note
Stapply Data: open job-market datasets across 15 ATS platforms
From Stapply Data
Stapply Data publishes open snapshots of jobs and companies aggregated across 15 ATS platforms — Ashby, Greenhouse, Lever, Workday, and others — as free CSV or Parquet downloads. The dataset is produced by ats-scrapers, an open-source Python toolkit: 4.2M+ live jobs from 63,000+ companies across 49 sources, with more than 50 reusable scraper adapters.
Why this matters for the recruitment-agent thread:
- Raw signal, not LinkedIn noise. Most job discovery today is either keyword search on aggregators or recruiter spam. A clean, downloadable dataset of actual open roles is the kind of structured input an agent can reason over without scraping.
- ATS-agnostic view. Because it spans 15+ platforms, it avoids the trap of building against just one vendor’s API. An agent could normalize location, salary, seniority, and skills across Greenhouse, Ashby, Lever, Workday, SmartRecruiters, SuccessFactors, etc.
- Toolkit, not just data.
ats-scrapersprovidessearch(),find_company(), and per-ATS scraper classes with a normalizedJobschema. You can query the hosted dataset with no API key or run the scrapers yourself. - Perfect fuel for a “Jack”-style candidate agent. Drop the dataset into a local vector store or feed it to an agent that ranks roles by fit, flags stale postings, and surfaces roles that never reach LinkedIn.
- Complements the MCP idea. A hiring platform with an MCP could expose its own live openings; Stapply provides the aggregated baseline for discovery when no such interface exists yet.
The Stapply site is a JS-rendered SPA, so the ingestion only captured its shell and meta description. The GitHub repo fills in the actual scale, architecture, and API surface.
(sources: Stapply Data, kalil0321/ats-scrapers)