Automated Real Estate Listing Extractor

## 🔹 **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.

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### ✅ **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.

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### ✅ **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.

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### 🧠 **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.