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HR Data | Recruiting Data | Global Employee Data | Sourced From Company Websites | 232M+ Records

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https://marketplace.databricks.com/details/d41f89c6-6d8e-43d1-8ec4-2ad167796d50/PredictLeads_HR-Data-Recruiting-Data-Global-Employee-Data-Sourced-From-Company-Websites-232M+-Records
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PredictLeads Job Openings Data provides real-time hiring insights sourced directly from company websites, ensuring the highest level of accuracy and freshness. Unlike job boards that rely on aggregated listings, our dataset delivers unmatched granularity on job postings, salary trends, and workforce demand - making it a powerful tool for HR, talent acquisition, and market analysis. Use Cases: ✅ Job Boards Enhancement – Improve job listings with, high-quality postings. ✅ HR Consulting – Analyze hiring trends to guide workforce planning strategies. ✅ Employment Analytics – Track job market shifts, salary benchmarks, and demand for skills. ✅ HR Operations – Optimize recruitment pipelines with direct employer-sourced data. ✅ Competitive Intelligence – Monitor hiring activities of competitors for strategic insights. Key API Attributes: - id (string, UUID) – Unique job posting identifier. - title (string) – Job title as posted by the employer. - description (string) – Full job description. - url (string, URL) – Direct link to the job posting. - first_seen_at (ISO 8601 date-time) – When the job was first detected. - last_seen_at (ISO 8601 date-time) – When the job was last detected. - contract_types (array of strings) – Employment type (e.g., full-time, contract). - categories (array of strings) – Job categories (e.g., engineering, sales). - seniority (string) – Job seniority level (e.g., manager, entry-level). - salary_data (object) – Salary range, currency, and converted USD values. - location_data (object) – City, country, and region details. - tags (array of strings) – Extracted skills and keywords from job descriptions. PredictLeads Docs: https://docs.predictleads.com/v3/guide/job_openings_dataset
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PredictLeads
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