Boliga Scraper - Danish Real Estate Listings & Prices

Boliga Scraper

Scrape real estate listings and property prices from Boliga.dk — Denmark's leading property portal with comprehensive coverage of the Danish housing market. Extract structured data including prices, addresses, property details, energy ratings, and days on market. No login or cookies required.

How to scrape Boliga data

Extracting property data from Boliga.dk manually is tedious, especially when you need hundreds or thousands of listings for market analysis. This actor automates the process and returns clean, structured JSON data ready for analysis.

1. Go to the Boliga Scraper page on Apify Store.
2. Click Try for free to open the actor in Apify Console.
3. Enter your search criteria — city, property type, price range, or leave defaults for Copenhagen.
4. Click Start and wait for the run to complete.
5. Download your data in JSON, CSV, Excel, or connect via API.

Features

• Search by location (city, area, or region in Denmark)
• Filter by property type: villa, apartment (ejerlejlighed), townhouse (raekkehus), vacation home, country property
• Filter by listing type: for sale or for rent
• Filter by price range (min/max in DKK)
• Filter by number of rooms (min/max)
• Returns 20+ fields per listing including price, address, surface area, rooms, build year, energy rating, and days on market
• Automatic pagination — scrape hundreds or thousands of listings in one run
• No login required — works without cookies or authentication
• Built-in proxy support for reliable access with Danish residential proxies

Input options

Field	Type	Description	Default
searchQuery	String	City or area to search (e.g., "København", "Aarhus")	København
propertyType	Enum	Property type filter	All types
listingType	Enum	Sale or rent	Sale
minPrice	Integer	Minimum price in DKK	—
maxPrice	Integer	Maximum price in DKK	—
minRooms	Integer	Minimum number of rooms	—
maxRooms	Integer	Maximum number of rooms	—
maxResults	Integer	Maximum listings to return	100
proxyConfiguration	Object	Proxy settings	Danish residential proxy

Property types

Value	Description
all	All property types
villa	Villa / detached house
ejerlejlighed	Owner-occupied apartment
raekkehus	Townhouse / terraced house
fritidshus	Vacation / holiday home
landejendom	Country property / farm

Output fields

Each listing contains these fields:

Field	Type	Description
title	String	Property title / address
price	Number	Asking price in DKK
currency	String	Currency code (DKK)
listingType	String	"sale" or "rent"
propertyType	String	Property type
address	String	Street address
city	String	City name
postalCode	String	Danish 4-digit postal code
rooms	Number	Number of rooms
surface	Number	Living area in m2
landSurface	Number	Plot/land area in m2
buildYear	Number	Year built
epcScore	String	Energy rating (A-G)
daysOnMarket	Number	Days listed
pricePerSqm	Number	Price per m2 (DKK)
imageUrl	String	Main listing photo URL
agencyName	String	Real estate agency
url	String	Full Boliga.dk listing URL
scrapedAt	String	ISO timestamp

Example output

{
    "title": "Vesterbrogade 42, 3. tv.",
    "price": 3450000,
    "currency": "DKK",
    "listingType": "sale",
    "propertyType": "ejerlejlighed",
    "address": "Vesterbrogade 42, 3. tv.",
    "city": "København V",
    "postalCode": "1620",
    "rooms": 3,
    "surface": 85,
    "landSurface": null,
    "buildYear": 1906,
    "epcScore": "D",
    "daysOnMarket": 14,
    "pricePerSqm": 40588,
    "imageUrl": "https://images.boliga.dk/...",
    "agencyName": "Nybolig",
    "url": "https://www.boliga.dk/bolig/1234567",
    "scrapedAt": "2026-05-27T12:00:00.000Z"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel from the Output tab.

Cost estimation

Running costs depend on the number of listings scraped. This actor uses a browser (Playwright) because Boliga.dk requires JavaScript rendering.

Listings	Estimated cost	Estimated time
100	~$0.10	1-2 min
500	~$0.40	5-8 min
1,000	~$0.75	10-15 min
5,000	~$3.50	45-60 min

Costs include compute units and residential proxy traffic. Actual costs may vary depending on proxy usage and page complexity.

Tips for best results

• Use Danish city names for search queries (e.g., "København" not "Copenhagen", "Aarhus" not "Arhus")
• Start with fewer results (50-100) to verify the output matches your needs before scaling up
• Use property type filters to narrow results and reduce run time
• Price range filters help when you only need specific market segments
• Residential proxy with Danish location (DK) is recommended and pre-configured by default

Integrations

Connect Boliga Scraper to other tools and workflows:

• API access — Trigger runs programmatically via REST API
• Webhooks — Get notified when a run completes
• Scheduling — Set up recurring scrapes (daily, weekly)
• Zapier / Make — Connect to 3,000+ apps
• Google Sheets — Export results directly to spreadsheets

FAQ

Is it legal to scrape Boliga.dk? This actor extracts publicly available data from Boliga.dk. Users are responsible for ensuring their use complies with applicable laws, Boliga's Terms of Service, and data protection regulations (GDPR).

How fresh is the data? Each run fetches live data directly from Boliga.dk. Results reflect the current state of listings at the time of scraping.

What if the scraper returns no results? Boliga.dk has anti-bot protections. The actor uses residential proxies and browser automation to handle this. If you get empty results, try running again — the debug HTML is saved to the key-value store for troubleshooting.

Can I scrape sold properties? This version focuses on active listings (for sale and for rent). Sold property data may be added in a future update.

Support

Found a bug or need a custom feature? Open an issue in the Issues tab and we will respond within 24 hours. For custom scraping solutions, reach out through the same channel.