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Greenhouse & Lever Hiring Signals Scraper

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Greenhouse & Lever Hiring Signals Scraper

Greenhouse & Lever Hiring Signals Scraper

Turn public job boards into hiring signals with department, seniority, and tech-stack tags.

Pricing

Pay per usage

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Developer

Kelsey Todd

Kelsey Todd

Maintained by Community

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2

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1

Monthly active users

2 days ago

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Turn public Greenhouse and Lever job boards into a clean hiring-signal dataset instead of a raw job export.

What it does

  • Pulls jobs directly from public Greenhouse and Lever board APIs.
  • Normalizes titles, locations, team names, commitment, and apply URLs.
  • Infers department and seniority from the role title and description.
  • Tags common stack and buying signals like power_bi, microsoft_fabric, azure, and finance_systems.
  • Adds board-level context such as total jobs, finance job count, data job count, engineering job count, and recent posting volume.
  • Adds job_signal_headline, workflow_pain_summary, automation_hint, and workflow_pressure_score to make rows easier to act on.
  • Writes a HIRING_SIGNAL_BRIEF.md artifact summarizing the strongest boards in the run.
  • Produces flat output that is easy to export into CSV, Sheets, Airtable, or downstream lead-scoring workflows.

Best fit

  • agencies tracking hiring signals across target accounts
  • sales teams looking for timing signals from finance or data hiring
  • analysts mapping job boards into structured ICP signals
  • RevOps teams enriching company-level hiring data without building custom parsers