AI-Powered Web Scraping

Real Estate Scraper: Compare Listings Across Property Sites

Choose a public housing search or listing page. Keep source, address, asking price, home facts, status, and agent context in one table without assuming that every site shows the same details.

Need more ways to scrape at scale?

A quick playground: Try it yourself.

Compare Listings Across Property Sites

Adapt to page layouts, revisit chosen markets, and preserve one clean row per home.

Skip Site-by-Site Selector Setup

Thunderbit reads the visible meaning of price, status, beds, baths, and area, so you can work across property sites without building CSS rules for each layout.

real-estate-scraper-never-breaks.png

Refresh Listing Data on a Schedule

Schedule another run on the same search or listing pages to get a new view of price, status, or availability.

real-estate-scraper-scheduled.png

Keep Each Property in One Clean Row

Source, address, price, home facts, agent, and status remain separate columns. Any fact the site does not display stays blank.

real-estate-scraper-clean-data.png

Compare Property Listings Without Building a Scraper

Keep search-page and property-page facts attached to the same home.

Manual Copying or Selector Tools

Context gets separated
Price gets separated from status
Property facts need another tab
Page changes require rule repairs
Exports need manual cleanup
One Click Extract

Thunderbit AI Agent

Open a property page and start
Useful listing details are suggested
Linked pages can add property facts
Plain English refines the task
Rows export in one table

A shared schema for mixed property listings

Each housing source fills only the facts and listing context it displays.

  • listing_url
  • address
  • city
  • state
  • postal_code
  • neighborhood
  • price
  • price_change
  • beds
  • baths
  • half_baths
  • square_feet
  • lot_size
  • property_type
  • listing_status
  • days_on_market
  • year_built
  • hoa_fee
  • price_per_sqft
  • open_house_date
  • open_house_start_time
  • open_house_end_time
  • agent_name
  • brokerage
  • agent_phone
  • mls_id
  • listing_id
  • photo_url
  • virtual_tour_url
  • description_snippet

Watch analysts organize listings with Thunderbit

Customer videos show people turning listing facts into rows and changing the fields for their own comparison.

Designing one table for different housing sources

A shared schema works only when source-specific gaps remain visible.

Move from collected listings to market questions

Separate rentals from homes for sale, compare local areas, or review agents across the sites you choose.

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