Boligsiden.dk Scraper - Lavpris Low-costπ²π₯π©π°π
Pricing
from $0.00005 / actor start
Boligsiden.dk Scraper - Lavpris Low-costπ²π₯π©π°π
Scrape Boligsiden.dk property listings π©π°π with a powerful real estate scraper. Extract addresses, property types, prices, price per mΒ², agent names, and listing URLs from search pages. Ideal for housing market analysis, price tracking, and building structured real estate datasets ππ
Pricing
from $0.00005 / actor start
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Prime Scrape
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4 days ago
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Boligsiden Property Scraper π π©π°π
The Boligsiden Property Scraper is a powerful and scalable Apify Actor designed to extract structured real estate listings directly from Boligsiden.
It enables housing market analysis, property price tracking, investment research, and structured dataset creation from one of Denmarkβs largest real estate platforms.
Boligsiden Property Scraper π π©π°π
Boligsiden Property Scraper er en kraftfuld og skalerbar Apify Actor, der er designet til at udtrække strukturerede ejendomsannoncer direkte fra Boligsiden.
Den muliggør analyse af boligmarkedet, sporing af ejendomspriser, investeringsresearch samt opbygning af strukturerede datasæt fra en af Danmarks største ejendomsplatforme.
π― What This Scraper Does
Simply provide one or more Boligsiden search URLs and the scraper handles everything automatically.
β Extracts structured property listings from Boligsiden
β Supports multiple search URLs in one run
β Collects key property data (price, area, rooms, etc.)
β Captures agent info and listing metadata
β Handles pagination automatically
β Stops at your defined max items limit
β Ideal for real estate analytics & investment research
β Ready for automation workflows
β Clean and structured output format
π Data Extracted
π Property Listing Information
| Field | Description |
|---|---|
π caseId | Unique property listing ID |
π address | Property address |
π propertyType | Type of property |
β‘ energyLabel | Energy efficiency label |
π·οΈ badge | Listing highlight (e.g., new) |
π° price | Property price |
π pricePerM2 | Price per square meter |
π area | Living area |
π rooms | Number of rooms |
π³ monthlyCost | Estimated monthly cost |
π constructionYear | Year built |
π³ lotSize | Land size |
β³ timeOnMarket | Time listed |
π€ agentName | Real estate agent |
πΌοΈ imageUrl | Property image |
π listingUrl | Listing URL |
π’ agentUrl | Agent page |
π·οΈ agentLogoUrl | Agency logo |
π How to Use
1οΈβ£ Configure Input
Provide Boligsiden search URLs and max items:
{"urls": ["https://www.boligsiden.dk/kommune/aarhus/tilsalg?priceMax=24100000&areaMax=250","https://www.boligsiden.dk/tilsalg/villa,ejerlejlighed,fritidsbolig,raekkehus?sortBy=timeOnMarket"],"maxitems": 60}
2οΈβ£ Run the Actor
β’ Loads property listings from each URL
β’ Automatically paginates results
β’ Extracts structured property data
β’ Stops when the maxitems limit is reached
3οΈβ£ Export the Dataset
Download your results in multiple formats:
β JSON
β CSV
β Excel
β XML
β HTML
βοΈ Input Configuration
π₯ Input Example
{"urls": ["https://www.boligsiden.dk/kommune/aarhus/tilsalg","https://www.boligsiden.dk/kommune/kobenhavn/tilsalg"],"maxitems": 60}
Input Fields
| Field | Type | Description |
|---|---|---|
urls | array | List of Boligsiden search URLs |
maxitems | number | Maximum property listings to retrieve per URL |
π€ Output Example
{"caseId": "664756ab-a903-4a25-a2b6-d8e0275d34db","address": "Nymarks AllΓ© 247, 8320 MΓ₯rslet","propertyType": "RΓ¦kkehus","energyLabel": "A","badge": "Nyhed","price": "3.795.000kr.","pricePerM2": "28.321kr.","area": "134mΒ²","rooms": "5","monthlyCost": "2.614kr./md.","constructionYear": "2019","lotSize": "173mΒ²","timeOnMarket": "2 days","agentName": "home Malling-Beder","imageUrl": "https://example.com/image.webp","listingUrl": "https://www.boligsiden.dk/adresse/example","agentUrl": "https://www.boligsiden.dk/agent/example","agentLogoUrl": "https://example.com/logo.gif"}
π Output explanation
| Use Case | Description |
|---|---|
| π Real Estate Analysis | Track housing trends across regions |
| π° Price Monitoring | Analyze price evolution & price per mΒ² |
| π Investment Research | Identify profitable opportunities |
| π’ Agency Monitoring | Track listings by real estate agents |
| π Data Analytics | Build structured housing datasets |
π Why Use This Scraper?
π Extract Boligsiden listings at scale
β‘ Fully automated pagination
π Structured and analysis-ready data
π Real estate-specific attributes
π Ideal for investors, analysts & researchers
β οΈ Disclaimer
This tool is an independent solution and is not affiliated with or endorsed by Boligsiden.
πΈ Pricing
This scraper runs on a pay per events subscription model.
You only pay for successful runs.
π³ Price: $9.99 / 1000 results
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π¬ Support
βββββ Leave a 5-star rating if you like this tool
π PrimeScrape
Built for scalable web data extraction & automation
Contact for custom scraping solutions or enterprise requests via Apify or by email.