# German Job Board Scraper – Bundesagentur für Arbeit (`jungle_synthesizer/arbeitsagentur-scraper`) Actor Extract German job listings from Arbeitsagentur.de (Bundesagentur für Arbeit), Germany's federal employment agency. Search by keyword, location, or browse all open positions. Returns job title, employer, location, contract type, posted date, and job URL. - **URL**: https://apify.com/jungle\_synthesizer/arbeitsagentur-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Jobs, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## German Job Board Scraper – Bundesagentur für Arbeit Extract job listings from [Arbeitsagentur.de](https://www.arbeitsagentur.de) — Germany's federal employment agency and the country's largest public job board, listing hundreds of thousands of positions across all industries and regions. ### What you get For each job listing, the actor returns: | Field | Description | |-------|-------------| | `job_id` | Unique reference number (Referenznummer) | | `title` | Job title | | `employer` | Company name | | `occupation` | Occupation category (Beruf) | | `location_city` | City | | `location_region` | Federal state / region | | `location_country` | Country (usually Deutschland) | | `location_zip` | Postal code | | `location_lat` / `location_lon` | Coordinates | | `posted_date` | Date published (YYYY-MM-DD) | | `modified_at` | Last modified timestamp | | `start_date` | Earliest start date | | `external_url` | Direct employer application URL (when available) | | `job_url` | Link to the listing on Arbeitsagentur.de | | `scraped_at` | Scrape timestamp | ### How to use #### Basic inputs | Input | Type | Description | |-------|------|-------------| | `keyword` | string | Job title or keyword (e.g. `software`, `pfleger`, `verkäufer`). Leave blank to browse all. | | `location` | string | City or region (e.g. `Berlin`, `München`, `Bayern`). Leave blank for all locations. | | `angebotsart` | integer | Job type: `1` = regular jobs, `2` = apprenticeships, `4` = self-employed, `34` = mini-jobs. Leave blank for all types. | | `maxItems` | integer | Maximum number of records to return. Use `0` for unlimited. | #### Example: Software jobs in Berlin ```json { "keyword": "software", "location": "Berlin", "angebotsart": 1, "maxItems": 100 } ```` #### Example: All nursing jobs nationwide ```json { "keyword": "pfleger", "maxItems": 500 } ``` #### Example: Browse all open positions ```json { "maxItems": 1000 } ``` ### Data source This actor uses the official Bundesagentur für Arbeit REST API (`rest.arbeitsagentur.de`). No login or credentials are required — the API is publicly accessible. The underlying database contains over 700,000 active listings at any given time, covering regular employment, apprenticeships, mini-jobs, and self-employment opportunities across Germany and internationally. ### Performance - Retrieves up to 100 listings per API call with a 300ms delay between requests - No proxy required — runs on standard datacenter infrastructure - Typical run: 1,000 records in under 60 seconds ### Notes - Listings without an `external_url` are managed directly through Arbeitsagentur.de - The `angebotsart=1` filter (regular jobs) excludes apprenticeships and training positions — omit it to include all job types - Results reflect live data from the Bundesagentur für Arbeit database and may include listings from Austria and other German-speaking countries # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `keyword` (type: `string`): Job title, occupation or keyword to search for (e.g. "software", "Pfleger"). Leave blank to browse all jobs. ## `location` (type: `string`): City or region to filter jobs by (e.g. "Berlin", "München"). Leave blank for all locations. ## `angebotsart` (type: `integer`): Filter by job type: 1=Regular jobs, 2=Apprenticeships/Training, 4=Self-employed, 34=Mini-jobs. Leave blank for all types. ## `maxItems` (type: `integer`): Maximum number of job listings to scrape (0 = unlimited). ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "keyword": "software", "angebotsart": 1, "maxItems": 10 } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "keyword": "software", "location": "", "angebotsart": 1, "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/arbeitsagentur-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "keyword": "software", "location": "", "angebotsart": 1, "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/arbeitsagentur-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "keyword": "software", "location": "", "angebotsart": 1, "maxItems": 10 }' | apify call jungle_synthesizer/arbeitsagentur-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/arbeitsagentur-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "German Job Board Scraper – Bundesagentur für Arbeit", "description": "Extract German job listings from Arbeitsagentur.de (Bundesagentur für Arbeit), Germany's federal employment agency. Search by keyword, location, or browse all open positions. Returns job title, employer, location, contract type, posted date, and job URL.", "version": "0.1", "x-build-id": "3OceRpMGuIFck4gbx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~arbeitsagentur-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-arbeitsagentur-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/jungle_synthesizer~arbeitsagentur-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-arbeitsagentur-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/jungle_synthesizer~arbeitsagentur-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-arbeitsagentur-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", "required": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "keyword": { "title": "Search Keyword (was)", "type": "string", "description": "Job title, occupation or keyword to search for (e.g. \"software\", \"Pfleger\"). Leave blank to browse all jobs." }, "location": { "title": "Location (wo)", "type": "string", "description": "City or region to filter jobs by (e.g. \"Berlin\", \"München\"). Leave blank for all locations." }, "angebotsart": { "title": "Job Type", "type": "integer", "description": "Filter by job type: 1=Regular jobs, 2=Apprenticeships/Training, 4=Self-employed, 34=Mini-jobs. Leave blank for all types." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of job listings to scrape (0 = unlimited).", "default": 10 } } }, "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 } } } } } } } } } } ```