Boligsiden.dk Scraper
by lexis-solutions
Extract structured real estate data from Boligsiden.dk. Get listings for houses, apartments, and commercial properties in Denmark for market analysis or lead generation.
Opens on Apify.com
About Boligsiden.dk Scraper
Need property data from Denmark's biggest real estate portal? This Boligsiden.dk scraper pulls listings for houses, apartments, and commercial properties, turning the site's vast database into structured data you can actually use. I've used it to gather pricing trends, agent contacts, and property specifics without the manual hassle. It handles the extraction so you can focus on analysis, whether you're building a market comparison tool, generating leads for real estate services, or conducting investment research. You get clean, organized data ready for spreadsheets or your own applications. It's straightforward: point it at your search criteria on Boligsiden, and it collects the details—location, price, size, features, and seller info. For anyone working in Danish real estate, from analysts to developers, this automates the tedious first step of data collection.
What does this actor do?
Boligsiden.dk Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Boligsiden.dk Scraper
Scrapes property listings from Boligsiden.dk, Denmark's leading real estate portal. Extracts structured data for analysis and integration via a REST API.
Overview
This actor is a web scraper for Boligsiden.dk. It searches the site based on your criteria and extracts detailed property listings into a structured dataset. The data is accessible via the Apify API and can be downloaded in multiple formats for use in other applications, supporting real estate analysis, market research, and lead generation.
Key Features
- Targeted Scraping: Search for properties by location, housing type, and status (for sale, for rent, or sold).
- Comprehensive Data Extraction: Captures key property details including:
- Property name and full address
- Price and currency
- Number of rooms
- Description text
- Image URLs
- Flexible Output: Download results as JSON, CSV, Excel, HTML, XML, or JSONL.
- API Access: Integrate the scraped data directly into your applications using the Apify REST API.
- Proxy Support: Built-in configuration for using proxies to manage request rates.
How to Use
- Ensure you have an Apify account.
- Open the Boligsiden Scraper on the Apify platform.
- Configure your search using the input parameters (see below).
- Run the actor. It will navigate the site and extract matching listings.
- Once finished, download your dataset from the actor's run console in your preferred format.
Input
Configure the scraper using a JSON input object. The location, housingType, and maxItems fields are required.
{
"location": "Copenhagen",
"housingType": "apartment",
"propertyStatus": "on_market",
"maxItems": 100,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": []
}
}
location(string): Search location (e.g., city name or postal code).housingType(string): Type of property (e.g., "apartment", "house", "villa").propertyStatus(string, optional): Filter by listing status:"on_market","rent", or"sold".maxItems(integer): Maximum number of property listings to scrape.proxyConfiguration(object): Settings for proxy usage, primarily using Apify Proxy.
Output
The actor saves results as a dataset where each item is a property listing. Below is an example of the output structure.
{
"url": "https://www.boligsiden.dk/adresse/floravej-4-9000-aalborg-08512005___4_______?udbud=9edf29ca-5533-42e6-8370-e746377884fc",
"name": "Floravej 4, 9000 Aalborg",
"numberOfRooms": 3,
"postalCode": 9000,
"streetAddress": "Floravej 4",
"addressLocality": "Aalborg",
"price": 2495000,
"priceCurrency": "DKK",
"description": "YDERST VELBELIGGENDE EJENDOM I HASSERIS· Allerbedste beliggenhed på blind vej...",
"image": "https://images.boligsiden.dk/images/case/9edf29ca-5533-42e6-8370-e746377884fc/600x400/df405b1a-7ebf-4435-b726-63d21441b199.webp"
}
Notes:
* The actor respects the website's robots.txt file and includes delays to avoid overloading the server.
* Website structure changes may require updates to the scraper.
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Boligsiden.dk Scraper now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- lexis-solutions
- Pricing
- Paid
- Total Runs
- 738
- Active Users
- 38
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