Kamernet Scraper

Scrape Kamernet data through ScrapeIt — get structured rental listings from across the Netherlands, filtered and ready to deploy.

Kamernet Scraper
Solutions

How We Extract Rental Data from Kamernet

Kamernet wasn’t built with data export in mind — but that’s where we come in. We create a custom extractor that pulls exactly what you need: rooms, studios, shared flats, or full apartments. You don’t have to deal with the platform itself — we handle the extraction, formatting, and delivery. The final dataset is filtered, clean, and fully compatible with your system, whether you're tracking listings across Dutch cities or building your own rental Database.

What We Extract with the Kamernet Scraper

The Kamernet scraper extracts and structures every listing, providing consistent data for comparison, filtering, or integration. From each offer, we gather detailed rental information — type of space (room, studio, apartment), full address with postal code, rent in euros, deposit, availability date, and minimum rental period. We also include listing descriptions, furnished status, surface area, number of housemates (if applicable), and details about the landlord or advertiser.

What We Extract with the Kamernet Scraper
What Kamernet Reveals Beneath the Surface

What Kamernet Reveals Beneath the Surface

Kamernet listings often contain subtle but valuable context. When we scrape Kamernet data, we extract user type (landlord, tenant, agency), listing visibility (public or profile-restricted), and tags like “available now” or “only for students.” Many ads also feature social details — such as preferred roommate age or gender — and extra criteria like registration possibilities or smoking rules. These overlooked details help you segment listings more precisely and build a dataset tailored to specific rental profiles or policies.

What Makes Kamernet Stand Out

Kamernet is the Netherlands’ most trusted rental platform for students, expats, and young professionals. Live since 2000, it focuses on rooms, studios, and shared apartments, especially in cities like Amsterdam, Rotterdam, Utrecht, and Leiden. The platform — available at kamernet.nl — operates in Dutch, with all prices listed in euros (EUR).

With over 7,000 new listings per month, Kamernet helps thousands find housing — including more than 2,600 successful tenant matches monthly. Listings come from a mix of private landlords and verified advertisers, clearly labeled with a trust badge. A combination of manual and automated screening helps ensure quality and reduce fraudulent posts.

Beyond standard search, Kamernet offers a full-featured experience: users can create roommate profiles, receive real-time alerts, access landlord dashboards, and even participate in virtual viewings. Search filters include lifestyle preferences, making the platform ideal for mobile, community-driven rental scenarios — whether you're new to the Netherlands or switching cities for university or work.

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 Scrape Kamernet? A Kamernet Scraper Gives You Structured Results

Kamernet scraper isn’t just about pulling listings — it unlocks the fastest-moving segment of the Dutch rental market, especially for student and mid-term housing. Scraping Kamernet gives you access to one of the most fluid and dynamic housing ecosystems in the Netherlands. You can track how often listings appear in certain cities, monitor average rental periods, or analyze which types of rooms are in highest demand. Whether you’re mapping housing supply across regions or building a lead generation engine for your platform, structured data from Kamernet helps you act on trends as they happen.

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About ScrapeIt

At ScrapeIt, we focus on turning complex real estate websites into simple, usable datasets — with zero effort on your side. For platforms like Kamernet, we build tailored scrapers that match your exact needs: location, property type, availability window, or advertiser type. Whether you're looking to scrape Kamernet data for research, aggregation, or internal analysis — we deliver it clean, organized, and ready to plug into your systems or tools.

FAQ

Will I get access to details like furnishing, roommates, and availability?

Yes — we include all visible features from the listing, such as whether the room is furnished, how many people live there, and when it's available.

Can the scraper access listings that are only visible to logged-in users?

Depending on your needs, yes. In most cases we can configure the setup to navigate login walls or member-only listings.

Do you include information about who posted the listing?

If it’s shown, we capture advertiser type (private owner or agency), profile description, and verification status.

How often can the data be updated?

That’s entirely up to you. We can set up daily syncs, weekly refreshes, or run it on a fixed schedule.

Can I choose specific cities or regions within the Netherlands?

Absolutely. Whether you're targeting Amsterdam, Groningen, or smaller towns, we’ll filter the listings accordingly.

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.

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Tell us more about you and your project information.
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