Rentberry is one rental site for many countries, each listing with a Monthly Price and often a Deposit. Our Rentberry scraper collects both for the cities you name.
Plans from €169/month · Free project assessment · Reply within 1 business day
You name the scope - countries, cities, property types, and whether sale listings belong in it - and we build the crawler around the way Rentberry is laid out: a directory per country, a city search for each of seven rental types, and a listing page behind every card. We run it, watch it and repair it when the markup moves. Rentberry answers unfamiliar traffic with a refusal, so proxy rotation, request pacing, page rendering and CAPTCHA handling are our job, not a problem handed to you.
Work starts with a free project assessment, and a sample can be ordered before the full run. Results arrive as CSV, Excel (XLSX) or JSON, or through our API, one-off or on a daily or weekly schedule, with documentation for every field. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
Every Rentberry listing has a numeric id. It opens the listing address and is repeated after a hash sign in the page title, which makes it the natural key for every later comparison. Around that id we build one row per listing:
Each listing page also carries a block of facts about the address - parking, schools, parks, grocery stores and transit stops nearby - which we add as extra columns when location context matters to you.
A card is the smallest unit on the site, not the only one. Four other layers are worth collecting.
Run the same scope every day or every week and the rows turn into a rent history: the first price, each change, the day a home stopped appearing, and its time on market counted from the listed date.
Rentberry is a rental platform run from San Francisco. Its front page promises apartments for rent worldwide, and it is one site, not a family of country domains: a home in the United States sits directly under its property type, while everything else gains a two-letter country prefix, so Berlin is found under /de/ and Manchester under /gb/. Prices stay in the local currency and sizes in the local unit.
Inventory is split by property type before it is split by place. Apartments, houses, condos, townhouses, rooms, duplexes and lofts each have a section and city searches of their own, and a Rent or Buy switch on the front page doubles most of them with homes for sale.
What Rentberry adds to the listing is the transaction. Tenants apply online, book a tour from a calendar on the listing page, sign the lease electronically and pay rent through the site. It also runs custom offers: an applicant may propose more or less than the asking rent and see what other applicants have offered. All of that takes place inside member accounts. What a visitor sees, and what a dataset is built from, is the asking side - the Monthly Price, the Deposit and everything the landlord published about the home.
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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 →Most rental sites stop at a border. Rentberry does not, and that is the reason to collect it: the same fields in the same layout for Chicago, Berlin, Seoul and Cape Town.
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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 is a managed data extraction service: we build the crawlers, run them and repair them, and you receive the dataset. Rental platforms are a regular part of that work, and Rentberry is a demanding example - one site, many countries, and rents quoted in the local currency of each listing.
We collect what the platform shows to a visitor who is not signed in, handle personal data under GDPR, and do not sell contact lists of landlords or tenants.
We know Rentberry from production work: a European property portal commissioned daily monitoring of five listing sites - Rentberry, funda.nl, pararius.com, rentola.com and zimmo.be. It took three weeks from brief to a running pipeline, and it delivers roughly 230,000 rows a day in a single common format.
Yes. The ScrapeIt Rentberry API returns listing id, address, property type, Monthly Price, Deposit, bedrooms, floor area and listed date as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files, a JSON feed or straight into your database.
Yes. Listings, asking rents, deposits, amenities and the country and state directories are open to any visitor without an account. We collect only publicly available data - everything a visitor can see on Rentberry - and we collect it legally.
Yes. Scope is set by country, state, city, neighbourhood or a list of postcodes, and by property type within each - apartments only, or all seven types. Every row carries its country code and currency, so a file that mixes Chicago and Berlin can still be filtered and compared.
It depends on what you measure. Listings come and go every day and the views counter moves with them, so price tracking and time-on-market work need a daily run, while the directory totals and the median price tables change slowly and are fine weekly. Each run is dated, and the changes between runs become a rent history per listing id.
No. Custom offers are exchanged inside member accounts, and contact details are not printed on the open page - we never log in. You receive the asking side of every listing: Monthly Price, Deposit, and the property manager's name where it is a company.
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.
Rentberry data from €169/month. Free project assessment, reply within 1 business day.
Scrapeit Sp. z o.o.
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