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    "title": "Kununu Employer Reviews & Ratings Scraper",
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    "seoTitle": "Kununu Employer Reviews & Ratings Scraper",
    "seoDescription": "Export public Kununu employer ratings and employee reviews for DACH companies with ratings, recommendations, review text, feedback, and work context.",
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    "readmeSummary": "## Kununu Employer Reviews & Ratings Scraper\n\nA scraper that exports structured public employer profiles, aggregate ratings, and individual employee-review records from Kununu for the DACH region (Germany, Austria, Switzerland). It resolves employer search labels to canonical company profiles or scrapes provided public profile pages, then extracts employer identity and source URL, aggregate rating metrics (overall score, review counts, recommendation rate, category ratings), and per-review content including dated review text, review scores, review titles, labeled pros/cons/suggestions, recommendation signals, and available employment context (employment type/status, role, department, location). The Actor also captures canonical source URLs and stable public review identifiers to support deduplication, monitoring, multi-company exports, and paginated historical review retrieval.\n\n## Use cases\n\n- Export public employer ratings and review records for known DACH companies for analysis or reporting.  \n- Resolve employer names to canonical Kununu profiles and retrieve their rating summaries and reviews.  \n- Compare recommendation rates and aggregate ratings across multiple employers.  \n- Collect dated review texts and metadata (pros/cons/suggestions, scores, employment context) for HR, employer-brand, recruiter, or market-research use.  \n- Build repeatable exports for a shortlist of companies and monitor changes over time using canonical profile URLs and stable review identifiers.",
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  }
}