Funda Scraper

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.

Funda Scraper
Solutions

Custom Funda Data Delivered

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.

What We Extract from Funda

Using our Funda scraper, we collect key property information from across the Netherlands. The dataset includes:

  • Full address and ZIP code — covering all listings, including cities and provinces
  • Price in euros and listing status (for sale, sold, rented, or removed)
  • Property type: apartment, house, new development, and more
  • Number of rooms, bathrooms, and total living area
  • Balcony, garden, parking, or terrace availability
  • Detailed description and property photos
  • Date listed, time on market, and update history

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.

What We Extract from Funda
What Else the Funda Scraper Can Collect

What Else the Funda Scraper Can Collect

Beyond core property details, we can extract additional layers of information that are especially useful for evaluating listings and analyzing locations:

  • Price change history — including increases, reductions, and the date of the last adjustment
  • Agent or agency profile — name, logo, and contact structure
  • Energy efficiency info — if available (label, insulation, heating type)
  • Floor plans in PDF or image format (when included in the listing)
  • Land ownership type — private or leasehold (erfpacht), with conditions explained
  • Links to nearby or similar properties
  • Parking availability and permit requirements

These details help you better understand not just the property, but also its legal, technical, and market context.

About Funda

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.

Get a Quote
dev_w

25

Developers

customers

90

Customers

pages

60 000 000

Pages extracted

stime

3500

Hours saved for our clients

Plans

Web Scraping Plans & Pricing

Customized plans that grow with your data needs.

Airplane

€199 / one-time

setup fee — included

Data limits100,000
Frequencyone-time
Run timeup to 5 days
Data storing7 days

Helicopter

€169 / mo

setup fee €499

Data limits250,000
Frequencymonthly
Run timeup to 5 days
Data storing14 days

Glasses

€229 / mo

setup fee €499

Data limits1,000,000
Frequencyweekly
Run timeup to 5 days
Data storing30 days

DNA

€549 / mo

setup fee €799

Data limits3,000,000
Frequency3 times daily
Run timesame day
Data storing90 days

Why Use a Funda Scraper for Your Business?

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:

  • Track price trends across specific cities and provinces
  • Populate your own property catalogs with verified information
  • Analyze supply and demand by region
  • Segment listings by features and conditions
  • Automate property recommendations and ranking

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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About ScrapeIt

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.

FAQ

Can I request data only for a specific city or ZIP code?

Yes. We can filter listings by city, region, or ZIP code to deliver exactly the segment you need.

Do you provide listing updates or only one-time exports?

We offer both. You can get a one-time dataset or set up a schedule for regular updates — weekly, monthly, or custom.

Can reviews or user feedback from agents be extracted too?

If present on the listing or agency profile, yes — we can include reviews, ratings, and related context in your export.

What if I need both residential and commercial listings?

No problem. We can collect and separate both types, giving you a full overview of the Dutch property market.

How does it Work?

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.

Request a Quote

Tell us more about you and your project information.
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Scrapeit Sp. z o.o.
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