Property Listing Scraping

Proprietary
Property Listing Scraping

Overview

Developed an advanced automated system to revolutionize the property sourcing process for Gorillas UK, effectively replacing the need for a five-person team. The system scraped the top five UK industrial property listing websites, including Rightmove, Zoopla, Realla, Novaloca, and MoveHut, providing real-time updates on newly listed properties that meet specific criteria in target areas.

Business Impact

  • Internally reproduced the data that external companies offer for over £10k per month.
  • Significantly reduced operational costs by automating the property sourcing process, eliminating the need for a five-person sourcing team.
  • Provided property team with valuable insights into the current market rates and historic availability levels.

Key Features

  • Utilized Python libraries such as BeautifulSoup and Selenium to scrape property listings from the top five UK property websites.
  • Developed an automated pipeline using CronJob to run the scraping scripts at regular intervals.
  • Implemented filters to flag properties based on predefined criteria, such as location, price range, and property specifications