
EURES Job Scraper πͺπΊππΌ - Cheap
Pricing
$18.99/month + usage

EURES Job Scraper πͺπΊππΌ - Cheap
π Looking for a job scraper to extract offers in your region or across Europe? With EURES Job Scraper πͺπΊ, get listings by keyword, location & more πΌ including job title, company, salary, date, and description. Fast, easy, and ideal for job seekers or recruiters! π
5.0 (1)
Pricing
$18.99/month + usage
2
Total users
1
Monthly users
1
Runs succeeded
>99%
Last modified
13 hours ago
πͺπΊ EURES Job Scraper ππΌ
The EURES Job Scraper allows you to search and extract job listings from the official European Job Mobility Portal β EURES. Whether you're looking for tech jobs in Germany or remote roles in the EU, this tool makes it simple to collect structured job data from across Europe.
Perfect for recruiters, analysts, and job seekers who want to automate job data collection across the EU job market.
π What You Can Extract
With this scraper, you can extract detailed information about job listings on EURES, including:
π Fields Extracted by EURES Job Scraper
Field | Description |
---|---|
β Job ID | Unique identifier of the job listing |
π Job Title | Title of the job offer |
π Job URL | Direct link to the job posting on EURES |
π Publication Date | Date when the job was published |
π Job Location | City/region and country where the job is located |
π’ Employer Name | Name of the hiring company or organization |
π Employer Website | URL to the company's official website |
π Full Job Description | Detailed description of job responsibilities and requirements |
π Employment Type & Schedule | Type of contract (e.g., full-time, part-time, direct hire) |
π Contract Start Date | When the job contract is expected to begin |
π Application Link | Direct link to apply for the job |
π Contact Information | Name, phone, or email of the contact person (if available) |
πΆ Salary | Salary range (if provided) |
π Language Requirements | Languages required for the role |
ποΈ Job Categories (ESCO) | ESCO classification of the job position |
π’ How Many Jobs Can I Scrape?
There's no hard limit enforced by the scraper. You define how many listings you want via the maxitems parameter.
The tool will scrape up to that number if available on EURES.
Key Features β¨
-
π Pan-European Job Search
-
π§© Structured JSON Output
-
π οΈ Customizable Filters (Keyword, Sort, Limit)
-
π₯ Export to Excel, JSON, CSV, and more
-
β‘ Fast and Reliable Scraping
-
π·οΈ Extract Employer Info, Contracts, and More
πΈ Pricing
This scraper operates on a monthly subscription basis, priced at $18.99/month.
How to Use π²
Using the Eures Jobs Search Scraper is straightforward:Sign up for an account on Apify π.Access the Eures Jobs Search Scraper on the Apify platform π.Enter your search parameters (e.g., keyword: "Software" etc.).Set the maximum number of results (e.g., 60).Start the scraper and let it gather the job listings for you.Once scraping is done, download the data in your preferred format: JSON, CSV, XML, Excel, or HTML.
Example Input π² π
Hereβs an example of how to structure your input:
{"keyword": "Software","sort_by": "BEST_MATCH","maxitems": 100}
Field | Type | Description |
---|---|---|
keyword | string | Keyword or job field to search for (e.g., "Software", "Marketing", "AI") |
sort_by | string | Choose "BEST_MATCH" or "MOST_RECENT" |
maxitems | integer | Maximum number of jobs to scrape |
Example Output from EURES Jobs Scraper πΎ
Once the extraction is complete, the data will be saved in a dataset. You can download this data in multiple formats (JSON, CSV, XML, RSS, HTML Table).
Hereβs an example of the output:
[{"id": "MTg5MzUtMTcwNjUyNi1TIDE","title": "Data Scientist (m/w/d) (Data-Warehouse-Analyst/in)","url_to_job": "https://europa.eu/eures/portal/jv-se/jv-details/MTg5MzUtMTcwNjUyNi1TIDE","activatedAt": "2025-06-10T08:45:00Z","location": "Germany (DE212)","employmentType": "Full-time","company": "CANCOM SE","companyWebsite": "www.cancom.com","description": "...","contact": "Sascha Gerold-Willert, +49 89 54054-5454"}]
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Can I Use This EURES Jobs Scraper API in Python? π
Yes, you can use the Apify API with Python.
To access the EURES Jobs Scraper via Python, you can use the apify-client Python package. You can find more details about how to use the client in our Python Client Documentation.
π« Support
π Leave us a βββββ if you are satisfied with the product! π For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper πͺοΈπ©οΈ Happy scraping! π
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