Job Posting Data
Aggregated job listing data used to track hiring trends, labor market signals and company growth indicators.
Job posting data aggregates listings from job boards and company career pages to reveal hiring trends, in-demand skills and labor market signals. It's used both for HR/recruiting market research and as an alternative data signal for company growth analysis.
This data is generally collected via web scraping platforms or purchased from providers who specialize in aggregating and structuring job listing feeds.
When to use it
- You're tracking hiring trends across companies or industries
- You're using job postings as an alternative data signal for investment research
- You're benchmarking compensation or in-demand skills
Common use cases
Buying criteria
- Coverage across job boards and regions
- Update frequency
- Structured fields (title, location, salary where available)
- Deduplication quality across sources
Risks and limitations
- Job posting data can include duplicate or expired listings if not well maintained
- Respect source site terms when collecting via scraping
Recommended providers
Bright Data
4.6/5A large web data platform combining proxy networks, scraping infrastructure and ready-made datasets for enterprise data collection.
Oxylabs
4.5/5An enterprise-focused web data platform providing proxy networks, scraper APIs and curated datasets with strong compliance positioning.
Apify
4.4/5A developer-friendly web scraping and automation platform with a large marketplace of ready-made scrapers ('Actors').
Frequently asked questions
How is job posting data usually collected?
It's typically aggregated by scraping job boards and career pages or purchased from providers who specialize in structuring job listing feeds across many sources.