Boliga.dk Scraper

What does Boliga.dk Scraper do?

Boliga.dk Scraper collects Danish property listings from Boliga.dk, the largest real estate marketplace in Denmark. Provide a Boliga search URL or a city name, and the Actor returns structured listing data including prices, addresses, property details, images, and listing metadata. The output works for market analysis, property research, price monitoring, and real estate data aggregation.

Why use Boliga.dk Scraper?

• Structured property data - Get clean, normalized listing fields instead of copy-pasting from web pages.
• Flexible input methods - Run with a Boliga result URL, an area identifier, or a city name.
• Automation-ready - Export results to JSON, CSV, Excel, or connect to Google Sheets and other tools.
• Schedule for monitoring - Run daily or weekly to track price changes and new listings in specific areas.
• Deduplicated results - Duplicate listings are automatically removed using the Boliga listing identifier.

What data can you extract from Boliga.dk?

Field	Description
street	Street address of the property
zip_code	Danish postal code
city	City name
price	Asking price in DKK
rooms	Number of rooms
size	Registered size in square meters
lot_size	Lot size in square meters
property_type	Property type code
energy_class	Energy label
build_year	Year the property was built
squaremeter_price	Price per square meter
days_for_sale	Number of days listed on the market
listing_url	Direct link to the Boliga detail page
image_url	Primary listing image

How to use Boliga.dk Scraper

1. Open the Actor on Apify Store.
2. Enter a Boliga result URL such as https://www.boliga.dk/resultat/landsdele/koebenhavn-by/alle-til-salg.
3. Set the maximum number of listings to collect.
4. Optionally adjust the page limit or use an area or city override.
5. Run the Actor.
6. Download the dataset or connect it to your workflow.

Using area or city overrides

If you prefer not to use a URL, provide an areaId (Boliga region identifier) or a place (city name) directly. The Actor will build the search parameters for you.

Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	Copenhagen region result URL	Boliga result URL to mirror
areaId	Integer	No	-	Boliga area identifier override
place	String	No	-	City or place name override
results_wanted	Integer	No	20	Maximum number of listings to save
max_pages	Integer	No	5	Maximum number of result pages to request
proxyConfiguration	Object	No	Apify proxy disabled	Proxy settings for reliable runs

Output Data

Field	Type	Description
listing_id	Integer	Boliga listing identifier
street	String	Street address
clean_street	String	Normalized street name
zip_code	Integer	Danish postal code
city	String	City name
municipality_code	Integer	Municipality code
area_id	Integer	Boliga area identifier
property_type	Integer	Property type code
item_type	Integer	Listing item type code
price	Integer	Asking price in DKK
price_change_percent_total	Number	Total price change percentage
squaremeter_price	Number	Price per square meter
monthly_net	Integer	Monthly net payment estimate
monthly_expenses	Integer	Monthly expense estimate
down_payment	Integer	Required down payment estimate
energy_class	String	Energy label
rooms	Number	Number of rooms
size	Integer	Registered size in square meters
lot_size	Integer	Lot size in square meters
basement_size	Integer	Basement size in square meters
floor	Integer	Floor number when available
build_year	Integer	Year built
days_for_sale	Integer	Days on market
views	Integer	Listing views
latitude	Number	Latitude coordinate
longitude	Number	Longitude coordinate
created_date	String	Listing creation timestamp
is_active	Boolean	Whether the listing is currently active
is_foreclosure	Boolean	Foreclosure flag
image_url	String	Primary listing image URL
images	Array	Listing image objects when available
listing_url	String	Boliga detail page URL
search_url	String	Source result URL used for the run

Usage Examples

Basic listing collection from a Boliga result URL

Run with a Copenhagen region result page and collect 20 listings:

{
  "startUrl": "https://www.boliga.dk/resultat/landsdele/koebenhavn-by/alle-til-salg",
  "results_wanted": 20,
  "max_pages": 2
}

Collect listings by area identifier

Use a direct area ID to collect listings from a specific Boliga region:

{
  "areaId": 1,
  "results_wanted": 50,
  "max_pages": 3
}

Collect listings by city name

Provide a city name to collect properties in a specific location:

{
  "place": "Frederiksberg",
  "results_wanted": 40,
  "max_pages": 2
}

Large-scale collection across multiple pages

Increase the result limit and page cap for broader coverage:

{
  "startUrl": "https://www.boliga.dk/resultat/landsdele/nordsjaelland/alle-til-salg",
  "results_wanted": 200,
  "max_pages": 5
}

Sample Output

{
  "listing_id": 2307239,
  "street": "Herninggade 23, 5. th.",
  "zip_code": 2100,
  "city": "Kobenhavn O",
  "price": 4995000,
  "squaremeter_price": 84661,
  "rooms": 2,
  "size": 59,
  "energy_class": "D",
  "build_year": 1940,
  "days_for_sale": 45,
  "views": 8,
  "latitude": 55.7132,
  "longitude": 12.5534,
  "image_url": "https://i.boliga.org/dk/550x/2307/2307239.jpg",
  "listing_url": "https://www.boliga.dk/bolig/2307239/herninggade-23-5-th-2100-koebenhavn-oe",
  "is_active": true,
  "search_url": "https://www.boliga.dk/resultat/landsdele/koebenhavn-by/alle-til-salg"
}

Tips for Best Results

• Use a complete Boliga result URL for best reliability. The Actor can parse region, city, and postal code searches from the URL path.
• Start with a small result count for testing. Use results_wanted: 20 and max_pages: 2 to verify the output before running larger collections.
• Use area or city overrides when a result URL is not available or when you want simpler input.
• Residential proxies improve success rates on Boliga. If you encounter incomplete results, enable Apify residential proxy in the proxy configuration.
• Check the dataset preview before scheduling larger runs to confirm you are collecting the right properties.

Integrations

• Google Sheets - Send scraped listing data to spreadsheets for analysis and sharing.
• Webhooks - Trigger downstream workflows after each run completes.
• Make or Zapier - Connect results to no-code automations and notifications.
• API - Access datasets programmatically from your own systems.
• CSV, Excel, JSON, XML - Download the dataset in your preferred format from Apify Console.

Related Actors

• Propertyfinder Scraper - Collect property listings from PropertyFinder.ae with pricing, specifications, location data, agent details, and listing media.
• Housing.com Property Scraper - Extract real estate listings from Housing.com with pricing, seller details, sizes, tags, and location data.

Frequently Asked Questions

Can I export the data to CSV or Excel?

Yes. Apify datasets can be downloaded in CSV, Excel, JSON, XML, and other supported formats from the dataset page.

Can I run this Actor on a schedule?

Yes. You can schedule the Actor in Apify Console to refresh data hourly, daily, weekly, or at another interval that suits your monitoring needs.

How are duplicate listings handled?

Duplicate listings are automatically detected and skipped using the unique Boliga listing identifier. You will not get repeated entries for the same property.

What if some fields are missing in the output?

Some fields may be empty when the source page does not publish that information. For example, not all listings include basement size or floor number. Check multiple results before assuming the Actor failed.

Can I search by postal code?

Yes. Boliga result URLs support postal code searches. Use a URL such as https://www.boliga.dk/resultat/postnumre/2100/alle-til-salg to filter by a specific Danish postal code.

Is it legal to scrape Boliga.dk?

Scraping public web data can be legal, but you are responsible for complying with applicable laws, Boliga's terms of service, and your own data handling obligations.

Support

For issues, feature requests, or custom Actor work, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is designed for legitimate data collection from publicly available sources on Boliga.dk. Users are responsible for using the data responsibly and complying with applicable laws, the Boliga.dk terms of service, and data protection regulations.