Investigación web en Google Sheets con IA (GPT y Bright Data)

• •Punto final de HTTP Webhook (n8n generará automáticamente)
• •Pueden requerirse credenciales de autenticación para la API de destino
• •Clave de API de OpenAI

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    {
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      "parameters": {
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                "name": "Content-Type",
                "value": "text/plain; charset=utf-8"
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        "responseBody": "={{ $json.output.summary }}"
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      "id": "b33b25ad-aff9-4192-946b-becd709dfe6c",
      "name": "Agente de Búsqueda Bright Data",
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      "parameters": {
        "text": "=You are an AI agent specialized in web search and information retrieval.\n\nQuery: \"{{ $json.output }}\"\n\n## Objective:  \nPerform a focused search and return the most relevant link in **JSON format only**:  \n```json\n{\n  \"link\": \"\"\n}\n\n## Execution Process:\n\n### 1. Run Search\nsearch_engine(\n  query: [the query you constructed],\n  engine: \"google\",\n  limit: 10,\n  country: \"us\" or \"il\" depending on relevance\n)\n\n### 2. Filter Results\n\nPrioritize reliable sources:\nMajor news websites (Reuters, Bloomberg, WSJ, Haaretz, Globes)\nOfficial websites (investor relations, about pages)\nOfficial financial reports (SEC filings, quarterly reports)\nTrusted data sources (Wikipedia, Crunchbase, LinkedIn)\n\nSkip:\nAds and irrelevant marketing content\nUnverified forums\nOutdated content (unless historical info is requested)\nBroken or invalid links\n\nFind a suitable link based on:\nRelevance to the query\nRecency of the source\nSource credibility\n\n### 3. Return Result\n\nRequired format – JSON only, no additional text:\n{\n  \"link\": \"https://...\"\n}\n\nIf no high-quality result is found, search another source until you find one or return \"\".\n\n## Error Handling:\n\nIf search fails → try an alternative query\nIf no results found → return JSON with empty fields\nAlways return valid JSON, with no explanations or extra text",
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        "includeTools": [
          "search_engine"
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        "path": "brightdata-search",
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        "httpMethod": "POST",
        "responseMode": "responseNode",
        "authentication": "headerAuth"
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        "httpHeaderAuth": {
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      "typeVersion": 2.1
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    {
      "id": "8dfdd46c-ad8f-458a-a403-45910dcc13e5",
      "name": "Agente de Ajuste de Consulta",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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      "parameters": {
        "text": "=User prompt: {{ $json.userPrompt }}\nPrompt's referral: {{ $json.cellReference }}\n",
        "options": {
          "systemMessage": "=### 1. Request Analysis  \n\nIdentify the query type:  \n- **News/Updates**: \"News about X\", \"What’s happening with X\"  \n- **Financial Data**: \"Revenue\", \"Earnings\", \"Financial Reports\" \n- **Factual Information**: \"Who is the CEO\", \"How many employees\", \"Where is the HQ\"  \n- **Analysis/Comparison**: \"Competitors\", \"Compare to Y\", \"Alternatives\"  \n- **General Research**: Open-ended questions about a topic/field  \n\n### 2. Search Query Construction  \nBuild an optimal query based on the type:\n\n**News**: `\"{{ entity }}\" news [year/month if relevant]`  \n**Financial Data**: `\"{{ entity }}\" revenue earnings \"Q[X] [year]\"` or `financial results`  \n**Factual Information**: `\"{{ entity }}\" [specific fact] official`  \n**Analysis**: `\"{{ entity }}\" analysis competitors market share`  \n\n**Principles:**  \n- Always translate to English to maximize results  \n- Keep double quotes around specific names  \n- Add relevant time — current time is {{ $now.format('dd/LL/yyyy') }}  \n- Match keywords to the requested information type  \n\n## Examples:\n\n**Input**: Prompt's referral=\"Apple\", user prompt=\"Search for news about the company\"  \noutput example: \"Apple Inc\" news 2025 technology  \n\n**Input**: Prompt's referral=\"Tesla\", user prompt=\"Monthly revenue April\"  \noutput example: \"Tesla\" revenue \"April 2024\" OR \"Q2 2024\" financial results  \n\n**Input**: Prompt's referral=\"United States\", user prompt=\"Who is the president\"  \noutput example: \"United States\" president 19/10/2025 current  \n"
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    {
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      "name": "Bright Data - Extracción de Datos",
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        "url": "https://api.brightdata.com/request",
        "method": "POST",
        "options": {
          "batching": {
            "batch": {
              "batchSize": 1,
              "batchInterval": 2000
            }
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        "sendBody": true,
        "sendHeaders": true,
        "bodyParameters": {
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            {
              "name": "zone",
              "value": "mcp_unlocker"
            },
            {
              "name": "url",
              "value": "={{ $json.output.link }}"
            },
            {
              "name": "format",
              "value": "json"
            },
            {
              "name": "method",
              "value": "GET"
            },
            {
              "name": "country",
              "value": "il"
            },
            {
              "name": "data_format",
              "value": "markdown"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "Bearer YOUR_TOKEN_HERE"
            }
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      "typeVersion": 4.2
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      "name": "Extraer Datos",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "onError": "continueRegularOutput",
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        "text": "=## Input\n### The user's original request:\n{{ $('Set Variables').item.json.cellReference }} - {{ $('Set Variables').item.json.userPrompt }}\n### Full content scanned from a website:\n{{ $json.body }}",
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        "messages": {
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              "message": "=# You are an AI agent specialized in extracting relevant information. Your role is to receive:\n\n1. **The user's original request** – the question or topic requested  \n2. **Full content scanned from a website** – raw information from a source  \n\n## Objective\n\nExtract and summarize the most relevant information from the scanned content based on the user's query.\n\n## Workflow\n\n1. Carefully read the scanned content  \n2. Identify information directly relevant to the user's query  \n3. Create a focused and concise summary of only the relevant information  \n4. Completely ignore unrelated content  \n\n## Output Rules\n\n- **Return only valid JSON** according to the schema below  \n- Do not include any text outside the JSON  \n- The summary should include **only** information directly relevant to the user's query  \n- Maximum preferred length: **400 characters**  \n- If no relevant information is found, leave the `summary` field empty (`\"\"`)  \n\n## Edge Case Handling\n\n- **Partial or corrupted content:** Extract only the existing and relevant information  \n- **Multiple topics in content:** Focus only on the topic relevant to the user's query  \n- **Different language:** Translate relevant information to {{ $('Set Variables').item.json.ouputLanguage }}  \n- **No relevant information:** Return JSON with an empty `summary`  \n- **Always return valid JSON**, no extra text  \n\n## Key Principles\n\n** Extract factual, accurate, and focused information **  \n** Translate to {{ $('Set Variables').item.json.ouputLanguage }} when needed **  \n** Summarize concisely within 400 characters **  \n\n** Do not add information that is not in the original content **  \n** Do not include information unrelated to the query **  \n** Do not deviate from the JSON format **  \n"
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        "options": {
          "systemMessage": "=Generate a conclusion in {{ $('Set Variables').item.json.ouputLanguage }} based on all the information above. Filter and summarize the most relevant information according to the user's question into a maximum of 400 characters.  \nAlways return valid JSON, with no explanations or additional text.  \n"
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          "value": "vAMxTuckOJDPlMN3",
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      "name": "Web Scraping con IA a Google Sheets usando Bright Data",
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      "position": [
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        "content": "# AI-Powered Web Scraping to Google Sheets with Bright Data\n\n## Created by: [Elay Guez](https://www.linkedin.com/in/elay-g)\n\n## Features\n* 📊 **Custom Function** in Google Sheets: `=BRIGHTDATA(cell,\"prompt\")`\n* 🤖 **AI-optimized** search queries for better results\n* 🔍 **Bright Data** enterprise scraping (bypasses bot detection)\n* 🎯 **AI-filtered** results return only the best match\n* ⚡ **<20 second** response time\n\n## Quick Setup\n1. Connect OpenAI API key (GPT-4.1 + GPT-4o Mini + GPT 4o)\n2. Add Bright Data API credentials\n3. Deploy Google Apps Script custom function\n4. Configure webhook authentication\n5. Write preffered Language output in \"Set Variables\" Node\n6. Test & activate! 🚀\n\n## Cost per search: ~$0.02-0.05\n## Time saved: 3-5 minutes per search"
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      "position": [
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        "content": "# 1) Get Query & Organize Data"
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      "position": [
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        "width": 468,
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        "content": "# 2) Suit Query to Brightdata"
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      "position": [
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        "width": 724,
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        "content": "# 3) Brightdata's Scraping "
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        "width": 1716,
        "height": 424,
        "content": "# 4) Infomation Extraction + Retrieving Summary & Updating Logs "
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