Pricing

$29.89/month + usage

Boligsiden Property Scraper - Billig Cheap 🏠🇩🇰🔎

Looking to collect properties from Boligsiden.dk?🇩🇰 With this Boligsiden Property Scraper 🔎 gather real estate data from Boligsiden URLs including address, property type, price, price per m², agent name, listing URL & more Perfect for real estate market analysis & housing market intelligence 📊

Pricing

$29.89/month + usage

Rating

0.0

(0)

Developer

Storm_Scraper

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Boligsiden Property Scraper 🏠🇩🇰🔎

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

It allows you to collect structured property data including address, property type, price, price per m², area, number of rooms, construction year, lot size, agent information, listing URL and more.

This scraper works with Boligsiden search and category result pages.

👉 City property searches

👉 Municipality listings

👉 Property type filters

👉 Custom search filters

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

🇩🇰

Boligsiden Property Scraper er et kraftfuldt automatiseringsværktøj designet til at udtrække ejendomsannoncer fra Boligsiden, en af Danmarks største boligmarkedspladser.

Det gør det muligt at indsamle strukturerede boligdata, herunder adresse, ejendomstype, pris, pris pr. m², areal, antal rum, byggeår, grundstørrelse, mægleroplysninger, annonce-URL og meget mere.

Denne scraper fungerer med Boligsidens søgesider og kategorisider.

👉 Boligsøgninger efter by

👉 Kommune-lister

👉 Filtre efter ejendomstype

👉 Brugerdefinerede søgefiltre

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

🔍 What It Does

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

✅ Extract property listings from Boligsiden search pages

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

✅ Automatically paginate search results

✅ Deliver clean structured datasets ready for analysis

📊 Data Extracted

🏠 Property Listing Information

Field	Description
🆔 caseId	Unique property listing ID
📍 address	Property address
🏠 propertyType	Type of property (house, apartment, etc.)
⚡ energyLabel	Property energy label
🏷 badge	Special listing badge (e.g., new listing)
💰 price	Property price
📊 pricePerM2	Price per square meter
📐 area	Property living area
🛏 rooms	Number of rooms
💳 monthlyCost	Estimated monthly ownership cost
🏗 constructionYear	Year the property was built
🌳 lotSize	Land or lot size
⏳ timeOnMarket	Time the listing has been on the market
👤 agentName	Real estate agent or agency
🖼 imageUrl	Main property image
🔗 listingUrl	Direct link to the property listing
🏢 agentUrl	Real estate agent page
🏷 agentLogoUrl	Agency logo

🛠 How to Use

1️⃣ Deploy the Actor on Apify

Run the actor directly from the Apify platform.

2️⃣ Provide Boligsiden Search URLs

The scraper accepts Boligsiden search or category URLs.

Examples:

• https://www.boligsiden.dk/kommune/aarhus/tilsalg

• https://www.boligsiden.dk/kommune/kobenhavn/tilsalg

• https://www.boligsiden.dk/tilsalg/villa,ejerlejlighed,fritidsbolig,raekkehus

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

You can start scraping from any page — pagination continues automatically.

3️⃣ Set Maximum Listings per URL

Define how many listings should be collected per search URL.

Example:

The scraper automatically paginates until:

• the limit is reached • or 2 consecutive pages return no new results

4️⃣ Run the Scraper

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

5️⃣ Export Your Data

Download results in multiple formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

💸 Pricing

This scraper runs on a monthly subscription model.

You only pay for successful runs.

💳 Price: $29.89 / month

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! 😃📊:

Sentiment Analysis Text Classification 📈

⚙️ Input Configuration

📥 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

Field	Type	Description
urls	array	List of Boligsiden search or listing URLs to scrape. Pagination is handled automatically.
maxitems	integer	Maximum 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.

📤 Output Example

{
    "caseId": "664756ab-a903-4a25-a2b6-d8e0275d34db",
    "address": "Nymarks Allé 247, 8320 Mårslet",
    "propertyType": "Rækkehus",
    "energyLabel": "A",
    "badge": "Nyhed",
    "price": "3.795.000kr.",
    "pricePerM2": "3.795.000kr.",
    "area": "134m²",
    "rooms": "5vær.",
    "monthlyCost": "2.614kr./md.",
    "constructionYear": "2019",
    "lotSize": "173m²",
    "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"
  }

📊 Preconfigured Dataset Views

🔎 Overview View

Quick overview of extracted Boligsiden property listings.

Fields included:

• Case ID • Address • Property Type • Energy Label • Badge • Price • Price per m² • Area • Rooms • Monthly Cost • Construction Year • Lot Size • Time on Market • Agent Name • Image URL • Listing URL • Agent URL • Agent Logo URL

🌍 Why Use This Scraper?

🏠 Real Estate Market Analysis

Track housing market trends across Danish cities and municipalities.

💰 Property Price Monitoring

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

📊 Investment Research

Analyze:

• housing supply trends • property prices by region • property types distribution

🏢 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.

📫 Support & Contact

😊 Leave a 5-star rating ⭐⭐⭐⭐⭐ if you’re satisfied

🌪️ 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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