TechJob.dk Scraper

Scrape job listings from TechJob.dk, Denmark's tech, IT and engineering sector job board, run by Teknologiens Mediehus.

Why use this actor?

TechJob.dk carries several hundred live tech, IT and engineering vacancies at any time, including postings that never make it to the general Danish boards (jobnet.dk, LinkedIn) because employers list them specifically on a sector site their target candidates already read. Each result includes the full job description, the posted date and application deadline, and the site's own category tags, not just the headline fields shown on the listing page — those only appear once you open the individual job, which is exactly what this actor does for every result. That is the difference between a quick scrape of the search page and a dataset you can actually filter and analyze (by deadline, by category, by how recently a role was posted).

Input

Field	Type	Required	Description
searchQuery	String	No	Danish search keyword (e.g. ingeniør = engineer, udvikler = developer, projektleder = project manager). Leave empty to browse every live listing on the site.
maxResults	Integer	No	Maximum number of job listings to return (default: 50).
fetchFullDescription	Boolean	No	Visit each job's detail page for the posted date, deadline, categories and full description (default: true). Set to false for a faster run limited to the listing-card fields (title, company, job type, location).
proxyConfiguration	Object	No	Proxy settings. TechJob.dk has no anti-bot protection — the default Apify proxy is enough, no residential proxy needed.

Output

Each result contains:

Field	Type	Example
jobTitle	String	"Civil Engineer"
company	String	"Aarhus Havn"
companyUrl	String	"https://techjob.dk/virksomhed/aarhus-havn"
location	String	"Aarhus"
jobType	String	"Fastansættelse" (permanent position)
categories	Array	["Havne", "Anlæg", "Konstruktioner"]
description	String	Full job description text, HTML stripped
postedDate	String	"2026-08-28" (ISO 8601, year inferred — see Limitations)
postedDateRaw	String	"28. aug" (exactly as shown on the site)
deadline	String or null	"2026-09-28", or null if no deadline is disclosed
deadlineRaw	String or null	"28. sep"
applyUrl	String	TechJob.dk's own outbound application link
isNew	Boolean	Whether the listing carries the site's "Nyt job" badge
isTop	Boolean	Whether the listing carries the site's "Top job" (featured) badge
jobId	String	TechJob.dk's internal listing ID, e.g. "106405"
url	String	Direct URL to the job listing
scrapedAt	String	ISO 8601 timestamp of when the data was collected
searchQuery	String or null	The search keyword used to find this job (echoed from input)

Example output

{
    "jobTitle": "Civil Engineer",
    "company": "Aarhus Havn",
    "companyUrl": "https://techjob.dk/virksomhed/aarhus-havn",
    "location": "Aarhus",
    "jobType": "Fastansættelse",
    "categories": ["Havne", "Anlæg", "Konstruktioner"],
    "description": "Aarhus Havn søger en Civil Engineer til...",
    "postedDate": "2026-08-28",
    "postedDateRaw": "28. aug",
    "deadline": "2026-09-28",
    "deadlineRaw": "28. sep",
    "applyUrl": "https://techjob.dk/job/apply/106405",
    "isNew": false,
    "isTop": false,
    "jobId": "106405",
    "url": "https://techjob.dk/job/civil-engineer-106405",
    "scrapedAt": "2026-09-06T14:08:37.188Z",
    "searchQuery": "ingeniør"
}

How to scrape techjob.dk data

1. Open this actor on the Apify Store and click Try for free.
2. Optionally fill in searchQuery with a Danish keyword (e.g. udvikler, ingeniør, projektleder). Leave it empty to pull every live listing on the site.
3. Set maxResults to how many job listings you want.
4. Click Start. The actor first paginates the search results page to collect job listing URLs, then opens each job's detail page to pull the posted date, deadline, category tags and full description.
5. Download the results as JSON, CSV, or Excel from the Dataset tab, or pull them via the Apify API into your own pipeline.

No login, account, or cookies are required — TechJob.dk's listings and job pages are fully public.

Cost estimate

This actor uses approximately 0.3–0.5 compute units per 1,000 results on the default 1 GB memory setting (plain HTTP requests, no browser rendering). At standard Apify pricing, that is a few cents per 1,000 listings. A run's usage cost only settles once the run finishes with status SUCCEEDED — a run you abort early is billed for what it used up to that point, not a fixed per-listing price agreed up front.

Limitations

• TechJob.dk publishes the posted date and deadline as a day + month only (e.g. "28. aug"), with no year. The actor infers the year from the scrape date; this is reliable except right at a year boundary for a handful of old listings, which is why both the parsed ISO date (postedDate/deadline) and the raw site text (postedDateRaw/deadlineRaw) are included.
• Not every listing discloses a fixed application deadline — deadline is null in that case rather than a guessed value.
• Category tags are the site's own free-text taxonomy; there is no stable category ID mapping exposed for filtering by category in this actor.
• Data is scraped from the public website and may change without notice.
• Respect the website's terms of service and use responsibly.

Maintained by Studio Amba

We run 700+ scrapers for European websites, and the priority is keeping every one of them working. Automated runs test this actor against the live site and verify the output is complete. When the website changes, the scraper usually gets repaired the same day, without you having to report anything. Questions and issues go straight to the people who built it, and most get an answer the same day.

Related scrapers

• Jobnet Scraper — Denmark's official public employment service job bank, run by STAR (all sectors, tens of thousands of listings).
• Other Danish and Nordic job board scrapers in the Studio Amba catalog.

Need this data on a schedule, or a custom version?

We run this scraper as a managed service for businesses: scheduled runs, deduplication, delta detection, and delivery to your inbox, Google Sheets, or API, maintenance included. We can also build a custom version with your exact fields and filters, or combine multiple sources into one feed.

See studioamba.dev/services or email hello@studioamba.dev for a free data sample.