Boligsiden.dk Scraper - Lavpris Low-cost๐Ÿ’ฒ๐Ÿ”ฅ๐Ÿ‡ฉ๐Ÿ‡ฐ๐Ÿ  avatar

Boligsiden.dk Scraper - Lavpris Low-cost๐Ÿ’ฒ๐Ÿ”ฅ๐Ÿ‡ฉ๐Ÿ‡ฐ๐Ÿ 

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Boligsiden.dk Scraper - Lavpris Low-cost๐Ÿ’ฒ๐Ÿ”ฅ๐Ÿ‡ฉ๐Ÿ‡ฐ๐Ÿ 

Boligsiden.dk Scraper - Lavpris Low-cost๐Ÿ’ฒ๐Ÿ”ฅ๐Ÿ‡ฉ๐Ÿ‡ฐ๐Ÿ 

Scrape Boligsiden.dk property listings ๐Ÿ‡ฉ๐Ÿ‡ฐ๐Ÿ  with a powerful real estate scraper. Extract addresses, property types, prices, price per mยฒ, agent names, and listing URLs from search pages. Ideal for housing market analysis, price tracking, and building structured real estate datasets ๐Ÿ“Š๐Ÿš€

Pricing

from $0.00005 / actor start

Rating

5.0

(1)

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Prime Scrape

Prime Scrape

Maintained by Community

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1

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2

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1

Monthly active users

3 days ago

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Boligsiden Property Scraper


Boligsiden Property Scraper ๐Ÿ ๐Ÿ‡ฉ๐Ÿ‡ฐ๐Ÿ”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 Denmarkโ€™s largest real estate platforms.


Boligsiden Property Scraper ๐Ÿ ๐Ÿ‡ฉ๐Ÿ‡ฐ๐Ÿ”Ž

Boligsiden Property Scraper er en kraftfuld og skalerbar Apify Actor, der er designet til at udtrรฆkke strukturerede ejendomsannoncer direkte fra Boligsiden.

Den muliggรธr analyse af boligmarkedet, sporing af ejendomspriser, investeringsresearch samt opbygning af strukturerede datasรฆt fra en af Danmarks stรธrste ejendomsplatforme.


๐ŸŽฏ What This Scraper Does

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

โœ… Extracts structured property listings from Boligsiden

โœ… Supports multiple search URLs in one run

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

โœ… Captures agent info and listing metadata

โœ… Handles pagination automatically

โœ… Stops at your defined max items limit

โœ… Ideal for real estate analytics & investment research

โœ… Ready for automation workflows

โœ… Clean and structured output format


๐Ÿ“Š Data Extracted

๐Ÿ  Property Listing Information

FieldDescription
๐Ÿ†” caseIdUnique property listing ID
๐Ÿ“ addressProperty address
๐Ÿ  propertyTypeType of property
โšก energyLabelEnergy efficiency label
๐Ÿท๏ธ badgeListing highlight (e.g., new)
๐Ÿ’ฐ priceProperty price
๐Ÿ“Š pricePerM2Price per square meter
๐Ÿ“ areaLiving area
๐Ÿ› roomsNumber of rooms
๐Ÿ’ณ monthlyCostEstimated monthly cost
๐Ÿ— constructionYearYear built
๐ŸŒณ lotSizeLand size
โณ timeOnMarketTime listed
๐Ÿ‘ค agentNameReal estate agent
๐Ÿ–ผ๏ธ imageUrlProperty image
๐Ÿ”— listingUrlListing URL
๐Ÿข agentUrlAgent page
๐Ÿท๏ธ agentLogoUrlAgency logo

๐Ÿ›  How to Use

1๏ธโƒฃ 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
}

2๏ธโƒฃ Run the Actor

โ€ข Loads property listings from each URL

โ€ข Automatically paginates results

โ€ข Extracts structured property data

โ€ข Stops when the maxitems limit is reached

3๏ธโƒฃ Export the Dataset

Download your results in multiple formats:

โœ… JSON

โœ… CSV

โœ… Excel

โœ… XML

โœ… HTML


โš™๏ธ Input Configuration

๐Ÿ“ฅ 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

๐Ÿ“ค Output Example

{
"caseId": "664756ab-a903-4a25-a2b6-d8e0275d34db",
"address": "Nymarks Allรฉ 247, 8320 Mรฅrslet",
"propertyType": "Rรฆkkehus",
"energyLabel": "A",
"badge": "Nyhed",
"price": "3.795.000kr.",
"pricePerM2": "28.321kr.",
"area": "134mยฒ",
"rooms": "5",
"monthlyCost": "2.614kr./md.",
"constructionYear": "2019",
"lotSize": "173mยฒ",
"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"
}

๐Ÿ“Š Output explanation

Use CaseDescription
๐Ÿ  Real Estate AnalysisTrack housing trends across regions
๐Ÿ’ฐ Price MonitoringAnalyze price evolution & price per mยฒ
๐Ÿ“Š Investment ResearchIdentify profitable opportunities
๐Ÿข Agency MonitoringTrack listings by real estate agents
๐Ÿ“ˆ Data AnalyticsBuild structured housing datasets

๐ŸŒ Why Use This Scraper?

๐Ÿš€ Extract Boligsiden listings at scale

โšก Fully automated pagination

๐Ÿ“Š Structured and analysis-ready data

๐Ÿ  Real estate-specific attributes

๐Ÿ“ˆ Ideal for investors, analysts & researchers


โš ๏ธ Disclaimer

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


๐Ÿ’ธ Pricing

This scraper runs on a pay per events subscription model.

You only pay for successful runs.

๐Ÿ’ณ 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)


๐Ÿ“ฌ Support

โญโญโญโญโญ Leave a 5-star rating if you like this tool


๐ŸŒ PrimeScrape

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Contact for custom scraping solutions or enterprise requests via Apify or by email.