University of Copenhagen PhD Jobs Scraper (KU)

Fetch all open PhD and research fellowship positions from the University of Copenhagen's HR employment feed — every faculty and department, not just one discipline.

The University of Copenhagen (KU) is Denmark's largest university and a major European research employer. Its HR feed lists PhD fellowships and research positions across every faculty — Science, Health, Humanities, Law, Social Sciences and Theology. This Actor reads that feed directly and returns each opening as structured JSON, including a parsed application deadline, so you can build alerts and dashboards without scraping the site by hand.

What University of Copenhagen PhD data does this scraper extract?

Each result is one flat JSON record per job posting:

Field	Meaning
id	Stable source-side identifier
title	Job title as posted
company	Hiring institution (always "University of Copenhagen")
location	Location / duty station
url	Direct link to the posting
postedAt	Publish date/time, ISO 8601 (null if the feed didn't provide one)
deadline	Application deadline parsed from the posting text — ISO YYYY-MM-DD when the date format is recognised, the raw matched date text otherwise, or null when no deadline is stated
field	KU faculty named in the posting (Science, Health and Medical Sciences, Humanities, Law, Social Sciences or Theology), or null if the text states none
snippet	Short plain-text description excerpt (only when includeSnippet is true)
isNew	true on delta runs (onlyNewSinceLastRun) for a posting not seen before; omitted on normal runs

How to scrape University of Copenhagen PhD with this Actor

1. Click Try for free / Run — no login to the target site, no cookies, no proxies to configure.
2. Adjust the input (keywords, postedSince, maxItems, onlyNewSinceLastRun) or keep the defaults.
3. Run it and export the dataset as JSON, CSV or Excel, or read it over the API.

Run it from your own code:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("nomad-agent/math-ku-phd-scraper").call(run_input={"maxItems": 50})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], "—", item["company"], item["url"])

Or a single HTTP call that runs the Actor and returns items in one response:

curl -X POST \
  "https://api.apify.com/v2/acts/nomad-agent~math-ku-phd-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"maxItems": 50}'

Input

Field	Type	Default	Notes
maxItems	integer	25	Maximum number of PhD openings to return (max 500). Each result returned is billed. Set 0 for no limit (all current openings — typically 25-40 at any time).
keywords	array of strings	(none)	Only return postings whose title or description contains at least one of these terms (case-insensitive substring, OR match), e.g. ["quantum", "machine learning", "bioinformatics"]. Filtered-out postings are dropped before billing. Leave empty to return every open position across all faculties.
onlyNewSinceLastRun	boolean	false	Delta / monitoring mode — only output postings not seen on a previous flagged run. See Delta mode / monitoring.
includeSnippet	boolean	true	Include a plain-text excerpt (up to 400 characters) from the job description in each result.
postedSince	string (date)	(none)	Only return postings published on or after this date. Leave empty to return all currently open positions.
cacheTtlSeconds	integer	1800	(Advanced) Reuse a previously fetched listing if it is younger than this many seconds, instead of fetching it again. Set 0 to always fetch fresh.

Output example

{
  "id": "164715",
  "title": "PhD fellowship in fault tolerant quantum algorithms",
  "company": "University of Copenhagen",
  "location": "Copenhagen, Denmark",
  "url": "https://employment.ku.dk/phd/?show=164715",
  "postedAt": "2026-06-28T00:00:00Z",
  "deadline": "2026-07-12",
  "field": "Faculty of Science",
  "snippet": "PhD fellowship in fault tolerant quantum algorithms PhD Project in state preparation, observable extraction or noise modelling Niels Bohr Institute Faculty of Science University of Copenhagen..."
}

deadline is null for the small minority of postings whose text doesn't state an explicit date near the word "deadline".

Delta mode / monitoring

Set onlyNewSinceLastRun to true to turn this Actor into a "new openings only" monitor. Each flagged run records the ids it delivers in a dedicated key-value store; the next flagged run drops any posting it has already seen before it is pushed or billed, so you pay only for genuinely new KU openings. Records emitted in this mode carry an extra isNew: true field. The first flagged run has nothing to compare against, so it emits every current opening.

Pair it with Apify's built-in Schedule feature: schedule a daily or weekly run with onlyNewSinceLastRun on (optionally with a keywords filter) and each run's dataset holds only the PhD positions that appeared since the last check — a ready-made feed for a PhD-alert bot, a Slack/email digest, or a Make/Zapier/n8n automation. Because already-seen postings are filtered before billing, an idle week costs only the actor-start fee.

Pricing

Pay per event: $0.005 per Actor start and $0.002 per job returned (volume discounts on higher Apify plans, down to $0.0016/job). 100 jobs ≈ $0.41. No subscription, no rental, no proxy costs — you pay only for what you fetch.

Integrations

Export the dataset as JSON, CSV or Excel from the Console, or read it programmatically over the Apify API — including a single run-sync-get-dataset-items call (see below). Works with Make, Zapier and n8n via the Apify app/node, and is callable by AI agents through the Apify MCP server.

Use cases

• PhD-alert bots for any discipline at the University of Copenhagen
• Academic job aggregation for Scandinavia
• Tracking Danish university hiring
• Research-career services

FAQ

Is it legal to scrape University of Copenhagen PhD? This Actor reads only publicly available job postings — data any visitor can see without logging in. No personal data behind authentication is touched. Review the target site's terms and your local regulations for your specific use case.

Do I need an account on the target site? No. Postings are fetched from public pages/APIs — no login, cookies or session tokens.

How fresh is the data? Every run fetches live listings. Results are cached for cacheTtlSeconds (default 30 min, set 0 to always hit the source live).

How many jobs can I get? maxItems caps the run (set 0 where supported for no cap). Most sources paginate from newest to oldest.

Does it cover all faculties or just one discipline? All of them — the scraper reads KU's university-wide employment feed, so quantum-physics, medicine, law and humanities fellowships all appear in a single run.

Something broken or missing? Open an issue on the Actor's Issues tab — it is monitored and reliability fixes ship fast.

Is this Actor useful to you? A quick review on the Store page helps other researchers find it — it takes a minute and makes a real difference for a niche tool like this.

Related Actors

Need more than one university? This KU connector is bundled into our multi-source academic aggregator, so you can pull KU alongside EURAXESS, jobs.ac.uk, AcademicPositions and more in a single deduplicated run:

• Research & Academic Jobs Scraper — 10 Sources — KU + 9 other academic sources, one dataset
• EURAXESS Jobs Scraper — EU Research Positions
• jobs.ac.uk Scraper — UK Academic & Research Jobs
• AcademicPositions Job Scraper — EU Academic Jobs

---

From the maker of Oink — an open-source, AI-powered job-search bot for Telegram that runs on these Actors. Try the free bot, get a managed instance at oinkjobsearch.com, or browse the full catalog of 50+ Actors.