Funda.nl Real Estate Scraper

Scrape every property on Funda.nl — the Netherlands' #1 real estate portal with 93% brand awareness and 300,000+ active listings. Essential for Dutch real estate intelligence, investment research, and proptech analytics.

Extract prices, addresses, coordinates, photos, full descriptions, energy labels, room counts, construction year, and more — for both buy (koop) and rent (huur) listings across every Dutch city. Pay only for the results you scrape.

Features

• Buy and rent — Scrapes both /zoeken/koop and /zoeken/huur markets
• Direct URL or city name — Paste a Funda search URL or just type amsterdam, rotterdam, utrecht, den-haag, ...
• Full pagination — Walks through every SERP page (15 listings / page) up to your maxResults limit
• Rich property data — 35+ fields including GPS coordinates, neighborhood, full description, all photos, energy label, room breakdown
• Dutch energy label decoding — Correctly handles A+, A++, A+++, A++++ and all B-G labels
• Structured address parsing — Street, postal code (with Dutch space), city, neighborhood, province, country
• 30+ photos per listing — Full-resolution image URLs straight from Funda's CDN
• Full description text — Complete Dutch "Omschrijving" content, typically 3,000-6,000 characters per listing
• Feature tags — Amenities like garden, balcony, parking, heating type, construction type
• Dedup across pages — Every listing ID returned exactly once
• Fast HTTP-only scraper — 128 MB memory, no headless browser, ~1 second per SERP page
• Pay-per-result pricing — Only pay for what you actually scrape

Output Fields

Every result includes these fields:

Field	Type	Description
property_image_url	string	Primary listing photo (displayed as image thumbnail in the Apify console)
id	string	Unique Funda listing ID
title	string	Listing title (usually the street address)
url	string	Canonical Funda detail URL
listing_type	string	koop (buy) or huur (rent)
price	number	Asking price (EUR) or monthly rent (EUR)
price_currency	string	Always EUR
price_original	number	Original asking price if the listing has been reduced
price_per_m2	number	Price per square meter of living area
address	string	Full formatted address
street	string	Street and house number
city	string	City name
postal_code	string	Dutch postal code, e.g. 1017 DM
neighborhood	string	Official Funda neighborhood, e.g. Jordaan, Spiegelbuurt
province	string	Dutch province, e.g. Noord-Holland
country	string	Always NL
latitude	number	WGS84 latitude
longitude	number	WGS84 longitude
property_type	string	apartment, house, villa, bungalow, parking, land
bedrooms	number	Number of bedrooms
rooms	number	Total number of rooms
bathrooms	number	Number of bathrooms
living_area_m2	number	Living area in square meters
plot_size_m2	number	Plot size in square meters (houses only)
year_built	number	Construction year
energy_label	string	Dutch energy label: A+++++, A++++, A+++, A++, A+, A, B, C, D, E, F, G
heating_type	string	Heating system, e.g. Cv-ketel, Stadsverwarming, Warmtepomp
construction_type	string	Bestaande bouw (existing) or Nieuwbouw (new build)
description	string	Full Dutch listing description (plain text, typically 3,000-6,000 chars)
features	string[]	Amenity tags (balcony, garden, parking, insulation level, ...)
photos	string[]	All listing photo URLs in original order (full resolution)
agent_name	string	Listing agent / agency name (when visible on SERP)
agent_phone	string	Agent phone number (when available — see note below)
agent_email	string	Agent email address (when available — see note below)
agent_url	string	Agent profile page URL
listed_since	string	Date the listing was first published
source_url	string	Original Funda detail URL
source_platform	string	Always funda.nl
scraped_at	string	ISO-8601 UTC timestamp

Note on agent contact details: Funda hides agent phone and email behind a "Log in om te bekijken" wall for unauthenticated visitors. agent_name and agent_url are extracted from the listing card when present. agent_phone / agent_email are populated only when the listing exposes them publicly.

Real Output Example

{
  "property_image_url": "https://cloud.funda.nl/valentina_media/227/009/834.jpg",
  "id": "43300313",
  "title": "Aldengoor 2",
  "url": "https://www.funda.nl/detail/koop/amsterdam/huis-aldengoor-2/43300313/",
  "listing_type": "koop",
  "price": 3400000,
  "price_currency": "EUR",
  "price_per_m2": 9341,
  "address": "Aldengoor 2, 1083 AK Amsterdam",
  "street": "Aldengoor 2",
  "city": "Amsterdam",
  "postal_code": "1083 AK",
  "neighborhood": "Buitenveldert-Zuidoost",
  "province": "Noord-Holland",
  "country": "NL",
  "latitude": 52.32434,
  "longitude": 4.885988,
  "property_type": "house",
  "bedrooms": 7,
  "rooms": 9,
  "bathrooms": 5,
  "living_area_m2": 364,
  "plot_size_m2": 689,
  "year_built": 1964,
  "energy_label": "A+",
  "heating_type": "Cv-ketel, open haard, gedeeltelijke vloerverwarming en warmtepomp",
  "construction_type": "Bestaande bouw",
  "description": "Luxe, royaal en exclusief zijn de drie kernwoorden die deze vrijstaande villa van 364m² het beste omschrijven. Deze moderne villa beschikt over een riante voor-, zij- en achtertuin inclusief een verwarmd zwembad...",
  "features": [
    "Soort woonhuis: Villa, vrijstaande woning",
    "Soort dak: Plat dak",
    "Isolatie: Volledig geïsoleerd",
    "Tuin: Achtertuin, voortuin en zijtuin",
    "Balkon/dakterras: Dakterras aanwezig en balkon aanwezig",
    "Soort garage: Parkeerplaats en vrijstaande stenen garage"
  ],
  "photos": [
    "https://cloud.funda.nl/valentina_media/227/009/834.jpg",
    "https://cloud.funda.nl/valentina_media/227/009/921.jpg",
    "https://cloud.funda.nl/valentina_media/227/009/836.jpg",
    "... 55 more photos"
  ],
  "agent_name": "CSV Makelaars B.V.",
  "agent_url": "https://www.funda.nl/makelaar/24635-csv-makelaars-bv/",
  "listed_since": "2026-04-09T00:00:00Z",
  "source_url": "https://www.funda.nl/detail/koop/amsterdam/huis-aldengoor-2/43300313/",
  "source_platform": "funda.nl",
  "scraped_at": "2026-04-10T10:18:12Z"
}

Input Parameters

Parameter	Type	Description	Default
searchUrls	string[]	One or more Funda search URLs. Example: https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D	—
city	string	Alternative: Dutch city slug. amsterdam, rotterdam, utrecht, den-haag, eindhoven, groningen, ... Used when searchUrls is empty.	—
listingType	string	koop (buy) or huur (rent). Only used together with city.	koop
maxResults	number	Maximum listings to return across all pages	100
includeDetails	boolean	Fetch detail pages for full descriptions, all photos, coordinates, neighborhood, year built, heating, rooms, and more	true
proxyConfiguration	object	Apify proxy settings. Default auto works reliably and is the cheapest option.	{useApifyProxy: true}

Either searchUrls or city must be provided. searchUrls takes precedence and lets you use Funda's advanced filters (price range, area, rooms, energy label, …).

Example: Amsterdam apartments under €500K, minimum 2 rooms

{
  "searchUrls": [
    "https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D&price=%22-500000%22&object_type=%5B%22apartment%22%5D&rooms=%222-%22"
  ],
  "maxResults": 300,
  "includeDetails": true
}

Example: Rental listings in Rotterdam (cheap mode — no details)

{
  "city": "rotterdam",
  "listingType": "huur",
  "maxResults": 500,
  "includeDetails": false
}

Use Cases

• Dutch real estate market analysis — Track asking prices, time-on-market, and inventory trends across all Dutch cities
• Amsterdam / Rotterdam / Utrecht investment research — Find undervalued properties in high-growth neighborhoods
• Rental yield calculation — Compare buy (koop) vs rent (huur) prices on the same streets to compute cap rates
• Neighborhood price heatmaps — Build interactive maps with latitude/longitude + price_per_m2
• Lead generation for makelaars — Target agents based on listing volume and pricing tier
• PropTech data pipelines — Feed clean, structured JSON into BI tools, data warehouses, or ML models
• Historical price tracking — Run daily to record price reductions and detect distressed sales
• Relocation and expat tools — Aggregate listings filtered by school, transport, or amenity preferences
• Competitive benchmarking — Compare your listings against the full Funda market

Pricing

Event	Price
Actor start	$0.001
Search result (SERP only, includeDetails=false)	$0.003 per listing
Detail result (includeDetails=true)	$0.008 per listing

When includeDetails is true, each listing charges the detail rate — not both rates. A full 100-listing Amsterdam scrape with full details costs ~$0.80.

Why This Scraper

• HTTP-only, not a browser — runs in 128 MB of RAM, ~1 second per page. No Playwright overhead.
• Pay per result, not per hour — you're never billed for warming up a browser or retrying a Captcha.
• No monthly rental — pay only when you run it. Perfect for one-off market studies or daily cron jobs.
• Structured Nuxt data extraction — we parse Funda's internal state directly, so every field comes out clean: full descriptions, photo galleries, GPS coordinates, typed room counts, and the correct energy label (A+ ≠ A1).
• Works out of the box — auto proxy is the default. No RESIDENTIAL required.
• Field coverage verified — Tested to populate every documented field on 100% of real Amsterdam, Rotterdam, and Utrecht listings where the data is publicly visible on Funda.

Issues & Feedback

Facing an issue, or missing a feature or data field? Open an issue on the Issues tab — we respond quickly and ship fixes regularly.

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