Immoweb Property Scraper

Keeping tabs on the Belgian housing market usually means opening immoweb.be listing after listing and copying the same details by hand: address, price, floor area, energy label, the agency behind it. This scraper does that part for you. Paste an immoweb.be search URL and every listing comes back as a tidy row, with price, location, size, and broker already split into fields and ready for a spreadsheet or a model. It runs fast, costs little, needs no code, and you pay only for what you scrape.

What you get

Each listing comes back as one row covering three kinds of data:

• Location — cityName, postalCode, geoLat, geoLng, plus the listingUrl and listingId
• Price and size — priceValue, livingAreaSqm, plotAreaSqm, bedroomTotal, bathroomTotal, builtYear, buildState, energyRating, propertyKind, propertyStyle
• Listing and broker — listingTitle, brokerName, brokerPhone, imageLinks, collectedAt

Quick start

1. Open immoweb.be, set your filters (region, price, property type), and copy the URL from the address bar. A direct classified link works too.
2. Hit Try for free and paste that link into Immoweb URLs.
3. Set a Results limit to control how many listings you pull from each URL.
4. Press Start, then export the rows as JSON, CSV, Excel, or XML.

Use cases

• Price tracking — follow asking prices across a city or postcode and catch reductions early
• Region comparison — line up price per m², bedroom counts, and energy labels between areas
• Investment research — assemble a dataset of for-sale or rental stock to score against your own criteria
• Broker analysis — see which agencies list what, where, and at what price
• Market dashboards — pipe live immoweb.be data into your own sheet, BI tool, or app

Input

Field	Type	Required	Description
listingUrls	array of strings	Yes	immoweb.be search pages or direct listing links to scrape; search pages are walked page by page. Prefilled with a Belgian houses-for-sale search.
resultsLimit	integer	No	How many listings to pull from each URL. Default 25.
timeoutSeconds	integer	No	Seconds to wait on each request before it times out. Default 45.

Example input

{
    "listingUrls": [
        "https://www.immoweb.be/en/search/house/for-sale?countries=BE&page=1"
    ],
    "resultsLimit": 25,
    "timeoutSeconds": 45
}

Output

Every listing on the search results turns into one row, paginated automatically up to your limit. Fields that immoweb.be does not publish for a given property come back absent rather than guessed, and search-result rows carry less detail than direct classified links (for example bathrooms and build year show up mainly on single-listing pages).

Example output

{
    "listingId": "12345678",
    "listingUrl": "https://www.immoweb.be/en/classified/villa/for-sale/gent/9000/12345678",
    "listingTitle": "Spacious villa with garden near the centre of Gent",
    "propertyKind": "house",
    "propertyStyle": "villa",
    "priceValue": 575000,
    "bedroomTotal": 4,
    "bathroomTotal": 2,
    "livingAreaSqm": 210,
    "plotAreaSqm": 640,
    "builtYear": 1998,
    "buildState": "GOOD",
    "energyRating": "B",
    "cityName": "Gent",
    "postalCode": "9000",
    "geoLat": 51.0543,
    "geoLng": 3.7174,
    "brokerName": "Vandaele Vastgoed",
    "brokerPhone": "+32 9 123 45 67",
    "imageLinks": [
        "https://static.immoweb.be/listings/12345678/large-1.jpg",
        "https://static.immoweb.be/listings/12345678/large-2.jpg"
    ],
    "collectedAt": "2026-06-29T12:00:00.000000+00:00"
}

Output fields

Field	Type	Description
listingId	string	Immoweb identifier for the listing
listingUrl	string	Direct link to the listing on immoweb.be
listingTitle	string	Headline shown on the listing
propertyKind	string	Broad category, such as house or apartment
propertyStyle	string	More specific style, e.g. villa, penthouse, loft
priceValue	integer	Listed price in euros as a whole number
bedroomTotal	integer	Number of bedrooms
bathroomTotal	integer	Number of bathrooms
livingAreaSqm	integer	Habitable floor space in m²
plotAreaSqm	integer	Land or plot size in m²; mainly for houses
builtYear	integer	Year the property was built
buildState	string	Reported condition of the building
energyRating	string	EPC grade, e.g. A through F
cityName	string	Town or municipality
postalCode	string	Belgian postal code
geoLat	number	Latitude coordinate
geoLng	number	Longitude coordinate
brokerName	string	Estate agency or broker handling the listing
brokerPhone	string	Phone contact for the listing agency
imageLinks	array	Photo URLs gathered from the listing
collectedAt	string	ISO 8601 timestamp of when the row was captured
errorMessage	string	Reason a direct listing could not be read; absent on rows that succeeded

Tips for best results

• Filter on immoweb.be first. A tighter search URL (region, price band, property type) gives you a cleaner, more relevant dataset.
• Use resultsLimit for test runs. Start with 25 to confirm the output fits your pipeline, then raise it for the full pull.
• Search pages and direct links both work. Drop in a search URL to walk every page, or paste a single classified link to grab one property in detail.
• Detail pages carry more. bathroomTotal, builtYear, buildState, and brokerPhone show up mainly on direct classified links; search-result rows fill in what the card exposes.
• Raise timeoutSeconds if you start seeing timeouts on large result sets.

How can I use Immoweb property data?

How can I use the Immoweb Property Scraper to track Belgian house prices? Paste an immoweb.be search URL for your target region and run it on a schedule. Each row carries priceValue, cityName, postalCode, and collectedAt, so you can chart asking prices over time and flag reductions soon after they appear.

How can I compare Belgian regions on immoweb.be by price per m²? Pull listings for several areas, then divide priceValue by livingAreaSqm per row. With cityName, bedroomTotal, and energyRating alongside, you get a clean side-by-side read on where the value sits.

How can I build a Belgian real estate dataset for investment research? Feed in one or more search URLs, set resultsLimit to the volume you need, and export to CSV or Excel. The result is a structured property database — address, price, size, energy label, broker — you can score against your own buy criteria.

How do I export immoweb.be listings to a spreadsheet? Run the scraper, then download the dataset as CSV, Excel, JSON, or XML. Every listing is already split into fields like listingTitle, priceValue, and livingAreaSqm, so it drops straight into a sheet without cleanup.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.