100000jobs.ch Scraper - Extract Swiss Job Listings

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The 100000jobs.ch Scraper is a specialized tool designed to extract comprehensive job listing data from one of Switzerland's most prominent job boards. It enables recruiters, market analysts, and developers to automate the collection of high-quality employment data from the Swiss market.

Key Features

• Comprehensive Data Extraction: Capture job titles, companies, locations, employment types, workloads, industries, and posting dates.
• Targeted Scraping: Use specific category or search URLs to filter the exact data you need.
• SEO & Market Insights: Ideal for tracking recruitment trends and job market shifts in Switzerland.
• Proxy Support: Fully compatible with Apify Proxy (including Residential proxies) to ensure reliable data extraction at scale.

Use Cases

• Job Aggregators: Populate your own job board with the latest listings from Switzerland.
• Market Research: Analyze hiring trends across different Swiss industries and regions.
• Lead Generation: Identify companies that are actively hiring for specific roles.
• Competitive Intelligence: Monitor the recruitment activity of competitors in the Swiss market.

Input

• startUrls: Array of URLs to scrape (e.g., specific categories or search results)
• maxItems: Maximum number of items to scrape
• proxyConfiguration: Proxy configuration (Residential proxies recommended for high-volume scraping)

{
  "startUrls": [
    {
      "url": "https://www.100000jobs.ch/kaufm%C3%A4nnische-jobs"
    }
  ],
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Output

The scraper provides structured data in JSON format, making it easy to integrate with your existing workflows or databases.

[
  {
    "url": "https://www.100000jobs.ch/job/verka%CC%88ufer-verka%CC%88uferin-m-w-d-20-80/324c354467",
    "jobId": "324c354467",
    "title": "Verkäufer / Verkäuferin (m/w/d) 20-80%",
    "company": "Lidl Schweiz AG",
    "location": "5620 Bremgarten",
    "employmentType": "Festanstellung",
    "workload": "20 - 80 %",
    "industry": "Detailhandel",
    "datePosted": "2025-12-19T14:41:15+01:00",
    "scrapedAt": "2025-12-21T19:45:53.126Z"
  }
]

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