GET
For Sale Search
/api/boliga/search
Search Danish homes for sale with filters, sorting and pagination
Boliga API
Boliga API for Danish Homes for Sale, Listing Details, and Sold Prices
Scrappa's Boliga API returns structured JSON from Boliga, the Danish real estate portal. Search homes for sale across Denmark with property type, municipality, zip code, price, size, rooms and build year filters, open any listing for its agent, photos and buildings, and read sold prices by street to follow the sale history of an address. Scrappa is an independent service and is not affiliated with or endorsed by Boliga.
500 free credits
No card needed
From $0.20 / 1k
Pay as you go
Structured JSON
Ready for apps
API key access
Test in minutes
3
Endpoints
44k+
Danish listings
$0.20
Per 1k requests
Try it now
Make one request. Inspect structured JSON.
Use the first endpoint in this API family with a Scrappa API key. Every account includes 500 free monthly credits, so you can validate the response shape before buying credits.
Request preview
Request
curl -X GET "https://scrappa.co/api/boliga/sold?street=Kaj+Munks+Vej&zip_from=8600&zip_to=8600" \
-H "Accept: application/json" \
-H "X-API-KEY: YOUR_API_KEY"
JSON response
{
"success": true,
"data": {
"results": [
{
"estate_id": 2299755,
"url": "https://www.boliga.dk/bolig/2299755/kaj-munks-vej-18-8600-silkeborg",
"address": "Kaj Munks Vej 18",
"zip_code": 8600,
"city": "Silkeborg",
"property_type": 1,
"sale_type": "Alm. Salg",
"price": 7300000,
"price_per_sqm": 44512.195,
"sold_date": "2026-10-14T22:00:00Z",
"change_percent": -8.69,
"rooms": 7,
"size": 164,
"build_year": 1967
}
],
"meta": { "total_count": 22, "total_pages": 8, "page": 1, "page_size": 3, "has_more": true }
},
"meta": { "endpoint_family": "sold_search", "billable": true }
}What you can build
Structured data for real applications. Here are some ideas.
Danish Market Monitoring
Track new homes for sale by municipality, zip code and property type with prices in DKK and days on the market.
Sold Price Research
Read completed sales by street with the final price, the sold date and the change against the last asking price.
Property Valuation
Compare asking prices and sold prices per square metre across zip codes to value a home.
Agent and Listing Intelligence
Open a listing for the selling agent, the registered area, the BFE number and the additional buildings.
Cross-Market Real Estate Data
Combine Boliga with Hemnet, Immowelt and ImmoScout24 to compare housing markets across Northern Europe.
Boliga scraper API
Boliga API for Danish homes for sale, listing details, and sold prices
The Boliga API is built for real estate analytics, valuation tools and market monitoring in Denmark. The search endpoint lists homes for sale with price in DKK, price per square metre, rooms, size, build year, energy class and days on the market. The listing endpoint adds the selling agent, photos and buildings. The sold endpoint returns completed sales by street with the final price and sold date.
Search homes for sale with property type, municipality, zip code, price, size, rooms and build year filters.
Page with page and page_size up to 100 and read total_count and total_pages.
Open any listing for the agent, full-size photos, registered area and additional buildings.
Read sold prices by street and zip range with the sold date and the change against the asking price.
Unknown listing ids return a clear 404 that is never billed.
Choose the right Boliga API endpoint
Use For Sale Search for market coverage
Combine property type, municipality, zip code and price filters to collect matching listings with numeric prices in DKK and live paging metadata.
Open Boliga Search API docsUse Listing Detail for full records
Pass a listing id to get the address, coordinates, registered area, BFE number, selling agent, full-size photos and additional buildings.
Open Boliga Listing API docsUse Sold Prices for sale history
Search a street with a zip range to read each completed sale with the final price, the sold date and the change against the last asking price.
Open Boliga Sold Prices API docsAvailable endpoints
Everything you need in one API.
GET
Listing Detail
/api/boliga/listing
Get the full record, agent, photos and buildings of one listing
GET
Sold Prices
/api/boliga/sold
Get completed sales by street and zip range with final prices and sold dates
Scrappa vs ScrapingBee / ScraperAPI
See how Scrappa compares to the official API.
| Feature | Scrappa | ScrapingBee / ScraperAPI |
|---|---|---|
| Boliga data as JSON | Build your own parser | |
| Sold price history by street | Parse it yourself | |
| Price per 1k requests | From $0.20 | Varies by credits per request |
| Unified API key | Yes (80+ APIs) | Scraping only |
| Free tier | 500 credits/month | Trial credits |
Boliga data as JSON
Scrappa:
ScrapingBee / ScraperAPI:
Build your own parser
Sold price history by street
Scrappa:
ScrapingBee / ScraperAPI:
Parse it yourself
Price per 1k requests
Scrappa:
From $0.20
ScrapingBee / ScraperAPI:
Varies by credits per request
Unified API key
Scrappa:
Yes (80+ APIs)
ScrapingBee / ScraperAPI:
Scraping only
Free tier
Scrappa:
500 credits/month
ScrapingBee / ScraperAPI:
Trial credits
Key features
Danish homes for sale with property type, municipality, zip code, price, size, rooms and build year filters
Prices in DKK with price per square metre and days on the market
Full listing records with selling agent, full-size photos, registered area and additional buildings
Sold prices by street and zip range with sold date and change against the asking price
Pagination with total_count, total_pages and up to 100 results per page
Unknown listing ids return a non-billable 404
Frequently asked questions
No. Scrappa is an independent service and is not affiliated with or endorsed by Boliga. The Boliga API returns structured JSON from public Boliga data through a Scrappa API key.
Every Scrappa account includes 500 free credits each month. After that, each successful request costs one credit. Failed requests, unknown listing ids and validation errors are never billed.
Call the sold endpoint with the street name and the zip code in zip_from and zip_to. Each sale returns the final price, the sold date and the change against the last asking price.