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European Job Search

Search twenty European national job boards in a single run. This actor queries each board in parallel, normalizes every posting to a common schema, and removes duplicates of the same job appearing on multiple boards. One search, one unified feed.

No login. No cookies. No account.

What it does

• Searches 20 European job boards at once: Arbetsförmedlingen (SE), CV.lv (LV), CVbankas (LT), CVKeskus (EE), Duunitori (FI), eJobs (RO), France Travail (FR), Jobs.bg (BG), Jobs.cz (CZ), Kariyer.net (TR), Karriere.at (AT), MojPosao (HR), Net-Empregos (PT), NoFluffJobs (PL), Poslovi Infostud (RS), Profesia (SK), Profession (HU), ProUnity (BE), StepStone (DE), VDAB (BE).
• Normalizes every posting to a common schema (title, company, location, salary, contract type, sector, source).
• Deduplicates the same job posted on several boards by matching title, company, and location.
• Returns one clean, country-tagged feed sorted by country and title.

How to scrape European job board data

1. Enter a role or keywords in the Search Query field, for example software engineer, nurse, or accountant. A common role name gives the broadest match across countries.
2. Optionally restrict to certain countries with the Countries field (for example ["DE", "AT"]). Leave it empty to query every board.
3. Set Max Items Per Board to control how many postings are pulled from each board.
4. Run the actor. Each board is queried in parallel, results are normalized and deduplicated.
5. Open the dataset. Each row is one unique job with the board it came from.

Input

Example input

{
"searchQuery":"data analyst",
"countries":["DE","AT","PL"],
"maxItemsPerBoard":25,
"proxyConfiguration":{"useApifyProxy":true,"apifyProxyGroups":["RESIDENTIAL"]}
}

Output

Each item in the dataset is one unique job posting:

{
"title":"Senior Data Analyst",
"company":"Acme GmbH",
"location":"Berlin",
"country":"DE",
"salary":"€65,000 - €80,000",
"contractType":"Full-time",
"sector":"IT",
"url":"https://...",
"source":"StepStone",
"postedDate":"2026-06-12",
"scrapedAt":"2026-06-15T18:00:00.000Z"
}

A final __SUMMARY__ item lists which boards answered, which failed, the total unique jobs, and how many duplicates were removed.

How deduplication works

Postings are deduplicated by a key built from the normalized title, company, and location. The first occurrence of each unique job is kept. This collapses the same role that appears on multiple boards (common for large employers and aggregator-fed boards) into a single entry, while keeping genuinely distinct postings separate.

Use cases

• Building a cross-border talent-market dataset for a specific role.
• Salary benchmarking across countries for the same job title.
• Feeding a recruitment or labor-market dashboard with normalized listings.
• Monitoring hiring activity for a sector across multiple European markets.

Notes

• This is a meta-actor. It orchestrates our individual national job-board scrapers and runs them in parallel, so a single run can cover many countries at once.
• Salary and posted-date fields depend on each board exposing them; not all boards provide every field.
• Coverage for a given query depends on each underlying board returning results for it. A broad role name matches more boards than a narrow or local-language niche term.
• Use residential proxies for the most reliable results.