Job Market Analytics
Tracking job posting volume, titles, and compensation signals via search APIs.
The problem
Job posting volume and title trends are one of the more reliable leading indicators of a company's or sector's direction, but no single job board captures every posting, and building a real analytics product on top of that signal means aggregating across many boards and company career pages.
How the workflow is built
Recurring queries per company or sector target career-page domains and major job boards, extracting title, posting date, and — where disclosed — compensation range, with historical snapshots kept so volume and title-mix trends over time become the actual analytical product rather than a single point-in-time count.
Example queries
site:[company].com/careers "senior" engineer"[job title]" salary range [city] 2026"[company]" hiring freeze OR layoffs job postings
Pitfalls to watch for
- Reposted and duplicate listings are extremely common (the same role posted on multiple boards, or re-posted after 30 days to stay 'fresh'), and volume metrics built without real deduplication will systematically overstate hiring activity.
- Compensation disclosure varies by jurisdiction (some require salary ranges in postings, most don't), so any compensation-trend analysis needs to account for the fact that disclosed-range postings aren't a representative sample of all postings.
- Career pages are among the more bot-defensive corners of the web for some larger companies, so retrieval reliability at scale needs monitoring, not an assumption that a query pattern that worked last month still works.