Funda Scraper

Scrape real estate listings from Funda.nl — the Netherlands' largest property portal with 93% brand awareness. No login or cookies required.

Why use this actor?

Real estate investors, analysts, and proptech companies need reliable Dutch property data. This actor extracts structured listing data from Funda including prices, addresses, property specs, energy labels, and agent info — ready for market analysis, price comparison, or portfolio monitoring.

Input

Field	Type	Required	Description
listingType	String	No	koop (buy, default) or huur (rent)
city	String	No	City name in Dutch (e.g. amsterdam, rotterdam)
query	String	No	Free text search (street, neighborhood)
propertyType	String	No	house, apartment, parking, or land
minPrice	Integer	No	Minimum price in EUR
maxPrice	Integer	No	Maximum price in EUR
minSurface	Integer	No	Minimum living area in m2
maxSurface	Integer	No	Maximum living area in m2
maxResults	Integer	No	Maximum results to return (default: 100)
proxyConfiguration	Object	No	Proxy settings (residential proxy recommended)

Output

Each result contains:

Field	Type	Example
title	String	"Keizersgracht 100"
price	Number	695000
currency	String	"EUR"
listingType	String	"sale" or "rent"
propertyType	String	"appartement"
address	String	"Keizersgracht 100"
city	String	"Amsterdam"
postalCode	String	"1015 AA"
latitude	Number	52.3676
longitude	Number	4.8846
bedrooms	Number	3
bathrooms	Number	1
surface	Number	95
landSurface	Number	null
buildYear	Number	1875
energyLabel	String	"C"
sellerName	String	"Broersma Makelaardij"
sellerUrl	String	Agent profile URL
imageUrl	String	Primary listing photo URL
imageUrls	Array	All listing photo URLs
url	String	Full listing URL on Funda
scrapedAt	String	"2026-04-06T12:00:00.000Z"

Example output

{
    "title": "Keizersgracht 100",
    "price": 695000,
    "currency": "EUR",
    "listingType": "sale",
    "propertyType": "appartement",
    "address": "Keizersgracht 100",
    "city": "Amsterdam",
    "postalCode": "1015 AA",
    "latitude": 52.3676,
    "longitude": 4.8846,
    "bedrooms": 3,
    "bathrooms": 1,
    "surface": 95,
    "landSurface": null,
    "buildYear": 1875,
    "energyLabel": "C",
    "sellerName": "Broersma Makelaardij",
    "sellerUrl": "https://www.funda.nl/makelaars/amsterdam/12345/",
    "imageUrl": "https://cloud.funda.nl/valentina_media/12345.jpg",
    "imageUrls": [
        "https://cloud.funda.nl/valentina_media/12345.jpg",
        "https://cloud.funda.nl/valentina_media/12346.jpg"
    ],
    "url": "https://www.funda.nl/detail/koop/amsterdam/appartement-keizersgracht-100/12345/",
    "scrapedAt": "2026-04-06T12:00:00.000Z"
}

Cost estimate

This actor uses PlaywrightCrawler with residential proxy due to Funda's bot protection. Expect approximately 5-10 compute units per 100 results. At standard Apify pricing, that's roughly $0.25-0.50 per 100 listings.

Limitations

• Funda uses reCAPTCHA bot protection — residential proxies are strongly recommended
• Some requests may be blocked; the actor retries automatically with fresh browser sessions
• Data is scraped from the public website and may change without notice
• GPS coordinates are only available when the listing includes a map
• Detail page enrichment increases accuracy but also increases compute cost

Use cases

• Market analysis — track asking prices, price-per-m², and days-on-market across Dutch cities.
• Real-estate CRM enrichment — import listings with agent info, photos, and energy labels straight into your pipeline.
• Competitor monitoring — watch how nearby listings are priced and positioned.
• Investor dashboards — build rental-yield and ROI models on fresh Funda inventory.
• Lead generation — surface new listings by neighborhood, property type, or price band.

Support

Hit a bug or a missing field? Open an issue on the Actor page — we respond fast and ship fixes within 24 hours. Every published scraper in the Studio Amba catalog is monitored daily; broken runs trigger an automatic heal cycle.