Huurwoningen.nl Scraper
Pricing
$35.00/month + usage
Huurwoningen.nl Scraper
Scrape Huurwoningen.nl (Netherlands) rental listings – apartments and houses – with this Dutch real estate web scraper for rental price tracking, market research, lead generation and housing analytics.
Pricing
$35.00/month + usage
Rating
5.0
(1)
Developer

Lexis Solutions
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
4 days ago
Last modified
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Huurwoningen (huurwoningen.nl) is a Dutch rental marketplace with listings across the Netherlands. This actor collects listing data and rental property detail data from Huurwoningen search pages and detail pages.
Introduction
The Huurwoningen.nl scraper starts from listing/search URLs or detail URLs, crawls listing pages, opens property detail pages, and extracts structured rental data such as price, location, rooms, floor size, availability, energy label, and more.
Use Cases
- Market research: Track rental prices, inventory, and housing characteristics by city or neighborhood.
- Lead generation: Collect structured rental data for sales, enrichment, or agency pipelines.
- Monitoring: Watch new and updated listings for selected search filters.
- Analytics pipelines: Feed BI tools, dashboards, and internal warehousing.
Input
Provide the following fields:
startUrls(array, required): Huurwoningen listing/search or detail URLs.maxItems(integer, required): Maximum number of detail listings to extract per start URL.proxyConfiguration(object, optional): Apify proxy settings.
Notes:
- If a
startUrlis a listing URL, the actor crawls listing pages and enqueues detail pages. - If a
startUrlis a detail URL, the actor extracts that detail directly. - Crawling stops per source URL when
maxItemsis reached.
Input Examples
1) Start URLs
{"startUrls": [{"url": "https://www.huurwoningen.nl/in/amsterdam/"},{"url": "https://www.huurwoningen.nl/huren/amsterdam/afc52cea/stadionweg/"}],"maxItems": 10,"proxyConfiguration": {"useApifyProxy": true}}
Output
Each dataset item contains fields like:
{"url": "https://www.huurwoningen.nl/huren/amsterdam/afc52cea/stadionweg/","id": "afc52cea","listingUuid": "afc52cea-3e99-5b6b-bf4a-b69d82a223d6","title": "Appartement Stadionweg in Amsterdam","location": "1077 RW (Apollobuurt)","price": 2925,"priceDetail": "EUR 2.925 per maand","currency": "EUR","rooms": 6,"bedrooms": 5,"bathrooms": 1,"floorSizeM2": 142,"availableFrom": "2026-02-23","offeredSince": "23-02-2026","status": "Te huur","energyLabel": "G","constructionYear": 1931,"imageCount": 1,"specs": {"huurprijs": "EUR 2.925 per maand","aantal kamers": "6","aantal slaapkamers": "5"}}
The scraper paginates through listing results and stops when maxItems is reached per start URL or when no more result links are found.
Why use the Huurwoningen.nl Scraper?
- Focused: Built specifically for Huurwoningen listing and detail flows.
- Structured output: Ready-to-use JSON records for automation and analysis.
- Per-URL limits:
maxItemsis enforced per start URL. - Flexible input: Supports listing URLs and direct detail URLs.
- Apify-native: Works with Apify datasets, request queue, and proxy config.
FAQ
-
How many listings can it extract?
Controlled bymaxItemsper source URL. -
Do I need proxies?
Not always, but proxies are recommended for larger runs and stability. -
Can I start from a listing detail URL?
Yes. Detail URLs are supported directly instartUrls. -
What if Huurwoningen changes their page structure?
The actor may require updates to selectors/field parsing.
Need to scrape other real estate platforms?
Check out our other real estate scrapers:
- Svenskfast (Sweden)
- Hemnet (Sweden)
- Boligsiden (Denmark)
- Booli (Sweden)
- Flatfox (Switzerland)
- Nybolig (Denmark)
- Immonet (Germany)
- Immovlan (Belgium)
- Immoscoop (Belgium)
- Immobilier (Switzerland)
- Pararius (Netherlands)
- SeLoger (France)
- OpenRent (UK)
- PrimeLocation (UK)
- Redfin (USA)
- Sherry FitzGerald (Ireland)
- Trovacasa (Italy)
- Pisos.com (Spain)
- Pisos Mitula (Spain)
Need help or want a custom solution?
Lexis Solutions is a certified Apify Partner. We can help with custom data extraction projects.
Contact us over Email or LinkedIn
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Image Credit
Image credit: huurwoningen.nl