# Bundesagentur für Arbeit Job Scraper (`plowdata/arbeitsagentur-job-scraper`) Actor Scrape structured job listings from Germany’s Bundesagentur für Arbeit / Arbeitsagentur job portal. Extract jobs, apprenticeships, internships, student positions, locations, salaries, contracts, remote-work info, and more. - **URL**: https://apify.com/plowdata/arbeitsagentur-job-scraper.md - **Developed by:** [Frederic](https://apify.com/plowdata) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.85 / 1,000 job listings This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## 🏢 Bundesagentur für Arbeit Job Scraper Extract structured job listing data from Germany's **Bundesagentur für Arbeit / Arbeitsagentur** - the largest public job portal in the DACH region, with over 700,000 active listings across all industries and job types. Supports work positions, apprenticeships (Ausbildung), dual-study programs, internships, student jobs, and self-employment listings. Built for reliable bulk extraction with clean normalization, deduplication, and support for broad labor-market analysis. Great for: - 📊 **Labor market research** - analyze hiring trends, job demand, regions, contract types, and salary signals across Germany - 🤖 **HR & recruiting tooling** - feed structured job data into matching engines, ATS systems, or recommendation pipelines - 🎓 **Apprenticeship & training search** - collect Ausbildung, dual-study, internship, and trainee listings for education platforms - 📈 **Competitive intelligence** - monitor job postings by company, region, profession, or keyword - 🗺️ **Geographic workforce analysis** - compare hiring patterns by city, region, and radius --- ### 🔍 What data do you get? | Data type | Description | | --- | --- | | Identity | Job title, company name, reference number, and external application URL where available | | Location | City, ZIP code, region, country, street address, district, and GPS coordinates where available | | Work conditions | Contract type, working-time arrangement, contract duration, and salary (fixed or range, hourly or annual) | | Remote work | Whether remote work is possible, including partial vs. full and percentage where specified | | Professions | Canonical profession labels as classified by the Bundesagentur | | Dates | First published date, last modified date, and earliest available start date | | Apprenticeship details | Study form, course name, and yearly training compensation for up to 4 years where available | | Provenance | Source identifier and scrape timestamp | --- ### 🔋 Why use this scraper? - 🇩🇪 **Germany's most comprehensive job source** The Bundesagentur für Arbeit is the central public job board in Germany. Many employers are required to post here, making it uniquely complete compared to commercial platforms. - ⚡ **No proxies required** The actor does not require browser automation or proxy-heavy crawling, making it cheaper, faster, and more stable for large extraction jobs. - 🧹 **Clean, normalized output** Raw listing fields such as salary variants, working-time flags, remote-work information, and apprenticeship data are mapped into a consistent and enforced schema. - 🔁 **Built-in deduplication** Results are deduplicated by reference number before being emitted. You are never charged twice for the same listing. - 📦 **Easy export** Download as JSON, CSV, Excel, or XML, or connect directly to your backend via the Apify API. --- ### ✏️ Input fields | Field | Description | | --- | --- | | `jobType` | **Required.** Type of listing: Work, Apprenticeship, Internship & Student Jobs, or Self-employment | | `query` | Free-text search by job title or keyword, e.g. `Informatik`, `Bäcker`, `Softwareentwickler` | | `location` | Filter by city or region, e.g. `Berlin`, `München`, `Hamburg` | | `radius` | Search radius in km around the specified location. Only applies if `location` is set | | `maxResults` | Stop after collecting this many unique listings | | `enableExperimentalPartitioning` | Split broad searches into sub-queries to extract beyond the default search cap. See below | --- ### 📤 Output format Each job listing is emitted as one normalized record: ```json { "source": "bundesagentur", "scrapedAt": "2026-05-14T10:00:00.000Z", "id": "10001-1002413994-S", "url": "https://www.arbeitsagentur.de/jobsuche/jobdetail/10001-1002413994-S", "title": "Firmware-Entwickler (m/w/d)", "company": "Tintschl Technik GmbH", "type": "ARBEIT", "locations": [ { "city": "Berlin", "zip": "13629", "region": "BERLIN", "country": "DEUTSCHLAND", "street": null, "houseNumber": null, "district": null, "lat": 52.544565, "lng": 13.267390 } ], "remote": null, "remoteType": null, "remotePercentage": null, "workTime": ["VOLLZEIT"], "contract": "UNBEFRISTET", "contractDurationMonths": null, "salary": { "type": "JAHRESGEHALT", "kind": "GEHALTSSPANNE", "from": 48000, "to": 78000 }, "professions": [ "Ingenieurinformatiker/in", "Informatiker/in", "Softwareentwickler/in" ], "firstPublished": "2026-05-10", "lastModified": "2026-05-10T08:05:01.735Z", "availableFrom": "2026-07-01", "dualStudy": null } ```` *** ### ⚗️ Experimental partitioning The Bundesagentur job search caps results at **10,000 per query**. For very broad searches - scraping an entire job category without keyword or location filters - this limit is hit quickly. Experimental partitioning works around this by automatically splitting the search space into smaller sub-queries using available filter dimensions such as location, industry, contract type, and working-time arrangement. Results are merged and deduplicated by reference number across all partitions. **What to expect:** - ✅ Output is always deduplicated - you are never charged twice for the same listing - ⚠️ Partitions with a highly skewed data distribution may still hit the result cap - the actor extracts as much as possible and logs a warning - 🐢 Runtime increases significantly for large unfiltered queries - a full Work category export covers ~700,000 listings - 🔬 The partitioning logic is heuristic-based and may miss a small number of listings in edge cases Partitioning is most useful for **full-category exports and market analysis**. For targeted searches with a keyword or location filter, results rarely exceed the cap and partitioning is unnecessary. *** ### ❓ FAQ **Q: Is this only for regular job listings?**\ No. The actor supports work listings, apprenticeships (Ausbildung), dual-study programs, internships, student jobs (Werkstudent), trainee positions, and self-employment listings. **Q: Do I need proxies?**\ No. The actor is designed to run entirely without proxies. **Q: Can I scrape more than 10,000 results?**\ Yes - enable experimental partitioning. This splits broad searches into sub-queries and deduplicates the output, allowing full-category exports well beyond the default cap. **Q: Will I be charged twice for duplicate listings?**\ No. Listings are deduplicated by reference number before being emitted. You only pay for unique results. **Q: Is scraping Arbeitsagentur data legal?**\ This actor extracts publicly available job listing data from a government portal. As always, ensure your use case complies with applicable laws, platform terms, and data protection requirements. *** ### 💬 Support Questions, issues, or edge cases?\ Drop us a message - this actor is actively maintained. # Actor input Schema ## `jobType` (type: `string`): The type of job listings to scrape. ## `query` (type: `string`): Free-text search by job-type or keyword, e.g. "Informatik" ## `location` (type: `string`): Filters the search results by location, if provided, e.g. "Berlin", optional. ## `radius` (type: `integer`): Only applies if a location is provided, additionally allows results from `radius` km around the provided location, optional. ## `maxResults` (type: `integer`): If provided the actor stops after providing the specified number of results. ## `enableExperimentalPartitioning` (type: `boolean`): Enables experimental partitioning ## Actor input object example ```json { "jobType": "work", "maxResults": 100 } ``` # Actor output Schema ## `jobListings` (type: `string`): Extracted job listing information from the Bundesagentur für Arbeit website. # 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 = { "jobType": "work", "maxResults": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("plowdata/arbeitsagentur-job-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 = { "jobType": "work", "maxResults": 100, } # Run the Actor and wait for it to finish run = client.actor("plowdata/arbeitsagentur-job-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 '{ "jobType": "work", "maxResults": 100 }' | apify call plowdata/arbeitsagentur-job-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=plowdata/arbeitsagentur-job-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bundesagentur für Arbeit Job Scraper", "description": "Scrape structured job listings from Germany’s Bundesagentur für Arbeit / Arbeitsagentur job portal. Extract jobs, apprenticeships, internships, student positions, locations, salaries, contracts, remote-work info, and more.", "version": "1.0", "x-build-id": "e9iIaClbtNR3FgNT3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/plowdata~arbeitsagentur-job-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-plowdata-arbeitsagentur-job-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/plowdata~arbeitsagentur-job-scraper/runs": { "post": { "operationId": "runs-sync-plowdata-arbeitsagentur-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/plowdata~arbeitsagentur-job-scraper/run-sync": { "post": { "operationId": "run-sync-plowdata-arbeitsagentur-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "jobType" ], "properties": { "jobType": { "title": "Job type", "enum": [ "work", "training", "internship", "self-employment" ], "type": "string", "description": "The type of job listings to scrape." }, "query": { "title": "Search query", "type": "string", "description": "Free-text search by job-type or keyword, e.g. \"Informatik\"" }, "location": { "title": "Filter by location", "type": "string", "description": "Filters the search results by location, if provided, e.g. \"Berlin\", optional." }, "radius": { "title": "Filter by location and radius", "type": "integer", "description": "Only applies if a location is provided, additionally allows results from `radius` km around the provided location, optional." }, "maxResults": { "title": "Limit the number of results", "minimum": 1, "type": "integer", "description": "If provided the actor stops after providing the specified number of results." }, "enableExperimentalPartitioning": { "title": "Enable experimental partitioning", "type": "boolean", "description": "Enables experimental partitioning " } } }, "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 } } } } } } } } } } ```