Property Lookup Actor

An Apify Actor built with Python and Playwright for automating real estate data collection. It's designed to scrape property information from websites, handling dynamic content and structured data storage.

Key Features

• Python & Playwright: Uses the Playwright browser automation library to interact with and scrape modern, JavaScript-heavy real estate websites.
• Apify SDK for Python: Provides the underlying framework for building, running, and managing the Actor on the Apify platform.
• Structured Data Handling: Outputs data into an Apify Dataset, ensuring consistent formatting for each property record.
• Managed Queue: Uses an Apify Request Queue to manage the list of URLs (e.g., property listings or search pages) to be processed.
• Input Schema: Defines and validates the Actor's run configuration (start URLs, search parameters, etc.).

How to Use

Running on Apify Platform

1. Build the Actor: Configure the Actor in your Apify Console.
2. ​Run the Actor: Start a run with your desired input (like target URLs or search criteria).

Local Development

To develop or test locally, pull the Actor code using the Apify CLI:

1. Install the CLI:
   ```bash
   # Using Homebrew
   brew install apify-cli

   Using npm

   npm -g install apify-cli
   2. **Pull the Actor:** Use its unique name or ID (found in the Apify Console).bash
   apify pull
   ```

Input / Output

• Input: Configured via the input schema. Typically includes start URLs for property listings or search pages, and may include parameters for pagination, location filters, or other site-specific options.
• Output: The scraped property data (like addresses, prices, features, and descriptions) is stored in an Apify Dataset. You can export it as JSON, CSV, or other formats via the Apify API or console.

Resources & Documentation

• Apify SDK for Python documentation
• Apify Platform documentation
• Playwright for web scraping guide
• Join the developer community on Discord