Marketplace/predictleads/get_company_job_openings

predictleads/get_company_job_openings

Retrieve currently open and historical job postings for a company, sourced directly from its career site. Useful as a hiring signal and to infer team focus, growth, and geographic expansion.

by Faro

50 credits / call ($0.05)
charged on success

What it does

Returns currently advertised and historical job postings for a given company domain, scraped directly from its career site. Each record includes role title, full description, location, posted date, ONET code, and category metadata.

Primary use cases

  • Sales teams scoring accounts by hiring velocity and detecting expansion into new geographies or product lines before competitors do.
  • Recruiters building talent-market maps, sourcing intelligence on competitor hiring, and powering job-aggregation platforms with structured listings.
  • Investors monitoring portfolio companies and tracking headcount growth as a leading indicator of revenue traction.
  • Competitive-intelligence analysts inferring strategic priorities (AI hires, regional offices, GTM build-out) from the shape of open roles.

Why use this tool

Postings are sourced first-party from career pages rather than aggregator scrapes, so titles and descriptions are clean and complete. Historical coverage going back to 2016 lets AI agents compute time-series hiring signals, not just point-in-time snapshots. Output is fully structured and source-cited, making it easy to feed into account-scoring models or CRM enrichment pipelines.

Good to know

Query by root domain (e.g. pipedream.com). Results are paginated at up to 100 records per page; iterate with the page parameter for companies with deep hiring history.

Parameters

pageintegeroptionaldefault: 1

1-indexed page number.

limitintegeroptionaldefault: 25

Page size.

domainstringrequired

Company root domain, e.g. "pipedream.com".

predictleads/get_company_job_openings — Faro