or industry related to the trend (e.g., Technology, Finance, Healthcare).\"\n },\n \"trends\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"trend\": {\n \"type\": \"string\",\n \"description\": \"A concise label for the emerging trend.\"\n },\n \"score\": {\n \"type\": \"number\",\n \"minimum\": 0,\n \"maximum\": 1,\n \"description\": \"Confidence or prominence score of the trend.\"\n },\n \"summary\": {\n \"type\": \"string\",\n \"description\": \"Short explanation describing the context and impact of the trend.\"\n },\n \"mentions\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n },\n \"description\": \"Keywords or phrases that commonly co-occur with the trend.\"\n }\n },\n \"required\": [\"trend\", \"score\", \"summary\", \"mentions\"],\n \"additionalProperties\": false\n }\n }\n },\n \"required\": [\"location\", \"category\", \"trends\"],\n \"additionalProperties\": false\n }\n}\n"
},
"typeVersion": 1
},
{
"id": "92203e9f-cf13-435e-bf78-3c39a6e1e6f6",
"name": "Modelo de Chat Google Gemini",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1324,
-300
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "1a252b74-6768-41a6-99dd-090e35c47065",
"name": "Iniciar una notificación Webhook para tendencias por ubicación y categoría",
"type": "n8n-nodes-base.httpRequest",
"position": [
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],
"parameters": {
"url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "summary",
"value": "={{ $json.output }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "c952ab41-66af-4b41-b04e-407816074c87",
"name": "Crear archivo binario para temáticas",
"type": "n8n-nodes-base.function",
"position": [
1612,
-120
],
"parameters": {
"functionCode": "items[0].binary = {\n data: {\n data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n }\n};\nreturn items;"
},
"typeVersion": 1
},
{
"id": "2cf80339-0927-4f48-a13a-c610eaf4edca",
"name": "Escribir archivo de temáticas en disco",
"type": "n8n-nodes-base.readWriteFile",
"position": [
1820,
-120
],
"parameters": {
"options": {},
"fileName": "d:\\topics.json",
"operation": "write"
},
"typeVersion": 1
},
{
"id": "cf1da0ee-bb78-4ea7-bb2d-f2f82f728b12",
"name": "Escribir archivo de tendencias en disco",
"type": "n8n-nodes-base.readWriteFile",
"position": [
1832,
-520
],
"parameters": {
"options": {},
"fileName": "d:\\trends.json",
"operation": "write"
},
"typeVersion": 1
},
{
"id": "d38ca005-6ba3-4105-9fcd-058602ba16ce",
"name": "Crear datos binarios para tendencias",
"type": "n8n-nodes-base.function",
"position": [
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],
"parameters": {
"functionCode": "items[0].binary = {\n data: {\n data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n }\n};\nreturn items;"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "6a81579d-1f3b-4ea2-821b-fff07b32ee7d",
"connections": {
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"b6a8cc64-c0c7-40dc-b7c1-0571baf3a0a9": {
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[]
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"d38ca005-6ba3-4105-9fcd-058602ba16ce": {
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"c952ab41-66af-4b41-b04e-407816074c87": {
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"7fae589c-854d-429e-9e67-527a002fcabf": {
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[
{
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"index": 0
}
]
]
},
"1e9038e6-9ebc-4460-bee2-3faea3b38f4c": {
"main": [
[
{
"node": "b6a8cc64-c0c7-40dc-b7c1-0571baf3a0a9",
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},
"9795ac80-6ded-465d-bfcf-0c6ce120452f": {
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{
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"type": "main",
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"40c82a76-1710-4e57-8123-9c9fbc729110": {
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},
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"e7f2b2c5-89ba-45c4-b7a4-297a159f8b39": {
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{
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"type": "main",
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}
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]
}
}
}Preguntas frecuentes
¿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?
Avanzado - Creación de contenido, IA Multimodal
¿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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Información del flujo de trabajo
Nivel de dificultad
Avanzado
Número de nodos18
Categoría2
Tipos de nodos9
Descripción de la dificultad
Autor
Amit Mehta
@amitswbaI'm a workflow automation expert with 15+ years in IT industry. I build smart, scalable n8n workflows for AI automation, marketing, CRM, and SaaS integrations. My focus is on simplifying business processes with tools like OpenAI, WhatsApp, Gmail, and Airtable. I help teams and solopreneurs automate smarter, reduce manual tasks, and grow faster—one workflow at a time.
Enlaces externos
Ver en n8n.io →
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