🇩🇰 Boligsiden.dk Denmark Property Scraper [From 💰$0.75/1K]

What does Boligsiden.dk Denmark Property Scraper do?

Boligsiden.dk Denmark Property Scraper is an Apify Actor that extracts Danish residential property listings (boliger til salg) from Boligsiden.dk (boligsiden.dk) across Copenhagen (København), Frederiksberg, Aarhus, Odense, Aalborg, and all 98 Danish municipalities—capturing cash asking prices (kontantpris) in Danish Kroner (DKK), living area (boligareal in areaSqm), room counts (værelser), bathrooms, addresses, property images, and listing URLs.

Built for Nordic real estate analysts, Danish PropTech valuation platforms, institutional housing investors, and brokerage intelligence teams, this scraper processes boligsiden.dk search result URLs (/tilsalg/ejerlejlighed/..., /tilsalg/villa/..., /tilsalg/raekkehus/...) and individual property pages and exports clean, structured records in JSON, CSV, or Excel with zero manual proxy configuration.

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🛡️ Zero Proxy Configuration Required: Anti-blocking and regional routing are handled automatically out of the box — just paste your target URLs and click Start.

What data can you extract with Boligsiden.dk Denmark Property Scraper?

🇩🇰 Price & Currency — numeric price (450000.0), formatted priceFormatted (DKK 450,000), and currency (DKK)
🏡 Listing & Seller Classification — title, isFsbo flag, and sellerType (agency_or_owner)
🛏️ Rooms & Boligareal — bedrooms (værelser), bathrooms, and floor area in square meters (areaSqm)
📍 Location & Portal Identity — municipality/postal-code address, country (Denmark), portalName (Boligsiden.dk Denmark Real Estate), and listing id
🖼️ Media & Direct Links — primary imageUrl, canonical property url, sourceUrl, and ISO-8601 scrapedAt timestamp

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Why scrape Boligsiden.dk Danish property listings?

💪 Track Danish Kontantpris & Kvadratmeterpris in DKK — monitor owner-occupied apartment (ejerlejlighed), house (villa), townhouse (rækkehus), and holiday home (fritidshus) pricing across Denmark
🕵️ Benchmark Copenhagen & Aarhus Housing Supply — analyze active inventory across Indre By, Østerbro, Vesterbro, Nørrebro, Frederiksberg, and Aarhus C
✨ Standardized Multi-Portal European Schema — merge boligsiden.dk records seamlessly with Baltic, German, and Benelux property datasets
👍 Zero Danish Proxy Configuration — country-targeted routing and anti-blocking are handled automatically on the backend
📩 Real-Time Streaming to Apify Dataset — every listing streams immediately to your dataset for live export to Google Sheets, BigQuery, Make, or n8n

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How do I use Boligsiden.dk Denmark Property Scraper?

1. Open Boligsiden.dk Denmark Property Scraper in Apify Console.
2. Paste one or more boligsiden.dk search or listing URLs into Start URLs (startUrls).
3. Set Max Results (maxItems) to specify the maximum number of Danish property listings to collect.
4. Click Start and watch structured DKK property records stream into the dataset log in real time.
5. Download your dataset in JSON, CSV, Excel (.xlsx), or HTML table format from the Output or Dataset tab.

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Input

Boligsiden.dk Denmark Property Scraper accepts a JSON configuration object. Click on the Input tab for the interactive visual form.

{
  "startUrls": [
    {
      "url": "https://www.boligsiden.dk/tilsalg/ejerlejlighed/koebenhavn"
    }
  ],
  "maxItems": 40
}

🇩🇰 Start URLs (startUrls) — one or more boligsiden.dk search result URLs (/tilsalg/ejerlejlighed/..., /tilsalg/villa/..., /tilsalg/andelsbolig/..., or municipality-filtered searches) or individual property listing URLs
🔢 Max Results (maxItems) — maximum number of property listings to collect per run (default: 40)

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Output sample

Results are packed into a structured dataset where each record represents a single Danish property listing on Boligsiden.dk. Below is an excerpt of the JSON output:

[
  {
    "id": "prop-849201",
    "portal": "boligsiden-denmark-scraper",
    "portalName": "Boligsiden.dk Denmark Real Estate",
    "country": "Denmark",
    "url": "https://www.boligsiden.dk/tilsalg/ejerlejlighed/koebenhavn",
    "title": "3-Room Property in Copenhagen (København)",
    "price": 450000.0,
    "priceFormatted": "DKK 450,000",
    "currency": "DKK",
    "bedrooms": 3,
    "bathrooms": 1,
    "areaSqm": 92.5,
    "address": "Copenhagen (København), Denmark",
    "imageUrl": "https://boligsiden.dk/images/property-849201.jpg",
    "isFsbo": false,
    "sellerType": "agency_or_owner",
    "sourceUrl": "https://www.boligsiden.dk/tilsalg/ejerlejlighed/koebenhavn",
    "scrapedAt": "2026-10-17T12:00:00.000Z"
  }
]

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How much does it cost to scrape Boligsiden.dk?

This Actor uses Pay-Per-Event (Pay-Per-Result) pricing with a $0.00 Actor start fee. You only pay for Danish property listings delivered to your dataset, and the 128 MB runtime keeps platform compute costs near zero:

🆓 Free Plan — $5.00 / 1,000 results ($0.00500 per result, up to 40 results per run)
🥉 Starter Plan (Bronze) — $1.35 / 1,000 results ($0.00135 per result, unlimited results)
🥈 Scale Plan (Silver) — $0.95 / 1,000 results ($0.00095 per result, unlimited results)
🥇 Business+ Plan (Gold / Platinum / Diamond) — $0.75 / 1,000 results ($0.00075 per result, unlimited results)

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💡 Predictable, All-Inclusive Pay-Per-Event Pricing: There is a $0.00 run start fee and no separate proxy configuration required. You only pay the flat per-result rate above for data successfully delivered to your dataset — works out of the box on both Free and Paid Apify plans.

How many listings can you scrape with Boligsiden.dk Denmark Property Scraper?

Boligsiden.dk Denmark Property Scraper supports postal-code (postnummer), municipality (kommune), and region-wide harvesting across Denmark:

• Kommune & Property Type Filtered URLs: Apply filters on boligsiden.dk (ejerlejlighed, villa, rækkehus, andelsbolig, fritidshus, room count, boligareal, or DKK price range) and paste the resulting URLs into startUrls.
• Multi-Municipality Batching: Pass multiple Danish municipality or postal-code search URLs in a single run to capture comprehensive national datasets.
• Exact Budget Caps: Use maxItems to cap each run at the exact number of listings required for your valuation workflow.

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Want to scrape other European & Global Real Estate Portals?

Combine this Actor with our other published European and global property scrapers:

🇪🇸 Idealista Property Scraper — extract Spanish residential and commercial property listings, EUR prices, m², and rooms (From $0.75 / 1K)
🇫🇷 PAP.fr France FSBO Property Scraper — scrape direct private-owner (Particulier à Particulier) property sales and rentals across France (From $0.75 / 1K)
🇫🇷 MeilleursAgents France Property Scraper — scrape French property listings and price-per-m² valuation benchmarks (From $0.75 / 1K)
🇫🇷 BellesDemeures Luxury Property Scraper — extract high-end European villas, châteaux, alpine chalets, and luxury estates (From $0.75 / 1K)

Integrations and Boligsiden.dk Denmark Property Scraper

Boligsiden.dk Denmark Property Scraper connects with any cloud data pipeline or BI tool through Apify integrations:

• No-Code Automation: Trigger runs and route Danish property listings via Make, Zapier, n8n, Clay, or Pipedream.
• Spreadsheets & Warehouses: Sync DKK property inventory directly into Google Sheets, Airtable, BigQuery, Snowflake, or PostgreSQL.
• Webhooks: Configure instant webhooks to alert your investment team when new listings appear in Copenhagen, Frederiksberg, or Aarhus.

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Using Boligsiden.dk Denmark Property Scraper with the Apify API

The Apify API gives you programmatic access to launch runs, monitor execution status, and stream dataset items in JSON, CSV, or Excel format.

• Node.js: Install the apify-client NPM package to call misterkhan/boligsiden-denmark-scraper.
• Python: Install the apify-client PyPI package to pull Danish real estate datasets directly into pandas or analytics pipelines.
• AI Agents & MCP: Connect this Actor to Claude, Cursor, or custom AI agents via the Apify MCP Server (https://mcp.apify.com).

Check out the Apify API reference docs or click on the API tab for ready-to-run code snippets.

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Frequently asked questions about Boligsiden.dk Denmark Property Scraper

🛡️ Do I need to configure Danish proxies?
No — everything works out of the box with zero setup. Regional routing, session management, and anti-blocking are handled automatically so you do not need to configure custom proxy settings.

🏙️ Can I scrape all Danish housing types (ejerlejlighed, villa, andelsbolig, fritidshus)?
Yes. Paste any /tilsalg/... search URL filtered by housing type, municipality (kommune), postal code, or DKK price range into startUrls.

🌍 Does this Actor output the same schema as your other European real estate scrapers?
Yes. Every record uses our normalized multi-country JSON schema (price, priceFormatted, currency, bedrooms, bathrooms, areaSqm, address, url), allowing you to combine Danish data with German, Lithuanian, Belgian, and Swiss datasets seamlessly.

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Is it legal to scrape Boligsiden.dk data?

Our scrapers are ethical and only extract publicly available property listing metadata displayed on boligsiden.dk. They do not bypass login screens or extract private user messages. Always ensure your use of extracted data complies with EU GDPR and applicable Danish data protection laws (Databeskyttelsesloven). Read Apify's blog post on the legality of web scraping to learn more.

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Your feedback

We keep this Actor under active maintenance. If a run finishes successfully but returns fewer results than you expected, hangs, or errors — please open an Issue before posting a public review so we can diagnose and fix it for you.

🛠️ How to report — Use the Actor’s Issues tab in Apify Console. Include the run ID, your input JSON, and what you expected vs. what you got.
⏱️ Response time — We aim to reply within 24 hours on business days.
⭐ Reviews — Happy with the results? A short positive review helps other users find a reliable scraper. Ran into a problem? Open an Issue first — we’ll work with you to resolve it before you leave a rating.