Funda Property Discovery Scraper avatar

Funda Property Discovery Scraper

Pricing

from $0.85 / 1,000 listings

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Funda Property Discovery Scraper

Funda Property Discovery Scraper

Discover public Funda property listings by location, sale or rent, and property type. Extract prices, descriptions, areas, rooms, images, and URLs.

Pricing

from $0.85 / 1,000 listings

Rating

0.0

(0)

Developer

Trove Vault

Trove Vault

Maintained by Community

Actor stats

1

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

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Discover public Funda real estate listings from buyer-facing inputs: location, operation, property type, and result limit. The Actor searches Funda for you, then returns structured listing rows with prices, areas, rooms, descriptions, images, agents, and listing URLs.

This is a discovery Actor. You do not need to provide search result URLs.

Why Use This Actor

Use this Actor when you need a clean Netherlands real estate dataset from Funda without manually building search URLs or copying listings from the website.

It is useful for:

  • Dutch property lead discovery by city
  • sale and rental inventory research
  • price and area comparison across Funda listings
  • proptech, agency, investor, and market-monitoring workflows
  • TroveVault pipelines that combine several property portals into one dataset

What It Extracts

Each dataset row can include:

  • platform, listingId, title, and url
  • operation and propertyType
  • price, currency, priceText, and pricePerM2
  • areaM2, bedrooms, and bathrooms
  • address, city, and country
  • description
  • features
  • mainImage and images
  • listedAtText
  • scrapedAt
  • runId when supplied in the input

Fields are only populated when they are publicly visible in Funda search or detail pages.

Input

{
"location": "Amsterdam",
"operation": "sale",
"propertyType": "apartment",
"maxItems": 3,
"datasetId": "",
"runId": ""
}

Input Fields

  • location - Dutch city to search, for example Amsterdam, Rotterdam, Utrecht, The Hague, Eindhoven, Groningen, Haarlem, or Maastricht.
  • operation - Dropdown. Use sale for properties for sale or rent for rental listings.
  • propertyType - Dropdown. Use any, apartment, house, land, or commercial.
  • maxItems - Maximum number of listings to save.
  • datasetId - Optional Apify dataset ID. When provided, each saved listing is also appended to that dataset.
  • runId - Optional workflow run ID. When provided, it is copied into each output row and the RUN_SUMMARY key-value record.

API Usage

curl -X POST "https://api.apify.com/v2/acts/trovevault~funda-property-discovery-scraper/runs" \
-H "Authorization: Bearer <APIFY_TOKEN>" \
-H "Content-Type: application/json" \
-d '{"location":"Amsterdam","operation":"sale","propertyType":"apartment","maxItems":3}'

Notes And Limitations

  • City-level locations are more stable than broad country searches.
  • Detail pages are used to enrich descriptions and image galleries when publicly accessible.
  • Funda does not expose every field for every listing; pricePerM2 is calculated only when both price and area are visible.
  • Commercial and land availability depends on Funda's public search coverage for the selected city.
  • Prices, availability, and listing details can change after scraping. Use scrapedAt to judge freshness.
  • The Actor does not read search URLs from input and does not require an upstream dataset for discovery.