Job Listings API — Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee career sites

For recruiters, sales-intelligence teams and job-board builders who need open jobs from many companies without writing one scraper per ATS. Paste career-site URLs or just company names — the Actor finds which ATS each company uses and returns every open job in one unified format. $1.00 per 1,000 jobs, pay only for jobs returned.

• 6 ATS in one Actor: Greenhouse, Lever (US & EU), Ashby, Workable, SmartRecruiters, Recruitee
• Official public job board APIs — the same feeds companies use to power their own career pages. No login, no proxies, no blocking.
• Unified fields: title, department, team, location(s), country, remote / workplace type, employment type, posted date, job & apply URL, salary when the company publishes it (Ashby, Lever, Recruitee), plain-text description.
• Filters: title keywords, locations, remote only, posted within N days, max jobs per company.
• $1.00 per 1,000 jobs. You pay only for jobs returned.

Input

{
  "companies": ["https://boards.greenhouse.io/airbnb", "lever:palantir", "ashby:ramp", "Notion"],
  "titleKeywords": ["engineer", "data"],
  "locations": ["United States", "Remote"],
  "postedWithinDays": 30
}

companies accepts:

• a career site URL: boards.greenhouse.io/<co>, job-boards.greenhouse.io/<co>, jobs.lever.co/<co>, jobs.ashbyhq.com/<co>, apply.workable.com/<co>, jobs.smartrecruiters.com/<Co>, <co>.recruitee.com
• ats:slug, e.g. greenhouse:stripe
• a company name, e.g. Notion — we try every supported ATS (takes a few more seconds)

Output (one item per job)

{
  "company": "Ramp", "ats": "ashby", "boardSlug": "ramp", "jobId": "…",
  "title": "Senior Software Engineer, Backend", "department": "Engineering", "team": "Platform",
  "location": "New York, NY", "locations": ["New York, NY", "San Francisco, CA"], "country": "USA", "countryCode": "US",
  "remote": false, "workplaceType": "hybrid", "employmentType": "FULL_TIME", "employmentTypeRaw": "FullTime",
  "postedAt": "2026-10-01T15:04:05Z", "updatedAt": null,
  "url": "https://jobs.ashbyhq.com/ramp/…", "applyUrl": "https://jobs.ashbyhq.com/ramp/…/application",
  "salaryMin": 180000, "salaryMax": 250000, "salaryCurrency": "USD", "salaryInterval": "year", "salaryIntervalRaw": "1 YEAR",
  "salaryText": "$180K – $250K", "descriptionText": "…", "descriptionTruncated": false
}

Normalized across all ATS: countryCode (ISO 3166-1 alpha-2), employmentType (FULL_TIME, PART_TIME, CONTRACT, TEMPORARY, INTERN, OTHER), workplaceType (remote, hybrid, onsite), salaryInterval (hour, day, week, month, year), numeric salaries, trimmed text. The original values are kept in *Raw fields and country. When an ATS does not return a company name (Lever, Ashby), company is derived from the board name. Fields an ATS does not provide are null. A per-company summary (found / not found, jobs on board, jobs returned) is saved to the key-value store as SUMMARY.

Pricing

Pay per event: $0.001 per job returned ($1.00 per 1,000). Filters are applied before charging. Set a max charge per run in the run options to cap spend.

Use cases

• Hiring-signal and sales-intelligence feeds (which companies are hiring for what)
• Job boards and niche job aggregators
• Labour-market and compensation research
• Competitor hiring tracker: run weekly on a fixed company list, filter by titleKeywords

Notes

• Data comes only from public job board APIs that companies publish for their own career pages. No personal data is collected.
• SmartRecruiters does not include descriptions in its list API, so descriptionText is empty for SmartRecruiters jobs.
• descriptionText and descriptionHtml are each cut at 30,000 characters; when that happens the text ends with … and descriptionTruncated is true.
• Not affiliated with any ATS vendor.

More tools from the same developer

• Job Postings Normalizer — unify fields, salaries and dates from any job scraper and remove duplicates
• Dataset Merge & Dedup — merge Apify datasets and remove duplicates by the fields you choose
• Google Sheets Export — export an Apify dataset to Google Sheets