Arbeitsagentur.de Job Search Scraper: Extract German Employment Market Data

Understanding Arbeitsagentur.de and Its Role in German Employment

Arbeitsagentur.de serves as Germany's official federal employment agency (Bundesagentur für Arbeit), operating the nation's largest job database. Unlike commercial job boards, this government platform provides verified employment opportunities across all sectors, skill levels, and regions in Germany. The platform's official status ensures data accuracy and regulatory compliance, making it the primary source for German labor market intelligence.

The database contains unique information reflecting Germany's employment structure: apprenticeship positions (Ausbildung), career change suitability (Quereinsteiger), part-time morning shifts common in German work culture, and official employer customer numbers. For recruitment agencies targeting German markets, labor economists analyzing employment trends, or international companies entering Germany, this data provides authoritative insights into hiring patterns, salary ranges, and workforce demand.

Manual collection of job data across German regions and occupational categories would require navigating complex search filters and copying information from hundreds of pages. This scraper automates the process, transforming search results into structured datasets ready for analysis, competitive intelligence, or job aggregation platforms.

What This Scraper Extracts and Who Should Use It

The Arbeitsagentur.de Job Search Scraper processes search result pages, capturing multiple job listings per page. It extracts official employment postings with government-verified employer information and standardized occupational classifications.

Primary Users:

Recruitment Agencies build databases of German job opportunities filtered by region, occupation, and career change suitability. Labor Market Researchers analyze hiring trends, salary distributions, and regional employment patterns using official government data. Job Aggregation Platforms integrate verified German employment opportunities into their databases. International HR Departments monitor German market conditions for expansion planning or remote hiring. Career Counselors provide clients with comprehensive views of opportunities including those suitable for career changers.

Input Configuration and Parameters

The scraper processes Arbeitsagentur.de search result URLs from job searches on the platform.

Example Input:

{
  "proxy": {
    "useApifyProxy": false
  },
  "max_items_per_url": 20,
  "ignore_url_failures": true,
  "offset": 0,
  "urls": [
    "https://www.arbeitsagentur.de/jobsuche/suche?angebotsart=1&wo=Kinding"
  ]
}

Example Screenshot:

Parameter Explanations:

proxy: Set to false since Arbeitsagentur.de is a public government site. Enable proxies if scraping large volumes or encountering rate limits.

max_items_per_url: Limits extraction to 20 jobs per search page. Adjust higher (50-100) for comprehensive extraction from pages with more results.

ignore_url_failures: When true, continues processing if individual URLs fail. Critical for batch scraping multiple search queries.

offset: Starting position in search results. Use for pagination—set to 0 for first page, 20 for second page, 40 for third, etc.

urls: Search result page URLs.

Complete Output Structure

Job Type: Employment classification (full-time, part-time, apprenticeship, mini-job). Purpose: Filter opportunities by employment type, analyze market composition.

Job Title: Position name as posted. Purpose: Role identification, search functionality, demand analysis.

Suitable for Career Changers (Quereinsteiger): Boolean indicating if position accepts candidates changing careers. Purpose: Identify opportunities for reskilling programs, career transition matching.

Part Time Morning: Indicates morning shift availability. Purpose: Work-life balance matching, childcare-compatible opportunities.

Start Period: Expected employment start date or timeframe. Purpose: Urgency assessment, availability matching.

Compensation Info: Salary range or payment details. Purpose: Salary benchmarking, compensation analysis across regions/occupations.

Contract Duration: Temporary, permanent, or fixed-term length. Purpose: Employment stability classification, market segmentation.

Locations: Job geographic locations (city, region). Purpose: Regional demand analysis, location-based filtering.

Publication Period: How long job has been posted. Purpose: Freshness indicator, filling difficulty assessment.

First Publication Date: Initial posting timestamp. Purpose: Time-to-fill calculation, historical tracking.

Modification Date: Last update timestamp. Purpose: Active maintenance indicator, content change tracking.

Main Occupation: Primary occupational category per German classification system. Purpose: Standardized categorization, cross-market comparison.

Company: Employer name. Purpose: Employer profiling, hiring activity tracking.

Employer Customer Number Hash: Anonymized unique employer identifier. Purpose: Tracking employer without revealing identity, multi-posting analysis.

Reference Number: Official job posting ID. Purpose: Unique identifier, duplicate prevention, direct linking.

Distance: Distance from search location (if location search used). Purpose: Proximity-based job matching, commute planning.

All Occupations: Complete list of relevant occupational categories. Purpose: Multi-category jobs identification, comprehensive classification.

Sample Output:

[
  {
  "job_type": "ARBEIT",
  "job_title": "Gesundheits- und Krankenpfleger (m/w/d)",
  "suitable_for_career_changers": false,
  "part_time_morning": false,
  "start_period": {
    "von": "2025-12-15"
  },
  "compensation_info": "JAHRESGEHALT",
  "contract_duration": "UNBEFRISTET",
  "locations": [
    {
      "adresse": {
        "plz": "91171",
        "ort": "Greding",
        "region": "BAYERN",
        "land": "DEUTSCHLAND"
      },
      "breite": 49.062864,
      "laenge": 11.3250678
    }
  ],
  "publication_period": {
    "von": "2025-12-11"
  },
  "first_publication_date": "2025-12-11",
  "modification_date": "2025-12-15T10:35:16.063",
  "main_occupation": "Gesundheits- und Krankenpfleger/in",
  "company": "Tempton Personaldienstleistungen GmbH NL Nürnberg Medical",
  "employer_customer_number_hash": null,
  "reference_number": "14751-373A61230-S",
  "distance": 8,
  "all_occupations": [
    "Gesundheits- und Krankenpfleger/in",
    "Pflegefachmann/-frau (Ausbildung)"
  ],
  "from_url": "https://www.arbeitsagentur.de/jobsuche/suche?angebotsart=1&wo=Kinding"
}
]

Step-by-Step Usage

1. Build Search URLs: Perform searches on Arbeitsagentur.de with desired filters (location, occupation, job type). Copy resulting URLs.

2. Configure Input: Add URLs to urls array. Set max_items_per_url based on needs (20 for standard, 50+ for comprehensive). Enable ignore_url_failures for multiple URLs.

3. Handle Pagination: For multi-page results, either include multiple URLs with incremented offsets (offset=0, offset=20, offset=40) or set higher max_items_per_url.

4. Execute Scraper: Launch and monitor progress. Typical runs process 5-10 search pages in 2-4 minutes.

5. Export Data: Download in JSON (database integration), CSV (spreadsheet analysis), or Excel (business reporting).

Strategic Applications

Regional Labor Market Analysis: Track job availability, salary ranges, and skill demands across German states and cities. Identify regional disparities and growth areas.

Career Change Opportunity Mapping: Filter jobs suitable for career changers (Quereinsteiger) to support workforce reskilling initiatives and career transition programs.

Salary Benchmarking: Compare compensation across occupations, regions, and employer types using official market data.

Employer Hiring Pattern Analysis: Use employer customer number hashes to track which organizations post frequently, indicating growth or high turnover.

Occupational Demand Forecasting: Analyze posting volumes by main occupation and all occupations to identify trending skills and emerging job categories.

Work-Life Balance Research: Track part-time morning positions to understand family-friendly employment availability across sectors.

Best Practices

Schedule Regular Scraping: German job market updates daily. Weekly scraping captures new postings and tracks market dynamics.

Segment by Region and Occupation: Create targeted search URLs for specific analysis (e.g., "healthcare Bavaria," "IT Berlin") for cleaner datasets.

Validate Employer Data: Cross-reference employer customer number hashes with company databases to build comprehensive employer profiles.

Track Temporal Patterns: Store publication and modification dates to analyze hiring cycles, seasonal trends, and time-to-fill metrics.

Respect Rate Limits: Space out large scraping runs. Sustainable practices ensure continued access to this public resource.

Conclusion

The Arbeitsagentur.de Job Search Scraper provides access to Germany's official employment database, transforming government labor market data into actionable intelligence. From career change opportunities to regional salary analysis, this tool delivers verified insights into Europe's largest economy's job market. Start extracting German employment data today.