# EURAXESS Jobs Scraper — EU Research Positions (`nomad-agent/euraxess-scraper`) Actor Extract research vacancies from EURAXESS, the European Commission's researcher mobility portal: PhD positions, postdocs, research fellowships and faculty roles across Europe. Each record carries title, institution, country, field and apply URL. No login required. - **URL**: https://apify.com/nomad-agent/euraxess-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 ## EURAXESS Jobs Scraper — EU Research Positions Fetch open research positions — PhD, postdoc, fellowship and faculty — from EURAXESS, the EU's official researcher mobility portal. ### What EURAXESS jobs data does this scraper extract? Each result is one flat JSON record per job posting: | Field | Meaning | |---|---| | `id` | Stable source-side identifier (EURAXESS node id) | | `title` | Job title as posted | | `company` | Hiring institution / organisation | | `location` | City + country where stated, else country only | | `country` | Posting country (EURAXESS highlight label) | | `url` | Direct link to the posting | | `postedAt` | Posting date (`YYYY-MM-DD`), `null` if not stated | | `field` | Research discipline tag(s), e.g. `"Medical sciences » Health sciences"`; multiple tags joined with `; `, `null` if untagged | | `deadline` | Application deadline as an ISO 8601 timestamp, `null` if the posting has none | | `snippet` | Short description excerpt | ### How to scrape EURAXESS 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-agent/euraxess-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-agent~euraxess-scraper/run-sync-get-dataset-items?token=" \ -H "Content-Type: application/json" \ -d '{"maxItems": 50}' ``` ### Input | Field | Type | Default | Notes | |---|---|---|---| | `keyword` | string | `""` | Free-text search across job titles and descriptions (e.g. "machine learning", "postdoc biology"). Leave empty to return all current job offers. | | `countryFilter` | string | `""` | Optional case-insensitive substring match on the posting country, applied client-side. E.g. "germany", "france", "spain". | | `postedSince` | integer | `0` | Only return job offers posted within this many days (client-side, applied after fetch). `0` = no freshness filter. | | `maxItems` | integer | `100` | Maximum number of job offers to return. Each returned job is a billed result. `0` = no limit (the source exposes roughly 500 current offers per query). | | `requestTimeoutSecs` | integer | `30` | *(Advanced)* How many seconds to wait for the EURAXESS website to answer before giving up on that page. | | `cacheTtlSeconds` | integer | `1800` | *(Advanced)* Reuse a page already fetched from EURAXESS for this many seconds instead of downloading it again on a quick re-run. `0` disables caching. | ### Output example ```json { "id": "449831", "title": "University Professor", "company": "State University of Applied Sciences in Przemyśl", "location": "podkarpackie, Poland", "country": "Poland", "url": "https://euraxess.ec.europa.eu/jobs/449831", "postedAt": "2026-07-02", "field": "Medical sciences » Health sciences", "deadline": "2026-08-18T21:05:49+00:00", "snippet": "State University of Applied Sciences in Przemyśl announces a competition for the position of University Professor at the Institute of Physiotherapy..." } ``` ### Integrations Export the dataset as JSON, CSV or Excel from the Console, pull it over the [Apify API](https://docs.apify.com/api/v2) (`run-sync-get-dataset-items` for a single-call run), wire it into Make/Zapier/n8n, or call it 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 - Academic job boards and PhD-alert bots - University career services - Research-mobility analytics across EU countries - Grant and fellowship deadline tracking ### FAQ **Is it legal to scrape EURAXESS 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. 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 (set 0 where supported for no cap). Most sources paginate from newest to oldest. **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-agent/researcher-bundle) - [jobs.ac.uk Scraper — UK Academic & Research Jobs](https://apify.com/nomad-agent/jobs-ac-uk-scraper) - [Ikerbasque Jobs Scraper — Basque Research Roles](https://apify.com/nomad-agent/ikerbasque-scraper) - [University of Copenhagen PhD Jobs Scraper (KU)](https://apify.com/nomad-agent/math-ku-phd-scraper) # Actor input Schema ## `keyword` (type: `string`): Free-text search across job titles and descriptions (e.g. "machine learning", "postdoc biology"). Leave empty to return all current job offers. ## `countryFilter` (type: `string`): Optional case-insensitive substring match on the posting country, applied client-side. E.g. "germany", "france", "spain". ## `postedSince` (type: `integer`): Only return job offers posted within this many days (applied client-side after fetch — EURAXESS listings are already sorted newest first). Leave at 0 to return all current offers regardless of posting date. ## `maxItems` (type: `integer`): Maximum number of job offers to return. Each returned job is a billed result — see the Pricing tab. Set to 0 for no limit (the source exposes roughly 500 current offers per query). ## `requestTimeoutSecs` (type: `integer`): How many seconds to wait for the EURAXESS website to answer before giving up on that page and moving on. ## `cacheTtlSeconds` (type: `integer`): Reuse a page already fetched from EURAXESS for this many seconds instead of downloading it again on a quick re-run. Set to 0 to always fetch fresh. ## Actor input object example ```json { "keyword": "data science", "countryFilter": "germany", "postedSince": 0, "maxItems": 100, "requestTimeoutSecs": 30, "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/euraxess-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/euraxess-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/euraxess-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nomad-agent/euraxess-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EURAXESS Jobs Scraper — EU Research Positions", "description": "Extract research vacancies from EURAXESS, the European Commission's researcher mobility portal: PhD positions, postdocs, research fellowships and faculty roles across Europe. Each record carries title, institution, country, field and apply URL. No login required.", "version": "0.1", "x-build-id": "L73v9qf4J3tedsVrf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nomad-agent~euraxess-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nomad-agent-euraxess-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nomad-agent~euraxess-scraper/runs": { "post": { "operationId": "runs-sync-nomad-agent-euraxess-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nomad-agent~euraxess-scraper/run-sync": { "post": { "operationId": "run-sync-nomad-agent-euraxess-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keyword": { "title": "Keyword", "type": "string", "description": "Free-text search across job titles and descriptions (e.g. \"machine learning\", \"postdoc biology\"). Leave empty to return all current job offers." }, "countryFilter": { "title": "Country filter", "type": "string", "description": "Optional case-insensitive substring match on the posting country, applied client-side. E.g. \"germany\", \"france\", \"spain\"." }, "postedSince": { "title": "Posted within (days)", "minimum": 0, "maximum": 365, "type": "integer", "description": "Only return job offers posted within this many days (applied client-side after fetch — EURAXESS listings are already sorted newest first). Leave at 0 to return all current offers regardless of posting date.", "default": 0 }, "maxItems": { "title": "Max items", "minimum": 0, "maximum": 500, "type": "integer", "description": "Maximum number of job offers to return. Each returned job is a billed result — see the Pricing tab. Set to 0 for no limit (the source exposes roughly 500 current offers per query).", "default": 100 }, "requestTimeoutSecs": { "title": "Request timeout (seconds)", "minimum": 5, "maximum": 120, "type": "integer", "description": "How many seconds to wait for the EURAXESS website to answer before giving up on that page and moving on.", "default": 30 }, "cacheTtlSeconds": { "title": "Cache TTL (seconds)", "minimum": 0, "type": "integer", "description": "Reuse a page already fetched from EURAXESS for this many seconds instead of downloading it again on a quick re-run. Set to 0 to always fetch fresh.", "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 } } } } } } } } } } ```