Funda is the leading real estate platform in the Netherlands, recognized by 97% of local residents. We collect data from this source — from house prices in Amsterdam to apartment details in smaller towns.
With our Funda scraper service, you get a clear picture of the market: what’s available, where it is, and how much it costs. Perfect for building NL-focused products, analyzing neighborhoods, or automating property collection based on your criteria.
We don’t offer complex tools — there’s no need to learn APIs or run parsers. We simply scrape Funda data and deliver exactly what you need in CSV, Excel, or JSON.
Think of us as your personal extractor for the Netherlands or any specific region. Need only apartments in Rotterdam or villas with gardens in Utrecht? We filter, structure, and return just the data that matters to you — without technical hassle.
Using our Funda scraper, we collect key property information from across the Netherlands. The dataset includes:
These fields provide a clear overview of each property — from essential details to visual presentation. Ideal for analysis, real estate catalogs, filters, and region- or ZIP-level evaluation.
Beyond core property details, we can extract additional layers of information that are especially useful for evaluating listings and analyzing locations:
These details help you better understand not just the property, but also its legal, technical, and market context.
Funda is the largest real estate portal in the Netherlands, founded in 2001. It operates in partnership with NVM — the country’s largest association of real estate agents — and serves homeowners, renters, agents, and developers.
Accessible via funda.nl, the platform covers residential sales and rentals, new developments, and commercial properties. It is available in Dutch, with an English-language version accessible via the /en/ section.
The site receives 4.6 million unique visitors each month and has a brand awareness of 97%. Users search listings by ZIP code, region, and property type. Data is updated daily. What sets Funda apart is its high level of listing detail — including energy labels, ownership type, floor plans, and legal information — making it a key source for anyone working with the Dutch housing market.
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Developers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Funda — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
Funda data is especially valuable if you’re working within the Dutch housing market. The platform doesn’t just display listings — it offers a full picture, from legal status to publication history.
When you scrape Funda data, you can:
Funda provides uniquely detailed and structured data that’s hard to access elsewhere. Scraping it is the most efficient way to get what you need — without manual effort and without missing critical context.
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ScrapeIt is a data parsing company that transforms raw web content into clean, structured information ready for use. We don’t provide tools or require API access — we handle the entire process and deliver the data in CSV, Excel, or JSON formats.
Our team has experience with platforms in e-commerce, real estate, rentals, and marketplaces. We collect any volume of information and tailor our services to your needs — whether it’s a one-time export or ongoing database updates.
Yes. We can filter listings by city, region, or ZIP code to deliver exactly the segment you need.
We offer both. You can get a one-time dataset or set up a schedule for regular updates — weekly, monthly, or custom.
If present on the listing or agency profile, yes — we can include reviews, ratings, and related context in your export.
No problem. We can collect and separate both types, giving you a full overview of the Dutch property market.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
