🇪🇺 EU EURES Jobs Scraper

🚀 Export cross-border European job postings in seconds. Search the EURES European Job Mobility Portal across 32 EU/EEA countries, by keyword, country, contract type, education level, and experience. No login, no manual CSV wrangling.

The EU EURES Jobs Scraper exports vacancies from the European Employment Services (EURES) portal, the official labor-mobility platform of the European Commission. Each record returns 24 fields, including job ID, EURES reference, title, employer name and country, full position location, occupation codes (ESCO), sector, contract type, working time, education and experience requirements, languages, salary range, publication date and deadline, full job description, apply URL, and detail URL.

Coverage spans all 27 EU member states plus EEA partners (Iceland, Liechtenstein, Norway, Switzerland) and the United Kingdom (legacy data), with vacancies sourced from national public employment services and registered employer partners across every economic sector.

🎯 Target Audience	💡 Primary Use Cases
EU recruiters, mobility platforms, labor economists, ATS integrators, relocation services, journalists	Cross-border talent search, EU labor-market dashboards, ESCO occupation analytics, salary benchmarking, mobility research, talent-pipeline enrichment

📋 What the EU EURES Jobs Scraper does

Five filtering workflows in a single run:

• 🔎 Keyword search. Free-text search like software engineer, nurse, chef, applied across every posting.
• 🇪🇺 Country filter. Restrict to one or many EU/EEA countries.
• 📜 Contract type filter. Permanent, temporary, apprenticeship, internship, seasonal.
• ⏰ Working time filter. Full-time or part-time.
• 🎓 Education and experience filters. From "no formal qualification" through doctorate, and from "less than 1 year" through "5+ years".

Each record carries identifiers (job ID, EURES reference), employer info (name, country), full location (country, city, region, address), ESCO occupation codes, sector, contract and working-time classification, education and experience requirements, language requirements (with proficiency level), salary range, publication and deadline dates, full description, and ready-to-use apply and detail URLs.

💡 Why it matters: EURES is the only pan-European job board with a unified taxonomy and cross-border focus. Pulling vacancies yourself means handling pagination, ESCO code resolution, and per-country quirks. This Actor returns a clean per-job row ready for your ATS, dashboard, or labor-market model.

📊 Data fields

Each record includes: address, applicationDeadline, applyUrl, applyUrls, city, contractType, country, description, detailUrl, employerCountry, employerName, euresFlag, experienceYears, jobId, languages, numberOfPosts, occupation, positionLocation, postalCode, publicationDate, reference, region, salary, scrapedAt, sector, source, title, workingTime. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the EU EURES Jobs Scraper page on the Apify Store.
3. 🎯 Set input. Type a keyword, pick countries, optionally add contract, education, or experience filters, set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the European Commission, EURES, or any national public employment service. All trademarks mentioned are the property of their respective owners. Only publicly available European labor-mobility data is collected.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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