# Arbeitsagentur Jobs Scraper ($0.30/1k results) (`thescrappa/arbeitsagentur-jobs-scraper`) Actor Search official German Federal Employment Agency job listings with Scrappa. Extract job titles, employers, occupations, locations, publication dates, start dates, reference numbers, job URLs, facets, and pagination. - **URL**: https://apify.com/thescrappa/arbeitsagentur-jobs-scraper.md - **Developed by:** [Scrappa](https://apify.com/thescrappa) (community) - **Categories:** Lead generation, Marketing, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.30 / 1,000 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 ## Arbeitsagentur Jobs Scraper Search official German Federal Employment Agency job listings with Scrappa. This actor returns clean dataset rows for job titles, occupations, employers, locations, publication dates, start dates, reference numbers, and job URLs. ### Pricing This actor is intended to run on usage-aligned paid pricing at $0.30 per 1,000 dataset results. The actor only pushes job rows to the dataset, so billing maps directly to successful result volume. ### Input ```json { "was": "Software Entwickler", "wo": "Berlin", "umkreis": 25, "arbeitszeit": "vz;ho", "veroeffentlichtseit": 7, "page": 1, "size": 25 } ```` Use `page` and `size` to paginate. The raw Scrappa response in the `OUTPUT` key-value-store record includes `maxErgebnisse`, `page`, `size`, and `facetten` when returned by Arbeitsagentur. ### Output Each dataset item is one Arbeitsagentur job listing. The actor preserves the raw Scrappa job fields and adds table-friendly aliases: ```json { "refnr": "12265-399943_JB5100405-S", "titel": "Software Entwickler (m/w/d)", "beruf": "Softwareentwickler/-in", "arbeitgeber": "TechGmbH", "arbeitsort": { "ort": "Berlin", "plz": "10115", "region": "Berlin", "land": "Deutschland", "koordinaten": { "lat": 52.531976, "lon": 13.386737 }, "entfernung": "3" }, "title": "Software Entwickler (m/w/d)", "occupation": "Softwareentwickler/-in", "company_name": "TechGmbH", "location_formatted": "10115, Berlin, Berlin, Deutschland", "location_city": "Berlin", "postal_code": "10115", "region": "Berlin", "country": "Deutschland", "published_date": "2026-03-20", "start_date": "2026-04-01", "job_url": "https://www.arbeitsagentur.de/jobsuche/jobdetail/10000001", "reference_number": "12265-399943_JB5100405-S", "distance_km": "3" } ``` The complete Scrappa response, including `facetten` and pagination metadata, is saved to the key-value store under `OUTPUT`. # Actor input Schema ## `was` (type: `string`): Job title, keyword, or occupation, for example Software Entwickler, Pflegefachkraft, Ausbildung, or Elektriker. ## `wo` (type: `string`): City, postal code, or region, for example Berlin, Hamburg, Munich, or 10115. ## `umkreis` (type: `integer`): Search radius in kilometers around the selected location. ## `angebotsart` (type: `integer`): Arbeitsagentur offer type. ## `arbeitszeit` (type: `string`): Working-hours filters. Use one or semicolon-separated values: vz full-time, tz part-time, snw shift/night/weekend, ho home office, mj mini-job. ## `veroeffentlichtseit` (type: `integer`): Only return jobs published in the selected number of days. ## `berufsfeld` (type: `string`): Optional Arbeitsagentur occupational field code. ## `arbeitgeber` (type: `string`): Filter by employer or company name. ## `befristung` (type: `integer`): Contract duration filter. ## `zeitarbeit` (type: `boolean`): Include temporary agency jobs. ## `pav` (type: `boolean`): Include listings from private employment agencies. ## `page` (type: `integer`): Arbeitsagentur result page to fetch. Pagination starts at 1. ## `size` (type: `integer`): Number of jobs to return in one request. Scrappa accepts 1 to 100. ## Actor input object example ```json { "was": "Software Entwickler", "wo": "Berlin", "umkreis": 25, "arbeitszeit": "vz;ho", "page": 1, "size": 25 } ``` # 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 = { "was": "Software Entwickler", "wo": "Berlin", "arbeitszeit": "vz;ho" }; // Run the Actor and wait for it to finish const run = await client.actor("thescrappa/arbeitsagentur-jobs-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 = { "was": "Software Entwickler", "wo": "Berlin", "arbeitszeit": "vz;ho", } # Run the Actor and wait for it to finish run = client.actor("thescrappa/arbeitsagentur-jobs-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 '{ "was": "Software Entwickler", "wo": "Berlin", "arbeitszeit": "vz;ho" }' | apify call thescrappa/arbeitsagentur-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thescrappa/arbeitsagentur-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Arbeitsagentur Jobs Scraper ($0.30/1k results)", "description": "Search official German Federal Employment Agency job listings with Scrappa. Extract job titles, employers, occupations, locations, publication dates, start dates, reference numbers, job URLs, facets, and pagination.", "version": "1.0", "x-build-id": "I8eBG6yX12DQCPLtC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thescrappa~arbeitsagentur-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thescrappa-arbeitsagentur-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/thescrappa~arbeitsagentur-jobs-scraper/runs": { "post": { "operationId": "runs-sync-thescrappa-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/thescrappa~arbeitsagentur-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-thescrappa-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": { "was": { "title": "What", "type": "string", "description": "Job title, keyword, or occupation, for example Software Entwickler, Pflegefachkraft, Ausbildung, or Elektriker." }, "wo": { "title": "Where", "type": "string", "description": "City, postal code, or region, for example Berlin, Hamburg, Munich, or 10115." }, "umkreis": { "title": "Search Radius", "minimum": 10, "maximum": 200, "type": "integer", "description": "Search radius in kilometers around the selected location.", "default": 25 }, "angebotsart": { "title": "Offer Type", "minimum": 1, "maximum": 34, "type": "integer", "description": "Arbeitsagentur offer type." }, "arbeitszeit": { "title": "Working Hours", "type": "string", "description": "Working-hours filters. Use one or semicolon-separated values: vz full-time, tz part-time, snw shift/night/weekend, ho home office, mj mini-job." }, "veroeffentlichtseit": { "title": "Published Since", "minimum": 0, "maximum": 100, "type": "integer", "description": "Only return jobs published in the selected number of days." }, "berufsfeld": { "title": "Occupational Field", "type": "string", "description": "Optional Arbeitsagentur occupational field code." }, "arbeitgeber": { "title": "Employer", "type": "string", "description": "Filter by employer or company name." }, "befristung": { "title": "Contract Type", "minimum": 1, "maximum": 2, "type": "integer", "description": "Contract duration filter." }, "zeitarbeit": { "title": "Temporary Work", "type": "boolean", "description": "Include temporary agency jobs." }, "pav": { "title": "Private Agencies", "type": "boolean", "description": "Include listings from private employment agencies." }, "page": { "title": "Page", "minimum": 1, "maximum": 500, "type": "integer", "description": "Arbeitsagentur result page to fetch. Pagination starts at 1.", "default": 1 }, "size": { "title": "Results Per Page", "minimum": 1, "maximum": 100, "type": "integer", "description": "Number of jobs to return in one request. Scrappa accepts 1 to 100.", "default": 25 } } }, "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 } } } } } } } } } } ```