Jobindex Scraper

Scrape job listings from Jobindex.dk, Denmark's largest and best-known job board. Give it a Danish keyword and it returns clean, structured job data: titles, companies, locations, posting dates, deadlines, and direct application links. No login, no cookies, no browser automation.

What this actor does

Jobindex.dk lists tens of thousands of active vacancies across every Danish industry. This scraper searches the board by keyword, walks the paginated results, and outputs one clean JSON row per job. It reads the same structured data the site uses to render its results, so you get reliable fields instead of brittle HTML scraping.

Why use it

• Recruitment and sourcing — build a live feed of open roles for a market or discipline.
• Labour-market research — track hiring volume, employers, and locations over time.
• Job aggregation — feed a job board or newsletter with fresh Danish vacancies.
• Competitor hiring intelligence — see who is hiring, for what, and where.
• Lead generation — companies actively hiring are companies that are growing.

No account and no cookies are required. The actor runs over Danish residential proxies for reliable, geo-correct access.

How to scrape Jobindex data

1. Add the actor to your Apify account (or run it via the API).
2. Enter a Danish search keyword in searchQuery — for example udvikler (developer), sygeplejerske (nurse), ingeniør (engineer), or lærer (teacher).
3. Optionally set a location filter such as København, Aarhus, or Odense.
4. Set maxResults to how many listings you want.
5. Keep the default residential DK proxy configuration.
6. Run the actor. Results appear in the dataset and can be exported to JSON, CSV, Excel, or fetched via the API.

Because Jobindex is a Danish-language site, searches work best with Danish keywords. Search a broad term (udvikler) for volume, or a specific title for precision.

Input

Field	Type	Description
searchQuery	string	Danish search keyword. Defaults to udvikler (developer) if empty.
location	string	Optional city/region filter (matches area, city, and postal code). Leave empty for all of Denmark.
maxResults	integer	Maximum number of listings to scrape. Default 100.
proxyConfiguration	object	Proxy settings. Defaults to Apify residential proxies in Denmark (DK).

Example input

{
    "searchQuery": "udvikler",
    "location": "København",
    "maxResults": 100,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "DK"
    }
}

Output

Each job listing is a flat JSON object.

Field	Type	Description
jobTitle	string	Job position title (Danish).
company	string	Hiring company name.
location	string	Full workplace location (street, postal code, city).
area	string	City or region label shown on the listing.
zipcode	string	Danish postal code.
remote	boolean	Whether the job offers remote / home working.
postedDate	string	When the job was first posted (ISO 8601).
deadline	string	Application deadline / last active date (ISO 8601).
applicationUrl	string	Direct link to apply for the job.
companyUrl	string	Company website or Jobindex company profile.
companyLogo	string	URL of the company logo image.
source	string	Original source of the posting, if provided.
jobId	string	Jobindex internal job identifier.
url	string	Direct URL to the job listing on Jobindex.
scrapedAt	string	ISO 8601 timestamp of when the data was collected.

Example output

{
    "jobTitle": "Junior Frontend-udvikler",
    "company": "Vertica A/S",
    "location": "Åboulevarden 69, 8000 Aarhus C",
    "area": "Aarhus C",
    "zipcode": "8000",
    "remote": false,
    "postedDate": "2026-07-08T00:00:00.000Z",
    "deadline": "2026-08-05T00:00:00.000Z",
    "applicationUrl": "https://vertica.career.emply.com/apply/junior-frontend-udvikler/gncb4x#jobdk",
    "companyUrl": "https://www.vertica.dk/",
    "companyLogo": "https://www.jobindex.dk/img/logo/3_applogo_vertica_600_20260106.png",
    "source": null,
    "jobId": "h1681591",
    "url": "https://www.jobindex.dk/vis-job/h1681591",
    "scrapedAt": "2026-07-10T09:00:00.000Z"
}

Cost estimate

Jobindex serves 20 listings per request, so a run is cheap and fast. Scraping a few hundred jobs takes seconds of compute and a handful of proxy requests. Pricing follows Apify's pay-per-result model: you are charged per job listing returned, so cost scales directly with maxResults.

Limitations and notes

• Danish keywords work best. Jobindex is a Danish-language board; English terms return fewer or no matches.
• Location is filtered on the fetched results. Jobindex does not expose a simple location query parameter, so the location filter matches against each job's area, city, and postal code. A rare location combined with a low maxResults may return fewer rows than requested.
• No salary field. Danish job listings on Jobindex rarely publish salary, so no salary column is provided.
• Result depth. Jobindex caps a single search at roughly 50 pages (about 1,000 listings). Narrow the keyword to reach deeper into a large result set.

Related scrapers

Building a European hiring dataset? Combine Jobindex with our other job-board scrapers:

• NoFluffJobs Scraper — transparent EU tech jobs with mandatory salary ranges.
• Pracuj Scraper — Poland's largest job board.
• Kariyer.net Scraper — Turkey's leading job board.
• Reed Scraper — UK job listings.
• StepStone Scraper — jobs across Germany and Europe.

Disclaimer

This actor collects publicly available job listing data for research and aggregation. Respect Jobindex.dk's terms of service and applicable data-protection law when using the output.