Greenhouse, Lever, Ashby & SmartRecruiters Jobs Scraper

Pull every open job from company career pages that run on Greenhouse, Lever, Ashby, Workable or SmartRecruiters. Paste a careers URL or write greenhouse:stripe and get clean, uniform job data: title, location, remote flag, department, posting date, salary range and the full description.

No proxies, no browser and no login. It reads the public job board APIs these platforms publish, so runs are fast and cheap.

Quick start

1. Paste one or more careers URLs into Companies, for example https://jobs.ashbyhq.com/ramp.
2. Optionally add title or location keywords, or tick Remote only.
3. Click Start. A board with a few hundred jobs finishes in seconds. Download the results as JSON, CSV or Excel, or pull them through the Apify API.

Why this scraper

• Five platforms, one schema. Greenhouse, Lever, Ashby, Workable and SmartRecruiters all come back in the same shape.
• Only new jobs. Schedule it daily and pay only for postings that appeared since the last run.
• Salary included. Structured pay where the platform provides it, plus a careful scan of the description where it doesn't.
• Stable. It uses the platforms' official public job feeds, not page scraping, so a careers page redesign doesn't break it.
• Fair pricing. You pay per job returned, with platform usage included.

Who it is for

• Job seekers who want every opening at their dream companies in one place. Add the companies, filter by title, location or remote, and schedule it daily to see only new postings, with salary ranges included.
• Recruiters and sourcers tracking which teams at target companies are hiring.
• Job boards and aggregators that need a steady feed of fresh listings in one schema.
• Sales and BizDev teams using hiring as a buying signal (a company hiring five data engineers is shopping for data tools).
• Analysts and researchers studying hiring trends, remote work and pay transparency.

What you get

• One schema across all five platforms, so you never write per-ATS parsing.
• Salary min, max, currency and period, from the ATS's structured compensation when available (Ashby, Lever) and otherwise from a conservative scan of the description. Left empty when unsure.
• Filters for title keywords, location keywords and remote-only.
• Only new jobs mode: run it on a schedule and receive only listings you have not seen before.
• A company that does not exist is skipped with a warning. It never fails the run.

Supported platforms and URL formats

Platform	Careers URL examples	Shorthand
Greenhouse	boards.greenhouse.io/stripe, job-boards.greenhouse.io/stripe	greenhouse:stripe
Lever	jobs.lever.co/palantir	lever:palantir
Ashby	jobs.ashbyhq.com/ramp	ashby:ramp
Workable	apply.workable.com/blueground	workable:blueground
SmartRecruiters	jobs.smartrecruiters.com/Canva	smartrecruiters:Canva

Companies that use a custom careers domain (for example stripe.com/jobs) need the ats:slug form. The slug is the name in the company's job board URL.

Input

Field	Type	Description
companies	array of strings	Careers URLs or ats:slug pairs. Required.
titleKeywords	array of strings	Keep jobs whose title contains any keyword (case-insensitive).
locationKeywords	array of strings	Keep jobs whose location contains any keyword (case-insensitive).
remoteOnly	boolean	Keep only jobs the ATS marks as remote. Default false.
includeDescription	boolean	Add plain-text description to each result. Default true.
onlyNewSinceLastRun	boolean	Return only jobs not delivered by an earlier run. Default false.

Example: all engineering jobs in Europe

{
  "companies": ["greenhouse:stripe", "https://jobs.lever.co/palantir", "https://jobs.ashbyhq.com/ramp"],
  "titleKeywords": ["engineer", "developer"],
  "locationKeywords": ["london", "dublin", "berlin"]
}

Example: daily feed of new remote jobs

{
  "companies": ["ashby:ramp", "lever:palantir"],
  "remoteOnly": true,
  "includeDescription": false,
  "onlyNewSinceLastRun": true
}

Schedule this one daily. Seen job IDs are stored per company in the named key-value store ats-jobs-seen, so each run returns only listings that appeared since the last one. Only jobs that were delivered are remembered, so changing your filters later will not hide jobs you never received.

Output

One dataset item per job:

{
  "ats": "ashby",
  "company": "ramp",
  "companyName": "ramp",
  "jobId": "34413f8d-26bf-4bbc-8ade-eb309a0e2245",
  "title": "Security Engineer, Cloud",
  "url": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245",
  "applyUrl": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245/application",
  "location": "New York, NY (HQ)",
  "isRemote": true,
  "department": "Engineering",
  "team": "Backend",
  "employmentType": "FullTime",
  "postedAt": "2026-04-07T17:12:35.753Z",
  "updatedAt": null,
  "salaryMin": 211400,
  "salaryMax": 290600,
  "salaryCurrency": "USD",
  "salaryPeriod": "year",
  "salarySource": "structured",
  "descriptionText": "...",
  "scrapedAt": "2026-10-18T21:11:12.043Z"
}

Field notes:

• isRemote is true, false or null when the ATS does not say. remoteOnly keeps only true.
• salarySource is structured (from the ATS's compensation data), description (parsed from the text) or null.
• updatedAt is filled where the ATS exposes it (Greenhouse). companyName is the real name where the ATS provides it, otherwise the slug.
• With includeDescription off, descriptionText is null. SmartRecruiters needs one extra request per job to read descriptions and pay, so turning descriptions off makes large SmartRecruiters boards much faster, but salary is then not extracted for them.

Use it from code

Run it and get the jobs back in one HTTP call:

curl -X POST "https://api.apify.com/v2/acts/datadock~ats-jobs-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies": ["ashby:openai", "greenhouse:anthropic"], "includeDescription": false}'

Or with the JavaScript client:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('datadock/ats-jobs-scraper').call({
  companies: ['ashby:openai', 'greenhouse:anthropic'],
  onlyNewSinceLastRun: true,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

AI agents can call it through the Apify MCP server as a tool for fetching live job data.

Pricing

$1.50 per 1,000 job listings. You pay only for jobs returned. Platform usage is included, with no extra compute charges.

You pull	You pay
100 jobs	$0.15
1,000 jobs	$1.50
10,000 jobs	$15.00

A tiny start fee of $0.00005 applies per run. With onlyNewSinceLastRun, repeat runs return only new postings, so a daily check costs a few cents.

The Actor stops pushing jobs as soon as your maximum charge per run is reached.

Limits

• Only jobs published on the public board are returned. Unlisted or internal postings are not visible.
• Boards with thousands of jobs (for example Bosch on SmartRecruiters) take longer with descriptions on.
• Salary parsing is deliberately conservative. A missing salary means none was found with confidence, not that none exists.

Is it legal to scrape job postings from Greenhouse, Lever and Ashby?

Scraping publicly available data is generally legal, and job postings are data companies publish on purpose so candidates can find them. This Actor reads the public job board APIs that Greenhouse, Lever, Ashby, Workable and SmartRecruiters provide for exactly that. It does not log in and does not collect private data such as applicant details or email addresses.

Job descriptions can occasionally mention a person, such as a hiring manager. Personal data is protected by GDPR in the European Union and other laws around the world, so don't process it without a legitimate reason. If you're unsure whether your use is legitimate, consult your lawyers. You can also read Apify's blog post on the legality of web scraping.

FAQ

How do I find a company's slug? Open the company's job board and look at the URL. In jobs.lever.co/palantir the slug is palantir. If the company's careers page sits on its own domain, click any job's Apply link, which usually reveals the platform URL.

Can I feed results into Google Sheets, Slack or my CRM? Yes. Use Apify's built-in integrations (Zapier, Make, webhooks) or the API on the Actor's dataset.

My company's platform isn't supported. Open an issue with the careers URL. Requests decide which platform gets added next.

Feedback and support

Found a bug, a missing field or a board that doesn't work? Open an issue on the Issues tab. Issues are answered quickly, and requests decide what gets built next.