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

Executive Summary

Hiring data is fragmented across dozens of ATS vendors—Greenhouse, Lever, Workday and many smaller systems—so recruiters, internal talent teams and job-seekers lack a single, real-time view of openings and status changes. This causes missed sourcing opportunities and redundant spend: roughly 200,000 mid-to-large employers spend an average of $100,000 annually on recruiting stacks and job-distribution/analytics, yet signals remain siloed. A real-time ATS aggregation API would normalize job and candidate-status data across multiple ATSs via authenticated connectors and webhooks, expose structured signals (skill-match scores, status transitions, freshness) and offer low-latency feeds and historical analytics. To stand out from medium competition and scraping-based alternatives, the product should prioritize enterprise-grade SLAs, per-event webhooks, field-level normalization, and partnerships or certifications with a handful of dominant ATSs to guarantee coverage and reliability. Key challenges include building and maintaining dozens of proprietary integrations, navigating auth and data-consent policies, negotiating commercial agreements with ATS vendors, and delivering predictable uptime—engineering and legal costs will be non-trivial. The timing is favorable—anti-scraping enforcement on platforms and the rise of data-driven sourcing increase willingness to pay for clean, permissioned feeds, and the market size (~$20B, market score 88/100, revenue potential 80/100) signals real commercial opportunity. Pursue this if you can secure 10–20 anchor customers or ATS partnerships within 12 months to amortize build costs; without those early commitments the venture is high-risk and capital-intensive.