Nybolig Property Search Scraper: Extract Danish Real Estate Data at Scale

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What Is Nybolig.dk?

Nybolig.dk is Denmark's leading real estate platform, hosting thousands of active property listings across residential, commercial, and agricultural segments. The platform serves as the primary marketplace for property buyers, sellers, and agents throughout Denmark. Manually extracting property data from search results is tedious and error-prone — the Nybolig Property Search Scraper automates this workflow, transforming search result pages into clean, structured datasets.

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Overview

The Nybolig Property Search Scraper extracts comprehensive property records from Nybolig.dk search result pages, capturing everything from address coordinates to energy classifications and amenity flags. It is designed for:

• Real estate investors tracking market trends by location and price range
• Data analysts building Danish housing market datasets
• Property managers monitoring competing listings and valuations
• Market researchers analyzing property types, sizes, and availability
• Developers integrating Danish property data into platforms or dashboards

Key strengths include support for large result sets (up to 200+ items per URL), flexible URL handling via ignore_url_failures, and comprehensive field coverage spanning location, pricing, property characteristics, and listing status.

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Input Format

The scraper accepts a JSON configuration specifying search result URLs and collection parameters:

{
  "urls": [
    "https://www.nybolig.dk/soegeresultat-boliger?displayNames=Aalborg&municipalityNames=Aalborg&caseCounts=2166"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 200
}

Field	Description
urls	Array of Nybolig search result page URLs to scrape (e.g., filtered by city, price, or property type)
max_items_per_url	Maximum properties extracted per URL; default 20, can increase to 200
ignore_url_failures	If true, scraper continues if a URL fails to load; if false, the run halts on first failure

Examples of valid URLs:

• Search by municipality: https://www.nybolig.dk/soegeresultat-boliger?municipalityNames=Copenhagen
• Search by price range: https://www.nybolig.dk/soegeresultat-boliger?priceMin=500000&priceMax=2000000
• Search by property type: https://www.nybolig.dk/soegeresultat-boliger?propertyTypes=Villa

Tip: Copy the full URL from your browser after filtering on Nybolig.dk to ensure all parameters are preserved.

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Output Format

Sample output

{
  "id": "SUNhc2U6NzcyODUx",
  "site_name": "nybolig",
  "case_number": "N2402680000791",
  "address_display_name": "Jagtvej 7, 9000 Aalborg",
  "address_first_line": "Jagtvej 7",
  "address_second_line": "9000 Aalborg",
  "address_longitude": 9.88466543966381,
  "address_latitude": 57.0415365413044,
  "address_wkt_point": "",
  "address_city": "Aalborg",
  "url": "/villa/9000/jagtvej/n240268/n2402680000791",
  "image_url": "https://nybolig.mindworking.eu/api/mediaData/mediaDataMediaPurposeId/SU1lZGlhRGF0YTp7Ik1lZGlhRGF0YUlkIjo4NDk4MjYyLCJNZWRpYVB1cnBvc2VJZCI6MjJ9/imageHash/baa51779e90f51404b6f8fa0dc9ae617/imageSize/Assets/inline/True?bgcolor=ffffff&dpi=72&jq=70&tp=rgb&fo=1&w=534",
  "image_alt": "Villa: Andet på Jagtvej 7, 9000 Aalborg",
  "primary_images": [
    "https://nybolig.mindworking.eu/api/mediaData/mediaDataMediaPurposeId/SU1lZGlhRGF0YTp7Ik1lZGlhRGF0YUlkIjo4NDk4MjYyLCJNZWRpYVB1cnBvc2VJZCI6MjJ9/imageHash/baa51779e90f51404b6f8fa0dc9ae617/imageSize/Assets/inline/True?bgcolor=ffffff&dpi=72&jq=70&tp=rgb&fo=1&w=534",
    "https://nybolig.mindworking.eu/api/mediaData/mediaDataMediaPurposeId/SU1lZGlhRGF0YTp7Ik1lZGlhRGF0YUlkIjo4NDk4MjM4LCJNZWRpYVB1cnBvc2VJZCI6MjJ9/imageHash/5c57c613c765eda476b34be2b4149ca5/imageSize/Assets/inline/True?bgcolor=ffffff&dpi=72&jq=70&tp=rgb&fo=1&w=534",
    "https://nybolig.mindworking.eu/api/mediaData/mediaDataMediaPurposeId/SU1lZGlhRGF0YTp7Ik1lZGlhRGF0YUlkIjo4NDk4MjM2LCJNZWRpYVB1cnBvc2VJZCI6MjJ9/imageHash/c61cfb33f4a2570ad46dc1f681661f13/imageSize/Assets/inline/True?bgcolor=ffffff&dpi=72&jq=70&tp=rgb&fo=1&w=534"
  ],
  "is_shared_agricultural_case": false,
  "has_been_sold": false,
  "is_sale_in_progress": false,
  "is_rental": false,
  "is_portfolio_case": false,
  "street_address": "Jagtvej",
  "house_number": "7",
  "floor_side": "",
  "floor": 0,
  "rent": 0,
  "rent_monthly": "0",
  "cash_price": 7750000,
  "price": "7.750.000",
  "project_case_reserved": false,
  "new_label_event_end": "2026-06-24T11:32:28.427Z",
  "is_new": true,
  "new_price_label_event_end": "2026-06-02T00:00:00Z",
  "has_new_price": false,
  "show_offers_label": false,
  "is_active": false,
  "general_label_text": "",
  "open_house_text": "",
  "open_house_intro": "",
  "type": "Villa",
  "total_number_of_rooms": 5,
  "property_size": 1493,
  "plot_size_ha": 0.1,
  "living_space": 189,
  "farmbuildings_size": 62,
  "basement_size": 66,
  "energy_classification": "B",
  "has_charger": false,
  "has_balcony": false,
  "has_elevator": false,
  "pets_allowed": false,
  "flex_property": false,
  "from_url": "https://www.nybolig.dk/soegeresultat-boliger?displayNames=Aalborg&municipalityNames=Aalborg&caseCounts=2166"
}

Each scraped property returns a detailed record with 48 fields covering identification, location, pricing, physical characteristics, and listing metadata:

Identification & URLs

Field	Meaning
ID	Unique identifier for the property within Nybolig's database
Site Name	Name of the Nybolig site/section the listing appears in
Case Number	Official case or reference number for the property
URL	Direct link to the property detail page on Nybolig.dk

Location & Address

Field	Meaning
Address Display Name	Full address as displayed to users
Address First Line	Primary address line (street and house number)
Address Second Line	Secondary address line (apartment/floor info)
Street Address	Street name component
House Number	Building number
Floor	Floor level (e.g., 1st, 2nd, ground)
Floor Side	Side designation (e.g., left, right) if applicable
Address City	City name
Address Latitude	Decimal latitude coordinate
Address Longitude	Decimal longitude coordinate
Address WKT Point	Well-Known Text (WKT) geometry for mapping integration

Images & Media

Field	Meaning
Image URL	Primary property image URL
Image Alt	Alt text description for the image
Primary Images	Collection of primary property image URLs

Pricing & Financial

Field	Meaning
Price	Total sale price (if for sale)
Cash Price	Purchase price in cash value
Rent	Rental amount (if rental property)
Rent Monthly	Monthly rent figure
New Price Label Event End	Expiration date for "new price" promotion label
Has New Price	Boolean flag indicating recent price change

Property Type & Classification

Field	Meaning
Type	Property type (e.g., villa, apartment, cottage, farm)
Is Rental	Boolean: true if property is available for rent
Is Portfolio Case	Boolean: property is part of a portfolio/bulk listing
Is Shared Agricultural Case	Boolean: shared agricultural property
Flex Property	Boolean: flexible/adaptable property designation

Physical Characteristics

Field	Meaning
Total Number Of Rooms	Total room count (excluding bathrooms/hallways)
Property Size	Total building size in square meters
Living Space	Usable living area in square meters
Plot Size Ha	Land plot size in hectares
Basement Size	Basement or cellar area in square meters
Farmbuildings Size	Outbuilding or farm structure size in square meters
Energy Classification	Energy efficiency rating (e.g., A–G scale)

Amenities & Features

Field	Meaning
Has Balcony	Boolean: property includes a balcony
Has Elevator	Boolean: building has an elevator
Has Charger	Boolean: electric vehicle charger present
Pets Allowed	Boolean: rental allows pets

Listing Status & Flags

Field	Meaning
Is Active	Boolean: listing is currently active
Is New	Boolean: property is newly listed
Has Been Sold	Boolean: property has been sold (historical data)
Is Sale In Progress	Boolean: sale negotiations are underway
Project Case Reserved	Boolean: property is reserved in a development project
Show Offers Label	Boolean: display "offers" label to encourage bidding
General Label Text	Custom label text (e.g., "Price reduced")
Open House Text	Description of open house event
Open House Intro	Introductory text for open house
New Label Event End	Expiration date for "new listing" badge

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How to Use

1. Find Nybolig URLs — Go to Nybolig.dk and apply your desired filters (location, price, type, amenities). Copy the resulting URL from your browser's address bar.

2. Configure input — Paste the URL(s) into the urls array. You can include multiple search result pages.

3. Set item limits — Adjust max_items_per_url based on your needs:

   • 20 for quick test runs
   • 50–100 for moderate datasets
   • 200 for comprehensive market analysis

4. Enable fault tolerance — Set ignore_url_failures: true if running multiple URLs to prevent a single failure from stopping the entire job.

5. Run the scraper — Launch the actor and monitor the run log for progress.

6. Export data — Download results as JSON, CSV, or Excel for analysis in spreadsheets, databases, or BI tools.

Best practices:

• Use filtered Nybolig search URLs to target specific regions or property types, reducing unnecessary data collection.
• Schedule runs during off-peak hours to minimize server load.
• Validate geolocation data (latitude/longitude) before mapping.

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Use Cases & Business Value

• Market analysis: Track price trends, property sizes, and availability by city or neighborhood
• Investment research: Identify undervalued properties, analyze rental yields, and monitor competitor listings
• Lead generation: Build prospect lists for real estate agents and property developers
• Academic research: Study housing market dynamics, affordability, and energy efficiency trends
• Real estate platforms: Aggregate and republish Danish property data with proper attribution

The Nybolig Property Search Scraper transforms hours of manual data entry into minutes, delivering market-ready datasets that inform strategy, pricing, and investment decisions.

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Conclusion

The Nybolig Property Search Scraper is the fastest way to extract structured Danish real estate data from Nybolig.dk. With 48 detailed fields and support for large-scale collection, it empowers investors, analysts, and developers to make data-driven decisions in the Danish property market. Start scraping today and unlock insights that manual browsing cannot match.