Informes del mercado inmobiliario a través de Bright Data

Intermedio

Este es unAIflujo de automatización del dominio deautomatización que contiene 9 nodos.Utiliza principalmente nodos como Html, HttpRequest, GoogleSheets, ScheduleTrigger, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Informe automatizado del mercado inmobiliario con Bright Data y n8n

Requisitos previos
  • Pueden requerirse credenciales de autenticación para la API de destino
  • Credenciales de API de Google Sheets
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
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        "content": "=======================================\n            WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n    Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n   - YouTube: https://www.youtube.com/@YaronBeen/videos\n   - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n"
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        "content": "# 📊 **Commercial Real Estate Weekly Report Automation**\n\nThis automation helps you **scrape commercial property listings** (like office and retail spaces) from top websites using **Bright Data**, and automatically stores that data into a **Google Sheet**, ready for reporting or analysis.\n\n---\n\n## 🔹 **SECTION 1: 🔁 Automate + Scrape Listings**\n\n### 🧩 1. 📆 Weekly Market Trigger\n\n**Node Name:** `Weekly Market Trigger`\n**What it does:**\nThis node automatically starts the workflow every week (e.g., Monday at 8 AM). You don't have to press a button — it just runs in the background.\n\n🧠 **Beginner Benefit:**\n\n> Automate your market research without ever missing a week. Set it once and let it run!\n\n---\n\n### 🧩 2. 🌐 Fetch Listings via Bright Data\n\n**Node Name:** `Fetch Listings via Bright Data`\n**What it does:**\nThis node sends a `POST` request to **Bright Data Web Unlocker API**, which is a tool that bypasses captchas, anti-bot systems, and complex JavaScript-loaded pages to give you clean HTML content.\n\n**It targets a URL like:**\n\n```\nhttps://www.loopnet.com/for-lease/office/san-francisco-ca/\n```\n\n🛡️ Bright Data ensures the page is accessed as if it's being opened by a real user — no blocks, no errors.\n\n🧠 **Beginner Benefit:**\n\n> Even if a website has bot protections or hidden content, this node ensures you can access the data consistently and safely.\n\n---\n\n## 🔸 **SECTION 2: 🧱 Extract + Save Listings**\n\n### 🧩 3. 🧱 Extract Listing Details (HTML)\n\n**Node Name:** `Extract Listing Details (HTML)`\n**What it does:**\nIt scans the HTML content from the Bright Data response and pulls out important fields like:\n\n* 🏢 Property Title\n* 💵 Price\n* 📍 Address\n* 📐 Size\n* 🔗 Link to the listing\n\nUses **CSS selectors** like `.listing-title` or `.price-info` to find this info.\n\n🧠 **Beginner Benefit:**\n\n> This node turns messy website code into clean, structured data you can actually use in a report or analysis.\n\n---\n\n### 🧩 4. 📊 Save to Google Sheets\n\n**Node Name:** `Save to Google Sheets`\n**What it does:**\nThis final step **appends each extracted listing** into a Google Sheet in real time.\n\nYou’ll get a spreadsheet like this:\n\n| Title | Price | Address | Size | URL |\n| ----- | ----- | ------- | ---- | --- |\n\n🧠 **Beginner Benefit:**\n\n> Your scraped data is saved instantly where you can filter, chart, or share it with clients or your team.\n\n---\n\n## 🚀 **What You Can Do With This Workflow**\n\n* 📈 Track weekly commercial real estate trends\n* 🧠 Compare price per square foot by neighborhood\n* 📨 Send reports to clients or investors\n* 🔁 Use Google Sheets to trigger visual dashboards\n\n---\n\n## 🎁 Want to Make It Better?\n\n* Add a ✉️ **Slack or Email notification** node at the end\n* Use a 🪄 **Markdown Generator** to create beautiful weekly summaries\n* Append data to **separate tabs by week** for historical tracking\n\n---\n"
      },
      "typeVersion": 1
    },
    {
      "id": "f1c420c9-ad46-48a5-83cf-f43a6377241c",
      "name": "Activador semanal del mercado",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
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      "parameters": {
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              ],
              "triggerAtHour": 9
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      },
      "typeVersion": 1.2
    },
    {
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      "name": "Obtener listados mediante 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,
        "bodyParameters": {
          "parameters": [
            {
              "name": "zone",
              "value": "n8n_unblocker"
            },
            {
              "name": "url",
              "value": "https://www.crexi.com/properties?geo=san-francisco-ca"
            },
            {
              "name": "country",
              "value": "us"
            },
            {
              "name": "format",
              "value": "raw"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
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      "typeVersion": 4.2
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      "name": "Extraer detalles del listado (HTML)",
      "type": "n8n-nodes-base.html",
      "position": [
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      "parameters": {
        "options": {},
        "operation": "extractHtmlContent",
        "extractionValues": {
          "values": [
            {
              "key": "Price",
              "cssSelector": "<span _ngcontent-ng-c2107907900=\"\" data-cy=\"propertyPrice\" class=\"ng-star-inserted\">$3,995,000</span>",
              "returnArray": true
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        }
      },
      "typeVersion": 1.2
    },
    {
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      "name": "Guardar en Hojas de Google",
      "type": "n8n-nodes-base.googleSheets",
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      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "r2mDaisH6e9VkwHl",
          "name": "Google Sheets account"
        }
      },
      "typeVersion": 4.6
    },
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        "content": "## 🔹 **SECTION 1: 🔁 Automate + Scrape Listings**\n\n### 🧩 1. 📆 Weekly Market Trigger\n\n**Node Name:** `Weekly Market Trigger`\n**What it does:**\nThis node automatically starts the workflow every week (e.g., Monday at 8 AM). You don't have to press a button — it just runs in the background.\n\n🧠 **Beginner Benefit:**\n\n> Automate your market research without ever missing a week. Set it once and let it run!\n\n---\n\n### 🧩 2. 🌐 Fetch Listings via Bright Data\n\n**Node Name:** `Fetch Listings via Bright Data`\n**What it does:**\nThis node sends a `POST` request to **Bright Data Web Unlocker API**, which is a tool that bypasses captchas, anti-bot systems, and complex JavaScript-loaded pages to give you clean HTML content.\n\n**It targets a URL like:**\n\n```\nhttps://www.loopnet.com/for-lease/office/san-francisco-ca/\n```\n\n🛡️ Bright Data ensures the page is accessed as if it's being opened by a real user — no blocks, no errors.\n\n🧠 **Beginner Benefit:**\n\n> Even if a website has bot protections or hidden content, this node ensures you can access the data consistently and safely.\n\n---\n"
      },
      "typeVersion": 1
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        "content": "## 🔸 **SECTION 2: 🧱 Extract + Save Listings**\n\n### 🧩 3. 🧱 Extract Listing Details (HTML)\n\n**Node Name:** `Extract Listing Details (HTML)`\n**What it does:**\nIt scans the HTML content from the Bright Data response and pulls out important fields like:\n\n* 🏢 Property Title\n* 💵 Price\n* 📍 Address\n* 📐 Size\n* 🔗 Link to the listing\n\nUses **CSS selectors** like `.listing-title` or `.price-info` to find this info.\n\n🧠 **Beginner Benefit:**\n\n> This node turns messy website code into clean, structured data you can actually use in a report or analysis.\n\n---\n\n### 🧩 4. 📊 Save to Google Sheets\n\n**Node Name:** `Save to Google Sheets`\n**What it does:**\nThis final step **appends each extracted listing** into a Google Sheet in real time.\n\nYou’ll get a spreadsheet like this:\n\n| Title | Price | Address | Size | URL |\n| ----- | ----- | ------- | ---- | --- |\n\n🧠 **Beginner Benefit:**\n\n> Your scraped data is saved instantly where you can filter, chart, or share it with clients or your team.\n\n---\n"
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      "parameters": {
        "color": 7,
        "width": 380,
        "height": 240,
        "content": "## I’ll receive a tiny commission if you join Bright Data through this link—thanks for fueling more free content!\n\n### https://get.brightdata.com/1tndi4600b25"
      },
      "typeVersion": 1
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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?

Intermedio - Inteligencia Artificial

¿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.

Información del flujo de trabajo
Nivel de dificultad
Intermedio
Número de nodos9
Categoría1
Tipos de nodos5
Descripción de la dificultad

Adecuado para usuarios con experiencia intermedia, flujos de trabajo de complejidad media con 6-15 nodos

Autor
Yaron Been

Yaron Been

@yaron-nofluff

Building AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host If you need any help with Automations, feel free to reach out via linkedin: https://www.linkedin.com/in/yaronbeen/ And check out my Youtube channel: https://www.youtube.com/@YaronBeen/videos

Enlaces externos
Ver en n8n.io

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Categorías

Categorías: 34