# Eures Jobs Search Scraper (`jobsapi/eures-jobs-search-scraper`) Actor Scrape job listings from EURES, the European Employment Services portal. Extract job titles, companies, locations, contract types, and salary information across EU member states for cross-border recruitment. - **URL**: https://apify.com/jobsapi/eures-jobs-search-scraper.md - **Developed by:** [Jobs API](https://apify.com/jobsapi) (community) - **Categories:** Jobs, Automation, Developer tools - **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 Jobs Search Scraper Extract job listings from EURES - the European Job Mobility Portal covering 31 countries. Collect job titles, companies, locations, and descriptions from across the EU. ### Features - **Keyword search** — find jobs by keyword, search term, or role - **Location filtering** — narrow results to specific cities, regions, or countries ### Use Cases - **Cross-border European labor market analysis** — aggregate job postings across EU member states to identify hiring patterns and demand shifts - **EU-wide recruitment sourcing** — source candidates from a single portal covering 31 European countries - **Regional skills gap research** — analyze which skills are in demand across different European regions - **International talent mobility tracking** — monitor cross-border recruitment flows and labor migration patterns within the EU ### Sample Input ```json { "query": "software engineer", "keywords": "software engineer", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Sample Output ```json { "jobId": "EURES-12345678", "title": "Senior Software Engineer", "company": "Siemens AG", "location": "Berlin, Germany", "region": "Berlin", "country": "Germany", "countryCode": "DE", "contractType": "Permanent", "workingHours": "Full time", "postedDate": "2025-12-01", "jobUrl": "https://europa.eu/eures/portal/jv-se/job-details/12345678", "description": "We are looking for a Senior Software Engineer to join our team in Berlin...", "salary": "€75,000 – €95,000", "scrapedAt": "2025-12-15T10:30:00.000Z" } ``` ### Input | Field | Type | Default | Required | Description | |-------|------|---------|----------|-------------| | `query` | string | — | | Job title, skill, or keyword to search for. | | `keywords` | string | `software engineer` | | Job title or keywords to search for (e.g. 'software engineer', 'nurse', 'truck driver'). | | `maxItems` | integer | `50` | | Maximum number of job listings to extract. | | `proxyConfiguration` | object | `{"useApifyProxy":true,"apifyProxyGroups":["RESIDENTIAL"]}` | | Proxy settings for requests. Residential proxy recommended. | | `experienceLevel` | string | — | | Filter by minimum experience level: Entry Level, Mid Level, Senior Level, Executive, Director. | | `salaryMin` | integer | — | | Minimum salary filter (in local currency). Only show jobs paying at least this amount. | | `salaryMax` | integer | — | | Maximum salary filter (in local currency). Only show jobs paying at most this amount. | | `remoteFilter` | string | — | | Filter by work location type: Remote, Hybrid, On-site. | | `educationLevel` | string | — | | Filter by minimum education level: High School, Associate Degree, Bachelor's, Master's, Doctorate. | ### Output | Field | Description | |-------|-------------| | `jobId` | Unique EURES job identifier | | `title` | Job title | | `company` | Company name | | `companyWebsite` | Company website URL | | `location` | Job location | | `region` | Region of the job | | `country` | Country of the job | | `countryCode` | ISO country code | | `contractType` | Contract type (e.g. Permanent, Temporary) | | `workingHours` | Working hours type (e.g. Full time, Part time) | | `numberOfPositions` | Number of open positions | | `occupationCode` | Occupation code | | `occupationUris` | Occupation URIs | | `availableLanguages` | Languages the listing is available in | | `euresFlag` | Whether the EURES flag is set | | `description` | Full job description | | `postedDate` | Date the job was posted | | `lastModifiedDate` | Date the job was last modified | | `jobUrl` | Direct URL to the job listing | | `scrapedAt` | ISO timestamp when the job was scraped | | `url` | Job URL | | `salary` | Salary information | | `datePosted` | Date the job was posted | | `jobType` | Type of job | ### Notes - **Proxy**: Residential proxy is highly recommended - **Rate limits**: Keep `maxJobs` reasonable per run to avoid IP bans - **Scheduling**: Use Apify Scheduler to run this actor on a recurring basis # Actor input Schema ## `query` (type: `string`): Job title, skill, or keyword to search for. ## `keywords` (type: `string`): Job title or keywords to search for (e.g. 'software engineer', 'nurse', 'truck driver') ## `maxItems` (type: `integer`): Maximum number of job listings to extract ## `proxyConfiguration` (type: `object`): Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking. ## `experienceLevel` (type: `string`): Filter by minimum experience level required for the position. ## `salaryMin` (type: `integer`): Minimum salary filter (in local currency). Only show jobs paying at least this amount. ## `salaryMax` (type: `integer`): Maximum salary filter (in local currency). Only show jobs paying at most this amount. ## `remoteFilter` (type: `string`): Filter by work location type. ## `educationLevel` (type: `string`): Filter by minimum education level required. ## Actor input object example ```json { "query": "software engineer", "keywords": "software engineer", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" }, "experienceLevel": "", "remoteFilter": "", "educationLevel": "" } ``` # Actor output Schema ## `dataset` (type: `string`): No description # 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 = { "keywords": "software engineer", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }; // Run the Actor and wait for it to finish const run = await client.actor("jobsapi/eures-jobs-search-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 = { "keywords": "software engineer", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN", }, } # Run the Actor and wait for it to finish run = client.actor("jobsapi/eures-jobs-search-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 '{ "keywords": "software engineer", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }' | apify call jobsapi/eures-jobs-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jobsapi/eures-jobs-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Eures Jobs Search Scraper", "description": "Scrape job listings from EURES, the European Employment Services portal. Extract job titles, companies, locations, contract types, and salary information across EU member states for cross-border recruitment.", "version": "0.0", "x-build-id": "fBgI9Xb6KKHlbDfgH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jobsapi~eures-jobs-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jobsapi-eures-jobs-search-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/jobsapi~eures-jobs-search-scraper/runs": { "post": { "operationId": "runs-sync-jobsapi-eures-jobs-search-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/jobsapi~eures-jobs-search-scraper/run-sync": { "post": { "operationId": "run-sync-jobsapi-eures-jobs-search-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": { "query": { "title": "Search Query", "type": "string", "description": "Job title, skill, or keyword to search for." }, "keywords": { "title": "Job Keywords", "type": "string", "description": "Job title or keywords to search for (e.g. 'software engineer', 'nurse', 'truck driver')" }, "maxItems": { "title": "Maximum Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of job listings to extract", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }, "experienceLevel": { "title": "Experience Level", "enum": [ "", "entry", "mid", "senior", "executive", "director" ], "type": "string", "description": "Filter by minimum experience level required for the position.", "default": "" }, "salaryMin": { "title": "Minimum Salary", "minimum": 0, "type": "integer", "description": "Minimum salary filter (in local currency). Only show jobs paying at least this amount." }, "salaryMax": { "title": "Maximum Salary", "minimum": 0, "type": "integer", "description": "Maximum salary filter (in local currency). Only show jobs paying at most this amount." }, "remoteFilter": { "title": "Remote / On-site / Hybrid", "enum": [ "", "remote", "hybrid", "onsite" ], "type": "string", "description": "Filter by work location type.", "default": "" }, "educationLevel": { "title": "Education Level", "enum": [ "", "high_school", "associate", "bachelor", "master", "doctorate" ], "type": "string", "description": "Filter by minimum education level required.", "default": "" } } }, "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 } } } } } } } } } } ```