Career Site Job Scraper — Greenhouse, Lever, Ashby + 6 More ATS

Scrape job listings straight from company career pages across nine applicant tracking systems. Give it a domain and it works out which ATS the company uses on its own. Every job comes back in one normalized schema, no matter which platform it came from.

Jobs appear on a company's own career page before they are syndicated to LinkedIn or Indeed — and unlike those sites, every source here is a public API that needs no proxies, no cookies and no login.

Supported ATS platforms

ATS	Board token example	Description	Salary	Employment type	Posted date
Greenhouse	greenhouse:vercel	✅ included	—	—	✅
Lever	lever:leverdemo	✅ included	✅ when set	✅	✅
Ashby	ashby:ramp	✅ included	✅ structured	✅	✅
Workable	workable:blueground	✅ included	—	✅	✅
SmartRecruiters	smartrecruiters:Visa	➕ extra request	—	✅	✅
Recruitee	recruitee:hygraph	✅ included	✅ structured	✅	✅
Personio	personio:personio	✅ included	—	✅	✅
Breezy HR	breezy:breezy	❌ not public	✅ free text	✅	✅
Rippling	rippling:rippling	➕ extra request	—	➕ extra request	➕ extra request

✅ comes with the listing · ➕ needs one extra request per job (charged separately, and only when you ask for descriptions) · — the platform does not expose it · ❌ not available at all

How you name a company

Put any of these in the companies list — you can mix them freely:

Form	Example	Cost
Domain	stripe.com	ATS detection charged once
Career page URL	https://ramp.com/careers	ATS detection charged once
Job board URL	https://jobs.ashbyhq.com/ramp	free — read directly from the URL
Explicit ats:token	greenhouse:vercel	free — no detection needed

ATS detection fetches the company's career page and looks for a job board link. It is the convenient path; ats:token is the cheap one.

What does it cost?

Pay-per-event. You are charged for jobs that survive your filters, so narrowing by keyword or location genuinely lowers the bill.

Event	Price	When
Job scraped	$0.004	Per job in the dataset
ATS detected	$0.01	Per company resolved from a bare domain
Description fetched	$0.001	Only for SmartRecruiters and Rippling, only with descriptions on
Actor start	$0.00005	Once per run

Scenario	Cost
One company, 100 jobs, explicit ats:token	~$0.40
50 companies by domain, 2,000 jobs	~$8.50
Daily watch on 20 companies, ~30 new jobs/day	~$0.12/day

Filters and the incremental mode are the levers: a daily run with onlyNewJobs costs a fraction of a full re-scrape.

Only the new jobs

Turn on onlyNewJobs and the Actor remembers every job ID it has already returned, in a named key-value store. Later runs emit only postings it has never seen.

That turns this into a job alert feed: schedule it hourly, point a webhook at the dataset, and you get new roles within the hour — usually before they reach the big job boards. Use different stateStoreName values to keep separate schedules independent.

Output

One flat item per job — it exports cleanly to CSV and Excel:

{
  "jobId": "ashby:ramp:34413f8d-26bf-4bbc-8ade-eb309a0e2245",
  "ats": "ashby",
  "atsBoardToken": "ramp",
  "companyName": "Ramp",
  "companyDomain": "ramp.com",
  "title": "Security Engineer, Cloud",
  "department": "Engineering",
  "team": "Backend",
  "employmentType": "Full-time",
  "seniority": "Senior",
  "locationRaw": "New York, NY (HQ)",
  "city": "New York",
  "region": "NY",
  "country": null,
  "isRemote": true,
  "workplaceType": "Hybrid",
  "locations": ["New York, NY (HQ)", "San Francisco, CA", "Remote (US)"],
  "salaryMin": 211400,
  "salaryMax": 290600,
  "salaryCurrency": "USD",
  "salaryPeriod": "year",
  "postedAt": "2026-04-07T17:12:35.753Z",
  "applyUrl": "https://jobs.ashbyhq.com/ramp/34413f8d-.../application",
  "jobUrl": "https://jobs.ashbyhq.com/ramp/34413f8d-...",
  "description": "# About Ramp\n\nRamp is building the smart infrastructure...",
  "descriptionFormat": "markdown",
  "scrapedAt": "2026-08-11T19:36:05.412Z",
  "sourceUrl": "https://api.ashbyhq.com/posting-api/job-board/ramp?includeCompensation=true"
}

Fields the Actor derives for you

• seniority — read from the title (Intern, Junior, Mid, Senior, Staff, Principal, Lead, Director, VP, C-level). Most specific wins, so Senior Staff Engineer resolves to Staff.
• employmentType — one shared vocabulary. Ashby's FullTime, Recruitee's fulltime_permanent, Rippling's SALARIED_FT and SmartRecruiters' Regular full time salary all become Full-time.
• isRemote — the ATS flag when there is one, otherwise inferred from the location wording.
• salaryPeriod — canonical hour / day / week / month / year, so Ashby's 1 YEAR and Recruitee's month line up.
• city / region / country — split out of the free-text location.
• description — Markdown by default (best for LLM pipelines), or plain text or the original HTML.

Input options

Option	Type	Default	Description
companies	array	required	Domains, career page URLs, job board URLs or ats:token entries
keywords	array	[]	Keep jobs whose title contains any of these
excludeKeywords	array	[]	Drop jobs whose title contains any of these
locations	array	[]	Keep jobs matching any of these locations
departments	array	[]	Keep jobs in these departments or teams
remoteOnly	boolean	false	Remote jobs only
postedWithinDays	integer	0	Keep jobs published in the last N days (0 = off)
onlyNewJobs	boolean	false	Emit only jobs not seen in previous runs
includeDescription	boolean	true	Include the full job description
descriptionFormat	string	markdown	markdown / text / html
maxJobsPerCompany	integer	0	Cap per company (0 = no limit)
maxTotalJobs	integer	0	Cap across all companies (0 = no limit)
stateStoreName	string	career-site-job-scraper-state	Key-value store backing onlyNewJobs
maxConcurrency	integer	8	Parallel requests against the ATS APIs
proxyConfiguration	object	off	Optional — not needed for any supported ATS

Use cases

1. Job alert products — schedule with onlyNewJobs and push new roles to Slack, email or a webhook within the hour.
2. Recruiting and sourcing — track which teams a list of competitors is hiring for, and where.
3. Sales and VC signals — hiring is a growth signal. Watch a portfolio or an ICP list and see who is scaling which function.
4. Job boards and aggregators — build a niche board on first-party data instead of re-scraping LinkedIn.
5. Feeding AI agents — Markdown descriptions drop straight into RAG pipelines and LLM matching.

Why not just scrape LinkedIn or Indeed?

	LinkedIn / Indeed scrapers	Career Site Job Scraper
Data source	Aggregator, re-posted	Employer's own board
Freshness	After syndication	At publication
Blocking	Residential proxies, cookies	None — public APIs
Reliability	Breaks on layout changes	Versioned JSON APIs
Description	Often truncated	Full text
Salary	Rarely present	Structured where published

Limitations

• Breezy HR descriptions are not available. Its public feed carries metadata only, and the posting page is a JavaScript app with no JSON or JSON-LD to read. Everything else — title, location, department, employment type, salary, dates — is returned.
• Greenhouse does not expose employment type through its job board API, so that field stays empty for Greenhouse boards.
• Rippling's listing endpoint is sparse. Posting date and employment type only arrive with the description, so leaving includeDescription off means those fields stay empty for Rippling.
• postedWithinDays keeps jobs whose date is unknown. SmartRecruiters and Rippling only reveal dates on the detail endpoint; dropping every undated job would be worse than including a few. Dates that arrive during enrichment are re-checked against the filter.
• ATS detection needs a public link. If a career page renders its job board purely client-side with no ATS URL in the HTML, detection fails — pass an explicit ats:token entry instead.
• Only public postings. Internal, draft and unlisted roles are excluded, as they are from the ATS APIs themselves.

Which companies can I scrape?

Any company on one of the nine supported platforms — collectively tens of thousands of employers, heavily weighted toward tech, startups and scale-ups. If you are not sure which ATS a company uses, just pass its domain and let the Actor find out.