Boliga Denmark Real Estate Scraper

Boliga Scraper creates a structured dataset of property listings collected from Boliga in Denmark. Each dataset item is one home and can include the street, city, zip code, price, rooms, living area, property type, energy class, and listing URL. Query the source with a zip code, a place name, or a Boliga result URL, limit the run with maxItems, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, XML, or another supported format.

Dataset at a glance

Property	Value
Source	boliga.dk
Record unit	One property listing
Input methods	searchQueries, startUrls, price and size filters
Main identifiers	id and url
Delivery	Apify Dataset and API
Export formats	JSON, CSV, Excel, XML, and other Apify dataset exports
Update model	Fresh records per Actor run
Pricing	$1.00 per 1,000 listings. Optional details from $2.00 per 1,000.

Coverage and available records

The Actor searches Boliga by zip code, place name, or a copied result or listing URL. The saved sample is a villa in Hobro, zip 9500.

Supported:

• Zip codes and free-text places
• Property type, price, rooms, size, lot size, year built, days on market, and energy class filters
• Broker, self-sale, and foreclosure exclusions
• A result cap through maxItems. 0 means no cap

Not currently collected unless extractDetails is true:

• Agent contact, building records, sales history, and the full photo gallery
• Those extra pages charge listing-details

Data dictionary

Fields match a saved search result. Prices are Danish kroner.

Field	Type	Nullable	Description	Example
id	number	No	Boliga listing id. Best field for deduplication.	2352957
url	string	Yes	Public address URL.	https://www.boliga.dk/adresse/godt-gemt-2-9500-hobro-1451200001
street	string	Yes	Street and number.	Godt Gemt 2
city	string	Yes	City name.	Hobro
zipCode	number	Yes	Postal code.	9500
price	number	Yes	Asking price in DKK.	645000
rooms	number	Yes	Room count.	3
size	number	Yes	Living area in square meters.	127
propertyTypeName	string	Yes	Type label.	Villa
energyClass	string	Yes	Energy label.	D
latitude	number	Yes	Latitude.	Present on the saved row
longitude	number	Yes	Longitude.	Present on the saved row
squaremeterPrice	number	Yes	Price per square meter.	Present on the saved row

Example dataset record

{
  "id": 2352957,
  "url": "https://www.boliga.dk/adresse/godt-gemt-2-9500-hobro-1451200001",
  "street": "Godt Gemt 2",
  "city": "Hobro",
  "zipCode": 9500,
  "price": 645000,
  "rooms": 3.0,
  "size": 127,
  "propertyTypeName": "Villa",
  "energyClass": "D"
}

The saved row came from a zip 9500 search with extractDetails off.

Query and input reference

Input	Type	Required	Default	Accepted values	Description
startUrls	array	No	[{"url": "https://www.boliga.dk/resultat?searchTab=0&sort=daysForSale-a&zipCodes=9500"}]		Paste Boliga search result URLs (e.g.
searchQueries	array	No	["9500"]		Danish zip codes (e.g.
propertyTypes	array	No	``	villa, raekkehus, ejerlejlighed, fritidshus, andelsbolig, landejendom, helaarsgrund, fritidsgrund	Leave empty for all property types.
priceMin	integer	No	``		Minimum asking price in Danish kroner.
priceMax	integer	No	``		Maximum asking price in Danish kroner.
roomsMin	integer	No	``		Minimum number of rooms.
roomsMax	integer	No	``		Maximum number of rooms.
sizeMin	integer	No	``		Minimum living area in square meters.
sizeMax	integer	No	``		Maximum living area in square meters.
lotSizeMin	integer	No	``		Minimum plot/lot size in square meters.
lotSizeMax	integer	No	``		Maximum plot/lot size in square meters.
buildYearMin	integer	No	``		Minimum construction year.
buildYearMax	integer	No	``		Maximum construction year.
daysForSaleMin	integer	No	``		Minimum days the listing has been on the market.
daysForSaleMax	integer	No	``		Maximum days the listing has been on the market.
energyClassMin	string	No	``		Minimum energy label (e.g.
energyClassMax	string	No	``		Maximum energy label (e.g.
zipCodes	string	No	``		Comma-separated Danish zip codes applied to all search queries (e.g.
municipality	integer	No	``		Danish municipality code (kommunekode), e.g.
sort	string	No	daysForSale-a	daysForSale-a, daysForSale-d, price-a, price-d, views-d, squaremeterPrice-a, squaremeterPrice-d, rooms-d, size-d, buildYear-d	How to sort search results.
hideBrokerListings	boolean	No	False		Exclude standard broker listings from results.
hideSelfSale	boolean	No	False		Exclude private / self-sale listings.
hideForeclosure	boolean	No	False		Exclude foreclosure listings.
extractDetails	boolean	No	False		When enabled, fetches full listing details for each result (agent contact, BBR building data, sales history, price analytics, full photo gallery).
detailConcurrency	integer	No	10		Maximum number of listings processed in parallel when detail extraction is enabled.
maxItems	integer	No	0		Maximum number of listings to scrape (0 = unlimited).
proxyConfiguration	object	No	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}		Proxy settings.

A run needs searchQueries or startUrls.

Minimal request:

{
  "searchQueries": ["9500"],
  "maxItems": 10
}

Retrieve the data through the API

1. Start datascrapers/boliga-dk-scraper with the JSON input.
2. Wait until the run finishes, or call the synchronous dataset endpoint.
3. Read items from the run's default dataset.
4. Paginate with dataset offset and limit.

from apify_client import ApifyClient

client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("datascrapers/boliga-dk-scraper").call(run_input={
    "searchQueries": ["9500"],
    "maxItems": 10,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["id"], item["street"], item["price"])

Other languages are listed on the Actor's API tab. This is the Apify Actor API, not a Boliga API.

Data quality and record handling

• One dataset item is one listing. Each pushed listing charges one dataset-item event.
• Deduplicate on id.
• extractDetails charges one listing-details event per enriched listing.
• Prices are kroner as returned by Boliga. The Actor does not convert them.
• rooms can be a decimal.

Pricing and cost examples

The price file sets $1.00 per 1,000 listings and $2.00 per 1,000 listing details on the free plan. Bronze, Silver, and Gold rates are lower. Platinum and Diamond use the Gold rate.

Event	Free	Bronze	Silver	Gold
dataset-item per 1,000	$1.00	$0.90	$0.80	$0.70
listing-details per 1,000	$2.00	$1.70	$1.50	$1.30

A free-plan run of 1,000 listings with details is $3.00 in events. Platform usage, including compute and proxy, is billed separately by Apify.

Limitations and responsible data use

• Coverage is the search the input requests, not every Danish address.
• Place names must match Boliga's search. Zip codes are the more stable filter.
• Asking prices change. This dataset is not a historical archive unless extractDetails returns the sales history for that run.
• You are responsible for complying with Boliga's terms and applicable law.

Dataset questions

What does one dataset item represent?

One Boliga property listing from a search or listing URL.

Which field should I use as a unique identifier?

Use id.

Are fields nullable or conditional?

Yes. Detail-only blocks are present when extractDetails is enabled and the listing page returns them.

Can I retrieve the records as CSV or JSON?

Yes. Export the default dataset as JSON, CSV, Excel, XML, or another Apify format.

How do I paginate large datasets?

Use limit and offset on the dataset items endpoint. maxItems limits how many rows the run saves.

Does the Actor return historical data?

The search row is the current listing. Sales history is conditional on extractDetails.

What counts as a billable result?

One dataset-item event per saved listing, plus one listing-details event when detail extraction runs for that listing.

Related datasets from Data Scrapers

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• BNP Paribas Real Estate Scraper collects German commercial property listings.
• Boligsiden Scraper collects Danish for-sale, sold, and rental rows.
• Booli Scraper collects Swedish for-sale and sold homes.
• Apartments Scraper collects US rental listings.
• Bayut Scraper collects UAE property listings.

Data Scrapers support

Questions about this dataset: stardustspotlight@gmail.com