Career Site Jobs Scraper — Greenhouse, Lever, Workday & Ashby avatar

Career Site Jobs Scraper — Greenhouse, Lever, Workday & Ashby

Pricing

from $1.50 / 1,000 job scrapeds

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Career Site Jobs Scraper — Greenhouse, Lever, Workday & Ashby

Career Site Jobs Scraper — Greenhouse, Lever, Workday & Ashby

Scrape jobs straight from company career sites: Greenhouse, Lever, Ashby, Workday, Workable, SmartRecruiters, Recruitee, Personio, Teamtailor. Title, location, salary, date, description.

Pricing

from $1.50 / 1,000 job scrapeds

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Developer

Trevor Ortega

Trevor Ortega

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a day ago

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Get every open job straight from a company's own career site. Paste careers pages, company websites or job-board links, and the actor finds the applicant tracking system (ATS) behind them, reads its public job-board API and returns one clean row per job: title, company, department, locations and country, remote/hybrid, employment type, salary range when the company publishes one, posted and updated dates, requisition id, job and apply links, and the full description.

Supported ATSs: Greenhouse, Lever (incl. EU), Ashby, Workday, Workable, SmartRecruiters, Recruitee, Personio and Teamtailor (plus Breezy HR). No login, no API keys, no browser: just the same public JSON/XML feeds the companies' own career pages load, so runs are fast, cheap and stable.

Typical uses: job alerts for target companies, hiring signals for sales and recruiting (who is hiring which roles, where), salary benchmarking, feeding a job board or an LLM pipeline.

What data does Career Site Jobs Scraper extract?

FieldDescription
jobIdStable unique id: <ats>:<board>:<id>, e.g. greenhouse:figma:5426468004
atsJobId, requisitionIdThe ATS's own job id and the company's requisition / reference number (when published)
ats, companyName, companySlug, careerSiteUrlWhich ATS, the company, its board slug and board URL
title, department, teamJob title and the department / team the company files it under
location, locationsLocation as the company writes it, plus every location of multi-location jobs
city, region, country, countryCodeStructured location when the ATS gives it; otherwise the country is read from the location text (ISO code)
isRemote, isHybrid, workplaceTypeRemote / hybrid flags and remote / hybrid / onsite when known
employmentType, seniority, jobFunctionE.g. "Full-time", "Mid-Senior level", "Engineering" (as far as the ATS publishes them)
salaryText, salaryMin, salaryMax, salaryCurrency, salaryPeriod, salarySourcePay range: from the ATS's pay fields (salarySource: "ats", e.g. Greenhouse pay ranges, Ashby compensation, Lever salary range, Personio/Recruitee salary) or from the first pay range written in the description ("description", e.g. "$164,000 - $261,500 annually" on Workday)
postedAt, updatedAt, postedAgoFirst published / last updated (UTC, ISO 8601); postedAgo is Workday's "Posted 3 Days Ago" label
url, applyUrlJob page and application link
description, descriptionHtmlFull description as readable text and as HTML (with Include full job description)
detailsFetched, detailErrorWhether the job's own page was opened (Workday / SmartRecruiters)
sourceUrl, scrapedAtWhich input produced the job, and when
changeTypenew in monitoring mode (see below)

What each ATS publishes differs: Greenhouse has no employment type unless the company adds it as a custom field, Workday's list shows "3 Locations" until the job page is opened, Lever and Workday do not name the company in their API (the actor uses the board name, or the name from the careers page it was found on; set your own with companyName).

How to scrape jobs from company career sites

  1. Paste URLs into Career site or job board URLs. Any of these work:
    • an ATS board: https://job-boards.greenhouse.io/figma, https://jobs.lever.co/palantir, https://jobs.ashbyhq.com/openai, https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite, https://apply.workable.com/huggingface/, https://careers.smartrecruiters.com/BoschGroup, https://tado.jobs.personio.de/, https://bunq.recruitee.com/;
    • a company careers page or homepage: https://linear.app/careers, https://www.palantir.com/ (the actor looks for job links, iframes and embed scripts, follows the "Careers" link and tries /careers and /jobs);
    • a single job URL from a board (the whole board is scraped).
  2. Or list boards you already know under Boards as ats:slug: greenhouse:stripe, lever:palantir, ashby:openai, workable:huggingface, smartrecruiters:BoschGroup, workday:https://salesforce.wd12.myworkdayjobs.com/External_Career_Site.
  3. Optional filters: Title keywords, Locations, Departments, Remote jobs only, Posted within (days), Max jobs per company.
  4. Click Start. Jobs appear in the Output tab, newest first per company; export JSON, CSV or Excel, or use the API.

Input example

{
"startUrls": [
{ "url": "https://job-boards.greenhouse.io/figma" },
{ "url": "https://linear.app/careers" },
{ "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite" }
],
"boards": ["lever:palantir", "ashby:openai", "smartrecruiters:BoschGroup"],
"keywords": ["engineer", "product manager"],
"locations": ["United States", "London", "Remote"],
"postedWithinDays": 14,
"includeDescription": true,
"maxItemsPerCompany": 50,
"maxItems": 500
}

Output example

{
"jobId": "greenhouse:figma:6174190004",
"atsJobId": "6174190004",
"ats": "greenhouse",
"companyName": "Figma",
"companySlug": "figma",
"title": "Early Career, Inside Sales Representative (2027)",
"department": "Early Career",
"location": "San Francisco, CA • New York, NY",
"locations": ["San Francisco, CA", "New York, NY"],
"country": "United States",
"countryCode": "US",
"isRemote": false,
"isHybrid": false,
"salaryText": "$26.96 – $26.96 USD (Hourly Base Pay Range)",
"salaryMin": 26.96,
"salaryMax": 26.96,
"salaryCurrency": "USD",
"salaryPeriod": "hour",
"salarySource": "ats",
"postedAt": "2026-10-11T19:54:43Z",
"updatedAt": "2026-10-11T19:54:43Z",
"requisitionId": "2565",
"url": "https://boards.greenhouse.io/figma/jobs/6174190004?gh_jid=6174190004",
"applyUrl": "https://boards.greenhouse.io/figma/jobs/6174190004?gh_jid=6174190004",
"careerSiteUrl": "https://job-boards.greenhouse.io/figma",
"description": "Figma is growing our team of passionate creatives and builders ...",
"detailsFetched": false,
"sourceUrl": "https://job-boards.greenhouse.io/figma",
"scrapedAt": "2026-10-12T18:09:32Z"
}

A Workday job with descriptions on looks the same, with "ats": "workday", every location (["Georgia - Atlanta", "Illinois - Chicago", "Washington - Seattle", ...]), "employmentType": "Full time", "workplaceType": "hybrid", the exact posting date, "salaryText": "$164,000 - $261,500" read from the description ("salarySource": "description") and "detailsFetched": true.

How to scrape Greenhouse, Lever, Ashby or Workday jobs

Paste the board URL (or greenhouse:<token>, lever:<company>, ashby:<name>). The actor calls each ATS's public posting API: Greenhouse's Job Board API returns the whole board with descriptions and pay ranges in one request, Lever and Ashby likewise (Ashby includes compensation tiers), Workday is read 20 jobs per request from the career site's own JSON endpoint. For Workday you can paste a career-site URL with filters you set on the site (location, job category); they are applied as Workday facets. Lever's EU instance (jobs.eu.lever.co) is detected automatically.

Which ATS does a company use? Can I just give the company website?

Yes. Give the careers page (best) or the homepage. The actor opens it, counts links, iframes and embed scripts that point to a supported ATS and picks the board mentioned most; if the homepage has none it follows the "Careers"/"Jobs" link and tries /careers and /jobs (at most 4 pages per site). The run's SUMMARY (Storage → Key-value store) lists, per input, which board was found and where. Sites built on an unsupported ATS (Taleo, iCIMS, SuccessFactors, custom systems) are reported there and skipped, at no charge.

Does it work without login or API keys?

Yes. Every endpoint is the public job-board feed the ATS offers so companies can show their jobs on their own websites: no account, no API key, no cookies. The actor reads only published job ads. Internal jobs, candidate data and anything behind a login are never touched.

Monitor changes on a schedule

Turn on Only new jobs (monitoring) and save the input as a task with a Schedule (Apify Console → Schedules), e.g. every morning. Each run remembers the jobs earlier runs of the same input returned and outputs only jobs that are new since then, with changeType: "new"; jobs seen before are not output and not charged, and their Workday/SmartRecruiters job pages are not opened. With Max jobs per company, monitoring watches that many newest jobs per company. Use Monitoring key to keep several schedules on the same companies apart. This is the cheapest way to get job alerts or hiring signals for a list of target accounts.

How is this different from career-site job databases?

Some Store actors sell a pre-crawled database of career-site jobs from companies they chose, typically at $0.012 per job. This actor scrapes the companies you bring, live, at the moment you run it, from the ATS itself, at a fraction of the price. If you need "every job posted anywhere in the last hour" without knowing the companies, a database product fits better; if you track a list of companies, this one is fresher and cheaper.

Pricing

Pay per event, no subscription:

  • $0.0015 per job saved (all fields above; descriptions are included at no extra cost for Greenhouse, Lever, Ashby, Workable, Recruitee, Personio, Teamtailor).
  • +$0.001 per job for Workday and SmartRecruiters jobs when Include full job description is on, because their lists have no descriptions and the actor opens each job's page (for Workday this also adds every location, the exact posting date, time type and remote type).

1,000 jobs cost $1.50; 1,000 Workday jobs with descriptions $2.50. Platform usage is tiny (most boards are one request, no proxy traffic). Monitoring runs only charge for new jobs. Inputs that point to no supported board cost nothing.

Proxy note

These are public APIs, so by default the actor connects directly (no proxy), which is also the fastest. Turn on Apify Proxy (datacenter) only if a run log shows 403 or 429 answers; Lever is read directly in any case because its API is very slow through proxies. No residential proxy and no Unblocker are ever needed.

Integrations and API

Use the results in Make, Zapier, n8n, Google Sheets, Airtable or your CRM, or call the actor from Python / Node.js with the Apify client (see the API tab). A Schedule plus monitoring gives you a daily feed of new jobs at your target companies.

The actor reads only job ads that companies publish openly on their career sites through their ATS's public job-board feed. It does not log in, does not collect candidate or employee data, and does not access anything hidden or internal. Recruiter names that a company chooses to print in a job description stay part of that description. You are responsible for how you use the data and for complying with the sites' terms and applicable law (e.g. the GDPR).

Support

Missing an ATS, a field or a company that does not work? Open an issue in the Issues tab; it is usually answered within a day.