EURES EU Jobs Scraper

What does EURES EU Jobs Scraper do?

EURES EU Jobs Scraper will help you search and extract data from eures.europa.eu, a European job search web platform.

You can extract job titles, dates, locations, descriptions, requirements and other information from the web page. EURES EU Jobs Scraper supports REST API which gives you access to the extracted dataset, enables you to download it in various formats and use it in other applications.

EURES EU Jobs Scraper

EURES EU Jobs Scraper allows you to search and extract job data from EURopean Employment Services. The scraper supports the REST API which gives you access to the extracted dataset, enables you to download it in various formats, and use it in other applications.

What data can I extract from EURES with a web scraper?

With this web scraping tool, you can extract the following data from EURES:

Why scrape EURopean Employment Services?

🔍 Find potential candidates for specific positions

🎓 Conduct market research or analysis

🤝 Connect with local job seekers in Europe

How to use EURES EU Jobs Scraper?

EURES EU Jobs Scraper is designed for easy and fast start even if you’ve never extracted data from websites before. Here’s how you can extract data from EURES with this web scraping tool:

1. Create a free Apify account using your email.
2. Open EURES EU Jobs Scraper on the Apify platform.
3. Click on the Try for free button.
4. Enter the search query in the URL field (or select it manually in the EURES Page).
5. Click on the Start button and wait for the data to be extracted.
6. Download your data in JSON, XML, CSV, Excel, or HTML.

Input

The actor accepts the following input parameters:

• startUrls (array) - List of URLs to start scraping from.
• query (string, optional) - The keyword(s) for the job you're looking for.
• maxItems (integer, optional) - Maximum number of items to scrape.
• proxyConfiguration (object, optional) - Proxy configuration settings.

Example:

1{
2  "startUrls": [
3    {
4      "url": "https://europa.eu/eures/portal/jv-se/search?page=1&resultsPerPage=10&orderBy=BEST_MATCH&lang=en"
5    }
6  ],
7  "query": "PersonalExpressen AB",
8  "maxItems": 15,
9  "proxyConfiguration": {
10    "useApifyProxy": true
11  }
12}

Output

The scraped data will be saved as a dataset. Each item will represent a job offer that matches your search query. You can choose in what format to download your data: JSON, JSONL, HTML table, CSV, Excel spreadsheet, or NDJSON.

In the output below you'll see a preview of the data for each item in the dataset. Each item in the dataset will look similar to the format below:

1{
2  "url": "https://europa.eu/eures/portal/jv-se/jv-details/NDQxMDhjZGMtYTc3Ni00NTUxLWJmZWMtYmQ1NDBiNDk5NTJlIDI2MQ",
3  "applyUrl": "https://arbeidsplassen.nav.no/stillinger/stilling/44108cdc-a776-4551-bfec-bd540b49952e",
4  "id": "44108cdc-a776-4551-bfec-bd540b49952e",
5  "datePosted": "15/08/2024",
6  "lastApplicationDate": "25/09/2024",
7  "startDate": "25/9/2024",
8  "title": "Lederstilling for anerkjent byrå i Fredrikstad",
9  "companyName": "STANDOUT AS",
10  "occupation": "Accountants",
11  "location": "Dikeveien1661 ROLVSØY, Viken - Norway",
12  "contractType": "Direct hire",
13  "positionSchedule": "Full-time",
14  "employerSector": "Activities of employment placement agencies",
15  "description": "Bor det en leder i deg? ..."
16}

Notes and Limitations

• The actor relies on the structure of the EURES website. If the website structure changes, the actor may need to be updated.
• Ensure you comply with the terms of service of eures.europa.eu when using this actor.
• For large-scale scraping, use Apify's proxy services to avoid IP blocking.

Want to scrape other job boards in Europe?

You can use the other dedicated Job Scrapers if you want to scrape specific job posting websites. Each of them is built particularly for the corresponding website, ensuring fast and efficient data extraction. Check them out:

👀 p.s.

Got feedback or need an extension?

Lexis Solutions is a certified Apify Partner. We can help you with custom solutions or data extraction projects.

Contact us on our website, Email, or LinkedIn.