# Europe Jobs Scraper — 14 Sources in One (`nomad-agent/europe-jobs-bundle`) Actor All Europe-focused job sources behind one endpoint: LinkedIn Europe, AI Jobs, EURES, EURAXESS, AcademicPositions, WTTJ, JustJoin.it, NoFluffJobs, InfoJobs, Tecnoempleo, jobs.ac.uk and university boards. One merged, deduped dataset. - **URL**: https://apify.com/nomad-agent/europe-jobs-bundle.md - **Developed by:** [Nomad.Dev](https://apify.com/nomad-agent) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 75.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 job 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 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 ## Europe Jobs Scraper - 14 Sources in One One call for Europe-focused job data. This bundle fans out to 14 existing job-source Actors, merges their results, dedupes by URL, and returns one flat dataset of live European job postings. This is an unofficial scraper bundle. It is not affiliated with LinkedIn, EURES, EURAXESS, AcademicPositions, Welcome to the Jungle, JustJoin.it, NoFluffJobs, InfoJobs, Tecnoempleo, jobs.ac.uk, Ikerbasque, the University of Copenhagen, Universitat de Barcelona, or AI Jobs. ### Sources included | Source key | Coverage | |---|---| | `linkedin` | LinkedIn jobs, default location: European Union | | `ai_jobs_net` | AI, ML and data jobs with Europe bias enabled | | `eures` | EU job mobility portal | | `euraxess` | EU research jobs | | `academicpositions` | EU, UK and Switzerland academic jobs | | `wttj` | Welcome to the Jungle jobs across EU countries | | `justjoinit` | Polish tech and IT jobs | | `nofluffjobs` | Poland and CEE IT jobs with salary data | | `infojobs` | Spain job board | | `tecnoempleo` | Spain IT jobs | | `jobs_ac_uk` | UK academic, postdoc and research jobs | | `ikerbasque` | Basque research jobs in Spain | | `math_ku_phd` | University of Copenhagen PhD and research jobs | | `ub_doctoral` | Universitat de Barcelona doctoral vacancies, BYOK AI extraction | Company ATS Actors like Greenhouse, Lever, Ashby and Workable are not included because they require buyer-supplied company lists. Global sources with no reliable Europe filter are also left out so the default run stays aligned with the Europe promise. ### How the bundle works This is a bundle Actor. For each selected source it calls the matching child Actor, maps every child record onto one shared schema, dedupes by URL, and pushes the merged output. Each source fails open independently: if one board errors or times out, the other sources still return. Use `sources` to run a cheaper subset, `keyword` to filter sources that support free-text search, and `location` to override the default `European Union` text for LinkedIn and AI Jobs. ### Incremental mode Turn on `incrementalMode` for scheduled alerts. The bundle remembers listing URLs it has already delivered in a key-value store on your own Apify account. Later runs skip those already-seen postings and do not charge this bundle's per-result event for them. ### Input example ```json { "keyword": "data engineer", "location": "European Union", "maxItemsPerSource": 10, "maxItems": 50 } ```` UB doctoral is the only BYOK source. Without `anthropicApiKey` or `mistralApiKey`, it is skipped and the dataset includes one uncharged warning row explaining why. The other 13 sources run normally. ### Output fields Each normal row uses the same flat bundle schema: ```json { "source": "eures", "id": "123456", "title": "Software Engineer", "company": "Example GmbH", "location": "Berlin, Germany", "url": "https://example.com/job/123456", "postedAt": "2026-07-07", "deadline": "", "snippet": "Short posting excerpt...", "salary": "" } ``` Fields a source does not provide are returned as empty strings rather than guessed. ### Python client ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("nomad-agent/europe-jobs-bundle").call(run_input={ "keyword": "engineer", "maxItems": 50, }) items = client.dataset(run["defaultDatasetId"]).list_items().items print(len(items), items[:1]) ``` ### cURL ```bash curl -X POST \ "https://api.apify.com/v2/acts/nomad-agent~europe-jobs-bundle/run-sync-get-dataset-items?token=" \ -H "Content-Type: application/json" \ -d '{"keyword":"engineer","maxItems":50}' ``` ### Cost note Children are pay-per-event Actors. A bundle run charges this bundle's start/result events on top of each enabled child Actor's own start/result events. Use `sources`, `maxItemsPerSource` and `maxItems` to control spend. # Actor input Schema ## `sources` (type: `array`): Which boards to include. Leave empty to run the full default set. Each enabled source starts its own child actor — $0.05 per source, plus that child's own per-result fee — on top of this bundle's fees, so fewer sources means lower cost. 'UB doctoral' also needs the Anthropic or Mistral API key below (either one); without either it is skipped and a warning row explaining why is added to the results. ## `keyword` (type: `string`): Optional free-text filter forwarded to children that support it (others ignore it). ## `location` (type: `string`): Location text forwarded to children that support location filtering, currently LinkedIn and AI Jobs. The default keeps those global sources Europe-focused; regional sources are already Europe-scoped. ## `incrementalMode` (type: `boolean`): Return only postings this bundle has NOT already delivered on a previous run. The bundle remembers every listing URL it returned (in a private key-value store on your own Apify account) and, on later runs, skips — and does not re-charge its per-result fee for — anything you already received. The first run always returns everything; leave this off for a full snapshot each run, turn it on for a scheduled (e.g. daily/weekly) job that should surface only fresh postings. ## `anthropicApiKey` (type: `string`): Required (together with mistralApiKey, below — either one is enough) only by 'UB doctoral' — it reads listings that sit behind extra rendering and uses an AI provider to extract them. Without either key that source is skipped (you are not charged for it) and a warning row is added to the output explaining why; the other 13 sources run normally either way. Usage is billed separately by Anthropic, not by this Actor. ## `mistralApiKey` (type: `string`): Alternative to anthropicApiKey for 'UB doctoral' — pass this instead if you'd rather bring a Mistral key than an Anthropic one (either key is enough; anthropicApiKey is preferred when both are set). Without either key that source is skipped and a warning row is added explaining why. Usage is billed separately by Mistral, not by this Actor. ## `mistralModel` (type: `string`): Mistral model forwarded to 'UB doctoral' when it runs on mistralApiKey (no anthropicApiKey supplied). Small is the default — matches larger Mistral models on this task at a fraction of the cost. ## `maxItemsPerSource` (type: `integer`): Cap on items fetched from EACH child board before merging. Cost driver: every item a child returns is billed by that child (its own per-result fee) as well as by this bundle once it survives deduping — raise with that in mind. ## `maxItems` (type: `integer`): Hard cap on the merged, deduped output. Default (504) is sources × 'Max items per source' — the natural zero-config ceiling. A default no-key run touches 13 runnable sources: up to ~468 items. With an Anthropic or Mistral key all 14 sources run: up to ~504 items. Set 0 to remove the cap — cost then scales with every source's raw output. ## `cacheTtlSeconds` (type: `integer`): How long to reuse results already fetched from a source instead of fetching again. Set 0 to always fetch fresh data. ## `concurrency` (type: `integer`): How many source boards to fetch at the same time. ## `runTimeoutSecs` (type: `integer`): How long to wait for each source before giving up on it. Sources run in parallel, so this is a per-source ceiling, not a budget shared across them. ## `apifyToken` (type: `string`): Leave empty — injected automatically when this Actor runs on the Apify platform. Only set this when running the code outside the platform, e.g. on your own machine. ## `actorOwner` (type: `string`): Which Apify account's child actors this bundle calls, e.g. 'nomad-agent'. Leave empty to use the published sources this bundle ships with — only set this if you run your own fork of the child actors under a different Apify account. ## Actor input object example ```json { "sources": [ "linkedin", "ai_jobs_net", "eures", "euraxess", "academicpositions", "wttj", "justjoinit", "nofluffjobs", "infojobs", "tecnoempleo", "jobs_ac_uk", "ikerbasque", "math_ku_phd", "ub_doctoral" ], "location": "European Union", "incrementalMode": false, "mistralModel": "mistral-small-latest", "maxItemsPerSource": 36, "maxItems": 504, "cacheTtlSeconds": 1800, "concurrency": 6, "runTimeoutSecs": 300, "actorOwner": "" } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("nomad-agent/europe-jobs-bundle").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/europe-jobs-bundle").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/europe-jobs-bundle --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nomad-agent/europe-jobs-bundle", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Europe Jobs Scraper — 14 Sources in One", "description": "All Europe-focused job sources behind one endpoint: LinkedIn Europe, AI Jobs, EURES, EURAXESS, AcademicPositions, WTTJ, JustJoin.it, NoFluffJobs, InfoJobs, Tecnoempleo, jobs.ac.uk and university boards. One merged, deduped dataset.", "version": "0.1", "x-build-id": "X6dq5DFJ2Dex1GB3A" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nomad-agent~europe-jobs-bundle/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nomad-agent-europe-jobs-bundle", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nomad-agent~europe-jobs-bundle/runs": { "post": { "operationId": "runs-sync-nomad-agent-europe-jobs-bundle", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nomad-agent~europe-jobs-bundle/run-sync": { "post": { "operationId": "run-sync-nomad-agent-europe-jobs-bundle", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "sources": { "title": "Sources", "type": "array", "description": "Which boards to include. Leave empty to run the full default set. Each enabled source starts its own child actor — $0.05 per source, plus that child's own per-result fee — on top of this bundle's fees, so fewer sources means lower cost. 'UB doctoral' also needs the Anthropic or Mistral API key below (either one); without either it is skipped and a warning row explaining why is added to the results.", "items": { "type": "string", "enum": [ "linkedin", "ai_jobs_net", "eures", "euraxess", "academicpositions", "wttj", "justjoinit", "nofluffjobs", "infojobs", "tecnoempleo", "jobs_ac_uk", "ikerbasque", "math_ku_phd", "ub_doctoral" ] }, "default": [ "linkedin", "ai_jobs_net", "eures", "euraxess", "academicpositions", "wttj", "justjoinit", "nofluffjobs", "infojobs", "tecnoempleo", "jobs_ac_uk", "ikerbasque", "math_ku_phd", "ub_doctoral" ] }, "keyword": { "title": "Keyword", "type": "string", "description": "Optional free-text filter forwarded to children that support it (others ignore it)." }, "location": { "title": "Europe location", "type": "string", "description": "Location text forwarded to children that support location filtering, currently LinkedIn and AI Jobs. The default keeps those global sources Europe-focused; regional sources are already Europe-scoped.", "default": "European Union" }, "incrementalMode": { "title": "Only new since last run", "type": "boolean", "description": "Return only postings this bundle has NOT already delivered on a previous run. The bundle remembers every listing URL it returned (in a private key-value store on your own Apify account) and, on later runs, skips — and does not re-charge its per-result fee for — anything you already received. The first run always returns everything; leave this off for a full snapshot each run, turn it on for a scheduled (e.g. daily/weekly) job that should surface only fresh postings.", "default": false }, "anthropicApiKey": { "title": "Anthropic API key (needed for 1 of 14 sources)", "type": "string", "description": "Required (together with mistralApiKey, below — either one is enough) only by 'UB doctoral' — it reads listings that sit behind extra rendering and uses an AI provider to extract them. Without either key that source is skipped (you are not charged for it) and a warning row is added to the output explaining why; the other 13 sources run normally either way. Usage is billed separately by Anthropic, not by this Actor." }, "mistralApiKey": { "title": "Mistral API key (alternative to Anthropic, for 1 of 14 sources)", "type": "string", "description": "Alternative to anthropicApiKey for 'UB doctoral' — pass this instead if you'd rather bring a Mistral key than an Anthropic one (either key is enough; anthropicApiKey is preferred when both are set). Without either key that source is skipped and a warning row is added explaining why. Usage is billed separately by Mistral, not by this Actor." }, "mistralModel": { "title": "Mistral model (only used when mistralApiKey is the key in effect)", "enum": [ "mistral-small-latest", "mistral-medium-latest", "mistral-large-latest" ], "type": "string", "description": "Mistral model forwarded to 'UB doctoral' when it runs on mistralApiKey (no anthropicApiKey supplied). Small is the default — matches larger Mistral models on this task at a fraction of the cost.", "default": "mistral-small-latest" }, "maxItemsPerSource": { "title": "Max items per source", "minimum": 1, "type": "integer", "description": "Cap on items fetched from EACH child board before merging. Cost driver: every item a child returns is billed by that child (its own per-result fee) as well as by this bundle once it survives deduping — raise with that in mind.", "default": 36 }, "maxItems": { "title": "Max items (total)", "minimum": 0, "type": "integer", "description": "Hard cap on the merged, deduped output. Default (504) is sources × 'Max items per source' — the natural zero-config ceiling. A default no-key run touches 13 runnable sources: up to ~468 items. With an Anthropic or Mistral key all 14 sources run: up to ~504 items. Set 0 to remove the cap — cost then scales with every source's raw output.", "default": 504 }, "cacheTtlSeconds": { "title": "Cache time (seconds)", "minimum": 0, "type": "integer", "description": "How long to reuse results already fetched from a source instead of fetching again. Set 0 to always fetch fresh data.", "default": 1800 }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 14, "type": "integer", "description": "How many source boards to fetch at the same time.", "default": 6 }, "runTimeoutSecs": { "title": "Per-source timeout (seconds)", "minimum": 30, "type": "integer", "description": "How long to wait for each source before giving up on it. Sources run in parallel, so this is a per-source ceiling, not a budget shared across them.", "default": 300 }, "apifyToken": { "title": "Apify API token", "type": "string", "description": "Leave empty — injected automatically when this Actor runs on the Apify platform. Only set this when running the code outside the platform, e.g. on your own machine." }, "actorOwner": { "title": "Actor owner", "type": "string", "description": "Which Apify account's child actors this bundle calls, e.g. 'nomad-agent'. Leave empty to use the published sources this bundle ships with — only set this if you run your own fork of the child actors under a different Apify account.", "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 } } } } } } } } } } ```