Bilbasen Scraper - Denmark’s Car Marketplace

What does Bilbasen Scraper do?

Bilbasen Scraper extracts structured listing data from bilbasen.dk — including full descriptions, location data, and seller ratings. It supports controllable result limits, so you can run the same query consistently over time.

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Key features

• ♻️ Incremental mode — daily runs emit only listings that are new or whose price/condition changed since last run. Perfect for inventory-diff dashboards and competitive pricing alerts. Saves 80–95% on recurring monitoring.
• 🔔 Notifications — telegram / Slack / Discord / WhatsApp / webhook alerts on each run. Combine with incremental to ping only when prices or inventory actually move.
• 🔗 Paste-mode — paste any bilbasen.dk URL — single-listing pages, search-results, or category SEO URLs. Build the filter you want in the browser, copy, paste; the actor parses every query param.
• 💵 Structured pricing — listing price parsed into a numeric price field plus filter inputs (priceFrom / priceTo) so you can target a budget band. Use priceType (where supported) to exclude leasing or wholesale listings.
• 📋 Detail enrichment — two-stage scraping — search-card data first, then a per-listing detail page fetch with full description, gallery images, equipment list, and seller contact info. Toggle with includeDetailPages.
• 🧠 Danish NLP enrichment — enrichFromDescription: true parses free-text Danish descriptions for service history, damage flags + severity, warranty status + expiry, registration number, and coarse region. Adds serviceStatus, damageFlag, damageSeverity, warrantyStatus, warrantyExpiry, registrationNumber, and coarseRegion fields.
• 🖼️ Image-output control — imagesMode: "first3" | "all" controls how many image URLs are embedded per listing. Always reports imagesCount regardless of mode — pick first3 for fast previews, all for complete galleries.
• 📦 Compact mode — light payload with core fields only — comparable rows across listings without HTML or metadata overhead. Perfect for pricing dashboards.
• ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.

What data can you extract from bilbasen.dk?

Each result includes Core listing fields (url, portalUrl, title, price, priceAmount, priceText, make, and model, and more) and detail fields when enrichment is enabled (description, descriptionHtml, and descriptionMarkdown). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Input

The main inputs are a result limit. Additional filters and options are available in the input schema.

Key parameters:

• startUrls — Bilbasen URLs to scrape. Supports both search pages (/brugt/bil/audi/a4) and single listings (/brugt/bil/vw/golf/variant/123456). Leave empty to use the filter params below.
• make — Car make to search for (e.g. "Audi", "BMW", "Toyota"). Used to build search URL when no startUrls provided.
• model — Car model to search for (e.g. "A4", "3-serien", "Yaris"). Requires make to be set.
• yearFrom — Minimum model year (e.g. 2018)
• yearTo — Maximum model year (e.g. 2024)
• priceFrom — Minimum price in DKK (e.g. 50000)
• priceTo — Maximum price in DKK (e.g. 300000)
• priceType — Filter by listing price type. Leave empty to include all types (Retail, engros, leasing). Set to "Retail" to show only standard retail listings.
• mileageFrom — Minimum odometer reading in km.
• mileageTo — Maximum odometer reading in km.
• fuelType — Fuel/drivetrain filter. Leave empty to include all.
• gearType — Transmission filter.
• ...and 29 more parameters

Input examples

Basic search — Fetch listings from the provided start URL.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "startUrls": [
    {
      "url": "https://www.bilbasen.dk/brugt/bil"
    }
  ],
  "maxResults": 50
}

Incremental tracking — Only emit vehicles that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "startUrls": [
    {
      "url": "https://www.bilbasen.dk/brugt/bil"
    }
  ],
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "bilbasen-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "startUrls": [
    {
      "url": "https://www.bilbasen.dk/brugt/bil"
    }
  ],
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured listing records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example listing record

{
  "url": "https://www.bilbasen.dk/brugt/bil/byd/sealion-7/82-comfort-5d/6814351",
  "portalUrl": "https://www.bilbasen.dk/brugt/bil/byd/sealion-7/82-comfort-5d/6814351",
  "title": "BYD Sealion 7 82 Comfort 5d",
  "price": 314700,
  "priceAmount": 314700,
  "priceText": null,
  "make": "BYD",
  "model": "Sealion 7",
  "variant": "82 Comfort 5d",
  "year": 2025,
  "mileage": 36000,
  "fuelType": "El",
  "gearType": "Automatisk gear",
  "color": null,
  "doors": null,
  "bodyType": null,
  "horsepower": null,
  "horsepowerHp": null,
  "torqueNm": null,
  "yearlyTax": null,
  "firstRegistrationDate": null,
  "registrationDate": null,
  "description": null,
  "descriptionHtml": null,
  "descriptionMarkdown": null,
  "contentHash": "330f136a5386ee53",
  "features": [],
  "location": "Odense S",
  "locationCity": "Odense S",
  "locationZipCode": 5260,
  "locationRegion": "Fyn",
  "locationLat": 55.350296,
  "locationLon": 10.408556,
  "dealer": null,
  "sellerName": null,
  "sellerType": "Forhandler",
  "sellerAddress": null,
  "sellerCity": "Odense S",
  "sellerZipCode": "5260",
  "sellerPhone": null,
  "contactEmail": null,
  "externalId": "6814351",
  "images": [
    "https://billeder.bilbasen.dk/bilinfo/8b94f7da-ebbd-4664-9f39-63cba8994dfc.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/b6b0dddc-65df-4415-bd27-de57339c3e94.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/720a286a-e8ea-48c6-9fc2-0a14cd0824a2.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/a678459c-1ea6-4f0d-9cca-81f1b34e496d.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/3e105966-45c8-4b56-ba1a-fb0254471f9d.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/234ee318-975e-4474-bc52-4574432305d9.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/17897580-83d0-4027-b18e-fbb7747ec215.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/757af381-7264-46d5-addb-2ac5d676c295.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/eb90ef73-1787-49cd-828a-71b110b535e9.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/79176387-9135-423f-befd-3b2b258801d9.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/e93dc877-3c99-45fa-9034-5d481bd19670.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/b46ba353-89f9-4adf-8f60-5c0ddf772b49.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/28e43007-b84c-48bd-aa14-56cb073b430f.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/6ff7fe82-479a-4ab9-b280-92cc5cd65f45.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/5f8b2617-6cab-45fb-b76e-378bfef12a0b.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/0274d909-19f4-46d5-9064-21072b2934d0.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/056b9bf2-b358-4d0d-93eb-595cdda58a00.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/5c236b70-328f-421c-b39b-c440a0d81510.jpeg?class=S640X640",
    "https://billeder.bilbasen.dk/bilinfo/f24a4853-2035-4b02-a8d2-cd996aca8415.jpeg?class=S640X640",
    "https://view.vzaar.com/18966b0f-6cd6-1d4e-e86a-e87577965fe0/player?apiOn=true",
    "https://billeder.bilbasen.dk/bilinfo/83d1bb30-efdf-4f9f-8fdd-c090e27caebc.jpg?class=S400X400"
  ],
  "imagesCount": 21,
  "scrapedAt": "2026-05-16T00:39:08.357Z",
  "drivingRangeKm": null,
  "batteryCapacityKwh": null,
  "energyConsumption": null,
  "chargingAc": null,
  "chargingDc": null,
  "chargingTimeDc10to80": null,
  "accelerationSec": null,
  "topSpeedKmh": null,
  "towWeight": null,
  "lastInspectionDate": null,
  "nextInspectionDate": null,
  "listPriceNewDkk": null,
  "vehicleCategory": null,
  "vehicleTypeClass": null,
  "cargoLiters": null,
  "weightKg": null,
  "widthCm": null,
  "lengthCm": null,
  "heightCm": null,
  "payloadKg": null,
  "maxTowWeightBrakedKg": null,
  "drivetrain": null,
  "hasAbs": null,
  "hasEsp": null,
  "airbagsNote": null,
  "ratingAverage": null,
  "ratingCount": null,
  "ratingLabel": null,
  "subRatings": null,
  "syiId": null,
  "tenant": null,
  "dataCompleteness": "serp-only"
}

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.

Sold-detection via skeleton items (opt-in, free)

Set pushUnchangedSkeletons: true (alongside incremental: true) to also receive a minimal {url, externalId, contentHash, changeType:"UNCHANGED"} record for every listing that hasn't changed since the previous run. The full SERP set thus appears in the dataset on every run — any listing absent from N consecutive runs is sold/removed.

Skeleton items are pushed FREE OF CHARGE. Only new and updated listings count as billable Results, so sold-detection adds no per-result cost — you pay the same as a regular incremental run.

How to scrape bilbasen.dk

1. Go to Bilbasen Scraper in Apify Console.
2. Configure the input.
3. Set maxResults to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract listing data from bilbasen.dk for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Benchmark seller / dealer reputation using rating fields.

How much does it cost to scrape bilbasen.dk?

Bilbasen Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.002 per listing record (new and updated listings only — see below)
• Unchanged-listing skeletons: free, when pushUnchangedSkeletons: true is enabled for sold-detection

Example costs:

• 10 results: $0.03
• 100 results: $0.21
• 500 results: $1.01

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.21	$0.02	$0.19 (90%)	$0.60
15% — moderate broad query	$0.21	$0.04	$0.17 (81%)	$1.20
30% — high-volume aggregator	$0.21	$0.07	$0.14 (67%)	$2.10

Full re-scrape monthly cost at daily polling: $6.30. First month with incremental costs $0.79 / $1.37 / $2.24 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

FAQ

How many results can I get from bilbasen.dk?

The number of results depends on the search query and available listings on bilbasen.dk. Use the maxResults parameter to control how many results are returned per run.

Does Bilbasen Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Bilbasen Scraper with other apps?

Yes. Bilbasen Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Bilbasen Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Bilbasen Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape bilbasen.dk?

This actor extracts publicly available data from bilbasen.dk. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.