Pull rental listings directly from OpenRent - already structured and filtered for you. We provide detailed housing data including rent prices, locations, and property details across the UK’s most landlord-focused rental platform.
Plans from €169/month · Free project assessment · Reply within 1 business day
Forget about scrolling through listings or exporting search results manually. With ScrapeIt, you get a custom-built solution that collects OpenRent data based on your exact needs - city, rent range, property type, or any other filter. We handle the technical side, parse each listing for consistency, and send you a clean, structured dataset that's ready to plug into your tools or workflow.
From each OpenRent listing, our OpenRent scraper collects key rental data: full address with postcode, monthly rent in GBP, number of bedrooms and bathrooms, availability date, and letting type. We also extract deposit amounts, EPC ratings, listing descriptions, and landlord preferences - such as pets allowed, bills included, or student-friendly. All fields are standardized for accurate filtering, comparison, or analysis.
OpenRent reveals more than just rental prices. When we scrape OpenRent data, we capture indicators like "Rent Now" usage, landlord verification badges, average listing duration, and whether properties offer virtual viewings. Details like council tax bands, deposit alternatives, or energy suppliers (when listed) add depth to each dataset - helping you understand not just what's available, but how the rental experience is structured.
OpenRent is the UK's most widely used platform for private residential rentals, offering a fully digital alternative to traditional letting agents. Since its launch in 2012, it has grown to support over 7 million users and facilitates more than 1.5 million tenancies annually. Operating in English and priced in GBP, openrent.co.uk covers the entire UK market - from central London flats to cottages in rural Wales and Scotland's northern towns.
The platform stands out for its landlord-first approach: owners can list properties without agency fees, while tenants enjoy low-cost applications and direct communication with landlords. OpenRent also offers tenant referencing, automated rent collection, tenancy agreements, and the ability to syndicate listings to major sites like Rightmove and Zoopla.
It's especially popular with students, first-time landlords, and young professionals, thanks to its mobile-friendly interface, verified listings, and the optional Rent Now system, which enables secure, end-to-end digital tenancy creation.
Beyond just listings, OpenRent provides performance analytics, instant relisting tools, and visibility tracking, making it ideal for investors, landlords, and build-to-rent operators who want fast, transparent tenant placement with full control.
Get a Quote
Developers
Customers worldwide
Pages extracted
Hours saved for our clients
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
OpenRent stands apart from agency-heavy portals - it's the UK's largest platform for private rentals, offering a clearer view of landlord behavior and real tenant trends. With a purpose-built OpenRent scraper, you get structured rental data that cuts through the noise: accurate prices, availability dates, turnover rates, and more. It's an essential asset for buy-to-let analysis, pricing algorithms, or building rental apps grounded in real market behavior.
Monitoring of real estate listings on funda.nl, pararius.com, rentberry.com, rentola.com, and zimmo.be to support the growth of a European property portal.
Learn More
Daily detection of new private property listings in Switzerland on Homegate.ch and ImmoScout24.ch, giving the agency first access to high-value leads.
Learn More
Scraping residential listings from Immobilienscout24.de in Germany and Mallorca, including complete data and resized images.
Learn MoreLearn how to use web scraping to solve data problems for your organization
Real estate teams work in a fragmented data landscape. The sites that drive demand in Boston look nothing like the ones that matter in Berlin, São Paulo, Dubai, or Mumbai.
Real estate teams are operating in a data environment that is bigger, faster, and more fragmented than ever. Listings go live and disappear in hours, price cuts happen quietly, and the portals that matter most in each country are rarely the same global “top 5.”
Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping
ScrapeIt isn't another app or plugin - it's a done-for-you service. We scrape OpenRent data based on your filters and goals, extracting exactly the property insights you need. Whether you're tracking rental prices, monitoring specific areas, or collecting listings for integration, we take care of the entire scraping process. No guesswork, no interfaces - just accurate data delivered in the format you choose.
Yes - we can target your dataset to any city, region, or postcode area covered by OpenRent.
We extract availability dates, tenancy type, monthly rent, deposit, and other specifics depending on what's shown in each listing.
Yes - we capture these conditions when available, along with other listing preferences like bills included or furnished/unfurnished.
You choose the format (CSV, JSON, Excel), and we deliver it on a schedule that works for you - once, daily, weekly, or something custom.
Yes. The ScrapeIt OpenRent API returns full address with postcode, monthly rent in GBP, bedrooms, availability date and deposit as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files or straight into your database, with previous listings and rent changes kept on repeat runs.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
