DBA.dk Marketplace Listings Scraper

🔍 What is DBA.dk Marketplace Listings Scraper?

DBA.dk Marketplace Listings Scraper extracts structured classified listings from dba.dk — Denmark's largest online marketplace with 2M+ monthly visitors. Search across all categories, filter by condition, region, price, and seller type, and get clean JSON with prices, images, seller info, GPS coordinates, and full descriptions.

DBA.dk (Den Blå Avis) is Denmark's go-to platform for buying and selling used goods — from electronics and furniture to clothing and collectibles. This actor turns DBA's marketplace into structured, exportable data for price monitoring, market research, competitor analysis, and automated workflows.

• 35 output fields per listing including GPS coordinates, all images (up to 10), condition details, category path, and shipping/buy-now availability.
• Detail enrichment fetches full descriptions, nested category trees, zip codes, and product attributes from each listing page.
• Incremental mode tracks new and changed listings across scheduled runs.
• Compact output for AI agents, MCP tools, and lightweight automations.

✨ Why choose this actor?

Feature	This actor	Typical alternatives
All images per listing	Up to 10 image URLs	Usually 1 thumbnail
GPS coordinates	Lat/lon for every listing	Rarely available
Condition + category path	Normalized condition + full category tree	Often raw text only
Seller type detection	Private vs dealer + business name	Usually not distinguished
Shipping & buy-now flags	shippingAvailable, buyNowAvailable	Not tracked
Incremental monitoring	Built-in change tracking	Requires custom diffing
Low cost per result	Optimized for minimal platform credits	Higher per-result costs

🚀 Quick start

Search for iPhones in Copenhagen:

{
  "query": "iPhone",
  "region": "copenhagen",
  "maxResults": 20,
  "includeDetails": true
}

Cheap furniture, sorted by price:

{
  "query": "sofa",
  "category": "møbler_indretning",
  "priceMin": 100,
  "priceMax": 3000,
  "sortBy": "price_asc",
  "maxResults": 50
}

Monitor new free items daily:

{
  "query": "gives væk",
  "region": "copenhagen",
  "sortBy": "newest",
  "maxResults": 100,
  "incrementalMode": true,
  "stateKey": "free-items-cph"
}

📊 Sample output

{
  "listingId": "a1b2c3d4e5f6789...",
  "title": "IKEA EKTORP 3-personers sofa, hvid",
  "description": "Velholdt 3-personers sofa fra IKEA. Betræk kan vaskes. Afhentes i Frederiksberg.",
  "price": 1500,
  "currency": "DKK",
  "condition": "good",
  "conditionDetails": "Brugt - men i god stand",
  "brand": "IKEA",
  "model": null,
  "category": "Sofaer",
  "categoryPath": "Møbler og indretning > Sofagrupper > Sofaer",
  "location": "2000 Frederiksberg",
  "zipCode": "2000",
  "latitude": 55.67891,
  "longitude": 12.52345,
  "imageUrl": "https://images.dbastatic.dk/dynamic/default/item/19737481/eac2ab62.jpg",
  "imageUrls": [
    "https://images.dbastatic.dk/dynamic/default/item/19737481/eac2ab62.jpg",
    "https://images.dbastatic.dk/dynamic/default/item/19737481/a8cdd630.jpg",
    "https://images.dbastatic.dk/dynamic/default/item/19737481/e1b2cd9e.jpg"
  ],
  "imageCount": 3,
  "sellerName": null,
  "sellerType": "private",
  "tradeType": "Til salg",
  "postedAt": "2026-03-21T12:30:00.000Z",
  "editedAt": "2026-03-21T14:15:22.060540+01:00",
  "url": "https://www.dba.dk/recommerce/forsale/item/19737481",
  "portalUrl": "https://www.dba.dk/recommerce/forsale/item/19737481",
  "isPromoted": false,
  "shippingAvailable": true,
  "buyNowAvailable": false,
  "attributes": {
    "phone_brand": "IKEA"
  },
  "scrapedAt": "2026-03-21T15:00:00.000Z",
  "source": "dba.dk"
}

⚙️ Input reference

Parameter	Type	Default	Description
Search
query	string	—	Search keywords (e.g. "iPhone", "sofa", "cykel").
category	enum	"all"	Filter by DBA category (møbler_indretning, elektronik, sport_friluftsliv, etc.).
Filters
condition	enum	"all"	Item condition: new_sealed, as_new, good, worn, needs_repair.
region	enum	"all"	Danish region: copenhagen, nordsjælland, fyn, nordjylland, østjylland, etc.
priceMin	integer	0	Minimum price in DKK.
priceMax	integer	0	Maximum price in DKK. 0 = no limit.
sellerType	enum	""	Seller type: private or dealer.
sortBy	enum	"relevance"	Sort: relevance, newest, oldest, price_asc, price_desc, closest (nearest to you).
Limits
maxResults	integer	50	Maximum results to return. 0 = unlimited.
Enrichment
includeDetails	boolean	true	Fetch detail pages for full descriptions, images, category paths, and attributes.
descriptionMaxLength	integer	0	Truncate description to N chars. 0 = no truncation.
Output
compact	boolean	false	Core fields only (for AI-agent/MCP workflows).
Incremental Tracking
incrementalMode	boolean	false	Only return new/changed listings compared to previous run.
stateKey	string	—	Stable identifier for tracked listing universe (e.g. "iphone-copenhagen").

📦 Output fields

Field	Type	Requires detail	Description
listingId	string		SHA-256 hash ID (deterministic, stable across runs)
title	string		Listing title
description	string	✓	Full seller description
price	number		Price in DKK (0 for free items)
currency	string		Always "DKK"
condition	string	✓	Normalized: new, like_new, good, fair, needs_repair
conditionDetails	string	✓	Original Danish condition text
brand	string		Brand name (e.g. "IKEA", "Apple")
model	string	✓	Model name (e.g. "iPhone 17/Air/Pro/Max")
category	string	✓	Leaf category (e.g. "Mobiltelefoner")
categoryPath	string	✓	Full path (e.g. "Elektronik > Telefoner > Mobiltelefoner")
location	string		City name, or "zipCode cityName" with detail
zipCode	string	✓	Danish 4-digit zip code
latitude	number		GPS latitude
longitude	number		GPS longitude
imageUrl	string		Primary image URL
imageUrls	string[]		All image URLs (1-10 per listing)
imageCount	number		Number of images
sellerName	string		Business name (dealers only)
sellerType	string		"private" or "dealer"
tradeType	string		"Til salg" or "Gives væk"
postedAt	string		ISO 8601 posting timestamp
editedAt	string	✓	ISO 8601 last-edit timestamp
url	string		Canonical listing URL
portalUrl	string		Direct link to listing
sellerId	number	✓	Numeric seller user ID (for cross-listing deduplication)
isPromoted	boolean		Whether listing is a paid promotion
shippingAvailable	boolean		"Fiks færdig" shipping available
freeShipping	boolean	✓	Seller pays shipping ("Fri fragt")
buyNowAvailable	boolean		"Køb nu" instant purchase available
disposed	boolean	✓	Listing has been sold or removed
isWebstore	boolean	✓	Listing is from a webshop (not individual seller)
attributes	object	✓	Extra attributes (size, memory, model, etc.)
scrapedAt	string		ISO 8601 scrape timestamp
source	string		Always "dba.dk"

⚠️ Known limitations

• Seller profile details (member since, rating, response time) require login and are not available without authentication.
• Contact information (phone, email) is not available — sellers use DBA's built-in messaging system.
• Price filter may include promoted listings outside the specified range, as DBA injects paid promotions into search results.
• Description is only available when includeDetails is enabled (slower, but adds full text and category data).
• Condition and category fields are null when includeDetails is disabled.

💰 How much does it cost to scrape DBA.dk?

This actor uses pay-per-event pricing — you only pay for results actually emitted.

Event	Price	When
actor-start	$0.01	Each run
result	$0.002	Per emitted listing

Example costs:

Scenario	Listings	Cost
Quick test	10	$0.03
Daily monitor	50	$0.11
Category scrape	500	$1.01
Full export	5000	$10.01

💡 Use cases

Price monitoring and market research

Track prices across DBA categories over time. Monitor competitor pricing, identify undervalued items, or analyze market trends for specific product categories.

Inventory and supply sourcing

Find specific products, parts, or materials across Denmark. Filter by region and price to find the best deals near you.

Reseller and arbitrage intelligence

Compare DBA prices against retail or other marketplaces. Identify products selling below market value for resale opportunities.

AI-agent and MCP workflows

Feed compact listing data into ranking, classification, or recommendation pipelines. The structured output with GPS coordinates enables location-aware agent workflows.

Recurring alerts

Use incremental mode to get notified about new listings matching your criteria — ideal for rare items, collectibles, or specific product searches.

🤖 AI-agent and MCP usage

Compact mode with description truncation reduces payload size for AI workflows:

{
  "query": "vintage ur",
  "category": "underholdning_hobby",
  "maxResults": 10,
  "descriptionMaxLength": 200,
  "compact": true
}

🔄 Incremental mode

Track new and changed listings across scheduled runs. Each stateKey maintains its own state, so you can monitor multiple searches independently.

Change type	Meaning
NEW	First time seen in the monitored result set
CHANGED	Previously seen listing with updated price or content

📖 Tutorial: scraping DBA.dk listings

1. Open the actor in Apify Console.
2. Enter a search query (e.g. "cykel") and optionally select a category and region.
3. Set maxResults to control how many listings to fetch.
4. Enable includeDetails for full descriptions, images, and category paths.
5. Run the actor and export the dataset as JSON, CSV, or Excel.

❓ FAQ

What data does this actor return from DBA.dk?

It returns 31 structured fields per listing including title, price, condition, brand, category path, GPS coordinates, up to 10 images, seller type, shipping availability, and full descriptions.

Does it support all DBA categories?

Yes — 11 categories including Møbler og indretning, Elektronik og hvidevarer, Sport og friluftsliv, Forældre og børn, Mode og skønhed, and more.

Can I filter by region?

Yes — 10 Danish regions are supported: København, Nordsjælland, Vestsjælland, Sydsjælland, Nordjylland, Østjylland, Midt- og Vestjylland, Syd- og Sønderjylland, Fyn, and Bornholm.

Does it handle free items ("Gives væk")?

Yes. Free items have price: 0 and tradeType: "Gives væk".

Is scraping DBA.dk legal?

This actor accesses publicly available data. Always review the target site's terms of service and your own legal requirements before using the data.

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