DBA.dk Scraper | Danish Classifieds Marketplace avatar

DBA.dk Scraper | Danish Classifieds Marketplace

Pricing

from $1.00 / 1,000 results

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DBA.dk Scraper | Danish Classifieds Marketplace

DBA.dk Scraper | Danish Classifieds Marketplace

Scrape listings from DBA.dk, Denmark's largest classifieds marketplace. Supports search, price/region filtering, pagination, detail page extraction via JSON-LD. CheerioCrawler (268MB RAM).

Pricing

from $1.00 / 1,000 results

Rating

0.0

(0)

Developer

petteri mähönen

petteri mähönen

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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DBA.dk Scraper

Scrape DBA.dk, Denmark's largest classifieds marketplace. Extracts listing titles, prices, locations, and images from search results. Optionally crawls detail pages for full descriptions, condition, brand, and category data.

Features

  • Search result extraction — title, price, location, image URL, item ID
  • Detail page extraction — description, condition, brand, category path, all images
  • Multi-page pagination — scrape multiple pages of results
  • Price filtering — filter by min/max price (DKK)
  • Region filtering — filter by Danish region
  • Sort options — relevance, newest, cheapest, most expensive
  • Output formats — dataset, CSV, JSON, or all
  • Webhook delivery — POST results to your webhook URL on completion
  • Lightweight — CheerioCrawler (server-rendered JSON-LD), no browser overhead

Input

FieldTypeDefaultDescription
searchQuerystring"iphone"Search term
maxPagesnumber1Number of search pages to scrape
priceMinnumberMinimum price in DKK
priceMaxnumberMaximum price in DKK
regionsstringListFilter by Danish regions
sortselectrelevanceSort: relevance, newest, cheapest, most_expensive
fetchDetailscheckboxfalseVisit detail pages for extra data
detailDelaySecsnumber2Delay between detail page visits
outputFormatselectdatasetOutput: dataset, csv, json, all
webhookUrlstringWebhook URL for POST delivery

Output

Each listing includes:

FieldSource
titleSearch results
priceSearch results (formatted, e.g. "6 500 kr")
price_numericSearch results (parsed, e.g. 6500)
locationSearch results
regionSearch results
urlSearch results
image_urlSearch results
item_idSearch results
search_queryInput
page_numberSearch results
scraped_atISO timestamp
descriptionDetail page (if fetchDetails: true)
conditionDetail page
brandDetail page
category_pathDetail page (breadcrumb)
imagesDetail page (array of URLs)

Example

{
"searchQuery": "iphone",
"maxPages": 2,
"sort": "newest",
"priceMin": 1000,
"priceMax": 10000,
"regions": ["Hovedstaden", "Midtjylland"],
"fetchDetails": true,
"outputFormat": "all"
}

Performance

  • ~50 listings per search page
  • ~1-2 seconds per search page
  • ~2 seconds per detail page visit
  • CheerioCrawler — fast, no browser overhead

Notes

  • DBA.dk is server-rendered with JSON-LD markup — no JavaScript execution needed
  • Region filtering is applied post-extraction
  • Detail fields are null when fetchDetails: false
  • For large scrapes (10+ pages), consider using the all output format for CSV/JSON backup

Pricing

Pay per event — charged per listing extracted.

💬 Quick Start for AI Assistants

Copy and paste this into ChatGPT, Claude, or another AI assistant to get help using this actor:


You are helping me use the "DBA.dk Scraper" on Apify (actor ID: wu7WdcSp3ebeOziog). It extracts listings from dba.dk, Denmark's largest classifieds marketplace.

Input fields:

  • searchQuery: string, e.g. "iphone"
  • maxPages: number, pages to scrape (default: 1)
  • priceMin, priceMax: number, filter by DKK (default: none)
  • regions: string array, e.g. ["Hovedstaden", "Midtjylland"]
  • sort: "relevance" | "newest" | "cheapest" | "most_expensive"
  • fetchDetails: boolean, visit detail pages for descriptions, condition, brand
  • detailDelaySecs: number, seconds between detail visits (default: 2)
  • outputFormat: "dataset" | "csv" | "json" | "all"
  • webhookUrl: string, optional HTTPS URL for POST delivery

Output fields: title, price, price_numeric, location, region, url, image_url, item_id, search_query, page_number, scraped_at + detail fields (description, condition, brand, category_path, images).

Help me with the right input, output processing, or troubleshooting.

📋 Changelog

VersionDateChanges
0.12026-07-15Added AI assistant prompt block, updated actor title with keywords
0.0.32026-07-15Cloud-verified extraction — 53 listings in 5s (CheerioCrawler)