Real estate is one of the most data-intensive industries, yet property data remains fragmented across hundreds of portals, MLS systems, and listing aggregators. Whether you're building a property valuation model, running an investment fund, or operating a PropTech platform, you need clean, structured, and fresh listing data — and manual collection simply doesn't scale.
A comprehensive real estate scraping pipeline captures the full listing profile:
We scrape property data from a wide range of sources depending on the target market:
Many portals display listings on an interactive map rather than a paginated list. Scraping these requires intercepting the API calls that load listing clusters as the user pans and zooms. We systematically cover the entire geographic area by dividing it into grid cells and requesting each one.
The same property often appears on multiple portals with slightly different data. We use address normalization and fuzzy matching to deduplicate listings and merge the most complete data from each source into a single canonical record.
Sold properties sometimes remain listed for weeks. Our pipeline cross-references listing status across multiple sources and tracks status changes over time to flag stale data.
Property images are critical for many use cases (especially computer vision applications like automated property condition assessment). We download and store high-resolution images in cloud storage with metadata linking them to the parent listing.
We provide the training data for machine learning models that estimate property values. Fresh comparable sales data, active listing prices, and neighborhood statistics feed into regression models that produce instant valuations.
Real estate investment firms use our data to identify undervalued properties by comparing listing prices against our computed fair market value. We also track rental listings to compute rental yield and cap rate estimates.
Custom dashboards that display median prices, days on market, inventory levels, and price trends by neighborhood. Updated daily, these give brokerages and developers a clear picture of market dynamics.
We help real estate tech companies identify properties likely to be listed soon by tracking price reductions, expired listings, FSBO postings, and pre-foreclosure filings.
Real estate data is delivered in your preferred format:
Building a PropTech product or need structured property data? Get a free sample dataset for your target market.
Tell us what you need to scrape. We'll deliver a free sample dataset within 48 hours — no commitment, no credit card.