Funda.nl Scraper

Extract rich property listing data from Funda.nl in a structured dataset ready for analysis. Collect addresses, pricing, property characteristics, broker info, and location metadata at scale. Perfect for market intelligence, investment research, and automated property monitoring.

Features

• Richer Listing Coverage — Collects core listing info plus expanded location, status, and broker fields
• Flexible Search Input — Use a direct search URL or build searches by location and property type
• Price Range Support — Filter listings with minimum and maximum price bounds
• Automatic Paging — Continues across result pages until your target count is reached
• Reliable Collection Flow — Includes resilient fallback behavior for stable extraction

Use Cases

Real Estate Market Monitoring

Track movement in pricing, availability, and listing status across cities and provinces. Build recurring snapshots to monitor local market changes over time.

Investment Opportunity Research

Compare neighborhoods, municipalities, and price bands to find target opportunities. Use structured output for faster scoring and filtering.

Broker and Inventory Analysis

Measure how listings are distributed by broker and region. Identify where inventory is growing and which areas have higher turnover.

Data Pipelines and BI Dashboards

Send property data to your analytics stack and create dashboards for portfolio, lead, or market reporting workflows.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	—	Direct Funda search URL to collect from
location	String	No	—	Area or city filter used when startUrl is not provided
propertyType	String	No	"koop"	Listing mode: koop (buy) or huur (rent)
minPrice	Integer	No	—	Minimum price filter in EUR
maxPrice	Integer	No	—	Maximum price filter in EUR
results_wanted	Integer	No	20	Maximum number of listings to return
max_pages	Integer	No	10	Maximum number of result pages to process
proxyConfiguration	Object	No	Residential recommended	Apify proxy settings for reliability

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Output Data

Each dataset item can include:

Field	Type	Description
id	String	Listing identifier
address	String	Street and house number label
postalCode	String	Postal code
city	String	City
municipality	String	Municipality
province	String	Province
neighbourhood	String	Neighborhood name
price	Number	Parsed numeric price
priceText	String	Original human-readable price text
priceCondition	String	Price condition label
priceCurrency	String	Currency code
floorArea	Number	Living area
plotArea	Number	Plot area
rooms	Number	Total rooms
bedrooms	Number	Bedrooms
energyLabel	String	Energy label
objectType	String	Property type
constructionType	String	Construction category
status	String	Availability/status label
publishDate	String	Published date/time
latitude	Number	Latitude coordinate
longitude	Number	Longitude coordinate
brokerName	String	Primary broker name
brokerId	String	Primary broker identifier
imageUrl	String	Main image URL
url	String	Listing URL
source	String	Extraction source label
scrapedAt	String	Extraction timestamp

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Usage Examples

Basic Collection

{
    "startUrl": "https://www.funda.nl/en/zoeken/koop/",
    "results_wanted": 20
}

Location and Price Filter

{
    "location": "amsterdam",
    "propertyType": "koop",
    "minPrice": 300000,
    "maxPrice": 900000,
    "results_wanted": 50
}

Rental Search

{
    "location": "utrecht",
    "propertyType": "huur",
    "results_wanted": 30,
    "max_pages": 8
}

Sample Output

{
    "id": "7899206",
    "address": "Nieuwehaven 229",
    "postalCode": "2801 CT",
    "city": "Gouda",
    "municipality": "Gouda",
    "province": "Zuid-Holland",
    "neighbourhood": "Binnenstad",
    "price": 415000,
    "priceText": "415.000 k.k.",
    "priceCondition": "k.k.",
    "priceCurrency": "EUR",
    "floorArea": 109,
    "plotArea": 78,
    "rooms": 5,
    "bedrooms": 3,
    "energyLabel": "C",
    "objectType": "house",
    "constructionType": "resale",
    "status": "available",
    "publishDate": "2026-03-05T09:12:00.000Z",
    "latitude": 52.0131,
    "longitude": 4.7094,
    "brokerName": "Dupree Makelaars Gouda",
    "brokerId": "7070",
    "imageUrl": "https://cloud.funda.nl/valentina_media/223/031/272_720x480.jpg",
    "url": "https://www.funda.nl/detail/koop/gouda/huis-nieuwehaven-229/43206780/",
    "source": "openSearch_api",
    "scrapedAt": "2026-03-06T10:00:00.000Z"
}

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Tips for Best Results

Start with Real Search URLs

• Build your exact filter set on Funda first, then reuse that URL in startUrl
• This helps keep collection focused and predictable

Keep Test Runs Small

• Begin with results_wanted: 20
• Increase gradually for production schedules

Use Reliable Proxy Settings

• Residential proxy groups improve consistency on larger or repeated runs
• Keep retries and page limits reasonable for stable completion

Integrations

Connect your dataset with:

• Google Sheets — Build quick market tracking tables
• Airtable — Maintain searchable listing databases
• Make — Trigger automations when new listings appear
• Zapier — Connect to CRM and notification workflows
• Webhooks — Send fresh records to internal systems

Export Formats

• JSON — For apps and automation
• CSV — For spreadsheet analysis
• Excel — For reporting
• XML — For legacy workflows

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Frequently Asked Questions

How many listings can I collect?

You can collect as many as are available, bounded by your results_wanted and max_pages settings.

Can I run both buy and rental searches?

Yes. Use propertyType: "koop" for buy listings and propertyType: "huur" for rental listings.

What if some fields are empty?

Some listings do not provide every field. Empty values are expected for optional attributes.

Do I need to provide a full start URL?

No. You can use location and propertyType, but a pre-filtered startUrl gives you more control.

Support

For issues or feature requests, use the Apify Console support channels.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

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Legal Notice

This actor is intended for legitimate data collection. Users are responsible for complying with website terms and applicable laws in their jurisdiction.