Real estate

Property listing scraping

Listing portals publish tens of thousands of properties every day, and pull them just as fast. The point is not to read one listing — it is to track a population in motion: what comes in, what goes out, and at what price.

Data we extract

  • Asking price and how it moves until withdrawal
  • Floor area, room count and floor level
  • Property type and year of construction
  • Energy performance rating
  • Location down to town and neighbourhood
  • Seller type: agency, network or private owner
  • Photos, description and listing reference
  • Publication and withdrawal dates

Example use cases

  • Price-per-square-metre observatory
  • Spotting underpriced properties the day they appear
  • Valuation and listing pitch material
  • Tracking stock and time-to-sell by area

Need data of this kind?

Tell us about your project: sources, fields, volume and frequency. We'll come back with a clear proposal.