Boligsiden.dk Real Estate Scraper

Scrape Danish property listings from Boligsiden.dk in bulk. Pull villas, condos (ejerlejligheder), townhouses, holiday homes, cooperatives and more — with asking price, price per m², rooms, living and lot area, year built, energy label, full address + GPS coordinates, monthly expense, public valuation, mortgage figures, realtor contact details, photos, and the complete public sale-price history for every address.

No login, no API key, no browser. The actor reads Boligsiden's own public JSON API and paginates deep, so a single run returns thousands of clean, structured rows ready for a spreadsheet, database or model.

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What you get

One row per listing, with these fields:

Field	Description
caseID	Boligsiden's unique listing id
addressType	villa, condo, terraced house, holiday house, cooperative, …
status	Listing status (e.g. open)
boligsidenUrl	Direct link to the listing on Boligsiden.dk
realtorListingUrl	Link to the listing on the realtor's own site
roadName, houseNumber, floor, door	Street address parts
zipCode, city, placeName	Postal code, city, local place name
municipality, municipalityCode, municipalitySlug	Danish municipality (kommune)
province, regionCode	Region / province
latitude, longitude	GPS coordinates
priceCash	Asking price in DKK
perAreaPrice	Price per m² in DKK
priceChangePercentage	% change from the original asking price
monthlyExpense	Owner's monthly expense (ejerudgift) in DKK
latestValuation	Latest public valuation (offentlig vurdering) in DKK
downPayment, grossMortgage, netMortgage	Financing figures in DKK
housingArea, weightedArea, lotArea	Living area, weighted area, plot size (m²)
numberOfRooms, numberOfFloors, numberOfBathrooms, numberOfToilets	Room counts
yearBuilt	Construction year
energyLabel	Energy label (e.g. a2010, b, c)
hasBalcony, hasElevator, hasTerrace	Amenity flags
daysListed, daysOnMarketTotal	Days on market
descriptionTitle, descriptionBody	Listing headline and full description text
realtorName, realtorPhone, realtorEmail, realtorCvr	Realtor contact + CVR (company) number
realtorRoadName, realtorHouseNumber, realtorZipCode, realtorCity	Realtor office address
defaultImage, images, imageCount	Main photo + full gallery (high-res URLs)
saleHistory	Every past registered sale for the address: date, amount, perAreaPrice, type
searchAddressTypes, searchLocation, scrapedAt	Provenance for each row

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Input

Everything is optional — with no input at all, the actor scrapes the whole for-sale market (up to 10,000 listings).

• Property types (addressTypes) — which types to include. Leave empty for all types. Valid values: villa, condo, terraced house, holiday house, cooperative, villa apartment, double house, multiple family house, farm, hobby farm, cattle farm, pig farm, plant farm, forest, allotment, full year plot, holiday plot, houseboat, garage, parking, business, room.
• Municipalities (municipalities) — a list of Danish municipality slugs (e.g. koebenhavn, aarhus, odense, aalborg, gentofte, faxe). This is the bulk axis — one deep search runs per municipality and the results are merged and de-duplicated, so a list of municipalities pulls far past the 10,000-per-search limit.
• ZIP codes (zipCodes) — a list of postal codes (e.g. 2100, 8000, 5000). Used when no municipalities are given.
• Min / max price (priceMin, priceMax) — asking price bounds in DKK.
• Min / max living area (areaMin, areaMax) — housing area bounds in m².
• Max results per search (maxResultsPerSearch) — cap per municipality / ZIP / all-Denmark search (up to 10,000).
• Max results overall (maxResults) — optional total cap across all searches.

Example input

{
  "addressTypes": ["villa", "condo", "terraced house"],
  "municipalities": ["koebenhavn", "aarhus", "odense", "aalborg"],
  "priceMin": 1000000,
  "maxResultsPerSearch": 5000
}

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Output sample

{
  "caseID": "99110557-47cf-459b-badb-522cf04f114f",
  "addressType": "villa",
  "status": "open",
  "boligsidenUrl": "https://www.boligsiden.dk/adresse/aavaenget-9-4690-haslev-03201285___9_______",
  "realtorListingUrl": "https://www.edc.dk/sag/?sagsnr=48007976",
  "roadName": "Åvænget",
  "houseNumber": "9",
  "zipCode": 4690,
  "city": "Haslev",
  "placeName": "Dalby",
  "municipality": "Faxe",
  "province": "Vest- og Sydsjælland",
  "latitude": 55.309086,
  "longitude": 12.054049,
  "priceCash": 3345000,
  "perAreaPrice": 16625,
  "monthlyExpense": 3359,
  "latestValuation": 1300000,
  "downPayment": 170000,
  "grossMortgage": 17917,
  "netMortgage": 14313,
  "housingArea": 190,
  "lotArea": 1012,
  "numberOfRooms": 5,
  "numberOfBathrooms": 1,
  "yearBuilt": 1975,
  "energyLabel": "a2010",
  "daysListed": 40,
  "descriptionTitle": "nydeligt renoveret étplansvilla",
  "realtorName": "EDC Selandia Haslev",
  "realtorPhone": "56313300",
  "realtorEmail": "480@edc.dk",
  "realtorCvr": "29220425",
  "defaultImage": "https://images.boligsiden.dk/images/case/99110557-47cf-459b-badb-522cf04f114f/1440x960/0e4bfc0b-a1fe-4d7f-8940-c7104bc1e97f.webp",
  "imageCount": 5,
  "saleHistory": [
    { "date": "2021-08-30", "amount": 2050000, "perAreaPrice": 10199, "type": "normal" },
    { "date": "2004-08-23", "amount": 1495000, "perAreaPrice": null, "type": "normal" }
  ]
}

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Use cases

• Real-estate market analysis — track prices per m², days on market and price changes across municipalities over time.
• Lead generation for realtors & proptech — build a contact list of active listing agents (name, phone, email, CVR) by area.
• Property investment & valuation — combine asking price, public valuation and the full sale-price history to spot under- and over-priced homes.
• Mortgage, insurance & renovation targeting — reach owners of newly-listed homes with financing, coverage or renovation offers.
• Data feeds & aggregators — power your own property portal, dashboard or model with fresh, structured Danish listing data.

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How many results can I get?

Each individual search is capped by Boligsiden at 10,000 listings. To pull more than that, split your run across municipalities (Denmark has ~98) or ZIP codes — the actor runs one deep search per location and merges everything, de-duplicated by listing id. The whole Danish for-sale market is roughly 40,000+ listings, so a run covering the major municipalities returns the lot.

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FAQ

Do I need a Boligsiden account or API key? No. The actor uses Boligsiden's public JSON API — no login, no key.

How fresh is the data? It's read live from Boligsiden at run time, so it reflects what's on the site right now. Schedule the actor daily to keep a dataset current.

Are sold properties included? The actor scrapes homes currently for sale. Each row's saleHistory field, however, contains the address's past registered sale prices and dates.

Why is saleHistory (or latestValuation, lotArea) empty on some rows? These come straight from public registries and simply aren't recorded for every property — e.g. condos have no plot (lotArea), and a home that has never traded has no saleHistory. Rows without them are still fully valid.

Is the text in Danish? Yes — descriptions, city and street names are in Danish, correctly encoded in UTF-8 (æ, ø, å preserved).

What does it cost? Billing is pay-per-result: you're charged once for each listing returned. Blocked or empty pages are never charged.