# EURES Job Scraper — EU Job Mobility Portal (`nomad-agent/eures-scraper`) Actor Fetch live vacancies from EURES, the European Commission's official job mobility network, through its public REST API. Every record includes title, employer, location, country and apply URL. A clean, reliable source of pan-European job data for boards, bots and labour-market research. - **URL**: https://apify.com/nomad-agent/eures-scraper.md - **Developed by:** [Nomad.Dev](https://apify.com/nomad-agent) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 Job Scraper — EU Job Mobility Portal Fetch pan-European vacancies from EURES, the EU's official job mobility portal, via its public jv-search REST API. ### What EURES jobs data does this scraper extract? Each result is one flat JSON record per job posting: | Field | Meaning | |---|---| | `id` | Stable source-side identifier | | `title` | Job title as posted | | `company` | Hiring company / organisation (`null` if EURES doesn't disclose one) | | `country` | ISO country code(s) the vacancy is located in (e.g. `"DE"`, or `"DE, FR"` for multi-country postings). EURES exposes country + NUTS-region codes, not free-text city names, so this is code data, not a street address | | `location` | Deprecated alias of `country` — identical value, kept for backward compatibility. New integrations should read `country` | | `url` | Direct link to the posting on the EURES portal | | `postedAt` | Posting date (`YYYY-MM-DD`), or `null` if EURES didn't supply a valid creation date | | `snippet` | Short plain-text description excerpt (HTML stripped) | | `source` | Always `"eures"` | Note: EURES does not expose salary data through this API, so no `salary` field is emitted. ### How to scrape EURES jobs with this Actor 1. Click **Try for free** / **Run** — no login to the target site, no cookies, no proxies to configure. 2. Adjust the input (keyword, filters, `maxItems`) or keep the defaults. 3. Run it and export the dataset as JSON, CSV or Excel, or read it over the [API](https://docs.apify.com/api/v2). Run it from your own code: ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("nomad-jobs/eures-scraper").call(run_input={"maxItems": 50}) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["title"], "—", item["company"], item["url"]) ```` Or a single HTTP call that runs the Actor and returns items in one response: ```bash curl -X POST \ "https://api.apify.com/v2/acts/nomad-jobs~eures-scraper/run-sync-get-dataset-items?token=" \ -H "Content-Type: application/json" \ -d '{"maxItems": 50}' ``` ### Input | Field | Type | Default | Notes | |---|---|---|---| | `keywords` | array | *(built-in seeds)* | One or more search terms. The scraper fans one API call per keyword and deduplicates results. Leave empty to use a built-in set of professional role seeds. | | `locationCodes` | array | *(all EU)* | Restrict results to specific EU countries or NUTS regions. Use ISO 3166-1 alpha-2 country codes (e.g. `"de"`, `"es"`, `"fr"`) or NUTS codes. Leave empty to search all EU member states. | | `publishedWithin` | string (`day`|`week`|`month`) | `week` | Only fetch vacancies EURES marks as posted within this window (filtered server-side by the EURES API). `week` matches this Actor's previous fixed behaviour. | | `maxItems` | integer | `50` (max `1000`) | Maximum number of vacancies to return across all keyword queries. Combined with deduplication, this is a hard cap on pushed records. Each result returned is billed — see Pricing below. | | `timeoutSeconds` *(Advanced)* | integer | `20` | How long to wait for a reply from the EURES API before giving up on that request, in seconds. | | `cacheTtlSeconds` *(Advanced)* | integer | `1800` | Reuse a search's results for this many seconds instead of asking EURES again, so quick repeat runs are faster and cheaper. Set `0` to always fetch fresh results. | ### Output example ```json { "id": "8823771", "title": "Mechatronics Technician", "company": "Siemens AG", "country": "DE", "location": "DE", "url": "https://europa.eu/eures/portal/jv-se/jv-details/8823771", "postedAt": "2026-06-30", "snippet": "Siemens is hiring a mechatronics technician...", "source": "eures" } ``` ### Integrations Export the dataset as JSON, CSV or Excel from the Console, pull it over the [Apify API](https://docs.apify.com/api/v2) (e.g. `run-sync-get-dataset-items` for a single blocking call), wire it into Make/Zapier/n8n, or call it as a tool from AI agents via the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp). ### Pricing Pay per event: **$0.05 per Actor start** and **$0.004 per job returned**. 100 jobs ≈ $0.45. No subscription, no rental — you pay only for what you fetch. ### Use cases - Pan-EU job boards and relocation services - Cross-border labour-market research - Job-alert bots for EU-wide searches - Feeding matching engines with EU-wide supply ### FAQ **Is it legal to scrape EURES jobs?** This Actor reads only publicly available job postings — data any visitor can see without logging in. No personal data behind authentication is touched. Review the target site's terms and your local regulations for your specific use case. **Do I need an account on the target site?** No. Postings are fetched from public pages/APIs — no login, cookies or session tokens. **How fresh is the data?** Every run fetches live listings, filtered server-side by EURES to postings from the last day/week/month via the `publishedWithin` input (default: last week). Within that, results are cached for `cacheTtlSeconds` (default 30 min, set 0 to always hit the source live). **How many jobs can I get?** `maxItems` caps the run (default 50, maximum 1000). Results are sorted by keyword-match relevance, not strictly newest-first. **Is scraping EURES allowed?** EURES data comes from its public API. Per the portal's terms it is intended for personal / link-back use — review the EURES terms for your use case. **Something broken or missing?** Open an issue on the Actor's **Issues** tab — it is monitored and reliability fixes ship fast. ### Related Actors - [Research & Academic Jobs Scraper — 10 Sources](https://apify.com/nomad-jobs/researcher-bundle) - [InfoJobs Spain Job Scraper — Empleo España](https://apify.com/nomad-jobs/infojobs-scraper) - [Tecnoempleo Scraper — Spain IT & Tech Jobs](https://apify.com/nomad-jobs/tecnoempleo-scraper) - [LinkedIn Jobs Scraper — No Login, No Cookies](https://apify.com/nomad-jobs/linkedin-scraper) # Actor input Schema ## `keywords` (type: `array`): One or more search terms. The scraper fans one API call per keyword and deduplicates results. Leave empty to use a built-in set of professional role seeds. ## `locationCodes` (type: `array`): Restrict results to specific EU countries or NUTS regions. Use ISO 3166-1 alpha-2 country codes (e.g. "de", "es", "fr") or NUTS codes. Leave empty to search all EU member states. ## `publishedWithin` (type: `string`): Only fetch vacancies EURES marks as posted within this time window (filtered server-side by the EURES API itself). "Last 7 days" matches this Actor's previous fixed behaviour. ## `maxItems` (type: `integer`): Maximum number of vacancies to return across all keyword queries. Combined with deduplication, this is a hard cap on pushed records. Each result returned is billed — see the Actor's Pricing tab — so set this only as high as you need. ## `timeoutSeconds` (type: `integer`): How long to wait for a reply from the EURES API before giving up on that request, in seconds. ## `cacheTtlSeconds` (type: `integer`): Reuse a search's results for this many seconds instead of asking EURES again, so quick repeat runs are faster and cheaper. Set 0 to always fetch fresh results. ## Actor input object example ```json { "keywords": [ "software engineer", "data analyst", "project officer" ], "locationCodes": [ "de", "fr", "es" ], "publishedWithin": "week", "maxItems": 50, "timeoutSeconds": 20, "cacheTtlSeconds": 1800 } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("nomad-agent/eures-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("nomad-agent/eures-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call nomad-agent/eures-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nomad-agent/eures-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EURES Job Scraper — EU Job Mobility Portal", "description": "Fetch live vacancies from EURES, the European Commission's official job mobility network, through its public REST API. Every record includes title, employer, location, country and apply URL. A clean, reliable source of pan-European job data for boards, bots and labour-market research.", "version": "0.1", "x-build-id": "91cdE5NXKizfwUcOE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nomad-agent~eures-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nomad-agent-eures-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nomad-agent~eures-scraper/runs": { "post": { "operationId": "runs-sync-nomad-agent-eures-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nomad-agent~eures-scraper/run-sync": { "post": { "operationId": "run-sync-nomad-agent-eures-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "One or more search terms. The scraper fans one API call per keyword and deduplicates results. Leave empty to use a built-in set of professional role seeds.", "items": { "type": "string" } }, "locationCodes": { "title": "Country / NUTS codes", "type": "array", "description": "Restrict results to specific EU countries or NUTS regions. Use ISO 3166-1 alpha-2 country codes (e.g. \"de\", \"es\", \"fr\") or NUTS codes. Leave empty to search all EU member states.", "items": { "type": "string" } }, "publishedWithin": { "title": "Posted within", "enum": [ "day", "week", "month" ], "type": "string", "description": "Only fetch vacancies EURES marks as posted within this time window (filtered server-side by the EURES API itself). \"Last 7 days\" matches this Actor's previous fixed behaviour.", "default": "week" }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of vacancies to return across all keyword queries. Combined with deduplication, this is a hard cap on pushed records. Each result returned is billed — see the Actor's Pricing tab — so set this only as high as you need.", "default": 50 }, "timeoutSeconds": { "title": "Request timeout (seconds)", "minimum": 5, "maximum": 120, "type": "integer", "description": "How long to wait for a reply from the EURES API before giving up on that request, in seconds.", "default": 20 }, "cacheTtlSeconds": { "title": "Cache TTL (seconds)", "minimum": 0, "type": "integer", "description": "Reuse a search's results for this many seconds instead of asking EURES again, so quick repeat runs are faster and cheaper. Set 0 to always fetch fresh results.", "default": 1800 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```