Jobnet.dk Scraper avatar
Jobnet.dk Scraper

Pricing

$29.00/month + usage

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Jobnet.dk Scraper

Jobnet.dk Scraper

Scrape job listings from Denmark’s official Jobnet portal—collect titles, descriptions, URLs, posting dates, locations, and more. Ideal for job aggregation, market research, recruitment intelligence, and labor analytics. Fast, reliable, and customizable.

Pricing

$29.00/month + usage

Rating

5.0

(1)

Developer

Lexis Solutions

Lexis Solutions

Maintained by Community

Actor stats

2

Bookmarked

5

Total users

1

Monthly active users

4 days ago

Last modified

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Jobnet DK Scraper

Jobnet DK Scraper

🔎 What is the Job Jobnet DK Scraper?

The Job Jobnet DK Scraper is a powerful web scraping tool that allows you to extract job listings from jobnet.dk, Denmark's official government employment portal. This actor fetches relevant job postings and extracts comprehensive fields including job titles, descriptions, company information, location data, application deadlines, and posting dates.

💼 What are the use cases for the Job Jobnet DK Scraper?

The Job Jobnet DK Scraper is a web scraping tool used for collecting job offers from Denmark's official employment portal. It allows users to scrape jobs posted on the platform according to predefined search criteria.

Use Cases:

  • Job Aggregation Services: Aggregate job listings from jobnet.dk alongside other Danish and international job boards into a single platform. Keep your job aggregator site up-to-date with fresh job data from Denmark's largest job portal.
  • Market Research and Analysis: Analyze Danish labor market trends, understand demand for specific skills, and identify regional employment patterns. Researchers and analysts use this data to make informed decisions about the Danish job market.
  • Recruitment and Talent Acquisition: Track job openings in specific Danish sectors or regions. Monitor competitor hiring activities and understand compensation packages in the Danish market.
  • Competitive Intelligence: Monitor competitors' hiring activities in Denmark, providing insights into their growth strategies and talent needs.
  • Salary Analysis and Benchmarking: Collect salary data from Danish job postings to benchmark compensation packages against industry standards in Denmark.
  • Economic and Labor Market Research: Study Danish economic trends, employment rates, and workforce dynamics. Ideal for government agencies, research institutions, and economic analysts.
  • Career Counseling and Planning: Help job seekers analyze the Danish job market, plan their career paths, and identify relevant opportunities.
  • HR Technology and Software Development: Power HR software and tools with Danish job market data to enhance recruitment processes.

Why use the Job Jobnet DK Scraper?

  • ⚡️ Fast - The scraper uses API-based extraction, making it fast and efficient, allowing you to scrape job listings programmatically at scale.
  • 🤙 Easy to use - The scraper is easy to use and requires no coding knowledge. Just input the search URL and maximum items, and the scraper handles the rest.
  • 🇩🇰 Official Source - Scrapes from Denmark's official government employment portal, ensuring you get comprehensive coverage of Danish job market.
  • ☑️ Well-Maintained - The scraper is maintained by the Lexis Solutions team, ensuring it is always up-to-date and working properly.
  • 📊 Structured Output - Get clean, structured data with comprehensive job details ready for analysis, visualization, or integration into your applications.
  • 🔄 Smart Pagination - Automatically handles API pagination through all available results.
  • 🎯 Rich Data - Extracts detailed information including company details, location data, job descriptions, application deadlines, and more.

📖 How to use the Jobnet DK Scraper?

  1. Create a free Apify account
  2. Open Job Jobnet DK Scraper
  3. Add a start URL from jobnet.dk (e.g., https://jobnet.dk/find-job?searchString=software)
  4. Set the maximum number of items to scrape
  5. (Optional) Configure proxy settings if needed
  6. Click Start and wait for the results
  7. Download the results in JSON, XML, or CSV format or connect the actor to your backend via API

📥 Input

To run the actor, simply configure:

  • Start URLs - Array of URLs from jobnet.dk to start scraping from. Should be search or category pages from the /find-job path. Example: https://jobnet.dk/find-job?searchString=software

  • Maximum Items - The maximum number of job listings to scrape. The actor will stop when it reaches this limit (default: 100)

  • Proxy Configuration (Optional) - Proxy configuration to use for the scraper. Leave empty to use default proxy configuration.

Example Input:

{
"startUrls": [
{
"url": "https://jobnet.dk/find-job?searchString=software"
}
],
"maxItems": 100,
"proxyConfiguration": {
"useApifyProxy": false
}
}

📤 Output

The scraper returns structured JSON data for each job listing with the following fields:

  • country - Country name (e.g., "Danmark")
  • municipality - Municipality name (e.g., "Aarhus")
  • postalCode - Postal code number
  • postalDistrictName - Postal district name
  • hiringOrgName - Name of the hiring organization
  • occupation - Job occupation/title
  • conceptUriDa - ESCO occupation concept URI
  • workHourPartTime - Boolean indicating if the position is part-time
  • jobAdId - Unique identifier for the job advertisement
  • jobAdUrl - URL to the full job advertisement page
  • logoUrl - URL to the company logo
  • hasLogo - Boolean indicating if a logo is available
  • workPlaceAddress - Workplace address
  • cvr - Company registration number (CVR)
  • title - Job title
  • description - Full job description (HTML formatted)
  • applicationDeadline - Application deadline date (ISO 8601 format)
  • applicationDeadlineStatus - Status of the application deadline
  • isSeen - Boolean indicating if the job has been seen
  • isFavorite - Boolean indicating if the job is marked as favorite
  • isExternal - Boolean indicating if the job is external
  • publicationDate - Date when the job was published (ISO 8601 format)

Example Output:

{
"country": "Danmark",
"municipality": "Aarhus",
"postalCode": 8210,
"postalDistrictName": "Aarhus V",
"hiringOrgName": "Generaxion",
"occupation": "Softwareudvikler, backend",
"conceptUriDa": "http://data.star.dk/esco/occupation/2cd16234-7821-4d6b-b90e-aa4a629b3fe3",
"workHourPartTime": false,
"jobAdId": "03929b77-774b-42d1-8dee-50eedd9faf46",
"jobAdUrl": "",
"logoUrl": "https://jobnet.dk/bff/SharedComponents/JobAdCard/CompanyLogo/ByJobAdId/03929b77-774b-42d1-8dee-50eedd9faf46",
"hasLogo": true,
"workPlaceAddress": "",
"cvr": "31189810",
"title": "Senior Backend Udvikler (PHP) │Aarhus",
"description": "<b>Vil du være med til at udvikle...</b>",
"applicationDeadline": "2026-03-03T16:01:44+01:00",
"applicationDeadlineStatus": "ExpirationDate",
"isSeen": false,
"isFavorite": false,
"isExternal": false,
"publicationDate": "2026-01-06T00:00:00+01:00"
}

Need to scrape other job boards in Europe?


👀 p.s.

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