Web Scraping Real Estate Data at Property Scale

Web scraping real estate data is the automated extraction of structured property information from online listing portals, builder websites, and real estate aggregators. This includes property prices, listing details, location data, agent contacts, builder project information, and market trend signals — delivered as clean datasets for analysis, investment research, or proptech product development.

Real estate data extraction refers to the process of collecting and structuring property data from websites and online platforms — including sale and rental listings, agent directories, new project pages, and market reports. The extracted data is normalized, validated, and delivered in structured formats such as CSV, JSON, or via API for integration into valuation models, CRMs, or research tools.

We support 150+ real estate portals including India's major platforms (MagicBricks, 99acres, Housing.com, NoBroker, PropTiger), US portals (Zillow, Realtor.com, Redfin, Trulia), UK platforms (Rightmove, Zoopla), UAE portals (Bayut, Property Finder), Australian sites (Domain, realestate.com.au), and Southeast Asian portals (PropertyGuru, iProperty, Lamudi). If your target site is not on our list, we build a custom extractor within 3–5 business days.

Extracting publicly accessible listing data — property details visible to any visitor without logging in — is generally considered lawful, consistent with court precedents including hiQ v. LinkedIn (9th Circuit, 2022). Our approach targets only public-facing property listings and does not access private user accounts, contact details hidden behind logins, or any personal data. We advise all clients to seek independent legal counsel for jurisdiction-specific guidance, particularly regarding contact data usage in CRM applications.

Refresh frequency depends on your use case. Investment monitoring and AVM inputs typically require daily or weekly updates to capture new listings, price changes, and de-listings. Market research projects may need only monthly or quarterly snapshots. We support flexible refresh schedules from daily to monthly and can configure different cadences for different data types within the same project.

We deliver data in CSV, JSON, Excel (XLSX), and GeoJSON (for map-ready location data) formats. For continuous data needs, we offer a live real estate data API endpoint, cloud storage delivery via Amazon S3 or SFTP, and webhook integration into your CRM or data warehouse. We also support custom schema mapping to match your existing data structure.

Yes. Where RERA numbers are publicly listed on property portals or builder microsites, our real estate scraping extractors capture this field as part of the new project dataset. This includes project registration number, possession date, approvals status, and developer credentials as displayed on the source platform. We do not access RERA authority backend systems — only publicly visible information on listing pages.

Our web scraping real estate data services can extract a wide range of property attributes, including property title, price, address, location coordinates, property type, built-up area, plot size, bedroom and bathroom count, amenities, listing descriptions, image URLs, builder details, agent information, project status, RERA registration numbers, rental yields, and listing timestamps. Data fields can be customized based on your business requirements and target websites.

Yes. Our real estate data extraction solutions support both rental and sale property listings across residential, commercial, and land categories. We can collect listing prices, rent values, availability status, property specifications, agent details, and listing history, enabling clients to analyze rental markets, monitor housing inventory, track price movements, and build real estate investment or valuation models.

Yes. In addition to one-time data extraction projects, we provide real estate data APIs that deliver continuously updated property listings, pricing information, and market data. We also support historical property data collection and archiving, allowing clients to analyze long-term pricing trends, housing market movements, inventory changes, and property appreciation patterns for research, investment, and analytics applications.