Funda.nl Housing Scraper

Scrape property listings from Funda.nl by pasting search result URLs or by setting filters such as location, price, and property type.

Why This Scraper?

• Save time by collecting many listing results in one run.
• Track housing supply, prices, and status changes across Dutch markets.
• Export clean structured data that is ready for spreadsheets, dashboards, and automations.
• Reuse exact Funda search URLs so results match what you see on the site.

Use Cases

Market research

• Compare asking prices across cities or neighbourhoods
• Track supply by property type
• Monitor rental vs. sale inventory

Lead generation

• Build lists of listings that match your buying criteria
• Monitor newly published listings
• Collect listing links for manual follow-up

Reporting and operations

• Feed listing data into internal dashboards
• Share filtered datasets with clients or teammates
• Export results to Google Sheets or CSV

Input Reference

Parameter	Type	Default	Description
searchUrls	array	[]	One or more Funda search result URLs to scrape directly
offeringType	string	buy	Choose buy or rent
availability	string	available	Choose available, unavailable, or negotiations
propertyTypes	array	["single"]	Property types to include
location	string	empty	City, neighbourhood, postal code, or address
priceFrom	integer	empty	Minimum price in euros
priceTo	integer	empty	Maximum price in euros
sortBy	string	publish_date_utc	Sort by date, price, floor area, or plot area
sortOrder	string	desc	Choose ascending or descending sort order
maxItems	integer	100	Maximum number of listings to collect. 0 means as many as possible up to the built-in safety cap
outputFormat	string	clean	clean for flattened fields, raw for the original listing payload
outputFields	array	all clean fields	Choose a subset of clean fields to keep
delayBetweenRequests	number	0.3	Base delay between requests in seconds
proxyConfiguration	object	Apify Proxy enabled	Proxy settings for larger or more sensitive runs

Output Fields

Clean output

Field	Description
fundaId	Listing ID on Funda
url	Full listing URL
status	Listing status
street	Street name
houseNumber	House number
houseNumberSuffix	House number addition, if available
postalCode	Postal code
city	City
province	Province
neighbourhood	Neighbourhood
wijk	District
sellingPrice	Asking price
sellingPriceType	Price type
sellingPriceCondition	Price condition
originalSellingPrice	Earlier asking price, when available
objectType	Property type
offeringType	Sale or rent
floorArea	Floor area
plotArea	Plot area
floorAreaRange	Floor area range when Funda returns multiple values
plotAreaRange	Plot area range when Funda returns multiple values
numberOfRooms	Number of rooms
numberOfBedrooms	Number of bedrooms
energyLabel	Energy label
publishDate	Listing publish date
photoUrls	Listing photo URLs
thumbnailUrl	Thumbnail image URL
availableMediaTypes	Media types available on the listing
agent	Agent details

Raw output

raw mode returns the original listing object from Funda for each item.

Tips For Best Results

• Paste full Funda search result URLs when you want the closest match to what you see in the browser.
• Use proxies for bigger runs or when scraping multiple URLs in one job.
• Start with a smaller maxItems value when testing a new search.
• Keep a small delay between requests to reduce blocks and rate limits.
• Split broad searches by city or price range if you want more control over large runs.

Pricing

Cost area	What affects it	How to keep it lower
Actor runtime	Number of URLs, result volume, retries	Use smaller test runs first
Proxy usage	Number of requests and retries	Use focused searches and practical delays
Dataset storage	Number of output records and fields	Keep only the fields you need

Actual billing depends on your Apify plan and the size of each run.

Integrations

• Zapier: trigger workflows when new listings appear
• Make: route listing data into CRMs, alerts, or databases
• Google Sheets: export cleaned datasets for sharing and analysis
• API: run the actor programmatically from your own app or backend

Input Example

{
    "searchUrls": [
        {
            "url": "https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D&price=%22200000-500000%22"
        }
    ],
    "maxItems": 30,
    "outputFormat": "clean"
}

Output Example

[
    {
        "fundaId": "7332972",
        "url": "https://www.funda.nl/detail/koop/amsterdam/huis-prinsengracht-100/7332972/",
        "status": "available",
        "street": "Prinsengracht",
        "houseNumber": "100",
        "houseNumberSuffix": "",
        "postalCode": "1015EA",
        "city": "Amsterdam",
        "province": "Noord-Holland",
        "neighbourhood": "Grachtengordel-West",
        "wijk": "Centrum-West",
        "sellingPrice": 495000,
        "sellingPriceType": "regular",
        "sellingPriceCondition": "kosten_koper",
        "originalSellingPrice": 495000,
        "objectType": "house",
        "offeringType": "buy",
        "floorArea": 125,
        "numberOfRooms": 5,
        "numberOfBedrooms": 3,
        "energyLabel": "A",
        "publishDate": "2024-10-25T15:15:02.5130000",
        "photoUrls": [
            "https://cloud.funda.nl/199527498",
            "https://cloud.funda.nl/199527499"
        ],
        "thumbnailUrl": "https://cloud.funda.nl/199527498/w720h480",
        "availableMediaTypes": [
            "floor_plan",
            "photo_360",
            "video"
        ],
        "agent": {
            "id": 13026,
            "name": "Smedema Makelaars & Taxateurs",
            "association": "NVM",
            "url": "https://www.funda.nl/makelaars/13026/"
        }
    }
]

Legal And Ethical Use

Use this scraper responsibly and make sure your use complies with Funda.nl terms, local laws, privacy rules, and your own internal policies. Review and store personal or commercially sensitive data with care.