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Real Estate Data Scraping

Scraping 10+ Protected Real Estate Portals

Built anti-bot-aware scraping infrastructure with session rotation, proxy rotation, and dynamic parameter handling.

Published

The problem

Real estate portals guard their listings. Session checks, rotating request parameters and bot detection cause a straightforward scraper to be blocked within a few requests, and every portal behaves differently. The goal was dependable data from more than ten protected portals, not a one-off export.

How I approached it

  1. Study each portal

    Map how every site issues sessions, builds requests and paginates, so the scraper follows the site's real flow instead of guessing.

  2. Rotate sessions and proxies

    Session management and proxy rotation keep request patterns natural and spread the load, which reduces blocks.

  3. Handle dynamic parameters

    Portals generate tokens and query parameters on the fly. The scrapers read and reproduce them per request rather than hard-coding values.

  4. Normalize the output

    Listings from every portal are mapped into one consistent schema, so downstream systems see a single clean format.

Simplified architecture

  1. Protected portals
  2. Session & proxy manager
  3. Scraper workers
  4. Parser & validator
  5. Structured listings

A simplified view of the stages, not a full system diagram.

Outcomes

  • One scraping layer covering 10+ protected portals
  • Consistent, structured listing data across every source
  • Session, proxy and parameter handling built in from the start