Greenhouse, Lever, Ashby & SmartRecruiters Jobs Scraper API avatar

Greenhouse, Lever, Ashby & SmartRecruiters Jobs Scraper API

Pricing

$1.50 / 1,000 job results

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Greenhouse, Lever, Ashby & SmartRecruiters Jobs Scraper API

Greenhouse, Lever, Ashby & SmartRecruiters Jobs Scraper API

Scrape live jobs from Greenhouse, Lever, Ashby & SmartRecruiters career sites via their official APIs. One schema with salary, remote, location & department filters, plus only-new-jobs alerts. No login or proxies. $1.50 per 1,000 jobs.

Pricing

$1.50 / 1,000 job results

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Get live job listings straight from companies' own career sites. This Actor reads the official public job-board APIs of Greenhouse, Lever, Ashby and SmartRecruiters and returns every posting in one clean, normalized schema: title, department, location, remote flag, salary range, posted date, apply link and full description.

  • ✅ No login, no cookies, no proxies, no browser. Just JSON APIs, so runs are fast and cheap.
  • 🔔 Only-new-jobs mode turns a daily schedule into a job alert feed that never repeats a posting.
  • 💲 $1.50 per 1,000 jobs, no start fee, no monthly rental. Apify compute is included.

What does this jobs scraper do?

Give it a list of company career pages or slugs (stripe, jobs.lever.co/spotify, jobs.ashbyhq.com/ramp). It:

  1. finds the right job board for each company (bare slugs are auto-detected across all 4 ATSs);
  2. downloads every open job from the official board API;
  3. filters by title keywords, excluded words, location, department, remote only and posted within N days;
  4. saves one row per job in the same format for every ATS.

In two test runs on the Apify platform on 2026-10-27, the default input (Airbnb on Greenhouse, Spotify on Lever, Ramp on Ashby) returned 452 jobs in 3 to 15 seconds of run time, 166 of them with a published salary range.

Why use it?

  • 🏢 4 applicant tracking systems in one Actor and one schema: Greenhouse (boards.greenhouse.io, job-boards.greenhouse.io), Lever (jobs.lever.co, jobs.eu.lever.co), Ashby (jobs.ashbyhq.com) and SmartRecruiters (careers.smartrecruiters.com, jobs.smartrecruiters.com).
  • 💰 Salary data where employers publish it: Ashby compensation, Lever salaryRange and Greenhouse pay-transparency ranges (optional).
  • 🆕 Only-new-jobs memory per saved search (stateKey), built for schedules and alerts.
  • 🎯 First-party data: postings come from the employer's own ATS, and applyUrl points to the employer's real application form, not a reposting site.
  • 🔌 Works everywhere Apify works: API, webhooks, Zapier, Make, n8n, Google Sheets, Slack, and AI agents through the Apify MCP server.

Use cases

  • Job alerts: new roles at your target companies every morning, by email, Slack or Google Sheets.
  • Job boards and niche aggregators: feed your site with fresh, de-duplicated jobs from hundreds of companies.
  • Recruiting and talent intelligence: see which teams competitors are hiring for, and where.
  • Sales and investor signals: hiring spikes in a department are a buying or growth signal.
  • Salary benchmarking: collect published pay ranges by title, location and company.
  • Labor-market research: build datasets of postings over time.

How to use it

  1. Click Try for free.
  2. In Companies, add one per line:
    • a career-page URL, e.g. https://boards.greenhouse.io/airbnb, https://jobs.lever.co/spotify, https://jobs.ashbyhq.com/ramp, https://careers.smartrecruiters.com/BoschGroup;
    • or source:slug, e.g. greenhouse:stripe, lever:spotify, ashby:ramp, smartrecruiters:BoschGroup;
    • or a bare slug such as stripe, which is auto-detected.
  3. Optionally add filters: title keywords, locations, departments, remote only, posted within days.
  4. Click Start. Download JSON, CSV, Excel or XML, or read results through the Apify API.
  5. For daily alerts: turn on Only jobs not seen in previous runs, give the search a memory name, and add a Schedule.

Input example

{
"companies": ["greenhouse:airbnb", "https://jobs.lever.co/spotify", "ashby:ramp", "stripe"],
"titleKeywords": ["engineer", "data scientist"],
"excludeTitleKeywords": ["intern"],
"locations": ["remote", "new york", "london"],
"postedWithinDays": 14,
"onlyNewJobs": true,
"stateKey": "my-daily-engineering-alert"
}

Output example

A real record from the test run on 2026-10-27 (description shortened):

{
"id": "ashby:ramp:34413f8d-26bf-4bbc-8ade-eb309a0e2245",
"source": "ashby",
"companySlug": "ramp",
"company": "ramp",
"title": "Security Engineer, Cloud",
"department": "Engineering",
"team": "Backend",
"location": "New York, NY (HQ)",
"allLocations": ["New York, NY (HQ)", "Remote (Canada)", "Remote (US)", "Miami, FL"],
"country": "USA",
"isRemote": false,
"workplaceType": "hybrid",
"employmentType": "Full-time",
"postedAt": "2026-04-07T17:12:35.753000Z",
"updatedAt": null,
"url": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245",
"applyUrl": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245/application",
"salaryMin": 211400,
"salaryMax": 290600,
"salaryCurrency": "USD",
"salaryInterval": "year",
"salaryText": "$211.4K - $290.6K",
"descriptionText": "ABOUT RAMP\n\nRamp is building the smart infrastructure for finance teams …",
"sourceApiUrl": "https://api.ashbyhq.com/posting-api/job-board/ramp",
"scrapedAt": "2026-10-27T14:44:50.897259Z"
}

Every item has the same fields:

GroupFields
Identityid, source, companySlug, company
Roletitle, department, team, employmentType
Locationlocation, allLocations, country, isRemote, workplaceType
DatespostedAt, updatedAt
Linksurl, applyUrl
SalarysalaryMin, salaryMax, salaryCurrency, salaryInterval, salaryText
DescriptiondescriptionText, optional descriptionHtml
ProvenancesourceApiUrl, scrapedAt

A field the source doesn't provide is null. Each run also writes a RUN_SUMMARY record to the key-value store with jobs found and matched per company, plus any boards that weren't found.

How much does it cost?

$1.50 per 1,000 jobs saved ($0.0015 per job), with no start fee and no monthly rental. Apify platform compute is included in the price, so you pay only for results.

  • Boards with no matching jobs cost nothing, and jobs removed by your filters aren't charged.
  • Example: a daily alert that returns 40 new jobs costs about $0.06 a day.
  • Set a maximum cost per run and the Actor stops cleanly at your limit.

The Pricing tab always shows the current price.

How it compares

This ActorLinkedIn / Indeed job scrapersSingle-ATS scrapers
Data sourceEmployer's own ATS, via its official public APIJob-board pagesOne ATS's API
Login, cookies or proxiesNoneOften proxiesUsually none
ATSs coveredGreenhouse, Lever, Ashby, SmartRecruitersn/aOne
Jobs only posted on LinkedIn / Indeed❌ Not covered✅❌
Workday, iCIMS, Taleo❌ Not coveredn/aDepends

Choose this Actor when you know which companies you care about and want first-party, low-cost, repeatable data. Choose a LinkedIn or Indeed scraper when you need to search the whole market by keyword.

This Actor reads only published job postings through the public job-board APIs that Greenhouse, Lever, Ashby and SmartRecruiters provide for career sites. It doesn't log in, bypass access controls or collect candidate data. Lever's Postings API documentation notes that published postings are publicly viewable and may be accessed by third parties.

You are responsible for how you use the data, including attribution and the rules of the companies whose jobs you republish. If unsure, consult a lawyer.

FAQ

How do I find a company's slug? Open its careers page. The slug is the path segment after the ATS host: in jobs.lever.co/spotify it's spotify, in boards.greenhouse.io/airbnb it's airbnb. You can also paste the whole URL.

Does it support Workday, iCIMS, Taleo or LinkedIn? No. It covers only ATSs with an official public job-board API, which keeps it fast, reliable and proxy-free.

Why do some jobs have no salary? Employers decide whether to publish pay. Salary appears when the ATS API exposes it. For Greenhouse, turn on Fetch Greenhouse pay ranges.

How do I get only new jobs every day? Turn on onlyNewJobs, pick a stateKey, and schedule the Actor. Each stateKey keeps its own memory of jobs already seen.

How fast is it? The default input (3 large companies, 452 jobs) finished in 3 to 15 seconds of run time in two runs on 2026-10-27. Long company lists take longer; maxConcurrency controls how many boards are fetched at once.

Can I use it with the API, Zapier, Make, n8n or an AI agent? Yes. Every Apify integration, webhook and the Apify MCP server work with it.

A company I need doesn't work. Check that its careers page is on one of the 4 supported ATSs. If it is and still fails, open an issue on the Issues tab with the URL.