🇩🇰 Other Denmark

Boligsiden Scraper - Danish Real Estate Listings & Sold Prices

studio-amba/boligsiden-scraper

Scrape property listings and historical sold prices from Boligsiden.dk, Denmark's #2 real estate portal. Extract prices, locations, sizes, rooms, energy labels, and realtor details for houses, apartments, and holiday homes across Danish municipalities. No login needed.

Try for free on Apify

What data can you extract?

Pricing
Location data
Property listings
Data export

Output fields

Each result is a JSON object with these fields.

title
price
currency
listingType
propertyType
address
city
postalCode
municipality
province
latitude
longitude
rooms
surface
landSurface
buildYear
epcScore
pricePerSqm
monthlyExpense
priceChangePercentage
soldDate
url
imageUrl
imageUrls
agencyName
boligsidenId
scrapedAt

How to use

Go to the actor page on Apify
Click "Try for free" to open the actor in Apify Console
Configure your input (search terms, URLs, or categories)
Run the actor and download your data as JSON, CSV, or Excel

Input example

Paste this into the actor input on Apify Console, or send it as the body of an API run call.

{
  "startUrls": [
    {
      "url": "https://www.boligsiden.dk/kommune/koebenhavn/tilsalg"
    }
  ],
  "maxResults": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}

Use via API

curl "https://api.apify.com/v2/acts/studio-amba~boligsiden-scraper/runs" \
  -X POST \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls":[{"url":"https://www.boligsiden.dk/kommune/koebenhavn/tilsalg"}],"maxResults":50,"proxyConfiguration":{"useApifyProxy":true,"apifyProxyGroups":["RESIDENTIAL"]}}'

Need this data delivered on a schedule?

We run Boligsiden extraction as a managed service: scheduled runs, deduplication, delta detection, and delivery straight to your inbox, Google Sheets, or API. No setup on your side, maintenance included. We can also build a custom version of this scraper for your exact fields and filters.

See managed data plans Ask for a free sample