Rentola gathers long-term rentals from hundreds of property websites on 36 country sites. Our Rentola scraper collects everything visible without a subscription.
Plans from €169/month · Free project assessment · Reply within 1 business day
Rentola is a set of country sites over one shared layout, so a project begins with a list: which domains, which cities or regions, which of the five property types. We build the crawler for that list, run it and repair it when a page changes; nothing is installed on your side. Pacing, proxy rotation and rendering are handled by us.
One boundary is fixed. Rentola lets anyone read a listing but asks for a paid subscription before a landlord can be contacted. We never go behind a paywall, so the dataset holds what a visitor sees without subscribing. Delivery is CSV, Excel (XLSX), JSON or JSONLines by SFTP, Amazon S3 or e-mail, once or on a daily or weekly schedule, with field documentation. Begin with a free project assessment, or order a sample first.
A Rentola listing address ends in a short code of letters and digits after the slug. The code is the same on rentola.com and on the national domain, so we use it as the row key. The fields below are the ones the listing page gives to any visitor:
Landlord names, phone numbers and e-mail addresses are not in the dataset: they are reserved for subscribers, and they are personal data.
The listing page is one layer. The pages above it carry figures of their own.
One pass shows only what is on offer that day. Repeated runs give every home a first-seen and a last-seen date, the rent changes in between, and a count of days listed.
Rentola belongs to Reva Group and gives a Copenhagen address in its footer. It describes itself as one search over the whole rental market: most of what it shows is gathered from hundreds of other property websites, and part is placed on it by landlords themselves and carries the Rentola Direct badge.
The audience is tenants looking for a long-term home. Rentola says it operates in 36 countries, and the list of national domains at the foot of rentola.com agrees - rentola.co.uk, rentola.de, rentola.nl, rentola.fr, rentola.es, rentola.it and the rest, from Norway to Singapore, with Sweden running under the name Bostadslistan. The global site also counts homes in countries missing from that list, Japan, Thailand and Hong Kong among them.
Wording shifts with the market - apartments on rentola.com are flats on the British site, and student apartments become student housing on the Dutch one - but the page layout and the five property types are the same everywhere: houses, apartments, rooms, studios and student apartments. Reading is free; contacting a landlord takes a paid subscription.
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
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Rentola is useful to analysts for the reason tenants use it: one layout laid over many markets and many original sources.
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.”
Six jobs that scraped property data does, each backed by a ScrapeIt project: seller leads, listing monitoring, image datasets, weekly market supply, sold records and unit-level rentals. For every use case - the fields it needs and how often to refresh them.
ScrapeIt builds, runs and repairs crawlers as a managed service and hands over the dataset together with a description of every field. Aggregators such as Rentola take extra care, because one home can surface on several domains and in several languages; we bring currencies, rent periods and property types into one schema before delivery.
Personal data is handled under GDPR, landlord names and contacts are left out by default, and we do not compile dossiers on people.
Rentola is part of a daily run we operate for a European real estate portal that tracks five sites at once: rentola.com, rentberry.com, funda.nl, pararius.com and zimmo.be. About 230,000 rows a day arrive in one schema, and the project was running three weeks after it was commissioned.
Yes. The ScrapeIt Rentola API returns listing code, country site, property type, monthly rent, size, rooms, address and date posted as JSON from an endpoint we host, refreshed on the schedule you set. The same rows are also available as CSV or Excel files, as a JSON feed or loaded into your database.
Yes. Rent, size, rooms, address, description and photos of every listing are shown to visitors who have neither an account nor a subscription. We collect only publicly available data - everything a visitor can see on Rentola - and we collect it legally.
Yes. Each national domain is crawled separately, in its own language and currency, and the rows are merged into one table with a column for the site they came from. Rents stay in the original currency, with the currency code in a column of its own.
No. Rentola shows contact details only to paying subscribers, and we never go behind a paywall or log in. The dataset carries everything else on the listing page, including the Rentola Direct badge that marks an advert placed by the owner and the Verified by Rentola mark.
As often as you schedule it. New adverts arrive around the clock - every city page reports its additions for the last 24 hours - so tracking supply or days listed calls for a daily run. For a market overview, a weekly pass over the same cities is enough.
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.
Rentola data from €169/month. Free project assessment, reply within 1 business day.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
