Europe Jobs Scraper - 14 Sources in One

One call for Europe-focused job data. This bundle fans out to 14 existing job-source Actors, merges their results, dedupes by URL, and returns one flat dataset of live European job postings.

This is an unofficial scraper bundle. It is not affiliated with LinkedIn, EURES, EURAXESS, AcademicPositions, Welcome to the Jungle, JustJoin.it, NoFluffJobs, InfoJobs, Tecnoempleo, jobs.ac.uk, Ikerbasque, the University of Copenhagen, Universitat de Barcelona, or AI Jobs.

Sources included

Source key	Coverage
linkedin	LinkedIn jobs, default location: European Union
ai_jobs_net	AI, ML and data jobs with Europe bias enabled
eures	EU job mobility portal
euraxess	EU research jobs
academicpositions	EU, UK and Switzerland academic jobs
wttj	Welcome to the Jungle jobs across EU countries
justjoinit	Polish tech and IT jobs
nofluffjobs	Poland and CEE IT jobs with salary data
infojobs	Spain job board
tecnoempleo	Spain IT jobs
jobs_ac_uk	UK academic, postdoc and research jobs
ikerbasque	Basque research jobs in Spain
math_ku_phd	University of Copenhagen PhD and research jobs
ub_doctoral	Universitat de Barcelona doctoral vacancies, BYOK AI extraction

Company ATS Actors like Greenhouse, Lever, Ashby and Workable are not included because they require buyer-supplied company lists. Global sources with no reliable Europe filter are also left out so the default run stays aligned with the Europe promise.

How the bundle works

This is a bundle Actor. For each selected source it calls the matching child Actor, maps every child record onto one shared schema, dedupes by URL, and pushes the merged output. Each source fails open independently: if one board errors or times out, the other sources still return.

Use sources to run a cheaper subset, keyword to filter sources that support free-text search, and location to override the default European Union text for LinkedIn and AI Jobs.

Incremental mode

Turn on incrementalMode for scheduled alerts. The bundle remembers listing URLs it has already delivered in a key-value store on your own Apify account. Later runs skip those already-seen postings and do not charge this bundle's per-result event for them.

Input example

{
  "keyword": "data engineer",
  "location": "European Union",
  "maxItemsPerSource": 10,
  "maxItems": 50
}

UB doctoral is the only BYOK source. Without anthropicApiKey or mistralApiKey, it is skipped and the dataset includes one uncharged warning row explaining why. The other 13 sources run normally.

Output fields

Each normal row uses the same flat bundle schema:

{
  "source": "eures",
  "id": "123456",
  "title": "Software Engineer",
  "company": "Example GmbH",
  "location": "Berlin, Germany",
  "url": "https://example.com/job/123456",
  "postedAt": "2026-07-07",
  "deadline": "",
  "snippet": "Short posting excerpt...",
  "salary": ""
}

Fields a source does not provide are returned as empty strings rather than guessed.

Python client

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("nomad-agent/europe-jobs-bundle").call(run_input={
    "keyword": "engineer",
    "maxItems": 50,
})

items = client.dataset(run["defaultDatasetId"]).list_items().items
print(len(items), items[:1])

cURL

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

Cost note

Children are pay-per-event Actors. A bundle run charges this bundle's start/result events on top of each enabled child Actor's own start/result events. Use sources, maxItemsPerSource and maxItems to control spend.