Boliga Denmark Scraper - Homes for Sale

What does Boliga Denmark Scraper do?

Boliga Denmark Scraper extracts structured listing data from boliga.dk — including contact details, prices, and location data. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (contact information) where the source provides them.

How to use this actor

• 👉 Register for a free Apify account — no credit card required.
• 🎉 Just click Sign up free on Apify → and complete a quick signup.
• 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
• ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

• 💵 Structured pricing: structured price on every listing — numbers you can sort and compare without parsing price text.
• 🏠 Property details: area, propertyType, rooms and lotSize on each listing as separate fields, not listing text.
• 🔋 Energy rating: energyClass where the listing states it.
• 🤝 Agent and agency: agencyName show who markets each listing.
• 📍 Coordinates: latitude and longitude on each listing that has a location, ready for a map.
• 🏘️ Address: street, city, zipCode and country as separate fields for every listing that lists them.
• 🔍 Keyword search: search boliga.dk by keyword with the query input, in the place you name in location.
• 🧭 Radius search: search around a point with lat, lon and radiusKm.
• 🔗 Paste-mode: paste boliga.dk URLs into startUrls to scrape exactly the pages you picked in the browser.
• ♻️ Incremental mode: daily runs emit only listings that are new or whose price/condition changed since last run. Perfect for inventory-diff dashboards and competitive pricing alerts. Saves 80–95% on recurring monitoring.
• 🔔 Notifications: telegram / Slack / Discord / WhatsApp / webhook alerts on each run. Combine with incremental to ping only when prices or inventory actually move.

What data can you extract from boliga.dk?

Each result includes Core listing fields (id, ouId, guid, bfeNr, dawaId, adresseId, ouAddress, and url, and more), detail fields when enrichment is enabled (detailFetched), and contact information (agencyPhone and agencyEmail). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Detail enrichment is on by default and adds richer fields such as contact information where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Free-text search: street, city or postcode (e.g. "Nyhavn", "Aarhus C"). Required if no startUrls provided.
• location — Narrow by place: a 4-digit Danish postcode (e.g. "9500") or a 3-digit municipality code (e.g. "101" for Copenhagen). Any other text is added to the search term.
• maxResults — Maximum total results (0 = unlimited). (default: 100)
• startUrls — Paste boliga.dk search-results URLs (www.boliga.dk/resultat?...) or regional result pages (e.g. www.boliga.dk/resultat/landsdele/koebenhavn-by/alle-til-salg): set the filters on the site, then copy the address bar. Each URL becomes its own search task; results are merged and deduped by listing ID across all URLs. When provided, startUrls REPLACE the query/location fields (each supported URL becomes one task; unsupported URLs are skipped, and if none is supported the run stops with an input error). (default: [])
• includeDetails — Also fetch each listing's detail page for the estate agent's contact details (agency name, phone, e-mail, website), the agent's own listing URL and the registered area. (default: true)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• excludeEmptyFields — Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards. (default: false)
• incrementalMode — Compare against previous run state. stateKey is optional — defaults to a value derived from search inputs (queries, locations, startUrls, country) so different filter sets never share state. (default: false)
• stateKey — Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs.
• skipReposts — When incremental, skip listings whose content matches an expired listing from a prior run (cross-run duplicate detection). (default: false)
• emitUnchanged — When incremental mode is on, also emit listings whose content has not changed since the last run. (default: false)
• emitExpired — When incremental mode is on, also emit listings that were seen before but are no longer found. (default: false)
• ...and 17 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "København",
  "maxResults": 50
}

Incremental tracking — Only emit listings that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "København",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "københavn-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "København",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured listing records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example listing record

{
  "id": "2373593",
  "ouId": 1763449237,
  "guid": "67AA988C-9ACC-4DDF-838A-2325925E3D51",
  "bfeNr": 104384,
  "dawaId": "1DF3184C-6BB5-61D6-E044-0003BA298018",
  "adresseId": "1DF3184C-6BB5-61D6-E044-0003BA298018",
  "ouAddress": "nyhavn-12d-1-th-1051-koebenhavn-k",
  "url": "https://www.boliga.dk/bolig/2373593/nyhavn-12d-1-th-1051-koebenhavn-k",
  "portalUrl": "https://www.boliga.dk/bolig/2373593/nyhavn-12d-1-th-1051-koebenhavn-k",
  "addressUrl": "https://www.boliga.dk/adresse/nyhavn-12d-1-th-1051-koebenhavn-k-1763449237",
  "street": "Nyhavn 12D, 1. th.",
  "cleanStreet": "Nyhavn",
  "city": "København K",
  "zipCode": 1051,
  "municipality": 101,
  "latitude": 55.6795,
  "longitude": 12.58939,
  "area": 1,
  "country": "DK",
  "propertyType": 3,
  "propertyTypeName": "Ejerlejlighed",
  "rooms": 2,
  "size": 110,
  "lotSize": 0,
  "basementSize": 0,
  "floor": 1,
  "buildYear": 1780,
  "energyClass": "C",
  "registeredArea": 102,
  "price": 8595000,
  "priceCurrency": "DKK",
  "squaremeterPrice": 78136,
  "priceChangePercentTotal": 0,
  "priceChangeCashTotal": 0,
  "downPayment": 430000,
  "exp": 6395,
  "net": 0,
  "monthlyExpenses": 6395,
  "monthlyNet": 0,
  "evaluationPrice": 0,
  "lastSoldPrice": 0,
  "lastSeenPrice": 0,
  "daysForSale": 13,
  "views": 119,
  "isActive": true,
  "isForeclosure": false,
  "selfsale": false,
  "onTheWay": false,
  "createdDate": "2026-10-05T10:34:05.553Z",
  "lastSeen": "2026-10-17T23:31:53.583Z",
  "agentRegId": 468,
  "agentDisplayName": "home Christianshavn - City",
  "domainId": 3,
  "isPremiumAgent": true,
  "estateUrl": "https://home.dk/salg/lejligheder/nyhavn-12d-1th-1051-koebenhavn-k/sag-1160002039/?utm_source=boliga",
  "agencyName": "home Christianshavn - City",
  "agencyUrl": "https://home.dk/ejendomsmaegler/home-christianshavn-city/maegler-116/",
  "agencyPhone": "32951400",
  "agencyEmail": "christianshavn@home.dk",
  "agencyAddress": "Strandgade 20",
  "imageUrl": "https://i.boliga.org/dk/550x/2373/2373593.jpg",
  "imageUrls": [
    "https://i.boliga.org/dk/550x/2373/2373593.jpg"
  ],
  "images": [
    {
      "id": 2373593,
      "date": "2026-10-19T00:42:38.000Z",
      "url": "https://i.boliga.org/dk/550x/2373/2373593.jpg",
      "portalUrl": "https://i.boliga.org/dk/550x/2373/2373593.jpg"
    }
  ],
  "title": "Ejerlejlighed, Nyhavn 12D, 1. th.",
  "entityName": "home Christianshavn - City",
  "location": "Nyhavn 12D, 1. th., 1051 København K",
  "listingId": "a50935d9f5bf01d365385f709ce3634185e40395ab2d9fa5c7f8c9089f474c34",
  "sourceQuery": "København",
  "searchQuery": "København",
  "contentQuality": "full",
  "detailFetched": true,
  "scrapedAt": "2026-10-19T00:42:36.726Z",
  "source": "boliga.dk",
  "contentHash": "249c5e8e48070a679114a9b676386b9bc309ceaaa03e8b8bafcdf0fc7e8e2634"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape boliga.dk

1. Go to Boliga Denmark Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Keep includeDetails on (the default) for contact info, or turn it off for faster, cheaper runs.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract listing data from boliga.dk for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape boliga.dk?

Boliga Denmark Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.00005 per run
• Per result: $0.00179 per listing record

Example costs:

• 10 results: $0.018
• 25 results: $0.045
• 100 results: $0.18
• 200 results: $0.36
• 500 results: $0.9

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 listings per run, daily polling (30 runs/month). Costs scale linearly with the number of listings.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.45	$0.02	$0.43 (95%)	$0.67
15% — moderate broad query	$0.45	$0.07	$0.38 (85%)	$2.02
30% — high-volume aggregator	$0.45	$0.13	$0.31 (70%)	$4.03

Full re-scrape monthly cost at the same cadence: $13.43. First month with incremental costs $1.10 / $2.40 / $4.34 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from boliga.dk?

The number of results depends on the search query and available listings on boliga.dk. Use the maxResults parameter to control how many results are returned per run.

Does Boliga Denmark Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Boliga Denmark Scraper with other apps?

Yes. Boliga Denmark Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Boliga Denmark Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Boliga Denmark Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape boliga.dk?

This actor extracts publicly available data from boliga.dk. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on boliga.dk. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Boliga Denmark's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Boliga Denmark or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

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