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URL: https://apify.com/scrapestorm/boligsiden-property-scraper---billig-cheap

โ‡ฑ Boligsiden Property Scraper - Billig Cheap ๐Ÿ ๐Ÿ‡ฉ๐Ÿ‡ฐ๐Ÿ”Ž ยท Apify

๐Ÿ‘ Boligsiden Property Scraper - Billig Cheap ๐Ÿ ๐Ÿ‡ฉ๐Ÿ‡ฐ๐Ÿ”Ž avatar

Boligsiden Property Scraper - Billig Cheap ๐Ÿ ๐Ÿ‡ฉ๐Ÿ‡ฐ๐Ÿ”Ž

Pricing

$29.89/month + usage

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Boligsiden Property Scraper - Billig Cheap ๐Ÿ ๐Ÿ‡ฉ๐Ÿ‡ฐ๐Ÿ”Ž

Looking to collect properties from Boligsiden.dk?๐Ÿ‡ฉ๐Ÿ‡ฐ With this Boligsiden Property Scraper ๐Ÿ”Ž gather real estate data from Boligsiden URLs including address, property type, price, price per mยฒ, agent name, listing URL & more Perfect for real estate market analysis & housing market intelligence ๐Ÿ“Š

Pricing

$29.89/month + usage

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๐Ÿ‘ Storm_Scraper

Storm_Scraper

Maintained by Community

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Monthly active users

3 months ago

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

The Boligsiden Property Scraper is a powerful automation tool designed to extract real estate listings from Boligsiden, one of Denmarkโ€™s largest property marketplaces.

It allows you to collect structured property data including address, property type, price, price per mยฒ, area, number of rooms, construction year, lot size, agent information, listing URL and more.

This scraper works with Boligsiden search and category result pages.

๐Ÿ‘‰ City property searches

๐Ÿ‘‰ Municipality listings

๐Ÿ‘‰ Property type filters

๐Ÿ‘‰ Custom search filters

This tool helps real estate analysts, investors, property researchers, and market intelligence teams collect structured housing datasets quickly and efficiently.

๐Ÿ‡ฉ๐Ÿ‡ฐ

Boligsiden Property Scraper er et kraftfuldt automatiseringsvรฆrktรธj designet til at udtrรฆkke ejendomsannoncer fra Boligsiden, en af Danmarks stรธrste boligmarkedspladser.

Det gรธr det muligt at indsamle strukturerede boligdata, herunder adresse, ejendomstype, pris, pris pr. mยฒ, areal, antal rum, byggeรฅr, grundstรธrrelse, mรฆgleroplysninger, annonce-URL og meget mere.

Denne scraper fungerer med Boligsidens sรธgesider og kategorisider.

๐Ÿ‘‰ Boligsรธgninger efter by

๐Ÿ‘‰ Kommune-lister

๐Ÿ‘‰ Filtre efter ejendomstype

๐Ÿ‘‰ Brugerdefinerede sรธgefiltre

Dette vรฆrktรธj hjรฆlper ejendomsanalytikere, investorer, boligforskere og market intelligence-teams med hurtigt og effektivt at indsamle strukturerede boligdata.

๐Ÿ” What It Does

Simply provide one or more Boligsiden search URLs, and the scraper will:

โœ… Extract property listings from Boligsiden search pages

โœ… Collect key property metadata such as price, area, rooms, and construction year

โœ… Automatically paginate search results

โœ… Deliver clean structured datasets ready for analysis

๐Ÿ“Š Data Extracted

๐Ÿ  Property Listing Information

FieldDescription
๐Ÿ†” caseIdUnique property listing ID
๐Ÿ“ addressProperty address
๐Ÿ  propertyTypeType of property (house, apartment, etc.)
โšก energyLabelProperty energy label
๐Ÿท badgeSpecial listing badge (e.g., new listing)
๐Ÿ’ฐ priceProperty price
๐Ÿ“Š pricePerM2Price per square meter
๐Ÿ“ areaProperty living area
๐Ÿ› roomsNumber of rooms
๐Ÿ’ณ monthlyCostEstimated monthly ownership cost
๐Ÿ— constructionYearYear the property was built
๐ŸŒณ lotSizeLand or lot size
โณ timeOnMarketTime the listing has been on the market
๐Ÿ‘ค agentNameReal estate agent or agency
๐Ÿ–ผ imageUrlMain property image
๐Ÿ”— listingUrlDirect link to the property listing
๐Ÿข agentUrlReal estate agent page
๐Ÿท agentLogoUrlAgency logo

๐Ÿ›  How to Use

1๏ธโƒฃ Deploy the Actor on Apify

Run the actor directly from the Apify platform.

2๏ธโƒฃ Provide Boligsiden Search URLs

The scraper accepts Boligsiden search or category URLs.

Examples:

โ€ข https://www.boligsiden.dk/kommune/aarhus/tilsalg

โ€ข https://www.boligsiden.dk/kommune/kobenhavn/tilsalg

โ€ข https://www.boligsiden.dk/tilsalg/villa,ejerlejlighed,fritidsbolig,raekkehus

โ€ข https://www.boligsiden.dk/kommune/aarhus/tilsalg?priceMax=24100000&areaMax=250

You can start scraping from any page โ€” pagination continues automatically.

3๏ธโƒฃ Set Maximum Listings per URL

Define how many listings should be collected per search URL.

Example:

60

The scraper automatically paginates until:

โ€ข the limit is reached โ€ข or 2 consecutive pages return no new results

4๏ธโƒฃ Run the Scraper

Launch the actor and it will automatically collect property listings from Boligsiden search pages.

5๏ธโƒฃ Export Your Data

Download results in multiple formats:

โœ… JSON

โœ… CSV

โœ… Excel

โœ… XML

โœ… HTML

๐Ÿ’ธ Pricing

This scraper runs on a monthly subscription model.

You only pay for successful runs.

๐Ÿ’ณ Price: $29.89 / month

Related Actors

If you're interested in other Rutube, E-commerce, Events, Real Estate, Jobs, Company Leads, YouTube or Facebook scraping solutions, check out these related tools:

You can even apply sentiment analysis on the data text we've extracted! ๐Ÿ˜ƒ๐Ÿ“Š:

โš™๏ธ Input Configuration

๐Ÿ“ฅ Input Example

{
"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
}

Input Fields

FieldTypeDescription
urlsarrayList of Boligsiden search or listing URLs to scrape. Pagination is handled automatically.
maxitemsintegerMaximum number of property listings to collect per URL. The scraper stops when the limit is reached or when 2 consecutive pages return no new results.

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":"3.795.000kr.",
"area":"134mยฒ",
"rooms":"5vรฆr.",
"monthlyCost":"2.614kr./md.",
"constructionYear":"2019",
"lotSize":"173mยฒ",
"timeOnMarket":"home Malling-Beder: 2 dage | 2 dage i alt",
"agentName":"home Malling-Beder",
"imageUrl":"https://images.boligsiden.dk/images/case/664756ab-a903-4a25-a2b6-d8e0275d34db/600x400/85f144f6-cff4-407c-9b62-3ba15617e159.webp",
"listingUrl":"https://www.boligsiden.dk/adresse/nymarks-alle-247-8320-maarslet-07516017_247_______",
"agentUrl":"https://www.boligsiden.dk/viderestilling/664756ab-a903-4a25-a2b6-d8e0275d34db",
"agentLogoUrl":"https://images.boligsiden.dk/images/realtor_branch/819ea737-cc8f-473d-b9d5-631d02744a3d/60x40/d70f861e-ef11-4d26-8702-31efde78f36e.gif"
}

๐Ÿ“Š Preconfigured Dataset Views

๐Ÿ”Ž Overview View

Quick overview of extracted Boligsiden property listings.

Fields included:

โ€ข Case ID โ€ข Address โ€ข Property Type โ€ข Energy Label โ€ข Badge โ€ข Price โ€ข Price per mยฒ โ€ข Area โ€ข Rooms โ€ข Monthly Cost โ€ข Construction Year โ€ข Lot Size โ€ข Time on Market โ€ข Agent Name โ€ข Image URL โ€ข Listing URL โ€ข Agent URL โ€ข Agent Logo URL

๐ŸŒ Why Use This Scraper?

๐Ÿ  Real Estate Market Analysis

Track housing market trends across Danish cities and municipalities.

๐Ÿ’ฐ Property Price Monitoring

Monitor real estate prices and price per square meter across listings.

๐Ÿ“Š Investment Research

Analyze:

โ€ข housing supply trends โ€ข property prices by region โ€ข property types distribution

๐Ÿข Real Estate Agent Monitoring

Track listings from specific agencies and monitor property portfolios.

Disclaimer

This scraper is an independent automation tool and is not affiliated with, endorsed by, or sponsored by Boligsiden.

๐Ÿ“ซ Support & Contact

๐Ÿ˜Š Leave a 5-star rating โญโญโญโญโญ if youโ€™re satisfied

๐ŸŒช๏ธ Storm Scraper https://apify.com/scrapestorm

For questions, feature requests, or custom scraping solutions, contact us directly via Apify or email.

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