Boligsiden.dk Scraper - Lavpris Low-costπŸ’²πŸ”₯πŸ‡©πŸ‡°πŸ  avatar

Boligsiden.dk Scraper - Lavpris Low-costπŸ’²πŸ”₯πŸ‡©πŸ‡°πŸ 

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Boligsiden.dk Scraper - Lavpris Low-costπŸ’²πŸ”₯πŸ‡©πŸ‡°πŸ 

Boligsiden.dk Scraper - Lavpris Low-costπŸ’²πŸ”₯πŸ‡©πŸ‡°πŸ 

Scrape Boligsiden.dk property listings πŸ‡©πŸ‡°πŸ  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 πŸ“ŠπŸš€

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from $0.00005 / actor start

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Boligsiden Property Scraper


Boligsiden Property Scraper πŸ πŸ‡©πŸ‡°πŸ”Ž

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 Denmark’s largest real estate platforms.


Boligsiden Property Scraper πŸ πŸ‡©πŸ‡°πŸ”Ž

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.


🎯 What This Scraper Does

Simply provide one or more Boligsiden search URLs and the scraper handles everything automatically.

βœ… Extracts structured property listings from Boligsiden

βœ… Supports multiple search URLs in one run

βœ… Collects key property data (price, area, rooms, etc.)

βœ… Captures agent info and listing metadata

βœ… Handles pagination automatically

βœ… Stops at your defined max items limit

βœ… Ideal for real estate analytics & investment research

βœ… Ready for automation workflows

βœ… Clean and structured output format


πŸ“Š Data Extracted

🏠 Property Listing Information

FieldDescription
πŸ†” caseIdUnique property listing ID
πŸ“ addressProperty address
🏠 propertyTypeType of property
⚑ energyLabelEnergy efficiency label
🏷️ badgeListing highlight (e.g., new)
πŸ’° priceProperty price
πŸ“Š pricePerM2Price per square meter
πŸ“ areaLiving area
πŸ› roomsNumber of rooms
πŸ’³ monthlyCostEstimated monthly cost
πŸ— constructionYearYear built
🌳 lotSizeLand size
⏳ timeOnMarketTime listed
πŸ‘€ agentNameReal estate agent
πŸ–ΌοΈ imageUrlProperty image
πŸ”— listingUrlListing URL
🏒 agentUrlAgent page
🏷️ agentLogoUrlAgency logo

πŸ›  How to Use

1️⃣ 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
}

2️⃣ 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

3️⃣ Export the Dataset

Download your results in multiple formats:

βœ… JSON

βœ… CSV

βœ… Excel

βœ… XML

βœ… HTML


βš™οΈ Input Configuration

πŸ“₯ Input Example

{
"urls": [
"https://www.boligsiden.dk/kommune/aarhus/tilsalg",
"https://www.boligsiden.dk/kommune/kobenhavn/tilsalg"
],
"maxitems": 60
}

Input Fields

FieldTypeDescription
urlsarrayList of Boligsiden search URLs
maxitemsnumberMaximum property listings to retrieve per URL

πŸ“€ Output Example

{
"caseId": "664756ab-a903-4a25-a2b6-d8e0275d34db",
"address": "Nymarks AllΓ© 247, 8320 MΓ₯rslet",
"propertyType": "Rækkehus",
"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"
}

πŸ“Š Output explanation

Use CaseDescription
🏠 Real Estate AnalysisTrack housing trends across regions
πŸ’° Price MonitoringAnalyze price evolution & price per mΒ²
πŸ“Š Investment ResearchIdentify profitable opportunities
🏒 Agency MonitoringTrack listings by real estate agents
πŸ“ˆ Data AnalyticsBuild structured housing datasets

🌍 Why Use This Scraper?

πŸš€ Extract Boligsiden listings at scale

⚑ Fully automated pagination

πŸ“Š Structured and analysis-ready data

🏠 Real estate-specific attributes

πŸ“ˆ Ideal for investors, analysts & researchers


⚠️ Disclaimer

This tool is an independent solution and is not affiliated with or endorsed by Boligsiden.


πŸ’Έ Pricing

This scraper runs on a pay per events subscription model.

You only pay for successful runs.

πŸ’³ Price: $9.99 / 1000 results


If you're interested in other scraping solutions (E-commerce, Jobs, Real Estate, Events, Social Media & more), explore more tools:

(Coming soon)


πŸ“¬ Support

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