Jobdanmark Scraper

What does Jobdanmark Scraper do?

Jobdanmark Scraper extracts structured job data from jobdanmark.dk — Denmark's job portal with 14,500+ listings. Each result includes job title, company info, contact details (name, phone, email), apply URL, full description, employment type, and structured location data (city, region, postal code). It supports keyword search, job type filters, category filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment, incremental monitoring that only returns new or changed results on recurring runs, and a compact output mode for AI-agent and MCP workflows.

What data can you extract from jobdanmark.dk?

Each result includes core listing fields (jobId, title, jobTypes, publishedDate, applicationDeadline, url, portalUrl, isPromoted), detail fields when enrichment is enabled (description, employmentType), contact and apply information (contactName, contactPhone, contactEmail, applyUrl), structured location data (addressLocality, addressRegion, postalCode), and company metadata (companyName, companyAddress, companyLogoUrl). 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.

Enable detail enrichment in the input to get full descriptions, contact info, employment type, and location data.

Input

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

Key parameters:

• query — Job search keywords. Matched against jobdanmark.dk's jobtitle catalog (1,179 titles). Leave empty with a jobType or category to browse all listings of that type.
• jobType — Filter by employment type: fuldtid, deltid, fleksjob, elev, studiejob, praktik. (default: "")
• category — Filter by job category: IT, Sundhed, Håndværk, Salg, Kontor, Ledelse, Hotel, Pædagogik, Pleje, Øvrige. (default: "")
• maxResults — Maximum total results (0 = unlimited). (default: 50)
• includeDetails — Fetch full job description, contact info, and location from detail pages. (default: true)
• descriptionMaxLength — Truncate description to N characters. 0 = no truncation. (default: 0)
• compact — Core fields only (for AI-agent/MCP workflows). Omits description, logo URL, and metadata. (default: false)
• incrementalMode — Only output new/changed listings compared to previous run. (default: false)
• stateKey — Stable identifier for tracked universe. Different stateKeys maintain separate state.

Input example

{
  "query": "software",
  "jobType": "fuldtid",
  "category": "it",
  "maxResults": 50,
  "includeDetails": true
}

Output

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

Example job record

{
  "jobId": "31c7355d558ba4d2f1502f413c82c52607ce493cc193cf1b4b7aa12143fca68a",
  "title": "Teamleder søges til Lysåben Natur hos Naturstyrelsens enhed Arealer i Randbøl",
  "companyName": "Naturstyrelsen",
  "companyAddress": "Førstballevej 2 7183 Randbøl",
  "companyLogoUrl": "https://jobdanmark.dk/media/y1lpnbmn/logo.png",
  "jobTypes": ["fuldtid"],
  "employmentType": ["FULL_TIME"],
  "publishedDate": "2026-03-26",
  "applicationDeadline": "2026-04-09",
  "description": "Vil du være med til at lede Naturstyrelsens overordnede forvaltning af nogle af Danmarks vigtigste naturområder?...",
  "contactName": "Kristian Ahlefeldt Gernow",
  "contactPhone": "2143 1452",
  "contactEmail": null,
  "applyUrl": "https://candidate.hr-manager.net/ApplicationForm/SinglePageApplicationForm.aspx?cid=3010&departmentId=19734&ProjectId=159034&MediaId=4844",
  "addressLocality": "Randbøl",
  "addressRegion": "Syddanmark",
  "postalCode": "7183",
  "url": "https://jobdanmark.dk/job/teamleder-soeges-til-lysaaben-natur-hos-naturstyrelsens-enhed-arealer-i-randboel",
  "portalUrl": "https://jobdanmark.dk",
  "isPromoted": true,
  "scrapedAt": "2026-03-27T06:07:31.972Z",
  "source": "jobdanmark.dk"
}

How to scrape jobdanmark.dk

1. Go to Jobdanmark Scraper in Apify Console.
2. Enter a search keyword (e.g. "software") or select a job type and category.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info, and location data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from jobdanmark.dk for market research and competitive analysis across Denmark.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Build outreach lists using contact details (name, phone, email) and apply URLs from listings.
• Research company hiring patterns, employer profiles, and industry distribution by category.
• Use structured location data (city, region, postal code) for regional analysis 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.

How much does it cost to scrape jobdanmark.dk?

Jobdanmark 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 job record

Example costs:

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

Incremental runs only charge for new or changed results, making recurring monitoring cost-efficient.

FAQ

How many results can I get from jobdanmark.dk?

jobdanmark.dk currently has around 14,500 active listings. Use the maxResults parameter to control how many results are returned per run.

Does Jobdanmark 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 filter by location?

Not yet as a direct input parameter, but you can filter results by addressLocality, addressRegion, or postalCode in the output data. Location filters via the input are planned for a future release.

Can I integrate Jobdanmark Scraper with other apps?

Yes. Jobdanmark 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 Jobdanmark 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 Jobdanmark 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 jobdanmark.dk?

This actor extracts publicly available data from jobdanmark.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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