Company Career Page & ATS Jobs API

Get job postings straight from the source — company career pages and ATS boards — normalized into one clean schema. No LinkedIn/Indeed middlemen, no stale aggregator data. Built for HR-tech, talent intelligence, VC deal sourcing, and AI agents.

Supported platforms

ATS	Example URL	Notes
Greenhouse	https://boards.greenhouse.io/anthropic	Thousands of tech companies
Ashby	https://jobs.ashbyhq.com/OpenAI	Fast-growing startup standard
Workday	https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite	Enterprise / Fortune 500
Lever	https://jobs.lever.co/{company}	Tech mid-market
SmartRecruiters	https://careers.smartrecruiters.com/BoschGroup	Enterprise EU/US

Just paste the careers URL — the Actor detects the ATS automatically.

Why career-page data beats job boards

• First-party and complete: every opening the company publishes, days before aggregators pick it up
• Company-centric: pass a list of target companies (competitors, portfolio companies, prospects) and get their full hiring picture
• Monitoring built in: scheduled runs detect new postings — feed them to Slack, your CRM, or an AI agent via webhook

Input

Field	Type	Default	Description
companies	array	(required)	Careers page URLs (or {url, label} objects)
includeDescription	boolean	false	Fetch full job description text + HTML
maxJobsPerCompany	integer	0	Cap jobs per company (0 = unlimited)
onlyNewJobs	boolean	false	Monitoring mode: output only jobs not seen in previous runs
stateStoreName	string	ats-jobs-state	Where seen-job state persists between runs

Output (one item per job)

{
  "company": "Anthropic",
  "ats": "greenhouse",
  "jobId": "5274711008",
  "title": "Account Executive, Nonprofits & Higher Education - APAC",
  "location": "Sydney, Australia",
  "department": "Sales",
  "employmentType": "Full-time",
  "workplaceType": null,
  "url": "https://job-boards.greenhouse.io/anthropic/jobs/5274711008",
  "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5274711008",
  "postedAt": "2026-06-15T00:00:00.000Z",
  "descriptionText": "...(if enabled)",
  "firstSeenAt": "2026-07-20T...",
  "isNew": true,
  "scrapedAt": "2026-07-20T..."
}

Pricing (pay per event)

• Job scraped: $0.004 per job returned
• Company monitored: $0.02 per company processed (includes state tracking)

A typical monitoring run — 50 companies, ~2,000 jobs — costs ~$9 first run, then near-zero until new postings appear (only new jobs are charged with monitoring mode on... see note below).

Note: with onlyNewJobs: true, only newly posted jobs are pushed and charged — recurring weekly runs stay cheap.

Integrations

• API: call via Apify API, get JSON/CSV/Excel
• Webhooks: on run finish → push new jobs to Slack, Make, n8n, Zapier
• Schedules: weekly/daily monitoring out of the box
• MCP: works as a tool for AI agents via the Apify MCP server

Use cases

• Track competitor hiring (departments, locations, seniority)
• Talent-intelligence and HR-tech data feeds
• VC/investor signals: headcount growth, new offices, hiring freezes
• Job-board backfill with first-party employer data
• Sales triggers: companies hiring for a role = budget for adjacent tools