Eures Job Scraper

Extract EURES job vacancy data fast and reliably for recruitment research, labor market analysis, and lead generation. Collect structured job records with titles, companies, locations, posting dates, and description content in a format ready for dashboards, spreadsheets, and automation. Use it to gather fresh European job listings at scale with minimal setup.

Features

• Targeted vacancy collection — Collect job listings directly from EURES search result pages.
• Structured job dataset — Export normalized fields for titles, employers, locations, and dates.
• Rich description capture — Get both formatted and plain-text description variants for each vacancy.
• Duplicate-safe output — Keep datasets clean with consistent record deduplication.
• Run-size control — Limit collection volume with configurable result and page limits.

Use Cases

Recruitment Research

Track open roles by job title, employer, and country to understand current hiring activity. Build reusable datasets for sourcing strategy and staffing operations.

Labor Market Intelligence

Monitor hiring demand across regions and categories using publication and location fields. Compare trends over time to identify high-growth roles and markets.

Employer Lead Generation

Find organizations that are actively hiring and prioritize outreach based on role type and geography. Turn job signals into prospecting lists for sales and partnerships.

Reporting and Content Workflows

Create weekly hiring reports, internal briefings, and market updates from fresh vacancy records. Feed clean data into BI tools and newsletter workflows.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	EURES search URL	EURES search URL where collection starts.
results_wanted	Integer	No	20	Maximum number of vacancies to save.
max_pages	Integer	No	10	Maximum number of listing pages to process.
proxyConfiguration	Object	No	—	Proxy settings for more stable runs.

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Output Data

Each item in the dataset contains:

Field	Type	Description
identifier	String	EURES vacancy identifier.
title	String	Vacancy title.
company	String	Hiring organization name.
url	String	Vacancy detail URL.
publication_date	String	Publication date shown for the vacancy.
creation_date	String	Source creation timestamp.
last_modification_date	String	Last update timestamp from source data.
number_of_posts	Number	Number of open positions.
location_country	String	Country displayed in the listing.
location_region	String	Region or locality displayed in the listing.
location_country_codes	String	Flattened country code list.
location_region_codes	String	Flattened region code list.
job_category_codes	String	Comma-joined job category codes.
job_category_primary	String	Primary job category code.
position_schedule_codes	String	Comma-joined schedule codes.
position_offering_code	String	Offering type code.
available_languages	String	Comma-joined available language codes.
translation_type	String	Translation type value.
translation_language	String	Translation language key.
translated_title	String	Translated title value.
translated_description_text	String	Plain-text translated description.
description_html	String	Formatted vacancy description markup.
description_text	String	Plain-text vacancy description.
summary	String	Vacancy summary text.
eures_flag	Boolean	EURES flag value from source data.
employer_name	String	Employer name from nested source fields.
source	String	Source label.
source_url	String	Source request URL used for extraction.

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Usage Examples

Basic Extraction

Collect a small batch to validate your filters and output shape:

{
  "startUrl": "https://europa.eu/eures/portal/jv-se/search?page=1&resultsPerPage=10&orderBy=BEST_MATCH&keywordsEverywhere=admin&lang=en",
  "results_wanted": 20,
  "max_pages": 5
}

Market Monitoring Run

Collect a broader dataset for trend tracking and weekly reporting:

{
  "startUrl": "https://europa.eu/eures/portal/jv-se/search?page=1&resultsPerPage=10&orderBy=BEST_MATCH&keywordsEverywhere=engineer&lang=en",
  "results_wanted": 200,
  "max_pages": 20
}

Reliable Production Run

Enable proxy support for repeated or longer collections:

{
  "startUrl": "https://europa.eu/eures/portal/jv-se/search?page=1&resultsPerPage=10&orderBy=BEST_MATCH&keywordsEverywhere=healthcare&lang=en",
  "results_wanted": 100,
  "max_pages": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Sample Output

{
  "identifier": "NmU1MjRhN2YtOWUzNy00NjY0LWE1NDAtMTdkM2VmOTA2YzMzIDgx",
  "title": "Site Admin",
  "company": "Enersense Oyj",
  "url": "https://europa.eu/eures/portal/jv-se/jv-details/NmU1MjRhN2YtOWUzNy00NjY0LWE1NDAtMTdkM2VmOTA2YzMzIDgx?lang=en",
  "publication_date": "2026-03-21",
  "creation_date": "2026-03-19T08:02:45.000Z",
  "last_modification_date": "2026-03-21T10:14:09.000Z",
  "number_of_posts": 1,
  "location_country": "Finland",
  "location_region": "Helsinki",
  "job_category_codes": "3112",
  "position_schedule_codes": "FULL_TIME",
  "description_text": "Enersense Engineering is currently seeking a Site Admin for a data centre project in Helsinki.",
  "summary": "Site Admin role supporting a data centre project in Helsinki.",
  "source": "EURES",
  "source_url": "https://europa.eu/eures/api/jv-searchengine/search"
}

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Tips for Best Results

Start with Small Batches

• Use results_wanted between 20 and 50 for first-run validation.
• Confirm field coverage before scaling to larger runs.

Use Focused Search URLs

• Start from a working EURES search page with relevant keywords.
• Narrow geography or job intent to improve data relevance.

Balance Coverage and Speed

• Increase max_pages only when you need broader market coverage.
• Keep page limits bounded for faster, more predictable runs.

Choose the Right Description Field

• Use description_text for NLP, analytics, and keyword clustering.
• Use description_html when formatted content is required downstream.

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Proxy Configuration

For reliable collection at scale, residential proxies are recommended:

{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Integrations

Connect your dataset with:

• Google Sheets — Build live hiring trackers and shareable reports.
• Airtable — Create searchable vacancy databases for teams.
• Make — Trigger automations after each successful run.
• Zapier — Route new vacancy data into CRMs and alerts.
• Webhooks — Send records to internal APIs and custom workflows.

Export Formats

• JSON — Best for APIs, scripts, and programmatic pipelines.
• CSV — Best for spreadsheet analysis and quick filtering.
• Excel — Best for business reporting and stakeholder sharing.
• XML — Best for legacy systems and structured integrations.

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Frequently Asked Questions

How many vacancies can I collect?

You can collect up to your configured results_wanted limit, constrained by available listings and max_pages.

Why are some fields empty in certain records?

Vacancy details vary by employer and country, so some fields may not be available for every listing.

What is the difference between description_html and description_text?

description_html keeps formatting, while description_text is the plain-text version for analysis.

Can I use my own EURES search page URL?

Yes. Set your target EURES search page in startUrl.

Should I always enable proxies?

For short test runs, proxy may not be necessary. For larger or repeated runs, proxy improves reliability.

Is this suitable for recurring monitoring?

Yes. Run it on a schedule to maintain a fresh dataset for ongoing hiring intelligence.

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Support

For issues or feature requests, use the Issues tab in the actor repository or contact support through Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

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Legal Notice

This actor is intended for legitimate data collection and market research workflows. You are responsible for complying with website terms, data usage policies, and applicable local laws in your jurisdiction.