Greenhouse, Lever, Ashby & Workable Scraper avatar

Greenhouse, Lever, Ashby & Workable Scraper

Pricing

from $1.20 / 1,000 job postings

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Greenhouse, Lever, Ashby & Workable Scraper

Greenhouse, Lever, Ashby & Workable Scraper

Extract job postings from company career pages hosted on Greenhouse, Lever, Ashby or Workable in one run: title, department, location, remote policy, employment type and full description.

Pricing

from $1.20 / 1,000 job postings

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0.0

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Developer

Vivien MORVAN

Vivien MORVAN

Maintained by Community

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0

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2

Total users

1

Monthly active users

2 days ago

Last modified

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Extract job postings from company career pages hosted on Greenhouse, Lever, Ashby or Workable in a single run, and get clean structured data: title, department, location, remote policy, employment type and full description — no browser, no login, across all four ATS at once.

What you can do with it

  • Monitor several companies' hiring at once, whatever ATS each one happens to use, from one run instead of four separate tools.
  • Feed a job alert or an aggregator: run it daily and dedupe against your own store by id.
  • Track a sector's hiring: list every open role for a group of companies you follow.
  • Benchmark remote policy and employment types across companies and platforms.

Input

FieldWhat it does
Greenhouse boardsBoard tokens, for example airbnb from boards.greenhouse.io/airbnb.
Lever boardsCompany slugs, for example palantir from jobs.lever.co/palantir.
Ashby boardsJob board names, for example ramp from jobs.ashbyhq.com/ramp.
Workable boardsAccount shortcodes, for example huggingface from apply.workable.com/huggingface.
Maximum number of postingsThe run stops once this many postings are saved, across all boards combined.
Include full descriptionsAdds the full job description as plain text.

Leave every board list empty to run a small default set spanning all four platforms.

Output

One record per posting:

{
"id": "greenhouse:webflow:8360279",
"platform": "greenhouse",
"company": "webflow",
"title": "Account Executive, EMEA",
"department": "Sales",
"location": "London, United Kingdom",
"remote": null,
"employmentType": null,
"publishedAt": "2026-09-18T09:00:00-07:00",
"updatedAt": "2026-09-30T12:00:00-07:00",
"url": "https://job-boards.greenhouse.io/webflow/jobs/8360279",
"description": "…"
}

Export the dataset as JSON, CSV or Excel, or read it through the Apify API.

Why this one

  • One run, four ATS. Most scrapers on the Store cover a single platform; this one normalizes Greenhouse, Lever, Ashby and Workable into the same schema.
  • No login, no browser. Every platform publishes a public job board API; this Actor only reads it.
  • Unknown board slugs don't fail the run. A typo in one company's slug logs a warning and the others still come through.

Good to know

  • remote is read from each platform's own field (Lever's workplaceType, Ashby's isRemote, Workable's telecommuting) where available. Greenhouse does not expose it in a consistent way across companies, so it is always null there — this is not a bug, it reflects what Greenhouse publishes.
  • updatedAt is only published by Greenhouse; it is null on the other three platforms.
  • A board slug that does not exist on its platform is skipped with a warning in the log, not a failure.
  • No browser and no proxy needed: runs are fast and cheap.
  • The dataset contains job postings only: the hiring company is named, never an individual recruiter or candidate.