Get your data from boligsiden.dk: houses, apartments, and commercial properties in Denmark.
Boligsiden Scraper will help you search and extract data from boligsiden.dk, a Danish real estate listing platform.
You can extract property details such as addresses, prices, room counts, descriptions, and other information from the website. Boligsiden Scraper supports REST API which gives you access to the extracted dataset, enables you to download it in various formats and use it in other applications.
Boligsiden Scraper allows you to search and extract property data from Boligsiden, Denmark's leading real estate portal. The scraper supports the REST API which gives you access to the extracted dataset, enables you to download it in various formats, and use it in other applications.
With this web scraping tool, you can extract the following data from Boligsiden:
🏠 Property name | 💰 Price |
🚪 Number of rooms | 📍 Location details |
📝 Description | 🖼️ Image URL |
Boligsiden.dk is a popular website in Denmark for listing residential and commercial properties, which makes it a valuable source of data for anyone looking to buy or rent a property in the country.
Whether you're a real estate agent, property developer, or simply looking to invest in Danish real estate, scraping Boligsiden.dk can help you:
Boligsiden Scraper is designed for easy and fast start even if you've never extracted data from websites before. Here's how you can extract data from Boligsiden with this web scraping tool:
The actor accepts the following input parameters:
location
(string) - The location to search for properties (e.g., city name or postal code).housingType
(string) - The type of housing to search for (e.g., apartment, house, villa).propertyStatus
(string, optional) - The status of the properties to search for (on_market, rent, or sold).maxItems
(integer) - The maximum number of property listings to scrape.proxyConfiguration
(object) - Proxy configuration settings.Example:
1{ 2 "location": "Copenhagen", 3 "housingType": "apartment", 4 "propertyStatus": "on_market", 5 "maxItems": 100, 6 "proxyConfiguration": { 7 "useApifyProxy": true, 8 "apifyProxyGroups": [] 9 } 10}
Note: The location
, housingType
, and maxItems
fields are required.
The scraped data will be saved as a dataset. Each item will represent a property listing. You can choose in what format to download your data: JSON, JSONL, HTML table, CSV, Excel spreadsheet, or NDJSON.
In the output below you'll see a preview of the data for each item in the dataset. Each item in the dataset will look similar to the format below:
1{ 2 "url": "https://www.boligsiden.dk/adresse/floravej-4-9000-aalborg-08512005___4_______?udbud=9edf29ca-5533-42e6-8370-e746377884fc", 3 "name": "Floravej 4, 9000 Aalborg", 4 "numberOfRooms": 3, 5 "postalCode": 9000, 6 "streetAddress": "Floravej 4", 7 "addressLocality": "Aalborg", 8 "price": 2495000, 9 "priceCurrency": "DKK", 10 "description": "YDERST VELBELIGGENDE EJENDOM I HASSERIS· Allerbedste beliggenhed på blind vej\n· Bo lige op til grønne arealer...", 11 "image": "https://images.boligsiden.dk/images/case/9edf29ca-5533-42e6-8370-e746377884fc/600x400/df405b1a-7ebf-4435-b726-63d21441b199.webp" 12}
Check out our other real estate scrapers:
This FlatFox Properties Scraper doesn’t exactly do what you need? You can always build your own! Lexis Solutions is a certified Apify Partner. We can help you with custom solutions or data extraction projects.
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!