# Arbeitsagentur Jobs Scraper β€” Bundesagentur fΓΌr Arbeit (`ambitious_silo/arbeitsagentur-jobs-scraper`) Actor Scrape job listings from arbeitsagentur.de (German Federal Employment Agency). Search by keyword, location, and employment type. Returns structured data with title, company, salary, location, and full details. - **URL**: https://apify.com/ambitious\_silo/arbeitsagentur-jobs-scraper.md - **Developed by:** [Ambition Silo](https://apify.com/ambitious_silo) (community) - **Categories:** Jobs - **Stats:** 2 total users, 0 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 ### Arbeitsagentur Jobs Scraper Scrape job listings from **arbeitsagentur.de** β€” the German Federal Employment Agency's job board with over 1 million active listings. #### Features - Search by keyword, location, and radius - Filter by employment type (full-time, part-time, minijob, working student) - Filter by job type (employment or apprenticeship) - Fetch full job details (description, requirements, contact info) - Clean structured output with coordinates #### Output fields Each result contains: | Field | Description | |-------|-------------| | `refnr` | Official reference number (e.g. `20390-938015539-S`) | | `title` | Job title | | `company` | Employer name | | `mainProfession` | Classified profession | | `salary` | Salary information (when provided) | | `contractDuration` | Permanent or temporary | | `location` | Full address with lat/long | | `publishDate` | First published date | | `detailUrl` | Direct link to BA job detail page | | `fullDetails` | Full description + contact (when `fetchFullDetails` is enabled) | #### Pricing **Free tier:** First 10 job listings per run are free. After that: $0.003 per job result. Example costs: - 10 jobs (free tier): **$0.00** - 50 jobs: ~$0.12 - 100 jobs: ~$0.27 - 500 jobs: ~$1.47 # Actor input Schema ## `searchQueries` (type: `array`): Job keywords to search for (e.g. 'Python Developer', 'Krankenschwester', 'LKW Fahrer'). Leave empty to search all jobs. ## `location` (type: `string`): City, postal code, or region in Germany. Leave empty for nationwide. ## `radius` (type: `integer`): Search radius around the location in kilometers. ## `employmentType` (type: `string`): Filter by type of employment. ## `jobType` (type: `string`): Filter by the type of offering. ## `publishedSince` (type: `integer`): Only show jobs published within the last N days. ## `maxResults` (type: `integer`): Maximum number of jobs to scrape per search query. ## `fetchFullDetails` (type: `boolean`): If true, visits each job detail page to get the full description, requirements, and contact information. Slower but more complete. ## Actor input object example ```json { "searchQueries": [ "Softwareentwickler" ], "location": "Berlin", "radius": 30, "employmentType": "", "jobType": "1", "publishedSince": 30, "maxResults": 100, "fetchFullDetails": false } ```` # Actor output Schema ## `results` (type: `string`): All scraped items stored in the default dataset. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("ambitious_silo/arbeitsagentur-jobs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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("ambitious_silo/arbeitsagentur-jobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call ambitious_silo/arbeitsagentur-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ambitious_silo/arbeitsagentur-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Arbeitsagentur Jobs Scraper β€” Bundesagentur fΓΌr Arbeit", "description": "Scrape job listings from arbeitsagentur.de (German Federal Employment Agency). Search by keyword, location, and employment type. Returns structured data with title, company, salary, location, and full details.", "version": "0.4", "x-build-id": "gFNJlyyRdGyWfmD1o" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ambitious_silo~arbeitsagentur-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ambitious_silo-arbeitsagentur-jobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ambitious_silo~arbeitsagentur-jobs-scraper/runs": { "post": { "operationId": "runs-sync-ambitious_silo-arbeitsagentur-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ambitious_silo~arbeitsagentur-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-ambitious_silo-arbeitsagentur-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQueries": { "title": "Search keywords", "type": "array", "description": "Job keywords to search for (e.g. 'Python Developer', 'Krankenschwester', 'LKW Fahrer'). Leave empty to search all jobs.", "items": { "type": "string" }, "default": [ "Softwareentwickler" ] }, "location": { "title": "Location", "type": "string", "description": "City, postal code, or region in Germany. Leave empty for nationwide.", "default": "Berlin" }, "radius": { "title": "Search radius (km)", "minimum": 0, "maximum": 200, "type": "integer", "description": "Search radius around the location in kilometers.", "default": 30 }, "employmentType": { "title": "Employment type", "enum": [ "", "VOLLZEIT", "TEILZEIT", "MINIJOB", "WERKSTUDENT" ], "type": "string", "description": "Filter by type of employment.", "default": "" }, "jobType": { "title": "Job type", "enum": [ "1", "2" ], "type": "string", "description": "Filter by the type of offering.", "default": "1" }, "publishedSince": { "title": "Published within (days)", "minimum": 1, "maximum": 60, "type": "integer", "description": "Only show jobs published within the last N days.", "default": 30 }, "maxResults": { "title": "Max results per search", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of jobs to scrape per search query.", "default": 100 }, "fetchFullDetails": { "title": "Fetch full job details", "type": "boolean", "description": "If true, visits each job detail page to get the full description, requirements, and contact information. Slower but more complete.", "default": false } } }, "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 } } } } } } } } } } ```