Funda Scraper [$0.7/1K] | Dutch Property
Pricing
from $0.67 / 1,000 listings
Funda Scraper [$0.7/1K] | Dutch Property
Collect Funda.nl property listings by search URL or location filters. Get asking prices, addresses, rooms, living area, plot size, build year, energy labels, agents, photos and descriptions.
Pricing
from $0.67 / 1,000 listings
Rating
0.0
(0)
Developer
Ahmed Jasarevic
Maintained by CommunityActor stats
0
Bookmarked
8
Total users
3
Monthly active users
12 days ago
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Funda Scraper - Dutch Property Listings, Prices & Agent Data
Turn Funda.nl searches into structured Dutch property data.
How It Works

Looking for a Funda scraper or a practical Funda API alternative? Start from any public Funda search or property URL, or set a location, keywords, price range and buy/rent filters. The Actor returns structured Dutch property listings with asking prices, addresses, rooms, living area, plot size, build year, energy label, agent, photos, description and characteristics.
Use the dataset for market analysis, investment screening, valuation research or property lead generation. Export as JSON, CSV or Excel, or pull results through the Apify API. Start with one search, then pay from $0.70 per 1,000 listings.
What You Get
- Asking price, offer type and listing URL
- Address, coordinates, rooms, bedrooms, living area and plot size
- Build year, energy label and full characteristics sections
- Agent name, photo gallery and property description
Input
| Field | Type | Default | Description |
|---|---|---|---|
startUrls | array | - | Funda search or listing URLs. Use this or the location fields. |
searchLocation | string | - | City, area or radius such as amsterdam or utrecht, 10km. |
searchKeywords | string | - | Optional words to match in listings. |
searchTransactionType | string | buy | buy for sale or rent for rentals. |
searchPriceMin, searchPriceMax | integer | - | Optional price range in euros. |
contentLanguage | string | en | en for translated copy or nl for Dutch. |
scrapeDetails | boolean | true | Add description, characteristics, agent, coordinates and media. |
maxItems | integer | 100000 | Maximum listings to collect; 0 means unlimited. |
Example Input
{"searchLocation": "amsterdam","searchTransactionType": "buy","searchPriceMin": 400000,"searchPriceMax": 900000,"scrapeDetails": true,"maxItems": 50}
Output
One dataset item per record.
| Field | Description |
|---|---|
url, tinyId, title | Listing identity. |
price | Formatted and numeric asking price. |
address, coordinates | Street, postcode, city, province and map point. |
stats | Rooms, bedrooms, living area and plot area. |
build | Build year and energy label. |
agentName | Listing agent. |
media, description | Photo URLs and listing copy. |
scrapedAt | Collection timestamp. |
Example Output
{"tinyId": "44657068","title": "Zwanebloemlaan 270 1087JT Amsterdam","price": {"formatted": "€ 795.000 k.k.","numeric": 795000},"stats": {"rooms": 5,"bedrooms": "4","livingArea": 150,"plotArea": 113},"build": {"year": 2008,"energyLabel": "A"},"agentName": "Makelaarsland"}
Pricing
| Volume | Cost |
|---|---|
| 1 listing | $0.0007 |
| 1,000 listings | $0.70 |
| 10,000 listings | $7.00 |
| 1 detailed listing | $0.0016 |
| 1,000 detailed listings | $1.60 |
Detailed listings add $0.0009 each, so the combined price is $0.0016 per listing ($1.60 per 1,000) when detail extraction is enabled. The standard Actor start charge applies to each run.
Integrations
- Export the dataset as JSON, CSV or Excel from Apify.
- Pull results through the Apify API.
- Schedule repeat runs for monitoring and change tracking.
- Connect webhooks to Slack, Google Sheets, Make, Zapier, n8n or your own workflow.
FAQ
Can I search without a URL?
Yes. Set searchLocation and any optional keywords, price range or transaction type, and leave startUrls empty.
Does it cover rentals?
Yes. Set searchTransactionType to rent.
How does detail extraction affect pricing?
Each listing costs $0.0007 and each detail item adds $0.0009. Runs without scrapeDetails only incur the listing charge.
Legal & Compliance
This Actor collects publicly available information. It is not affiliated with, endorsed by or sponsored by the data source. Users are responsible for complying with applicable terms, privacy laws and data-protection regulations.