Real-time ATS job aggregation API for recruiters and job-seekers

Companies post jobs across many ATSs (Greenhouse, Workday, Lever) and it's noisy to track. This service normalizes and updates ATS job listings daily into a searchable API/alerts feed so recruiters/candidates get fresher, structured signals.

84Score

Target Audience

Primary: small-medium recruiting agencies, independent recruiters/sourcers, talent teams at fast-growing startups. Secondary: power job-seekers and career coaches. Enterprise: large staffing firms, ATS vendors, job boards needing normalized job data.

Market Size

$20.0B = 200,000 companies x $...

Competition

medium

Key Pain Points

Platform/legal risk -- ATS vendors could rate-limit, change endpoints, or add protections, raising maintenance costs.
Competition from incumbents -- LinkedIn/Indeed and larger aggregators could replicate features or tighten access.
Low defensibility from replication -- API-layer scrapers and parser models are easy for others to build without unique data accumulation.

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OVERALL

8.4Great

Market Validation

Demand

~2K/mo*

Competition

medium

Growth

10-15% — HR tech and recruiting analytics grow steadily; job-data services growing faster (15%+)*

Market Size

$20.0B

Market Opportunity

Real-time ATS job aggregation API for recruiters and job-seekers targets a $20.0B = 200,000 companies x $100k avg annual spend on recruiting stack & job-distribution/analytics total addressable market with medium saturation and a year-over-year growth rate of 10-15% — HR tech and recruiting analytics grow steadily; job-data services growing faster (15%+).

Key trends driving demand: ATS fragmentation -- hiring data is scattered across many ATSs (Greenhouse/Lever/Workday), creating demand for normalization and aggregation.; Rise of data-driven sourcing -- recruiters buy tools that provide structured signals (skill-match, status changes) not just search results.; Anti-scraping enforcement on platforms -- as LinkedIn/Indeed become harder to scrape, alternative sources (ATS APIs) gain value.; NLP & entity extraction improvements -- higher quality parsing enables resume/job matching, dedupe, and taxonomy alignment at scale..