You give us the coverage: towns, postcode districts, a search radius, or the whole country. We build the SpareRoom scraper, run it on the cadence you choose and deliver CSV, JSON, XLSX or an API endpoint. The schema stays stable between runs, so your load step does not need rewriting when the site changes its markup.
Search results are capped, so wide areas have to be split into slices small enough to enumerate in full. We handle that partitioning, deduplicate on ad reference across overlapping slices, and carry first-seen and last-seen dates so you receive a time series rather than a single snapshot. Rent arrives normalised to one period alongside the value exactly as published.
A SpareRoom advert is unusually field-rich, because the site asks the advertiser to describe the household as well as the room. On the offered side we read the advert body and the structured blocks below it.
On the wanted side the record changes shape. There we take the total budget with its period, the room type sought, the area being searched, the move-in date, minimum and maximum term and the preferred amenities. Every row is tagged with the side it came from, and the two can ship as separate files so nothing merges by accident.
SpareRoom advertisers are private individuals rather than companies. An advert shows a first name, often a photograph, a last-active time and a link to a profile. The household blocks can carry age, gender, occupation, language, smoking and pet details, and the preference fields can state a wanted age range or a gender preference. Some of that is sensitive, and on the wanted side the advert is close to a personal profile in itself.
Our default output is listing and commercial data. Names, photographs, profile links and contact routes are excluded by default rather than on request, and we do not build person-level records or join adverts into profiles of individuals. Where free-text description carries personal detail we can redact it or drop the field. Personal data in the UK and the EU falls under the GDPR; we state that as a fact and leave the assessment of your intended use to you and your counsel.
On gating: contacting an advertiser requires an account, and new free adverts under seven days old are reserved for the site's paid Early Bird upgrade for contact purposes. We do not sign in, we do not buy an upgrade, and we do not collect anything sitting behind either. We take what a visitor sees on a public advert page and nothing more.
SpareRoom is a UK flatshare site operated by Flatshare Ltd. The unit of inventory is a room inside a home somebody already lives in, so a three-bedroom flat can appear as three separate adverts with three rents, three availability dates and one shared household behind them. That is a different record shape from a whole-property portal, and it is why a rent series built from flat listings cannot answer questions about room level supply.
The site runs two sides of the same market, and both are searchable inventory. Under /flatshare/ the search is set to Rooms for Rent and returns supply: a room somebody is offering. Under /flatmate/ the same search is set to Rooms Wanted and returns demand: a person describing the room they are looking for and the budget they will pay. A third mode, Buddy ups, covers people who want to move in together. The two sides carry different fields and must not be pooled into one table, because a wanted advert states a budget, not a rent.
Adverts are written by private individuals. Some are current flatmates filling a room in their own home, some are live in landlords taking a lodger, and some are live out landlords or agents. That role sits on the advert itself and it changes what the record means.
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
Room level rent is not derivable from whole-property rent. A room prices against the household it sits in, and one postcode district can hold a single room with bills included and an en suite double without them. Teams working on co-living, build to rent, HMO investment and student housing use SpareRoom rent as the shared market benchmark, and it is the number that moves when a landlord decides whether to let a house whole or by the room.
The wanted side is the part most buyers underuse. Each Rooms Wanted advert is a stated budget, a stated area and a stated move date. Read against the offered stock in the same area, it shows where demand runs ahead of supply and at what price, which a supply-only source cannot tell you.
Timing matters here more than on a sales portal. Rooms turn over on academic terms and job start dates, so supply and asking rent both shift through the year. SpareRoom publishes a quarterly Rental Index down to region, inner London postcode area and individual towns, but that is an aggregate. Your own cuts, by room type, by bills-included status, by household size or by advertiser role, need the underlying adverts, which is what scraping SpareRoom provides.
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 is a managed web scraping agency. We build the crawler, run it, monitor it and repair it when a site changes its layout, and you receive data rather than code. There is nothing to host and no library to maintain on your side.
Tell us the areas, the fields and the delivery format you need. We will confirm what is publicly available, what we will not collect, and send a sample before anything goes on a schedule.
No. SpareRoom does not publish a documented public API for third parties. An internal endpoint exists at /flatshare/api.pl, which returns a JSON error to an unauthenticated request and is disallowed for general crawlers in the site's robots.txt, so it is not a route we use. The SpareRoom data we supply is read from public advert and search pages, and we deliver it to you as CSV, JSON, XLSX or an API that we host.
Yes, and it is the default. The two sides sit in different sections of the site, and a listing URL is not a reliable signal of which side an advert belongs to: the town and area in the path are cosmetic, so a URL under the rooms-for-rent path can open a rooms-wanted advert. We resolve the side from the advert content itself, tag every row with it, and ship the two as separate files if you prefer.
A single search returns at most 1000 adverts, ten per page, however many actually match. Measured on 31 August 2026, the London rooms-for-rent search reported 13453 matching adverts and the rooms-wanted search reported 11011, so both were well past what one query can return. We split wide areas into postcode-level or radius-level slices, run them separately and deduplicate on ad reference to reach full coverage. Counts move daily, so treat any figure as measured on a stated date.
No. Advertisers are private individuals, and the output is limited to listing and commercial data. First names, photographs, profile links and contact routes are excluded by default rather than on request, and we do not assemble person-level records. Contacting an advertiser needs an account and, for recent free adverts, a paid upgrade. We use neither, and we do not collect anything that requires them.
SpareRoom keeps old adverts reachable at their URLs instead of deleting them, and marks an inactive one with a line stating that the advertiser is not currently accepting applications. Adverts also drop out of the live listings when the advertiser stops renewing them. We record first-seen and last-seen dates against each ad reference and carry the status flag, so you can measure how long a room stayed on the market rather than only seeing what is live today.
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
