Extractor automatizado de propiedades inmobiliarias

• •Credenciales de API de Google Sheets

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        "content": "## 🔹 **SECTION 1: 🔁 Schedule Trigger — Automate Workflow**\n\n### 🧩 1. 📅 Schedule Trigger\n\n**Node Name:** `Schedule Trigger`  \n**What it does:**  \nAutomatically triggers the workflow every 6 hours, no manual intervention needed. Keeps your data fresh and updated regularly.\n\n🧠 **Beginner Benefit:**  \n\n> Set it once and forget it — your workflow runs automatically on schedule without any extra effort.\n\n---\n\n## 🔹 **SECTION 2: 🌐 Scrapeless Crawler — Fetch Webpage Data**\n\n### 🧩 2. 🕷️ Scrapeless Crawler\n\n**Node Name:** `Scrapeless Crawler`  \n**What it does:**  \nSends a request to Scrapeless API to crawl the target real estate webpage. Returns the page content in Markdown format for easy parsing later.\n\n**Example URL:**  \nhttps://www.loopnet.com/search/commercial-real-estate/los-angeles-ca/for-lease/\n\n🧠 **Beginner Benefit:**  \n\n> Leverage powerful scraping as a service — no need to write complicated crawler code yourself.\n\n---\n"
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        "content": "\n\n## 🔹 **SECTION 4: 🕵️ Parse Listings — Extract Property Data**\n\n### 🧩 3. 🔍 Parse Listings (Code Node)\n\n\n**Node Name:** `Parse Listings`\n**What it does:**\nHandles the entire extraction and cleaning process in a single code node to simplify the workflow and improve performance.\n\n\n### ✅ **Step 1: Extract Markdown Text**\n\n* Extracts the core Markdown-formatted text from the complex HTML response returned by Scrapeless.\n* Automatically removes unwanted HTML tags, scripts, and ads, keeping only the meaningful page content.\n\n---\n\n### ✅ **Step 2: Parse Key Information**\n\n* Uses regex and string manipulation to extract critical fields from the Markdown text, including:\n\n  * 🏢 **Property Title**\n  * 🔗 **Link**\n  * 📐 **Size**\n  * 🏗️ **Year Built**\n\n* Outputs clean, structured **JSON objects** that are easy to pass to downstream nodes.\n\n---\n\n### ✅ **Step 3: Clean & Format Data**\n\n* Filters out unnecessary fields, keeping only the relevant ones:\n\n  * `title`\n  * `link`\n  * `size`\n  * `yearBuilt`\n\n* Formats the output to be clean and ready for export to Google Sheets, Notion, Slack, databases, or other platforms.\n\n---\n\n### 🧠 **Beginner Benefit:**\n\n> Extracts text, parses listings, and cleans data in one step, saving time and reducing node complexity. Produces structured, ready-to-use data for your business needs.\n\n"
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        "url": "https://www.loopnet.com/search/commercial-real-estate/los-angeles-ca/for-lease/",
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        "operation": "crawl",
        "limitCrawlPages": 2
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      "credentials": {
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        "content": "\n\n## 🔹 **SECTION 6: 📊 Append to Google Sheets — Save Data**\n\n### 🧩 6. 📈 Append to Google Sheets\n\n**Node Name:** `Google Sheets Append`  \n**What it does:**  \nAppends the parsed and cleaned property data into a Google Sheets spreadsheet for easy review and analysis.\n\n🧠 **Beginner Benefit:**  \n\n> Automatically keeps your spreadsheet up-to-date with fresh listings — no copy/paste required.\n\n"
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