Jobdanmark [Just 💰$2] — Danish Job Board

What does Jobdanmark do?

Jobdanmark extracts structured job data from jobdanmark.dk — including contact details (email, apply URL), company metadata, full descriptions, and location data. It supports keyword search and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions, company metadata, and contact information) where the source provides them.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Jobdanmark jobs" pings to your hiring channel.
• 📋 Detail enrichment — two-stage mode: list, then enrich each job with the full description + detail-page fields (apply counts, education, etc.). One toggle, no extra orchestration.
• 📦 Compact mode — AI-agent and MCP-friendly compact payloads with core fields only — pipe straight into your ATS, salary-benchmarking tool, or LLM context without parsing extras.
• 📝 Description format selection — pick a single description representation — text, html, or markdown — and the unused variants are dropped from each record. Halves payload size when your pipeline only consumes one format.
• ♻️ Incremental mode — recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.
• 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).
• 📧 Email + phone extraction — every record carries extractedEmails[] and extractedPhones[] regex-pulled from the description — direct-outreach lists with no extra processing step.
• 🔗 URL + social-profile extraction — every record carries extractedUrls[] and structured socialProfiles { linkedin, twitter, github, … } parsed from the description — useful when employers drop their careers page or recruiter LinkedIn in-line.
• 🧹 Empty-field stripping — drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards that already handle missing fields gracefully.
• 🔌 MCP connectors — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.

What data can you extract from jobdanmark.dk?

Each result includes Core job fields (jobId, title, jobTypes, publishedDate, applicationDeadline, url, portalUrl, and isPromoted, and more), detail fields when enrichment is enabled (description), contact and apply information (contactName, contactPhone, contactEmail, and applyUrl), and company metadata (companyName, companyAddress, and 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 richer fields such as full descriptions, company metadata, and contact information where the source provides them.

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 (1179 titles). Leave empty with a jobType to get all listings of that type.
• jobType — Filter by employment type. (default: "")
• category — Filter by job category. Uses jobdanmark.dk's 10 business groups. (default: "")
• maxResults — Maximum total results (0 = unlimited). (default: 25)
• includeDetails — Fetch full job description from detail pages. Slower but provides complete descriptions. (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)
• descriptionFormat — Pick a single description representation. all keeps every variant; text / html / markdown drop the others. (default: "all")
• excludeEmptyFields — Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards. (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.
• telegramToken — Telegram bot token from @BotFather. Required for Telegram notifications.
• ...and 20 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

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

{
  "query": "software",
  "maxResults": 50
}

Filtered search — Narrow results with advanced filters — only matching jobs are returned.

→ Same field set as basic search; fewer, more relevant rows.

{
  "query": "software",
  "jobType": "fuldtid",
  "category": "paedagogik",
  "maxResults": 100
}

Incremental tracking — Only emit jobs 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.

{
  "query": "software",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "software-tracker"
}

Compact filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
  "query": "software",
  "jobType": "fuldtid",
  "category": "paedagogik",
  "maxResults": 50,
  "compact": 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"
  ],
  "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? Har du naturforståelse, ledelseserfaring og lyst til at påtage dig ansvaret for et...",
  "contactName": "Kristian Ahlefeldt Gernow",
  "contactPhone": "2143 1452",
  "applyUrl": "https://candidate.hr-manager.net/ApplicationForm/SinglePageApplicationForm.aspx?cid=3010&departmentId=19734&ProjectId=159034&MediaId=4844",
  "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",
  "employmentType": [
    "FULL_TIME"
  ],
  "addressLocality": "Randbøl",
  "addressRegion": "Syddanmark",
  "postalCode": "7183"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape jobdanmark.dk

1. Go to Jobdanmark in Apify Console.
2. Enter a search keyword.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info, company 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.
• Monitor new and changed jobs on scheduled runs without processing the full dataset every time.
• Build outreach lists using contact details and apply URLs from listings.
• Research company hiring patterns, employer profiles, and industry distribution.
• 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.

How much does it cost to scrape jobdanmark.dk?

Jobdanmark 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
• 25 results: $0.06
• 100 results: $0.21
• 200 results: $0.41
• 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 jobs 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 jobs per run, daily polling (30 runs/month). Costs scale linearly with the number of jobs.

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 the same cadence: $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 jobdanmark.dk?

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

Does Jobdanmark support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed jobs 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 Jobdanmark with other apps?

Yes. Jobdanmark 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 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 through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields 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.

You might also like

• ⚡ LinkedIn Job Scraper — Salary, Company & No Cookies — 💰 $0.27 per 1,000 jobs ✅ Scrape linkedin.com job postings without login or cookies: salary, skills.
• Actiris [Just 💰$1.5] — Brussels Public Jobs — 💰 $1.5 per 1,000 jobs. Scrape actiris.brussels — the official Brussels public employment service.
• AMS Austria — Public Employment Service Jobs — Scrape jobs.ams.at — Austria's official AMS public employment portal (branded alle jobs) with live.
• APEC.fr Scraper - French Executive Jobs — Scrape apec.fr - French executive job listings with salary ranges, company, location, skills,.
• Arbeitsagentur [Just 💰$0.45] — German Federal Jobs — 💰 $0.45 per 1,000 jobs. Scrape arbeitsagentur.de — Germany's official public employment portal.
• Arbetsförmedlingen [Just 💰$3] — Sweden Public Jobs — 💰 $3 per 1,000 jobs. Scrape arbetsformedlingen.se (Platsbanken) — Sweden's official employment.
• Bayt — MENA Jobs with Salary & Skills — Scrape bayt.com — the leading Middle East job board across UAE · Saudi Arabia · Qatar · Egypt & 9.
• BestJobs.eu [Just 💰$1.5] — Romania Job Board — 💰 $1.5 per 1,000 jobs. Scrape bestjobs.eu — a leading Romanian job board — export salary ranges ·.

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.

Disclaimer

This actor accesses only publicly available data on jobdanmark.dk. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Jobdanmark's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is not affiliated with, endorsed by, or connected to Jobdanmark.

Search keywords

jobdanmark scraper, jobdanmark api, apify jobdanmark, jobdanmark data extraction, jobdanmark.dk scraper, jobdanmark.dk data, jobdanmark.dk api, job listings scraper, recruitment data, hiring data, job board scraper, jobdanmark.dk, danish jobs, denmark job board, stillinger danmark, jobs denmark.