Eures Job Scraper

What does EURES Job Scraper do?

EURES Job Scraper collects structured job vacancy data from EURES, the European employment portal operated for job mobility across the EU and participating countries. Start with a keyword, a location, or a complete EURES search URL, set a result limit, and receive detailed vacancy records with employer data, locations, descriptions, salary ranges, application deadlines, education and experience requirements, and direct vacancy links.

The dataset is built for recruitment research, hiring intelligence, job aggregation, labor market analysis, employer research, salary benchmarking, and recurring vacancy monitoring across European countries. Results can be exported from Apify as JSON, CSV, Excel, or XML, or delivered to other systems through the Apify API, webhooks, and integrations.

Why use EURES Job Scraper?

• European vacancy coverage - Collect vacancies published through EURES from many national employment services and employers in one consistent dataset.
• Three ways to search - Use a keyword, a location or country, or an EURES search URL that already contains your filters.
• Detailed vacancy context - Capture salary ranges, application deadlines, education levels, required experience, skills, working languages, employment periods, and structured city and postal data.
• Application links - Keep direct application URLs when the vacancy publishes one.
• Readable descriptions - Use description_text for analysis and description_html when the original formatting matters.
• Clean datasets - Duplicate vacancies are skipped, empty values are removed, and records are saved as each page completes.
• Repeatable collection - Use result and page limits for quick tests, scheduled monitoring, or larger research runs.
• Resilient runs - Temporary request failures are retried, detail failures never discard a job record, and the actor keeps working when the portal changes how it serves data.

What data can you extract from EURES?

Each record can include the vacancy title, employer, location, publication context, full description, salary, requirements, and application information. EURES does not publish every field for every vacancy, so some values can be empty.

Core vacancy fields

Field	Type	Description
identifier	String	EURES vacancy identifier.
title	String	Job or vacancy title.
url	String	Direct EURES vacancy detail URL.
company	String	Hiring company or organization.
employer_name	String	Employer name when published separately.
employer_legal_id	String	Employer legal identifier when available.
employer_website	String	Employer website when available.
employer_sector_codes	String	Comma-separated employer sector codes.
employer_size_code	String	Employer organization size code.
employer_ownership_type_code	String	Employer ownership type code.
employer_description	String	Plain-text employer description from the vacancy detail.
publication_date	String	ISO publication date derived from the vacancy creation timestamp.
creation_date	Number	Source creation timestamp in epoch milliseconds.
last_modification_date	Number	Source last update timestamp in epoch milliseconds.
number_of_posts	Number	Number of advertised positions.
eures_flag	Boolean	Whether the vacancy is EURES-flagged.
position_offering_code	String	Contract or offering code, such as direct hire or temporary.
position_schedule_codes	String	Comma-separated working time codes, such as full time.
job_category_codes	String	Comma-separated ESCO or ISCO occupation codes.
job_category_primary	String	Primary occupation code.
available_languages	String	Comma-separated listing language codes.
translation_type	String	Translation type reported by EURES.
translation_language	String	Language code of the alternate translation.
translated_title	String	Alternate translated title when available.
translated_description_text	String	Plain-text alternate translated description.
location_country_codes	String	Comma-separated country codes.
location_region_codes	String	Comma-separated NUTS region codes.
location_cities	String	Comma-separated city names when published.
location_postal_codes	String	Comma-separated postal codes when published.
description_html	String	Vacancy description with safe formatting preserved.
description_text	String	Plain-text vacancy description.
summary	String	Short text summary derived from the description.
source	String	Source label, normally EURES.
source_url	String	Data service URL used for the run.
search_url	String	Portal search URL used for the run.

Salary, requirements, and application fields

Field	Type	Description
salary_min	Number	Minimum salary when published.
salary_max	Number	Maximum salary when published.
salary_reference	Number	Reference salary when published.
salary_currency	String	Salary currency code, such as EUR.
salary_interval	String	Pay interval, such as year, month, or hour.
salary_type	String	Remuneration type, such as base pay.
salary_basis	String	Remuneration basis, such as salaried.
salary_description	String	Plain-text salary description.
salary_benefits	String	Benefit descriptions returned with the remuneration package.
last_application_date	String	ISO application deadline when published.
employment_period_start	String	ISO employment start date when published.
employment_period_end	String	ISO employment end date when published.
employment_period_description	String	Employment period description.
immediate_start	Boolean	Whether the employer marks the role for immediate start.
required_education_level_code	String	Required education or qualification level code.
required_years_of_experience	Number	Required years of experience when published.
required_experiences	String	Experience requirement descriptions.
required_skills	String	Comma-separated ESCO skill identifiers.
required_skill_count	Number	Number of required skills reported.
required_driving_licenses	String	Comma-separated required driving license categories.
working_language_codes	String	Comma-separated working language codes.
position_language_requirements	String	Language codes with required or desired levels, such as en(B1).
application_instructions	String	Plain-text application instructions.
application_url	String	Application link extracted from the vacancy instructions.
travel_willingness	Boolean	Whether travel is required or accepted.
travel_percentage	Number	Travel percentage when published.
detail_language	String	Language of the vacancy detail profile used for enrichment.

How to use EURES Job Scraper

1. Open the Actor on Apify Store.
2. Choose a search mode: enter a keyword, enter a location or country, or paste a complete EURES search URL.
3. Optionally set the sort order, result limit, and page limit.
4. Keep vacancy details enabled for salary, deadlines, and requirement fields.
5. Run the Actor and review the dataset preview.
6. Export the dataset or connect it to your workflow.

Search precedence is simple and predictable:

• A supplied keyword is used first.
• Location and country codes narrow a keyword search. If only location or country is supplied, the search runs without a keyword.
• When no keyword or location is supplied, the start URL is used.
• A keyword or location search ignores the start URL completely, including its query filters.

Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	EURES software engineer search URL	Complete EURES search results URL. Used only when no keyword, location, or country is supplied.
keyword	String	No	-	Search term matched across vacancy fields. Takes precedence over the start URL.
location	String	No	-	EURES location or NUTS codes, such as de, fr, or fi1b. Comma-separated values are supported.
country	String	No	-	ISO country codes, such as de, fr, or fi. Combined with location codes.
sort	String	No	BEST_MATCH	Sort order for keyword and location searches. Accepted values are BEST_MATCH and MOST_RECENT.
results_wanted	Integer	No	20	Maximum number of vacancy records to save. Range: 1 to 1000.
max_pages	Integer	No	10	Maximum number of result pages to request. Range: 1 to 200.
include_details	Boolean	No	true	Fetch each vacancy detail to add salary, deadlines, requirements, and structured locations.
proxyConfiguration	Object	No	{}	Optional Apify Proxy or custom proxy settings for repeated or large runs.

Usage Examples

Keyword search

Collect recent software engineering vacancies across Europe.

{
    "keyword": "software engineer",
    "sort": "MOST_RECENT",
    "results_wanted": 50,
    "max_pages": 5
}

Location-only search

Collect vacancies in Germany without a keyword.

{
    "location": "de",
    "sort": "MOST_RECENT",
    "results_wanted": 100,
    "max_pages": 10
}

Search with a country filter

Combine a keyword with a country code to narrow the results.

{
    "keyword": "nurse",
    "country": "nl",
    "results_wanted": 40,
    "max_pages": 4
}

Complete EURES search URL

Reuse a search that you already configured on the EURES portal.

{
    "startUrl": "https://europa.eu/eures/portal/jv-se/search?page=1&resultsPerPage=50&orderBy=BEST_MATCH&keywordsEverywhere=data%20analyst&lang=en",
    "results_wanted": 100,
    "max_pages": 5
}

Faster runs without detail enrichment

Use core listing data only when you do not need salary or application deadline fields.

{
    "keyword": "developer",
    "results_wanted": 200,
    "max_pages": 10,
    "include_details": false
}

Sample Output

{
    "identifier": "NWQzODU2YzItNmEwMS1jOTM0LWUwNjMtNjg5M2IyMGE0ZjNlIDQy",
    "title": "Software Engineer (H/F)",
    "url": "https://europa.eu/eures/portal/jv-se/jv-details/NWQzODU2YzItNmEwMS1jOTM0LWUwNjMtNjg5M2IyMGE0ZjNlIDQy?lang=en",
    "company": "Example Technologies SAS",
    "employer_name": "Example Technologies SAS",
    "employer_website": "https://example.com",
    "publication_date": "2026-10-16T05:44:59.000Z",
    "creation_date": 1760593499000,
    "last_modification_date": 1761198299000,
    "number_of_posts": 2,
    "eures_flag": false,
    "position_offering_code": "directhire",
    "position_schedule_codes": "fulltime",
    "job_category_codes": "http://data.europa.eu/esco/occupation/f2b15a0e-e65a-438a-affb-29b9d50b77d1",
    "location_country_codes": "FR",
    "location_region_codes": "FRJ13",
    "location_cities": "Marseille",
    "location_postal_codes": "13008",
    "salary_min": 40000,
    "salary_max": 45000,
    "salary_currency": "EUR",
    "salary_interval": "year",
    "salary_type": "basepay",
    "last_application_date": "2026-11-07T00:00:00.000Z",
    "immediate_start": true,
    "required_education_level_code": "6",
    "required_years_of_experience": 3,
    "required_skills": "http://data.europa.eu/esco/skill/6d97bf55-6fb6-4795-8282-3ef915ae0bb8",
    "working_language_codes": "fr,en",
    "position_language_requirements": "fr(C1),en(B2)",
    "application_url": "https://example.com/careers/apply/12345",
    "application_instructions": "Send your application through the employer website.",
    "description_html": "<p>We are looking for a software engineer to join our platform team.</p>",
    "description_text": "We are looking for a software engineer to join our platform team.",
    "summary": "We are looking for a software engineer to join our platform team.",
    "available_languages": "fr,en",
    "translation_type": "FIRST_LANGUAGE",
    "detail_language": "fr",
    "source": "EURES",
    "source_url": "https://europa.eu/eures/api/jv-searchengine/public/jv-search/search",
    "search_url": "https://europa.eu/eures/portal/jv-se/search?lang=en&keywordsEverywhere=software%20engineer"
}

Tips for Best Results

• Start with 20 to 50 results to check the fields for your target country and occupation.
• Use MOST_RECENT when you monitor new vacancies and BEST_MATCH when you search a specific role.
• Keep include_details enabled when you need salary, deadlines, education, experience, or application links.
• Use comma-separated country codes when you want to compare several labor markets in one run.
• Empty optional fields mean EURES did not publish the value for that vacancy. They do not indicate a failed run.
• Use max_pages together with results_wanted to control the size and duration of large runs.
• For recurring monitoring, schedule the Actor with MOST_RECENT and a small result limit.

Integrations

• Google Sheets - Send vacancy datasets to spreadsheets for review and reporting.
• Webhooks - Trigger your own workflow after each run.
• Make or Zapier - Connect vacancy data to no-code automations.
• API - Read datasets programmatically from your applications.
• Data warehouses - Export to CSV, JSON, or Excel for analytics and salary benchmarking.
• Notification workflows - Send new matching vacancies to email, Slack, or a CRM.

Frequently Asked Questions

Can I export EURES job data to CSV or Excel?

Yes. Apify datasets can be downloaded as CSV, Excel, JSON, XML, and other supported formats.

Can I run this Actor on a schedule?

Yes. You can schedule it in Apify Console to run hourly, daily, weekly, or at another interval. Use MOST_RECENT for change monitoring.

Do I need an EURES account or API key?

No. The Actor collects publicly available vacancy data and does not require an EURES login or API key.

Can I search several countries in one run?

Yes. Use comma-separated values in country or location, such as de,fr,nl, or place multiple location codes in a single EURES search URL.

Why are salary or deadline fields missing?

EURES only publishes those values when the employer or national employment service supplies them. The Actor never invents missing salary or contact information.

Why does a location-only search ignore my start URL?

A keyword or location search is treated as the active search mode and the start URL is ignored completely. Clear the keyword and location fields if you want to run the start URL exactly as supplied.

Does the Actor keep job records when a detail request fails?

Yes. Listing data is saved even when optional detail enrichment fails, and enrichment pauses automatically after repeated failures so the run can finish.

Is this Actor suitable for non-technical users?

Yes. It runs from the Apify Console with form-based inputs, and the dataset can be downloaded without writing code.

Is it legal to collect EURES job data?

The Actor is intended for legitimate collection of publicly available vacancy data. You are responsible for complying with applicable laws, EURES terms of use, and privacy rules in your jurisdiction.

Support

For issues, feature requests, or custom Actor work, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is designed for legitimate data collection from publicly available sources. Users are responsible for using the data responsibly and complying with applicable laws and website terms.