Funda.nl & FundainBusiness.nl Scraper

The ultimate Funda scraper for extracting Netherlands property data — residential and commercial listings from the largest Dutch real estate platform. Get structured property data for analytics, investment screening, and market research.

Use Cases

• Real Estate Analytics — Analyze Dutch housing market trends, property prices, and inventory across cities
• Investment Screening — Identify high-yield rental properties and commercial real estate opportunities in the Netherlands
• Agent Lead Generation — Collect listing agent contact details to build a Dutch real estate agent database
• Price Monitoring — Track property price changes and days-on-market to spot market shifts
• Market Research — Study Amsterdam, Rotterdam, and Den Haag apartment availability and pricing
• Commercial Real Estate — Scrape office, retail, and commercial listings from FundainBusiness.nl

How It Works

1. Pass one or more Funda.nl or FundainBusiness.nl search URLs as input
2. The actor navigates each search result page and extracts property details
3. Each listing is parsed into structured JSON — address, price, size, rooms, agent, and more
4. Results are stored in a dataset you can download as JSON, CSV, or Excel

Input

Field	Type	Required	Default	Description
startUrls	array	Yes	—	Array of Funda search URLs to scrape
maxItems	integer	No	10	Maximum number of listings to scrape per run
proxy	object	No	{ "useApifyProxy": true }	Proxy configuration for request routing

Example Input

{
  "startUrls": [
    { "url": "https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D" }
  ],
  "maxItems": 20,
  "proxy": {
    "useApifyProxy": true
  }
}

Output

Each result contains the following fields:

Field	Description
url	Direct link to the listing on Funda
title	Property headline (e.g., "Ruim 3-kamer appartement")
address	Full street address
city	City name (e.g., Amsterdam, Rotterdam)
postalCode	Dutch postal code
price	Listed price (numeric, in EUR)
priceFormatted	Price as displayed on Funda
priceType	koop (sale) or huur (rental)
propertyType	Apartment, house, commercial, etc.
livingArea	Living area in m²
plotSize	Plot size in m² (if available)
rooms	Total number of rooms
bedrooms	Number of bedrooms
bathrooms	Number of bathrooms
yearBuilt	Year of construction
energyLabel	Energy efficiency label (A–G)
agentName	Listing agent or agency name
agentPhone	Agent phone number (if available)
agentUrl	Link to agent profile
images	Array of listing image URLs
description	Full property description
availableFrom	Earliest availability date
scrapedAt	Timestamp of when the listing was scraped

Example Output

[
  {
    "url": "https://www.funda.nl/detail/koop/amsterdam/appartement-stationsplein-10/",
    "title": "Modern apartment near Amsterdam Centraal",
    "address": "Stationsplein 10",
    "city": "Amsterdam",
    "postalCode": "1012 AB",
    "price": 425000,
    "priceFormatted": "€ 425.000 k.k.",
    "priceType": "koop",
    "propertyType": "apartment",
    "livingArea": 78,
    "plotSize": null,
    "rooms": 3,
    "bedrooms": 2,
    "bathrooms": 1,
    "yearBuilt": 2005,
    "energyLabel": "A",
    "agentName": "Makelaardij Amsterdam",
    "agentPhone": "+31 20 123 4567",
    "agentUrl": "https://www.funda.nl/makelaar/amsterdam/makelaardij-amsterdam/",
    "images": [
      "https://images.funda.nl/..."
    ],
    "description": "Uitstekend onderhouden appartement op steenworp van het Centraal Station...",
    "availableFrom": "2026-09-01",
    "scrapedAt": "2026-08-30T12:00:00Z"
  }
]

Integrations

• Google Sheets — Export dataset rows directly via Apify integration
• Zapier — Trigger workflows on new scraping runs or row updates
• Make (Integromat) — Connect to CRM, email, or spreadsheet tools
• Slack — Get notified when scraping completes or new listings arrive
• Airtable — Push listings into a custom property database
• Custom API — Pull results via the Apify API for your own dashboards

FAQ

Does this scrape FundainBusiness.nl as well? Yes. Pass URLs from either funda.nl (residential) or fundainbusiness.nl (commercial) — the actor handles both.

Can I scrape multiple cities in one run? Yes. Add multiple Funda search URLs to startUrls and the actor will process each one sequentially.

What proxy should I use? The default Apify proxy works well. For high-volume scraping, consider residential proxies to reduce blocking risk.

Is the data real-time? Yes — the actor fetches live data from Funda at the time of each run.

Can I filter by price or property type before scraping? Use Funda's own search filters in the URL (e.g., ?price=300000-500000) before passing it as input.

How is pricing calculated? At $0.0035 per result, scraping 100 listings costs $0.35.

For AI Agents

Use this actor when the user needs:

• Dutch property listings (buy or rent)
• Amsterdam, Rotterdam, Den Haag, Utrecht real estate data
• Funda scraping or FundainBusiness.nl commercial data
• Netherlands housing market analytics input
• Property investment screening in the Dutch market

Pass the search URL exactly as it appears on Funda. The actor returns structured JSON — no additional parsing needed.

actor: funda-hybrid-scraper
input:
  startUrls: [{ url: "https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D" }]
  maxItems: 20
  proxy: { useApifyProxy: true }

SEO Keywords

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Legal Disclaimer

This actor scrapes publicly available listing data from Funda.nl and FundainBusiness.nl. It does not bypass authentication, access private user accounts, or circumvent technical protection measures. Use of this tool is subject to Funda's terms of service. Users are responsible for ensuring their use complies with applicable laws and regulations, including the GDPR when processing personal data of EU residents.

Related Actors

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