ATS Jobs Search: Greenhouse, Lever, Ashby, Workable & more avatar

ATS Jobs Search: Greenhouse, Lever, Ashby, Workable & more

Pricing

from $1.00 / 1,000 job saveds

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ATS Jobs Search: Greenhouse, Lever, Ashby, Workable & more

ATS Jobs Search: Greenhouse, Lever, Ashby, Workable & more

Search 420,000+ open jobs from ~8,000 companies' own career boards on Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee and Personio. Or paste any careers page. One clean schema with salary, remote flag and full descriptions. $1 per 1,000 jobs.

Pricing

from $1.00 / 1,000 job saveds

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ATS Jobs Search: Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee & Personio

Get job postings straight from company career boards, in one clean format, without logins, browsers or proxies.

This actor reads the public job board feeds of the seven most common applicant tracking systems (ATS):

PlatformExample board
Greenhousehttps://boards.greenhouse.io/stripe
Leverhttps://jobs.lever.co/spotify
Ashbyhttps://jobs.ashbyhq.com/ramp
Workablehttps://apply.workable.com/huggingface
SmartRecruitershttps://jobs.smartrecruiters.com/BoschGroup
Recruiteehttps://bunq.recruitee.com
Personiohttps://n26.jobs.personio.de

Search ~7,900 companies and 420,000+ open jobs in seconds with the built-in company directory, refreshed daily, or point it at any company's careers page.

Because the data comes from the employer's own ATS, it is fresher and more complete than job aggregators: real apply links, departments, remote flags, salary ranges where the company publishes them, and full descriptions.

What you can do with it

  • Track hiring at a list of companies. Paste careers page URLs or company names, get every open role.
  • Search thousands of companies at once. Turn on Search the company directory and filter by title keywords, location and remote. A search across all ~420,000 indexed jobs takes a few seconds. Good for job seekers, recruiters and job boards.
  • Monitor new postings. Turn on Only new jobs, schedule a daily run, and you only get (and only pay for) jobs you haven't seen before.
  • Sales and market signals. Who is hiring "RevOps", "Head of Security" or "Kubernetes" engineers right now? Hiring is one of the best buying-intent signals.
  • Feed AI agents and LLM pipelines. Plain-text descriptions and a stable schema make it easy to classify, summarise or match jobs.

Input

You can mix any of these in Companies:

  • A careers page on the company's own site, e.g. https://www.notion.so/careers. The actor finds the embedded Greenhouse/Lever/Ashby/etc. board for you.
  • A job board URL, e.g. https://jobs.lever.co/spotify.
  • A company name, e.g. Stripe. The actor looks it up in its directory, then tries each platform.
  • An exact platform:slug, e.g. ashby:ramp or smartrecruiters:BoschGroup.

Filters (all optional): title keywords, excluded keywords, locations, remote only, departments, posted within N days. Keywords match whole words in any order, so data engineer finds "Senior Data Platform Engineer".

Example input:

{
"companies": ["https://www.notion.so/careers", "spotify", "ashby:ramp"],
"keywords": ["product designer", "design engineer"],
"remoteOnly": true,
"includeDescription": true
}

Search the directory for remote ML roles posted this week:

{
"searchDirectory": true,
"keywords": ["machine learning", "ml engineer"],
"locations": ["remote", "united states"],
"postedWithinDays": 7,
"maxJobs": 500
}

Output

One row per job, the same fields for every platform:

{
"platform": "ashby",
"companyName": "Vitalize",
"companySlug": "vitalize",
"jobId": "468caa64-309e-44d0-b539-54c9fd5ff8d4",
"title": "Staff Product Designer",
"department": "Product & Eng",
"team": "Design",
"location": "San Francisco HQ",
"locations": ["San Francisco HQ"],
"isRemote": false,
"workplaceType": "hybrid",
"employmentType": "FullTime",
"salary": { "min": 230000, "max": 250000, "currency": "USD", "interval": "year", "text": "$230K – $250K • Offers Equity" },
"postedAt": "2026-10-13T15:31:15.314Z",
"url": "https://jobs.ashbyhq.com/vitalize/468caa64-309e-44d0-b539-54c9fd5ff8d4",
"applyUrl": "https://jobs.ashbyhq.com/vitalize/468caa64-309e-44d0-b539-54c9fd5ff8d4/application",
"description": "Vitalize is ...",
"scrapedAt": "2026-10-13T23:06:21.000Z"
}

Fields a platform doesn't publish are null. Salary is filled when the employer publishes it (common on Ashby, Lever, Recruitee and US Greenhouse boards). Export to JSON, CSV, Excel, or pull it through the Apify API, MCP server, Zapier, Make or n8n.

Pricing

Pay per result:

  • $1.00 per 1,000 jobs saved to the dataset.
  • $0.02 per run that uses directory search (covers the daily index of ~8,000 company boards).

Plain company lookups have no start fee. Use Max jobs or your run's maximum cost to cap spend; the actor stops cleanly at the limit. With Only new jobs, repeat runs only charge for postings you haven't received before.

Tips

  • Directory search without descriptions returns results from the daily index almost instantly. With descriptions on, the actor re-checks only the matching companies live, so closed jobs are dropped and you get the full text.
  • scrapedAt tells you when a row was fetched (the index time for directory results without descriptions).
  • Personio and Recruitee are popular with European companies; Greenhouse, Lever and Ashby with US tech companies.
  • If a company isn't found by name, paste its careers page URL instead.

FAQ

Is this legal? The actor only reads public job board feeds that employers publish for job seekers and partner sites. It does not log in, bypass protections, or collect applicant data. Job descriptions are the employers' content; respect their terms when republishing.

My company isn't in the directory. Pass its careers page or board URL in Companies; any public board on the seven platforms works, directory or not. You can also request it in the Issues tab and we'll add it.

Need another ATS (Workday, iCIMS, Teamtailor, BambooHR…)? Request it in the Issues tab; the most-requested platforms get added first.

About Siftwright

Siftwright is a small data-tools studio. Tools are built and maintained with AI-powered tooling and monitored daily. Bug reports and feature requests are welcome in the Issues tab.