EDC.dk Property Scraper: Extract Danish Real Estate Data at Scale

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What Is EDC.dk?

EDC.dk is one of Denmark's leading property search platforms, offering access to thousands of residential and commercial real estate listings across Danish municipalities. The platform aggregates property data from various sources, making it a valuable resource for buyers, sellers, investors, and market analysts. Extracting listing data manually is inefficient; the EDC.dk Property Scraper automates this process, delivering structured property records from search result pages.

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Overview

The EDC.dk Property Scraper extracts property listings from EDC.dk search result pages, converting individual property cards into complete, machine-readable records. It is designed for:

• Real estate professionals tracking market inventory and pricing trends
• Property investors analyzing markets across Danish regions
• Market researchers building datasets on property availability and values
• Aggregator platforms feeding property data into third-party portals
• Data analysts conducting comparative market analysis (CMA)

Key strengths include high-volume extraction (up to 200 items per URL), flexible municipality and region filtering, robust error handling via ignore_url_failures, and comprehensive property metadata spanning physical characteristics, pricing, and media assets.

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Input Format

The scraper accepts a JSON configuration object:

{
  "urls": [
    "https://www.edc.dk/soeg/?pageNr=2&kommune=Ballerup"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 200
}

Field	Type	Description
urls	Array	Direct links to EDC.dk property search result pages. URLs may include filters (page number, municipality, property type). One URL per entry.
max_items_per_url	Integer	Maximum number of property listings to extract per URL (1–200). Default: 20. Use 200 for comprehensive market coverage.
ignore_url_failures	Boolean	If true, the scraper continues running even if individual URLs fail to load. Recommended: true for large batches.

URL Construction Tips

EDC.dk uses query parameters to filter results:

• pageNr=2 — Page number of search results
• kommune=Ballerup — Danish municipality code (e.g., Ballerup, Copenhagen, Aarhus)

You can build URLs directly from EDC.dk's search interface or construct them programmatically for bulk region coverage.

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Output Format

Sample output

{
  "id": 2447492,
  "case_guid": "51c0f16c-f94a-49cc-bbb9-e124a40dd44e",
  "case_number": "29704283",
  "case_type_group": "Private",
  "case_classification": "Sale",
  "trade_classification": "None",
  "estate_type": "f507e41c-ee54-473f-b324-5b620716a363",
  "estate_type_name": "Sommerhus",
  "source": "EDC",
  "source_model": "Edc",
  "agency_guid": "f86683ee-72ed-4aca-aa0a-88f48fbbff2f",
  "address": "Gefionvej 53",
  "is_sold": false,
  "is_rented": false,
  "zip_code": "2740",
  "city": "Skovlunde",
  "status_change_date": "2026-01-27T11:27:10.133",
  "is_advertised": false,
  "is_edc_case": true,
  "case_status": "None",
  "rooms": {
    "value": 2.0,
    "unit_code": "ROM",
    "unit_text": "rum",
    "description": "2"
  },
  "living_area": {
    "value": 51.0,
    "unit_code": "MKT",
    "unit_text": "m²",
    "description": "51 m²"
  },
  "price": {
    "value": 1595000.0,
    "unit_code": "DKK",
    "unit_text": "kr.",
    "description": "1.595.000 kr."
  },
  "area_land": {
    "value": 450.0,
    "unit_code": "MKT",
    "unit_text": "m²",
    "description": "450 m²"
  },
  "area_floor": {
    "value": 0.0,
    "unit_code": "MKT",
    "unit_text": "m²",
    "description": "0 m²"
  },
  "rent": {
    "value": 0.0,
    "unit_code": "DKK",
    "unit_text": "kr.",
    "description": "0 kr."
  },
  "year_build": 1978,
  "cash_price_change": {
    "value": 0.0,
    "unit_code": "DKK",
    "unit_text": "kr.",
    "description": "0 kr."
  },
  "vignet_custom_text": "",
  "is_new_case": false,
  "has_new_price": false,
  "image_path": "https://billeder.edc.dk/edcmedia/2026/05-May/25/95c9bbf1-c162-493e-a1e5-299c144ab818_Size210x140.jpg",
  "date_open_house": "2026-06-11T10:00:00",
  "date_open_house_end": "2026-06-11T17:00:00",
  "open_house_activity_subscription": true,
  "open_house_activity_id": "0b781307-a145-4cfe-98a6-5a8f8441845b",
  "geo_coordinates": {
    "latitude": 55.70553323963271,
    "longitude": 12.38630399237
  },
  "is_contract_signed": false,
  "business_return_percentage": {
    "value": 0.0,
    "unit_code": "",
    "unit_text": "%",
    "description": "0,00 %"
  },
  "rent_year": {
    "value": 0.0,
    "unit_code": "DKK",
    "unit_text": "kr.",
    "description": "0 kr."
  },
  "url_path": "/alle-boliger/sommerhus/2740-skovlunde/gefionvej-53/29704283/",
  "images": [
    {
      "src": "https://billeder.edc.dk/edcmedia/2026/05-May/25/95c9bbf1-c162-493e-a1e5-299c144ab818_Size300x200.jpg",
      "height": 200,
      "width": 300
    },
    {
      "src": "https://billeder.edc.dk/edcmedia/2026/05-May/25/95c9bbf1-c162-493e-a1e5-299c144ab818_Size400x256.jpg",
      "height": 256,
      "width": 400
    },
    {
      "src": "https://billeder.edc.dk/edcmedia/2026/05-May/25/95c9bbf1-c162-493e-a1e5-299c144ab818_Size620x414.jpg",
      "height": 414,
      "width": 620
    },
    {
      "src": "https://billeder.edc.dk/edcmedia/2026/05-May/25/95c9bbf1-c162-493e-a1e5-299c144ab818_Size210x140.jpg",
      "height": 140,
      "width": 210
    },
    {
      "src": "https://billeder.edc.dk/edcmedia/2026/05-May/25/95c9bbf1-c162-493e-a1e5-299c144ab818_Size1080x720crop.jpg",
      "height": 720,
      "width": 1080
    }
  ],
  "view_count": 0,
  "view_count_type": "ViewedWithinLastWeek",
  "show_view_count": false,
  "can_be_followed": true,
  "active_project_cases": 0,
  "total_project_cases": 0,
  "is_project": false,
  "from_url": "https://www.edc.dk/soeg/?pageNr=2&kommune=Ballerup"
}

Each scraped property returns a detailed record with 47+ fields:

Identification & Source

Field	Meaning
ID	Unique identifier for the property within EDC.dk
Case Guid	Global unique identifier (UUID) for the listing
Case Number	EDC.dk case/reference number
Source	Data origin (e.g., real estate agency, private seller)
Source Model	Classification of source type
Agency Guid	GUID of the listing agency or broker
URL Path	Relative path to the property detail page

Property Classification

Field	Meaning
Case Type Group	Broad category (residential, commercial, land, etc.)
Case Classification	Specific classification (apartment, house, villa, etc.)
Trade Classification	Market segment classification
Estate Type	Code for property type
Estate Type Name	Human-readable property type name

Location & Address

Field	Meaning
Address	Full street address of the property
Zip Code	Danish postal code (postnummer)
City	Municipality or city name
Geo Coordinates	Latitude/longitude for mapping and distance calculations

Property Specifications

Field	Meaning
Rooms	Number of rooms (integer)
Living Area	Usable floor space in m²
Area Floor	Total floor area in m²
Area Land	Land plot size in m² (for detached properties)
Year Build	Construction year (integer)

Financial Information

Field	Meaning
Price	Asking price in Danish krone (DKK)
Rent	Monthly rental price (for rental properties)
Rent Year	Annual rental yield or rent amount
Cash Price Change	Price change from previous listing (absolute value)
Business Return Percentage	Estimated return on investment (ROI) percentage

Listing Status & Dates

Field	Meaning
Is Sold	Boolean flag indicating if property has sold
Is Rented	Boolean flag for rental status
Case Status	Current listing status (active, sold, archived, etc.)
Status Change Date	Timestamp of last status change
Is New Case	Boolean flag for newly listed properties
Has New Price	Boolean flag if price was recently updated
Is Advertised	Boolean flag for featured/promoted listings
Is EDC Case	Boolean flag for properties listed directly via EDC.dk
Is Contract Signed	Boolean flag indicating closed transactions

Open House & Viewings

Field	Meaning
Date Open House	Scheduled open house start date/time
Date Open House End	Open house end date/time
Open House Activity Subscription	Subscription ID for viewing notifications
Open House Activity ID	Activity identifier for the open house event
View Count	Number of times the listing has been viewed
View Count Type	Classification of view metrics
Show View Count	Boolean flag to display view count publicly

Media & Visuals

Field	Meaning
Image Path	URL path to primary property image
Images	Array of all property image URLs

Project & Investment Properties

Field	Meaning
Is Project	Boolean flag for development/construction projects
Active Project Cases	Number of active sub-cases in a project
Total Project Cases	Total number of project phases

Additional Metadata

Field	Meaning
Is Contract Signed	Indicates if the transaction has been finalized
Can Be Followed	Boolean flag to allow watch-list subscriptions
Vignet Custom Text	Custom promotional text or banner

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How to Use

1. Identify search URLs — Navigate to EDC.dk, apply filters (municipality, property type, price range), and copy the result page URL from your browser.

2. Configure input — Paste one or more URLs into the urls array. For regional market analysis, add multiple pages or municipalities.

3. Set extraction limits — Adjust max_items_per_url:

   • Use 20–50 for targeted single-page scrapes
   • Use 200 (maximum) for comprehensive market snapshots

4. Enable error handling — Set ignore_url_failures: true when scraping many URLs to prevent interruptions.

5. Run the scraper — Start the actor and monitor progress via the log console.

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

Troubleshooting:

• If no results are returned, verify the URL is a search result page (not a detail page).
• For filter-specific data, customize the URL with query parameters before adding to urls.
• If results seem incomplete, increase max_items_per_url or run separate scrapes per page.

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Use Cases & Business Value

• Market analysis: Track property availability, pricing trends, and inventory levels by municipality
• Investment screening: Identify underpriced properties or emerging markets using price and ROI fields
• Competitive intelligence: Monitor competitor listings, open house schedules, and promotional activity
• Lead generation: Extract property owner and agent data for outreach campaigns
• Data warehousing: Feed structured records into CRM, analytics, or real estate management systems
• Research & academia: Build datasets for thesis work on Danish property markets

The EDC.dk Property Scraper converts unstructured search results into actionable business intelligence, enabling professionals to make faster, data-driven decisions.

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Conclusion

The EDC.dk Property Scraper is an essential tool for anyone working in Danish real estate. With 47+ data fields per property and flexible filtering options, it delivers comprehensive market intelligence that would take days to gather manually. Whether you're an agent, investor, researcher, or analyst, this scraper accelerates data collection and unlocks insights into Denmark's dynamic property market.