realtorcom-scraper

Realtor.com Scraper

This scraper is using scrapfly.io and Python to scrape property listing data from Realtor.com.

Full tutorial https://scrapfly.io/blog/how-to-scrape-realtorcom/

The scraping code is located in the realtorcom.py file. It's fully documented and simplified for educational purposes and the example scraper run code can be found in run.py file.

This scraper scrapes:

• Realtor.com property listing data
• Realtor.com search results
• Realtor.com property change feeds (RSS)

For output examples see the ./results directory.

Fair Use Disclaimer

Note that this code is provided free of charge as is, and Scrapfly does not provide free web scraping support or consultation. For any bugs, see the issue tracker.

Setup and Use

This Realtor.com scraper uses Python 3.10 with scrapfly-sdk package which is used to scrape and parse Realtor.com's data.

0. Ensure you have Python 3.10 and poetry Python package manager on your system.
1. Retrieve your Scrapfly API key from https://scrapfly.io/dashboard and set SCRAPFLY_KEY environment variable:

   $ export SCRAPFLY_KEY="YOUR SCRAPFLY KEY"

2. Clone and install Python environment:

   $ git clone https://github.com/scrapfly/scrapfly-scrapers.git
   $ cd scrapfly-scrapers/realtorcom-scraper
   $ poetry install

3. Run example scrape:

   $ poetry run python run.py

4. Run tests:

   $ poetry install --with dev
   $ poetry run pytest test.py
   # or specific scraping areas
   $ poetry run pytest test.py -k test_property_scraping
   $ poetry run pytest test.py -k test_search_scraping
   $ poetry run pytest test.py -k test_feed_scraping