# 🇩🇰 Boligsiden.dk Denmark Property Scraper \[From 💰$0.75/1K] (`misterkhan/boligsiden-denmark-scraper`) Actor Extract Danish real estate listings from Boligsiden.dk across Copenhagen, Aarhus & Odense — kontantpris in DKK, m²-pris, ejerudgift, boligareal m², værelser, liggetid & estate agents. - **URL**: https://apify.com/misterkhan/boligsiden-denmark-scraper.md - **Developed by:** [Khan](https://apify.com/misterkhan) (community) - **Categories:** Real estate, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.75 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ### 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. *** > 🛡️ **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
*** ### 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
*** ### 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. *** ### Input Boligsiden.dk Denmark Property Scraper accepts a JSON configuration object. Click on the [Input tab](https://apify.com/misterkhan/boligsiden-denmark-scraper/input-schema) for the interactive visual form. ```json { "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)
*** ### 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: ```json [ { "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" } ] ``` *** ### 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)
*** > 💡 **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. *** ### Want to scrape other European & Global Real Estate Portals? Combine this Actor with our other published European and global property scrapers: 🇪🇸 **[Idealista Property Scraper](https://apify.com/misterkhan/idealista-scraper)** — extract Spanish residential and commercial property listings, EUR prices, m², and rooms (From $0.75 / 1K)
🇫🇷 **[PAP.fr France FSBO Property Scraper](https://apify.com/misterkhan/pap-fr-particuliers-scraper)** — scrape direct private-owner (Particulier à Particulier) property sales and rentals across France (From $0.75 / 1K)
🇫🇷 **[MeilleursAgents France Property Scraper](https://apify.com/misterkhan/meilleursagents-france-scraper)** — scrape French property listings and price-per-m² valuation benchmarks (From $0.75 / 1K)
🇫🇷 **[BellesDemeures Luxury Property Scraper](https://apify.com/misterkhan/bellesdemeures-luxury-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](https://docs.apify.com/platform/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. *** ### 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](https://docs.apify.com/api/v2) or click on the [API tab](https://apify.com/misterkhan/boligsiden-denmark-scraper/api) for ready-to-run code snippets. *** ### 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. *** ### 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](https://blog.apify.com/is-web-scraping-legal/) to learn more. *** ### 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](https://apify.com/misterkhan/boligsiden-denmark-scraper/issues/open) 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.
# Actor input Schema ## `startUrls` (type: `array`): Paste one or more Boligsiden.dk Denmark Real Estate (boligsiden.dk) search or listing URLs (e.g., `https://www.boligsiden.dk/tilsalg/ejerlejlighed/koebenhavn`). ## `maxItems` (type: `integer`): Maximum number of property listings to collect (Free plan runs are capped at 40 items per run; paid Apify plans support unlimited extraction). ## Actor input object example ```json { "startUrls": [ { "url": "https://www.boligsiden.dk/tilsalg/ejerlejlighed/koebenhavn" } ], "maxItems": 40 } ``` # Actor output Schema ## `results` (type: `string`): All extracted property listings from Hemnet Sweden Property (hemnet.se). ## `usage_summary` (type: `string`): Execution telemetry and extraction summary stored in the default key-value store. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://www.boligsiden.dk/tilsalg/ejerlejlighed/koebenhavn" } ], "maxItems": 40 }; // Run the Actor and wait for it to finish const run = await client.actor("misterkhan/boligsiden-denmark-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": [{ "url": "https://www.boligsiden.dk/tilsalg/ejerlejlighed/koebenhavn" }], "maxItems": 40, } # Run the Actor and wait for it to finish run = client.actor("misterkhan/boligsiden-denmark-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.boligsiden.dk/tilsalg/ejerlejlighed/koebenhavn" } ], "maxItems": 40 }' | apify call misterkhan/boligsiden-denmark-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,misterkhan/boligsiden-denmark-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/aZ1RwWTs5lam5QzFw/builds/q5mUUTL3TedgxFlgK/openapi.json