# EURES Jobs Scraper (`dadhalfdev/eures-jobs-scraper`) Actor

Scrape EU EURES job vacancies via the official public API. Structured filters or a vacancy URL — returns salary, apply contacts, employer, locations, and ESCO codes. No browser or proxy required.

- **URL**: https://apify.com/dadhalfdev/eures-jobs-scraper.md
- **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community)
- **Categories:** Jobs
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## 🇪🇺 EURES Jobs Scraper

Want EU-wide job vacancies from [EURES](https://europa.eu/eures/portal/jv-se/home?lang=en) without clicking through the portal? This scraper makes it easy.

Use **structured filters** (keywords, country, contract, schedule, experience) — better for AI agents — **or** paste a vacancy **`input_url`**. Either way, you get clean CSV/JSON with salaries, apply contacts, employers, cities, and more.

### 💡 Perfect for...

- **Job seekers & recruiters:** Track openings across 30+ European countries.
- **Market research:** Salary bands, contract mix, and hiring volume by country.
- **🤖 AI Agents:** Power bots and OpenClaw workflows with live EURES search.
- **📚 RAG Systems:** Feed titles, descriptions, and apply instructions into retrieval pipelines.
- **🔗 AI Workflows:** Plug into LangChain, AutoGPT, CrewAI, and similar stacks.

### ✨ Why you'll love this scraper

- 🔗 **Input URL or Filters:** Paste a EURES vacancy URL (`input_url`) for one job, or use structured filters for bulk search (better for AI agents). `input_url` wins when it points to a specific vacancy.
- 🎯 **Website-Matched Filters:** Keywords, country, posting age, working time, contract type, experience, and education map to EURES search options.
- 🧾 **Rich job details:** Salary, application instructions, emails, links, contacts, and cities — not just titles and teasers.
- 🧠 **Multi-keyword:** Comma or newline-separated queries, with duplicates removed automatically.
- 🇪🇺 **Built for Europe:** Covers EURES countries from Austria to Switzerland (Greece = `el`).

### 📦 What's inside the data?

For every vacancy, you will get:

- **Core:** `id`, `url`, `reference`, `title`, `description`, `posted_at`, `updated_at`
- **Location:** `countries`, `country_names`, `regions`, `cities`
- **Role:** `position_offering`, `position_schedule`, `occupation_uris`, `experience_years`, `education_level`, `languages`, `eures_flag`
- **Employer:** `employer_name`, `employer_website`, `employer_sector_codes`
- **Compensation:** `salary_min`, `salary_max`, `salary_currency`, `salary_period`, `salary_label`
- **Apply:** `application_deadline`, `application_instructions`, `application_emails`, `application_urls`, `contacts`

### 🚀 Quick start

**Option A — Filters**

1. Set keywords (e.g. `nurse` or `software engineer, data engineer`).
2. Pick a country (e.g. Netherlands) and optional schedule/contract filters.
3. Keep **Fetch full vacancy details** on, set `max_jobs`, and click **Start**.

**Option B — Single vacancy URL**

1. Open a job on [EURES](https://europa.eu/eures/portal/jv-se/home?lang=en).
2. Paste the vacancy URL into `input_url`.
3. Start the run.

Export CSV, Excel, or JSON when done.

***

#### Tech details for developers 🧑‍💻

**Input Example (filters):**

```json
{
  "keywords": "software engineer",
  "country": "nl",
  "position_schedule": "fulltime",
  "publication_period": "LAST_MONTH",
  "fetch_details": true,
  "max_jobs": 100
}
```

**Input Example (vacancy URL):**

```json
{
  "input_url": "https://europa.eu/eures/portal/jv-se/jv-details/NTg5NDAzNjEzIDE0MQ?lang=en"
}
```

**Output Example:**

```json
{
  "id": "NTg5NDAzNjEzIDE0MQ",
  "url": "https://europa.eu/eures/portal/jv-se/jv-details/NTg5NDAzNjEzIDE0MQ?lang=pt",
  "title": "ENFERMEIRO DE CUIDADOS GERAIS",
  "countries": ["PT"],
  "cities": ["BATALHA"],
  "salary_label": "1300.0 EUR /month",
  "position_offering": "directhire",
  "position_schedule": ["fulltime"],
  "application_emails": ["EURESjobsPT@iefp.pt"],
  "posted_at": "2026-02-05",
  "source": "eures"
}
```

# Actor input Schema

## `input_url` (type: `string`):

Optional. Paste a EURES vacancy URL (.../jv-details/{id}) to scrape one job. Portal home URLs fall back to the filters below.

## `keywords` (type: `string`):

Search terms. Separate multiple queries with commas or new lines — each query is searched and results are deduplicated. Leave empty to browse by filters only.

## `keyword_scope` (type: `string`):

Search keywords in the full vacancy or title only.

## `country` (type: `string`):

ISO country code used by EURES (Greece = el). Leave empty for all countries. Ignored when input\_url is a vacancy detail URL.

## `location_codes` (type: `string`):

Optional extra region/location codes from EURES, comma or space separated (e.g. de1, nl32). Combined with Country above.

## `publication_period` (type: `string`):

Only vacancies published in this period.

## `position_schedule` (type: `string`):

Full-time, part-time, or flextime.

## `position_offering` (type: `string`):

Type of employment offering on EURES.

## `experience` (type: `string`):

Required experience band.

## `education` (type: `string`):

Required education level.

## `eures_flag` (type: `string`):

Restrict to vacancies marked as EURES cross-border posts.

## `sort_by` (type: `string`):

MOST\_RECENT or BEST\_MATCH (relevance).

## `request_language` (type: `string`):

Preferred language code for titles/descriptions when available (e.g. en, de, fr, nl).

## `fetch_details` (type: `boolean`):

When enabled (recommended), include salary, application instructions/emails/URLs, contacts, cities, and employer website for each vacancy.

## `max_jobs` (type: `integer`):

How many vacancies to return (1–2000).

## Actor input object example

```json
{
  "keywords": "software engineer",
  "keyword_scope": "EVERYWHERE",
  "country": "",
  "publication_period": "",
  "position_schedule": "",
  "position_offering": "",
  "experience": "",
  "education": "",
  "eures_flag": "",
  "sort_by": "MOST_RECENT",
  "request_language": "en",
  "fetch_details": true,
  "max_jobs": 50
}
```

# Actor output Schema

## `overview` (type: `string`):

Table view of scraped vacancies using the dataset 'overview' view.

## `results` (type: `string`):

All scraped vacancies from the default dataset without view transformation.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": "software engineer",
    "request_language": "en"
};

// Run the Actor and wait for it to finish
const run = await client.actor("dadhalfdev/eures-jobs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": "software engineer",
    "request_language": "en",
}

# Run the Actor and wait for it to finish
run = client.actor("dadhalfdev/eures-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": "software engineer",
  "request_language": "en"
}' |
apify call dadhalfdev/eures-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dadhalfdev/eures-jobs-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/OTYBcGzJGImlMB34H/builds/8BBYgnMBKnkeP8NK2/openapi.json