Funda.nl Scraper — Dutch Property Listings | $1.50/1K | No Proxy

For Dutch property investors, housing analysts, and real estate platforms who need structured data from Funda — the Netherlands' dominant portal with 95%+ of all residential listings.

$1.50 per 1,000 listings. First ~10 listings free for trial runs.

Scrape Dutch real estate listings from Funda.nl — the Netherlands #1 property portal. Extract structured data from any search URL: price, address, area, rooms, energy label, coordinates, and photos.

No proxy required. No authentication. Pay per listing.

What you get

Each listing record includes:

Field	Description
listing_id	Funda global object ID
title	Full address title
description	Listing description text
price	Display price (e.g. "€ 450.000 k.k.")
price_numeric	Numeric price in EUR
currency	Always EUR
address	Street address
city	City name
postcode	Dutch postcode (e.g. "1053 DM")
province	Province (e.g. "Noord-Holland")
neighborhood	Neighborhood name
bedrooms	Number of bedrooms
bathrooms	Number of bathrooms
property_type	"Apartment", "House", etc.
property_sub_type	More specific Dutch type
floor_area_m2	Living area in m²
energy_label	EU energy label (A–G)
construction_year	Year built
is_auction	True if property is auctioned
lat, lng	GPS coordinates
url	Full Funda listing URL
image_url	Main listing photo URL
images	All photo URLs
date_listed	Publication date (ISO 8601)
scraped_at	Scrape timestamp (ISO 8601 UTC)
parse_confidence	Data quality score 0.0–1.0
warnings	List of quality issue codes

How it works

Funda uses Nuxt4 SSR (Vue). Each search page exposes listing URLs via Schema.org ItemList (ld+json). Each detail page contains full property data in a dehydrated Nuxt4 state JSON array — no proxy, no JavaScript execution needed.

Flow: search page → extract listing URLs → detail page → parse Nuxt4 state array → normalize.

2 requests per listing (search page + detail page). This is normal and expected.

Input

{
  "searchUrl": "https://www.funda.nl/koop/amsterdam/",
  "maxItems": 50
}

searchUrl — paste any Funda search URL from your browser (koop/huur, area filters, price filters all work).

maxItems — limit total listings (0 = all pages).

Output sample

{
  "listing_id": 89234512,
  "title": "Kinkerstraat 141-A",
  "price": "€ 450.000 k.k.",
  "price_numeric": 450000,
  "currency": "EUR",
  "city": "Amsterdam",
  "postcode": "1053 DM",
  "province": "Noord-Holland",
  "bedrooms": 2,
  "floor_area_m2": 68.0,
  "property_type": "Apartment",
  "energy_label": "C",
  "construction_year": 1924,
  "is_auction": false,
  "lat": 52.3681,
  "lng": 4.8713,
  "url": "https://www.funda.nl/detail/koop/amsterdam/appartement-kinkerstraat-141-a/89234512/",
  "parse_confidence": 0.95,
  "warnings": []
}

Pricing example

Run size	Cost
50 listings	~$0.075
1,000 listings	~$1.50
10,000 listings	~$15.00
+ auction listing	+$2.00/1K
+ energy-label data	+$0.50/1K

FAQ

Do I need a Funda account or proxy? No account, no proxy. Works from Apify cloud IPs. Use /en/ URLs for English results.

What output formats are available? JSON, CSV, Excel, XML — all via Apify dataset download or API.

Can I filter by huur (rental) or only koop (sale)? Paste any Funda search URL — both /koop/ (sale) and /huur/ (rental) URLs work.

What if it returns empty results? Check that your searchUrl is a valid Funda search URL (e.g. https://www.funda.nl/koop/amsterdam/). The actor logs the issue and exits cleanly with 0 results rather than crashing.

Why this actor vs. competitors

Feature	This actor	epctex/funda-scraper ($3/1K)	Typical Funda scraper
parse_confidence field	Yes	No	No
Energy label (EU A–G)	Yes	No	Rarely
Construction year	Yes	No	Rarely
is_auction flag	Yes	No	No
GPS coordinates	Yes	Yes	Sometimes
Source: Nuxt4 embedded state	Yes (stable)	DOM	Usually DOM
Price per 1K listings	$1.50	$3.00	varies

Works with both Dutch (/koop/, /huur/) and English (/en/) Funda URLs.

EU compliance note: Netherlands has strict energy efficiency disclosure requirements. The energy_label field makes this actor useful for PropTech and investment firms tracking EU Green Deal compliance.

parse_confidence

Every listing includes a parse_confidence score (0–1). Score < 0.8 means one or more critical fields are missing — check the warnings array before relying on those records.

Use with AI agents (MCP)

Tag: MCP_SERVERS. Returns clean JSON — drop into any n8n / Make / LangChain workflow without post-processing.

{
  "mcpServer": "https://mcp.apify.com/?tools=bovi/funda-listings"
}

Competitive edge

• parse_confidence field on every record (no competitor has this)
• Extracts from Nuxt4 embedded state — not brittle CSS selectors
• Energy label, construction year, GPS coordinates included
• is_auction flag for high-intent investor filtering
• No proxy COGS — clean from Apify cloud IPs

Pricing

Pay-Per-Event (PPE):

Event	Price
listing-item (primary)	$1.50 / 1,000 listings
auction-listing (premium)	$2.00 / 1,000 auction listings
energy-label-data (premium)	$0.50 / 1,000 labelled listings

Auction listings and energy-labelled listings each fire their respective premium event in addition to the base charge. You only pay for actual results returned.

Integrations

Built for Dutch property investors and housing analysts tracking Funda listing prices, specs, and market availability — the JSON/dataset output drops into the tools you already run, no glue code:

• n8n / Make / Zapier — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: n8n, Make, Zapier.
• Webhooks — fire your own endpoint the moment a run finishes, to push results straight into your pipeline (docs).
• MCP server — expose this actor as a tool to Claude, Cursor, or any MCP client so an AI agent can pull this data mid-conversation (guide).
• API & SDKs — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs.

See all Apify integrations.