Boliga Denmark Real Estate Scraper

Boliga Denmark Real Estate Scraper

Boliga Denmark Real Estate Scraper extracts homes for sale and historical sold prices from Boliga.dk, Denmark's property portal that collects every home publicly offered for sale through Danish estate agents and Boliga Selvsalg. Pick a city or postal code and get the price, price per m², address, rooms, living area, lot size, build year, energy label, days on market, sale date and GPS position of every property, as clean JSON, CSV or Excel.

Search all of Denmark or any city, Copenhagen district or postal code for homes til salg or solgte boliger back to 1992, filter by property type, price, rooms, size, build year, sold year and sales type, and add estate agent contacts when you need them.

Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

Apify Actor: parsebird/boliga-scraper. Scrapes Danish real estate from Boliga.dk: homes for sale (til salg) and historical sold prices (solgte boliger / salgspriser). Call via ApifyClient: client.actor("parsebird/boliga-scraper").call(run_input={"listingType": "sold", "zipCodes": "8000,8200", "propertyTypes": ["1"], "soldYearMin": 2022, "maxItems": 500}). Inputs: listingType ("forSale" or "sold", default "forSale"), zipAreas (array of area keys, e.g. "copenhagen", "koebenhavn-oe", "frederiksberg", "aarhus", "odense", "aalborg", "esbjerg", "north-zealand", "bornholm", "funen", "north-jutland"; empty = all of Denmark), zipCodes (string, comma-separated 4-digit Danish postal codes, combined with zipAreas), propertyTypes (array of codes: "1" Villa, "2" Rækkehus/townhouse, "3" Ejerlejlighed/apartment, "4" Fritidshus/holiday home, "5" Andelsbolig/co-op, "6" Landejendom/farm, "7" Helårsgrund/residential plot, "8" Fritidsgrund/holiday plot, "9" Villalejlighed; sold prices cover 1, 2, 3, 4, 6), priceMin / priceMax (integer DKK), roomsMin / roomsMax, sizeMin / sizeMax (m²), buildYearMin / buildYearMax, soldYearMin / soldYearMax (sold only), salesTypes (sold only: "regular", "family", "auction", "other"), includeDetails (boolean, for sale only: adds agent name, phone, email, website and all photo URLs), startUrls (array of Boliga API URLs https://api.boliga.dk/api/v2/search/results?... or .../sold/search/results?...; overrides filters), maxItems (integer, default 0 = no limit), proxyConfiguration (optional). Output: listingType, id, url, propertyType, propertyTypeEnglish, propertyTypeCode, address, zipCode, city, municipality, municipalityCode, price, squareMeterPrice, priceChangePercent, rooms, size, lotSize, basementSize, floor, buildYear, energyClass, monthlyOwnerCost, downPayment, daysForSale, listedAt, isForeclosure, isSelfSale, views, soldDate, salesType, latitude, longitude, imageUrl, addressUrl, ouId, bfeNumber, scrapedAt (+ agentName, agentPhone, agentEmail, agentWebsite, agentListingUrl, imageUrls with includeDetails). Pricing: pay per property saved. Full API spec: https://apify.com/parsebird/boliga-scraper/api. Get your token: https://console.apify.com/settings/integrations.

What is Boliga Denmark Real Estate Scraper?

Boliga Denmark Real Estate Scraper turns Boliga.dk into a structured dataset. Choose homes for sale or sold prices, pick an area, set your filters and click Start. The scraper collects every matching property with prices, sizes, location and dates.

It works as a Boliga API alternative: no account, no API key and no browser needed. Use it to scrape Boliga for current listings or to pull Danish house price history (salgspriser) by postal code, property type and year.

What can Boliga Denmark Real Estate Scraper do?

• 🏠 Homes for sale (til salg). Villas, townhouses, apartments, holiday homes, co-ops, farms, plots and villa apartments currently listed on Boliga.dk, with asking price, price change, days on market, monthly owner cost and down payment.
• 💰 Sold prices (solgte boliger). Historical sales back to 1992 with sale price, sale date, price per m², the change from asking price, and the sales type: regular, family, auction or other.
• 🗺️ Any part of Denmark. All of Denmark, 34 cities and Copenhagen districts, 9 regions by postal code band, or your own list of postal codes (postnumre).
• 🔎 Boliga's own filters. Property type, price, rooms, living area, build year, sold year and sales type are sent to Boliga's search, so you only collect matching properties.
• 📇 Estate agent contacts. Turn on Add agent contact & all photos to add the agent's name, phone, email and website plus every photo of each listing.
• 🔗 Start URLs. Paste Boliga API search URLs to reuse an exact search.
• 📅 Scheduling and monitoring. Run daily or weekly with Apify Schedules to track new listings, price drops and recent sales.
• 🔌 API and integrations. Use the Apify API, or send results to Google Sheets, Zapier, Make, Slack or webhooks with Apify integrations. Export as JSON, CSV, Excel, XML or HTML.

What data can you extract from Boliga.dk?

Field	Description
listingType	forSale or sold
id / url	Boliga listing ID and link to the property page on Boliga.dk
propertyType / propertyTypeEnglish / propertyTypeCode	Boliga's type ("Villa", "Ejerlejlighed"…), an English name and the numeric code
address / zipCode / city	Street address with floor and door, postal code and city
municipality / municipalityCode	Municipality (kommune) name and code, e.g. "København" / 101
price / squareMeterPrice	Asking price or sale price in DKK, and DKK per m²
priceChangePercent	For sale: total change from the first asking price. Sold: sale price vs. last asking price
rooms / size / lotSize / basementSize / floor	Rooms, living area, lot area and basement area in m², floor
buildYear / energyClass	Construction year and energy label as Boliga stores it: A–G, plus Boliga's own letter codes (such as I, J, K) on some newer homes
monthlyOwnerCost / downPayment	Monthly owner cost (ejerudgift) and down payment (udbetaling) in DKK, for sale only
daysForSale / listedAt / views	Days on market, listing date and page views on Boliga, for sale only
isForeclosure / isSelfSale	Foreclosure (tvangsauktion) and Boliga Selvsalg flags, for sale only
soldDate / salesType	Sale date and sales type ("Alm. Salg", "Fam. Salg", "Auktion", "Andet"), sold only
latitude / longitude	GPS coordinates
imageUrl / addressUrl	Main photo and the Boliga address page with the property's sales history
ouId / bfeNumber	Boliga address ID and the BFE number from the Danish property register
agentName / agentPhone / agentEmail / agentWebsite / imageUrls	Estate agent contact and all photos (with Add agent contact & all photos)

How to scrape Boliga.dk

1. Open Boliga Denmark Real Estate Scraper on Apify Store and click Try for free.
2. Choose Homes for sale or Sold prices.
3. Pick one or more Areas / cities, or type postal codes like 2100,2200 into More postal codes. Leave both empty for all of Denmark.
4. Pick Property types and set price, rooms, living area and build year filters. For sold prices, set Sold from year and Sold until year.
5. Set Max properties, or 0 for everything.
6. Click Start, then download the results as JSON, CSV, Excel, XML or HTML from the Output tab, or read them with the API.

How much does it cost to scrape Boliga.dk?

Boliga Denmark Real Estate Scraper uses pay-per-event pricing: you pay for each property saved. Compute and proxy costs are included in the price.

Event	Free	Bronze	Silver	Gold
result (per property)	$0.00299	$0.00249	$0.00199	$0.00159
Per 1,000 properties	$2.99	$2.49	$1.99	$1.59

For example, 1,000 sold prices from Aarhus cost $2.99 on the Free plan. Turning on agent contacts doesn't change the price. You can set a maximum cost per run in Apify Console, and the Actor stops when it's reached.

Input

Fill in the form on the Input tab or pass JSON through the API.

Parameter	Type	Required	Default	Description
listingType	string	No	forSale	forSale (til salg) or sold (solgte boliger)
zipAreas	array	No	[]	Areas such as copenhagen, koebenhavn-oe, frederiksberg, aarhus, odense, aalborg, north-zealand, bornholm. Empty = all of Denmark
zipCodes	string	No	—	Extra postal codes, comma-separated, e.g. 2100,8000
propertyTypes	array	No	[]	1 Villa, 2 Rækkehus, 3 Ejerlejlighed, 4 Fritidshus, 5 Andelsbolig, 6 Landejendom, 7 Helårsgrund, 8 Fritidsgrund, 9 Villalejlighed. Empty = all
priceMin / priceMax	integer	No	—	Price range in DKK
roomsMin / roomsMax	integer	No	—	Number of rooms
sizeMin / sizeMax	integer	No	—	Living area in m²
buildYearMin / buildYearMax	integer	No	—	Construction year range
soldYearMin / soldYearMax	integer	No	—	Sold prices only: year of sale
salesTypes	array	No	[]	Sold prices only: regular, family, auction, other
includeDetails	boolean	No	false	Homes for sale only: add agent contact and all photo URLs
startUrls	array	No	[]	Boliga API search URLs; the filters are ignored when set
maxItems	integer	No	0	Maximum properties to save; 0 = no limit
proxyConfiguration	object	No	direct	Optional proxy settings

Example: apartments for sale in Copenhagen Ø, N and S

{
    "listingType": "forSale",
    "zipCodes": "2100,2200,2300",
    "propertyTypes": ["3"],
    "maxItems": 200
}

Example: villas sold in Aarhus since 2022

{
    "listingType": "sold",
    "zipAreas": ["aarhus"],
    "propertyTypes": ["1"],
    "soldYearMin": 2022,
    "maxItems": 500
}

Example: all homes for sale under 3,000,000 DKK nationwide

{
    "listingType": "forSale",
    "priceMax": 3000000,
    "maxItems": 1000
}

Example: sold apartments from a Boliga API URL

{
    "startUrls": [
        { "url": "https://api.boliga.dk/api/v2/sold/search/results?zipcodeFrom=2100&zipcodeTo=2100&propertyType=3" }
    ],
    "maxItems": 300
}

Output example

A home for sale:

{
    "listingType": "forSale",
    "id": "2372131",
    "url": "https://www.boliga.dk/bolig/2372131",
    "propertyType": "Ejerlejlighed",
    "propertyTypeEnglish": "Apartment (owner-occupied)",
    "propertyTypeCode": 3,
    "secondaryPropertyType": null,
    "address": "Drejøgade 26E, 2. 202.",
    "zipCode": "2100",
    "city": "København Ø",
    "municipality": "København",
    "municipalityCode": 101,
    "price": 3100000,
    "squareMeterPrice": 79487,
    "priceChangePercent": -6,
    "rooms": 1,
    "size": 39,
    "lotSize": null,
    "basementSize": null,
    "floor": 2,
    "buildYear": 1974,
    "energyClass": "C",
    "monthlyOwnerCost": 2868,
    "downPayment": 155000,
    "daysForSale": 21,
    "listedAt": "2026-09-29T14:35:35.533Z",
    "isForeclosure": false,
    "isSelfSale": false,
    "openHouse": null,
    "views": 144,
    "soldDate": null,
    "salesType": null,
    "latitude": 55.71149,
    "longitude": 12.57206,
    "imageUrl": "https://i.boliga.org/dk/550x/2372/2372131.jpg",
    "addressUrl": "https://www.boliga.dk/adresse/drejoegade-26e-2-202-2100-koebenhavn-oe-1252221602",
    "ouId": 1252221602,
    "bfeNumber": 144014,
    "scrapedAt": "2026-10-20T13:51:16.602Z"
}

A sold property:

{
    "listingType": "sold",
    "id": "2358261",
    "url": "https://www.boliga.dk/adresse/hjoerringgade-5-st-tv-2100-koebenhavn-oe-1131519103",
    "listingUrl": "https://www.boliga.dk/bolig/2358261",
    "propertyType": "Ejerlejlighed",
    "propertyTypeEnglish": "Apartment (owner-occupied)",
    "propertyTypeCode": 3,
    "address": "Hjørringgade 5, st. tv",
    "zipCode": "2100",
    "city": "København Ø",
    "municipality": "København",
    "municipalityCode": 101,
    "price": 5550000,
    "squareMeterPrice": 75000,
    "priceChangePercent": -2.63,
    "rooms": 3,
    "size": 74,
    "buildYear": 1901,
    "soldDate": "2026-10-14",
    "salesType": "Alm. Salg",
    "latitude": 55.706127,
    "longitude": 12.587321,
    "ouId": 1131519103,
    "propertyGuid": "B14485A0-EAE5-4AD3-9030-DF90B0247A6E",
    "bfeNumber": 147847,
    "scrapedAt": "2026-10-20T13:55:02.114Z"
}

Use the Boliga scraper API

Call the Actor from your own code with the Apify API client. Find your token in Apify Console → Settings → Integrations.

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("parsebird/boliga-scraper").call(run_input={
    "listingType": "sold",
    "zipAreas": ["odense"],
    "propertyTypes": ["1", "2"],
    "soldYearMin": 2024,
    "maxItems": 1000,
})

for sale in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(sale["soldDate"], sale["address"], sale["price"], sale["squareMeterPrice"])

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('parsebird/boliga-scraper').call({
    listingType: 'forSale',
    zipAreas: ['copenhagen'],
    propertyTypes: ['3'],
    priceMax: 4000000,
    includeDetails: true,
    maxItems: 200,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((home) => console.log(home.price, home.address, home.agentName, home.agentPhone));

You can also start runs over plain HTTP from the API tab, or connect the Actor to AI agents through the Apify MCP server.

Use cases

• Danish house price analysis. Pull sold prices by postal code, property type and year to track price per m² over time.
• Property valuation. Compare a home with recent sales of similar size and build year on the same street or postal code.
• New listing and price drop alerts. Schedule a daily run and push new listings or priceChangePercent drops to Slack or Google Sheets.
• Real estate investing. Find foreclosures, long-listed homes (daysForSale) or cheap holiday homes and plots.
• Lead generation for agents and service providers. Collect listings with estate agent contacts by area.
• Research and journalism. Build datasets of the Danish housing market for reports and maps, using GPS coordinates and municipality codes.

How it works

1. Your filters go straight to Boliga's search for homes for sale or for sold prices. Areas become postal code ranges; sold-price searches run one postal code, range or sales type at a time because that's how Boliga's sold search works.
2. Properties are loaded 500 at a time, newest first for sold prices, until your limit or the end of the results.
3. With agent contacts turned on, each listing's detail page is loaded too.
4. A property that shows up twice is saved once. If Apify restarts the run on another server, it continues where it left off.

FAQ

Do I need a Boliga account? No. The Actor reads the same public listings and sold prices that anyone can see on Boliga.dk.

How far back do sold prices go? Boliga's sold-price records go back to 1992. Use Sold from year and Sold until year to pick a period.

Why can't I get sold prices for co-ops or plots? Boliga's sold-price records cover villas, townhouses, apartments, holiday homes and farms only. Andelsboliger, plots and villa apartments are available as homes for sale; for sold prices the Actor skips those types and tells you in the log.

Why does a search for holiday homes include apartments? Boliga files some listings under two types, for example a holiday apartment as both Ejerlejlighed and Fritidshus. Its search matches either type, so the record keeps Boliga's main type in propertyType and the second one in secondaryPropertyType.

Why do some energy labels show I, J or K? That's how Boliga stores the label for those listings. The Actor passes it on unchanged so you can map it yourself; open the listing on Boliga.dk to see the label as displayed.

Some sold records have no id. Why? Many sales, especially family sales and older ones, were never listed on Boliga. They still have the address page link in url, the address ID ouId and the BFE number.

Which URLs can I paste into Start URLs? Boliga API search URLs, either https://api.boliga.dk/api/v2/search/results?... for homes for sale or https://api.boliga.dk/api/v2/sold/search/results?... for sold prices, with Boliga's own parameters such as zipCodes, zipcodeFrom, zipcodeTo, propertyType, priceMax or salesDateMin.

Do I need a proxy? No. The Actor connects directly and switches to Apify Proxy on its own if Boliga starts refusing requests. Any proxy cost is included in the result price.

Can I schedule runs or export to Google Sheets? Yes. Use Apify Schedules for recurring runs and integrations for Google Sheets, Zapier, Make, Slack and webhooks.

Something is missing or broken? Open an issue on the Issues tab. Feedback and feature requests are welcome there too.

Is it legal to scrape Boliga.dk?

The Actor collects only public listings and sold prices that Boliga.dk shows to every visitor. It doesn't log in or access account data. Estate agent names, phone numbers and emails can be personal data under the EU's GDPR, so make sure you have a lawful basis to store and contact them. Read more in Apify's blog post Is web scraping legal?

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