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Willhaben.at Jobs Scraper: Extract Austrian Job Data Efficiently

Introduction: Why Scrape Willhaben.at Job Listings?

Willhaben.at stands as Austria's premier digital marketplace and one of the country's most visited websites, attracting over 4.2 million users monthly. The platform's jobs section hosts more than 17,000 active job listings across diverse industries, making it an invaluable resource for recruitment professionals, market researchers, and business analysts. With over 400,000 unique users accessing willhaben jobs each month, the platform represents a comprehensive snapshot of Austria's employment landscape.

For HR professionals and recruitment agencies, manually tracking job postings across willhaben.at is time-consuming and inefficient. Market researchers need systematic access to employment data for trend analysis, salary benchmarking, and industry insights. The Willhaben.at Jobs Scraper solves these challenges by automating the extraction of detailed job information, transforming scattered listings into structured, analyzable data.

Overview: Comprehensive Job Data Extraction Tool

The Willhaben.at Jobs Scraper is a specialized web scraping solution designed to extract complete job listing information from willhaben.at's employment section. This tool systematically retrieves job details from individual job posting pages, capturing everything from basic position information to complex employment terms and company details.

Key Capabilities

The scraper excels at extracting comprehensive job data with minimal configuration. It handles dynamic content loading, manages anti-bot protection through residential proxies, and maintains data integrity through robust error handling. The tool is specifically optimized for willhaben.at's job listing structure, ensuring reliable data extraction across different job categories and listing formats.

Target Users

This scraper serves multiple user groups effectively:

• Recruitment Agencies: Monitor competitor job postings, identify market trends, and discover potential clients
• Market Researchers: Analyze employment patterns, salary distributions, and industry hiring trends
• Business Analysts: Conduct competitive intelligence and workforce planning
• HR Departments: Benchmark salaries and understand market positioning
• Data Scientists: Build employment datasets for predictive modeling and trend analysis

Input and Output Specifications

Example url 1: https://www.willhaben.at/jobs/job/maschinenfuehrer-maschineneinsteller-m-w-d-25469/13104642

Example url 2: https://www.willhaben.at/jobs/job/kuechengehilf-e-in-fuer-teilzeit-oder-vollzeit/13118789

Example url 3: https://www.willhaben.at/jobs/job/fachingenieur-in-fuer-antriebssysteme-w-m-d-24894/13079381

Example Screenshot of jobs information page:

Input Format

The scraper accepts JSON configuration with specific parameters to control the extraction process:

{
  "max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided.
  "proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot.
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL" 
    ],
    "apifyProxyCountry": "SG" // You should choose an Country that coincides with the Country you want to collect data from
  },
  "ignore_url_failures": true,
  "urls": [ // Links to jobs information pages.
    "https://www.willhaben.at/jobs/job/maschinenfuehrer-maschineneinsteller-m-w-d-25469/13104642",
    "https://www.willhaben.at/jobs/job/kuechengehilf-e-in-fuer-teilzeit-oder-vollzeit/13118789",
    "https://www.willhaben.at/jobs/job/fachingenieur-in-fuer-antriebssysteme-w-m-d-24894/13079381"
  ]
}

max_retries_per_url: Controls retry attempts for failed requests. Setting this to 2 provides a balance between resilience and efficiency. If a job page fails to load due to temporary network issues, the scraper will retry up to 2 times before moving to the next URL.

proxy configuration: Critical for avoiding bot detection. The residential proxy setting mimics real user behavior, significantly reducing the chance of being blocked. Using "SG" (Singapore) as the country may seem counterintuitive for an Austrian website, but you should ideally select "AT" (Austria) to match the target website's geographic location and reduce latency.

ignore_url_failures: When set to true, the scraper continues processing remaining URLs even if some fail. This ensures that a single problematic listing doesn't halt the entire scraping operation.

urls array: Contains direct links to individual job detail pages. Each URL must point to a specific job posting, not category or search result pages. The scraper extracts data from these exact pages.

Input Requirements and Best Practices

• Use complete job detail page URLs, not abbreviated or shortened links
• Ensure URLs are active and publicly accessible
• For Austrian jobs, consider setting proxy country to "AT" for optimal performance
• Start with a small URL batch (10-20 listings) to test configuration before scaling
• Group similar job types together for consistent data extraction

Output Format and Data Fields

You get the output from the willhaben.at Jobs Details Scraper stored in a tab. The following is an example of the Information Fields collected after running the Actor.

[ // List of jobs information
  {
  "id": 13104642,
  "url": "https://www.willhaben.at/jobs/job/maschinenfuehrer-maschineneinsteller-m-w-d-25469/13104642",
  "reference_id": null,
  "title": "Maschinenführer / Maschineneinsteller (m/w/d) (25469)",
  "slug_title": "maschinenfuehrer-maschineneinsteller-m-w-d-25469",
  "description": "Einsatzort\nLinz\nFiliale\n4000\n\nFür einen unserer Stammkunden, einem führenden international tätigen Unternehmen aus der Süßwarenindustrie, suchen wir für eine langfristige Position mit Übernahmemöglichkeit zur baldmöglichen Einstellung einen:\n\nMaschinenführer / Maschineneinsteller (m/w/d)\nDein Profil\n\n* Handwerkliches Geschick, technisches Verständnis oder eine technische Ausbildung sind deine Stärken \n* Erfahrung in einer Produktion oder Verpackung von Vorteil \n* Deutsch mindestens Level B2 - du musst Produktionsprotokolle führen und eine einwandfreie Kommunikation mit Schichtführer/Vorgesetzten muss gewährleistet werden \n* Du bist körperlich fit und kannst die befüllten Kisten mit bis zu 25 kg Heben \n* Kenntnisse im Lebensmittelbereich wie z.B. Hygienevorschriften wünschenswert \n* Du hast keine Allergien auf Zucker, Mehl oder Maisstärke \n* Du verfügst über einen einwandfreien Leumund \n* 3-Schichtbereitschaft von Montag-Freitag Deine zukünftigen Tätigkeiten\n\n* Du bekommst in den ersten 6 Monaten eine Einschulung auf die Maschinen und Anlagen \n* Mitarbeit in der Produktion und Verpackung von Süßwaren \n* Bedienung der Anlagen und auch Auswahl und Einstellung des Programms \n* Führen von Produktionsprotokollen und Mängellisten \n* Befüllen, Kontrolle und Reinigung der Anlagen und Maschinen Wir bieten\n\n* Vollzeitbeschäftigung 38,5 Stunden/Woche \n* 3-Schichtmodell im wöchentlichen Wechsel \n* Der Bruttostundenlohn beträgt ab EUR 13,59 + Prämien + Zulagen \n* Gerne sind wir zur Überzahlung bereit, je nach Qualifikation und Berufserfahrung \n* Langfristige Stelle mit geplanter Übernahme \n* Der Betrieb ist mit öffentlichen Verkehrsmitteln erreichbar \n* Mitarbeiterevents, Rabatte und vieles mehr wartet auf dich Jetzt bewerben Haben wir dein Interesse geweckt? Dann bewirb dich mit nur wenigen Schritten direkt mit dem Button JETZT BEWERBEN über unser online Bewerbungsformular. \n\nFrau Sarah Brunner freut sich auf deine Bewerbung! \n\nFür weitere Informationen wende dich bitte direkt an die zuständige Niederlassung \nACTIEF JOBMADE GmbH | 4040 Linz | Ferihumerstraße 15 \noder besuche uns auf meinneuerjob.at! \n* Jobsuche \n* Offene Stellen \n* Initiativbewerbung \n* Karriere in unserem Team \n* Jobprofile und Berufsbilder \n* Für Bewerber \n* Services & Vorteile \n* Das sind wir \n* Für Unternehmen \n* Services & Vorteile \n* Kunden-Referenzen \n* Über Uns \n* ACTIEF JOBMADE \n* Team \n* Geschichte & Mission \n* Karriere Blog \n* Standorte \n* Jobsuche \n* Offene Stellen \n* Initiativbewerbung \n* Karriere in unserem Team \n* Jobprofile und Berufsbilder \n* Für Bewerber \n* Services & Vorteile \n* Das sind wir \n* Für Unternehmen \n* Services & Vorteile \n* Kunden-Referenzen \n* Über Uns \n* ACTIEF JOBMADE \n* Team \n* Geschichte & Mission \n* Karriere Blog \n* Standorte",
  "employment_time": "ab sofort",
  "position": "Mitarbeiter:in",
  "first_publish_date": "2025-10-28T01:50:00",
  "last_modified_date": "2025-10-28T02:38:25",
  "expiry_date": "2026-08-18",
  "last_reorder_date": "2025-10-28T01:50:00",
  "overpay": true,
  "apply_url": "https://www.actief-jobmade.at/job/maschinenfuehrer-maschineneinsteller-m-w-d-25469/bewerben/?source_channel=1",
  "force_external_application_form": true,
  "salary": 13.59,
  "salary_time_frame": "stündlich",
  "is_expired": false,
  "employment_modes": [
    "Vollzeit"
  ],
  "job_locations": [
    {
      "name": "Linz",
      "federal_state": "Oberösterreich",
      "country": "Österreich"
    }
  ],
  "language_skills": [],
  "company": {
    "id": 17863705,
    "title": "ACTIEF JOBMADE GmbH",
    "slug_title": "actief-jobmade-gmbh",
    "type": "Personaldienstleister",
    "uid_number": "ATU65024868",
    "url": "http://www.actief-jobmade.at",
    "logo_url": "https://www.willhaben.at/jobs/api/v1/images/public/476604030?resolution=480",
    "industry": "Personaldienstleistungen",
    "address": {
      "street": "Franzosenhausweg 67",
      "zip_code": "4030",
      "city": "Linz",
      "country": "Österreich"
    },
    "founding_year": 2009,
    "employee_count_from": 501,
    "employee_count_to": 1000,
    "active_adverts": 545
  },
  "contact": {}
}, // ... Many other jobs details
]

The scraper extracts an extensive range of jobs data fields, each serving specific analytical and business purposes:

ID: Unique internal identifier assigned by the scraper for database integration and reference tracking. This field helps maintain data consistency when importing into your systems.

URL: The complete job listing URL, enabling direct access to the original posting for verification or applicant referral. Essential for audit trails and candidate communication.

Reference ID: The employer's internal job requisition number or reference code. This identifier is crucial for tracking positions across multiple job boards and internal applicant tracking systems.

Title: The job position title exactly as published by the employer. This field is vital for job categorization, search optimization, and matching candidates to roles.

Slug Title: URL-friendly version of the job title, typically lowercase with hyphens replacing spaces. Used for generating clean URLs in your own job portal or database queries.

Description: Complete job description including responsibilities, requirements, qualifications, and company information. This rich text field often contains formatted content with bullet points and section headers, providing comprehensive insight into the role.

Employment Time: Specifies the work schedule type such as "Full-time", "Part-time", "Hourly", or "Contract". Critical for filtering jobs by time commitment and matching candidate availability.

Position: The hierarchical level or seniority of the role (e.g., "Entry Level", "Mid-Level", "Senior", "Management", "Executive"). This classification aids in salary analysis and career progression studies.

First Publish Date: The original posting date when the job was first published on willhaben.at. Useful for tracking how long positions remain open and analyzing hiring velocity.

Last Modified Date: Timestamp of the most recent update to the job listing. Indicates when employers refreshed or edited the posting, signaling active recruitment efforts.

Expiry Date: The deadline date after which the job posting will no longer be visible. Essential for time-sensitive applications and measuring typical job posting durations.

Last Reorder Date: Date when the employer paid to boost or reorder the listing for higher visibility. This signals competitive positions or urgent hiring needs.

Overpay: Boolean or percentage indicator showing if the position offers above-market compensation. Valuable for identifying high-paying opportunities and salary benchmarking.

Apply URL: Direct link to the application form or application landing page. This may differ from the job listing URL and is essential for tracking application conversion paths.

Force External Application Form: Boolean flag indicating whether applicants must apply through the employer's website rather than willhaben.at's internal system. Important for understanding application friction and user experience.

Salary: Compensation details which may include ranges, specific amounts, or descriptions. The format varies but typically includes currency and time period (annual, monthly, hourly).

Salary Time Frame: Specifies whether the salary is annual, monthly, weekly, or hourly. This standardization is crucial for accurate salary comparisons across listings.

Is Expired: Boolean status indicating whether the job posting has passed its expiry date. Helps filter active opportunities from historical data in your analysis.

Employment Modes: Array of work arrangement options such as "On-site", "Remote", "Hybrid". Increasingly important for modern workforce analysis and candidate matching.

Job Locations: Structured location data including city, postal code, state/region, and potentially coordinates. Essential for geographic analysis, commute calculations, and local market insights.

Language Skills: Required or preferred language proficiencies with proficiency levels (e.g., "German: Native", "English: Fluent"). Critical for international recruitment and multilingual workforce planning.

Company: Comprehensive employer information including company name, industry, size, and description. This rich dataset enables company-focused research and employer branding analysis.

Contact: Hiring manager or recruiter contact details, which may include name, email, phone number, or department. Valuable for direct outreach and relationship building.

Sample Output Structure

Implementation Guide: Getting Started with the Scraper

Step 1: Prepare Your Target URLs

Collect the specific job listing URLs you want to scrape. Navigate to willhaben.at/jobs, search for relevant positions, and copy the complete URL from each job detail page. Ensure you're using individual job page URLs, not search results or category pages.

Step 2: Configure Your Input File

Create a JSON configuration file with your parameters. Start conservatively with max_retries set to 2 and a small URL batch. Always enable residential proxy with country code "AT" for Austrian job listings to minimize detection risks.

Step 3: Execute the Scraper

Submit your configuration to the scraping platform. The scraper will process each URL sequentially, implementing delays between requests to mimic human behavior and avoid rate limiting.

Step 4: Monitor Progress

Most scraping platforms provide real-time logs. Watch for errors or warnings that might indicate configuration issues or inaccessible URLs.

Step 5: Retrieve and Validate Output

Download the structured data output (typically JSON or CSV format). Validate a sample of results against the original job listings to ensure data accuracy and completeness.

Best Practices for Optimal Results

Timing considerations: Schedule scraping during off-peak hours (late evening or early morning Austrian time) to reduce server load and detection likelihood.

Rate limiting: Implement delays between requests. Even with proxies, aggressive scraping can trigger protections. A 2-3 second delay between URLs is recommended.

Data validation: Always spot-check extracted data against source pages. Field availability may vary based on how employers structure their job postings.

Error handling: Review failed URLs and retry with adjusted parameters. Common failures include expired listings, deleted posts, or temporarily unavailable pages.

Legal compliance: Ensure your data collection complies with Austrian data protection regulations and willhaben.at's terms of service. Focus on publicly available information for legitimate business purposes.

Business Value: Strategic Applications of Job Data

Competitive Intelligence

Understanding competitor hiring patterns reveals strategic business moves. When companies post jobs for specific roles, it indicates expansion, new product development, or market entry. Tracking hiring velocity across your industry helps anticipate competitive threats and opportunities.

Salary Benchmarking

Systematic collection of salary data enables evidence-based compensation planning. Compare your salary offerings against market rates by position, location, and seniority level. Identify overpaid or underpaid positions in your organization to optimize compensation budgets.

Market Trend Analysis

Aggregated job data reveals industry trends. Rising demand for specific skills indicates emerging technologies or methodologies. Geographic shifts in job postings signal market expansion or contraction in different regions.

Talent Pool Insights

Analyzing job requirements across multiple listings helps understand the available talent pool. Identify common skill combinations, required experience levels, and language expectations to refine your candidate search strategies.

Time Savings and Efficiency

Manual job data collection is labor-intensive and error-prone. A person might spend 5-10 minutes per job listing to manually record all relevant information. This scraper processes hundreds of listings in the time it takes to manually handle one, freeing your team for higher-value analytical work.

Conclusion: Empower Your Recruitment and Research Strategy

The Willhaben.at Jobs Scraper transforms how organizations interact with Austria's largest job marketplace. By automating data extraction and providing structured, comprehensive job information, this tool enables data-driven decision-making in recruitment, competitive intelligence, and market research.

Whether you're tracking hiring trends, benchmarking compensation, or building comprehensive employment databases, this scraper delivers the reliable, detailed data you need. The combination of robust error handling, proxy support, and comprehensive field extraction ensures you capture the complete picture of Austria's job market.

Ready to transform your job market intelligence? Start with a small batch of target listings to familiarize yourself with the output structure, then scale your operations to match your research needs.

Related Actors

• willhaben.at Jobs Search Scraper: A specialized data extraction tool engineered to harvest detailed jobs information from willhaben's.

Your feedback

We are always working to improve Actors' performance. So, if you have any technical feedback about willhaben.at Jobs Details Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console.