Еженедельный сбор объявлений о недвижимости через Scrapeless в Sheets

## 🔹 SECTION 4: 🕵️ Parse Listings — Extract Property Data ### 🧩 3. 🔍 Parse Listings (Code Node) Node Name: Parse Listings What it does: Handles the entire extraction and cleaning process in a single code node to simplify the workflow and improve performance. ### ✅ Step 1: Extract Markdown Text * Extracts the core Markdown-formatted text from the complex HTML response returned by Scrapeless. * Automatically removes unwanted HTML tags, scripts, and ads, keeping only the meaningful page content. --- ### ✅ Step 2: Parse Key Information * Uses regex and string manipulation to extract critical fields from the Markdown text, including: * 🏢 Property Title * 🔗 Link * 📐 Size * 🏗️ Year Built * Outputs clean, structured JSON objects that are easy to pass to downstream nodes. --- ### ✅ Step 3: Clean & Format Data * Filters out unnecessary fields, keeping only the relevant ones: * title * link * size * yearBuilt * Formats the output to be clean and ready for export to Google Sheets, Notion, Slack, databases, or other platforms. --- ### 🧠 Beginner Benefit: > 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.