ATS Jobs Search & API | Search Jobs Across 57 ATS Platforms in One Call

Search job listings across 57 ATS platforms — Greenhouse, Lever, Ashby, Workday, iCIMS, Taleo, SuccessFactors, Workable, BambooHR, Personio, SmartRecruiters, and 46 more — in a single normalized response. Open the actor on Apify, hit Try for free, and run with the default input (queries: ["Software Engineer", "Product Manager"]). Use it to build job boards, power AI agents, run market research, or feed an HR tech product.

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What can ATS Jobs Search do?

• Query 57 ATS platforms at once with one normalized schema
• Filter by work model, experience level, salary range, skills, and companies
• De-duplicate the same role across sources before results return
• Exclude noise with negative-keyword syntax (prefix any query token with -)
• Optionally attach the full company profile — industries, funding, leadership, ratings, tech stack, H1B history
• Run on Apify with scheduling, monitoring, and webhooks, and integrate with Zapier, Make, Slack, or HTTP
• Download results as JSON, CSV, or XLSX

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Supported ATS platforms (57)

Category	Platforms
Tech-focused	greenhouse, lever, ashby, workable, polymer, rippling, gem, kula
Enterprise HCM	workday, successfactors, taleo, oraclecloud, csod, dayforce, ultipro, paycom, paycor, paylocity, adpmyjobs, adpworkforcenow, isolved, pageup
SMB / Mid-market	bamboohr, breezy, jazzhr, personio, recruitee, smartrecruiters, freshteam, hibob, jobscore, recooty, zohorecruit, manatal, hireology
AI-native	eightfold, phenompeople, joincom
Specialty / Other	icims, jobvite, applicantpro, careerplug, careerpuck, comeet, dover, gohire, hirebridge, hirehive, hiringthing, homerun, pinpoint, rival, talnet, teamtailor, trakstar, trinet, werecruit

Leave sources empty to query all 57. Set it to a subset (e.g. ["greenhouse", "lever", "ashby"]) to scope — and usually speed up — a search.

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Input

Configure the actor on the Input tab in the Apify UI. Every field is optional; leaving them empty returns the broadest possible result set.

Search

The core of every run. queries accepts up to 5 titles or keywords (OR-ed together); adding more rarely helps — narrow with filters instead.

Parameter	Type	Description
queries	Array (≤5)	Job titles or keywords. Multiple values are OR-ed. Prefix any entry with - to exclude (["Software Engineer", "-staff"]).
locations	Array	Cities, regions, or countries. Geocoded server-side for accurate matching.
sources	Array	ATS platforms to scope to. Leave empty for all 57.

Filters

Faceted filters that narrow the result set. Salary filters work in USD; jobs without a disclosed salary are excluded when either is set.

Parameter	Type	Description
work_models	Array	remote, hybrid, onsite.
employment_types	Array	full-time, part-time, contract, internship, freelance, temporary.
experience_levels	Array	intern, entry, mid, senior, lead, executive.
skills_include	Array	Only return jobs requiring ANY of these skills. Matched against AI-extracted qualifications.
skills_exclude	Array	Exclude jobs requiring ANY of these skills.
companies_include	Array	Only return jobs from these company names.
companies_exclude	Array	Exclude jobs from these companies.
min_salary_usd	Integer	Minimum annual USD salary.
max_salary_usd	Integer	Maximum annual USD salary.
posted_after	String	ISO 8601 (2025-01-01T00:00:00Z) or relative (7 days ago, 1 month).

Company enrichment

Parameter	Type	Default	Description
include_company_details	Boolean	false	Off by default — company carries a lightweight preview. Set true to replace it with the full enriched profile (companies are de-duplicated, fetched once per run; slower, more API calls).

Pagination

Parameter	Type	Default	Description
page	Integer	1	Page number (max 20). To go deeper, refine your filters instead of paging.
page_size	Integer	50	Results per page (max 100).

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Output

Each dataset row uses Jobo Connect's normalized, ATS-agnostic job shape; the source field tells you which of the 57 ATSes the row came from. The full JSON Schema is on the Dataset Schema tab in the Apify UI.

The Output tab offers two views: Job Listings (jobs with a lightweight company preview) and Company details (the full company profile, populated when include_company_details is enabled).

Job fields

Name	Description	Type
id	Stable Jobo job identifier	uuid
title	Raw job title	text
normalized_title	Canonical title for grouping across ATSes	text
description	Full job description, HTML stripped	text
summary	2–3 sentence AI role recap	text
listing_url	Canonical listing URL on the source ATS	uri
apply_url	Direct apply URL	uri
locations	Array of {location, city, region, country, latitude, longitude} (geocoded when possible)	object[]
compensation	{min, max, currency, period}	object
employment_type	full_time / part_time / contract / internship / freelance / temporary	text
workplace_type	remote / hybrid / onsite	text
experience_level	entry / mid / senior / lead / executive	text
qualifications	must_have / preferred, each with typed skills ({name, type: hard|soft}), education, certifications	object
responsibilities	Bullet list extracted from the description	text[]
benefits	Bullet list extracted from the description	text[]
is_work_auth_required	Work authorization required	bool
is_h1b_sponsor	Employer sponsors H1B	bool
is_clearance_required	Security clearance required	bool
source	ATS platform the job came from	text
date_posted	When the role was posted	timestamp
valid_through	Expiry timestamp (null in most cases)	timestamp
created_at	When Jobo first indexed the job	timestamp
updated_at	Last time Jobo refreshed the job	timestamp

Company fields

company is always present. By default it carries only the preview fields below; set include_company_details: true to replace it with the full enriched profile.

Preview (always present)

Name	Description	Type
id	Stable Jobo company identifier — use as your primary key	uuid
name	Trade name	text
website	Company marketing website	text
logo_url	Hosted logo URL	text
summary	Short company blurb	text
industries	Vertical industry labels	text[]
details_url	Link to GET /api/companies/{id} for the full profile	uri

Enriched (when include_company_details is on)

Name	Description	Type
legal_name	Registered legal entity name	text
primary_industry	Main industry label	text
company_size	Headcount band, e.g. 1001-5000	text
revenue	Annual revenue band	text
founding_year	Year founded	text
headquarters_location	HQ city / region	text
country_code	HQ country code	text
operating_status	active / closed	text
ipo_status	private / ipo / delisted	text
company_type	for_profit / non_profit	text
stock_symbol	Ticker symbol	text
stock_exchange	Listing exchange	text
funding_stage	Latest funding stage	text
total_funding	Total funding raised	text
investors	Investor names	text[]
funding_rounds	Per-round detail (investment_type, announced_on, raised_amount, …)	object[]
founders	Founder names	text[]
leadership	{name, title, linkedin_url, avatar_url}	object[]
ratings	{source, rating, url, review_count} (Glassdoor, etc.)	object[]
press_references	{url, posted_on, title, publisher}	object[]
h1b_annual_job_counts	{year, count} H1B history	object[]
technology_list	Detected technologies	text[]
tech_stack	{name, categories}	object[]
page_rank	Domain authority score	number
leadership_display	Display tag — "Name — Title"	text[]
ratings_display	Display tag — "Glassdoor 4.3 (2.1k)"	text[]
funding_display	Display tag — "Series F · $15.4B"	text[]

The complete company schema (every field) is on the Dataset Schema tab and at docs.jobo.world/api-reference/companies/schema. Use company.details_url with your X-Api-Key to re-fetch a profile on demand.

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Quick-start input examples

All ATSes, remote engineering roles

{
  "queries": ["Software Engineer"],
  "work_models": ["remote"],
  "page_size": 50
}

Top three tech ATSes, senior+

{
  "queries": ["Backend Engineer"],
  "sources": ["greenhouse", "lever", "ashby"],
  "experience_levels": ["senior", "lead"],
  "page_size": 50
}

Skills-filtered, US-only, $90k+

{
  "queries": ["Backend Engineer"],
  "skills_include": ["Go", "Kubernetes", "PostgreSQL"],
  "skills_exclude": ["PHP"],
  "locations": ["United States"],
  "min_salary_usd": 90000,
  "page_size": 100
}

Negative-keyword filter

{
  "queries": ["Software Engineer", "-staff", "-principal"],
  "experience_levels": ["mid", "senior"],
  "page_size": 50
}

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Tips & advanced options

• Pagination cap. page_size maxes at 100 and page at 20. For bulk downloads (>2k rows) use ATS Jobs Feed instead — it uses cursor pagination and pulls up to 1,000 rows per batch.
• source field tells you the platform. Each row carries "source": "greenhouse" (or whichever ATS) — useful for routing, analytics, or per-source weighting.
• Scoping with sources. Empty = all 57 platforms. A subset narrows the search and usually speeds it up significantly.
• industries empty for some companies. Industries come from Jobo's enrichment pipeline; long-tail SMBs may show industries: [].
• Geocoding is best-effort. Loose strings like "Remote" or "Worldwide" won't geocode; the raw location string is always preserved.
• Salary normalization. All salary filters work in USD; source currencies (EUR, GBP, INR, etc.) are converted server-side using current FX.
• One actor for everything. Don't run separate single-ATS actors and merge results — this actor is built for cross-source queries with normalized output.

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Use cases

Industry	Use case
Job Boards	Build cross-ATS aggregators with normalized data from every platform
AI Agents	Power career chatbots and résumé-matching agents with the broadest possible job dataset
HR Tech	Build market-intel dashboards across every ATS the market uses
Recruiting	Source candidates and roles regardless of which ATS the employer happens to use
Salary Research	Benchmark compensation across every major ATS and segment
Market Research	Track sector hiring velocity without per-ATS bias

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Is it legal to scrape ATS job listings?

Our scrapers are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our scrapers, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

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FAQ

How many ATS platforms do you support?

57 — Greenhouse, Lever, Ashby, Workday, iCIMS, Taleo, SuccessFactors, Oracle Cloud, ADP, Paycom, Paylocity, Dayforce, UltiPro, isolved, Eightfold, Phenom People, BambooHR, Personio, SmartRecruiters, and many more. See the full list above.

Should I use this actor or one of the single-ATS actors?

Use this actor when you want broad coverage or compare jobs across multiple ATSes. Use a single-ATS actor (e.g. bamboohr-jobs-scraper-api) if you only ever care about one ATS — identical output, simpler input.

Should I use this actor or ATS Jobs Feed?

Use ATS Jobs Search for filtered, paginated queries (job-board UIs, AI agents, real-time lookups). Use ATS Jobs Feed for bulk download (data pipelines, full-inventory sync) — cursor pagination, 1,000 jobs per batch, built for high throughput.

How do I scope to a subset of ATSes?

Set sources: ["greenhouse", "lever", "ashby"] (or any subset of the 57 supported platforms).

Are duplicates de-duped across sources?

Yes — Jobo Connect de-duplicates by (company + canonical title + listing URL) before returning results, so the same role posted on two ATSes won't appear twice.

Can I filter by salary?

Yes — min_salary_usd and max_salary_usd, normalized to USD server-side. Jobs without a disclosed salary are excluded when either filter is set.

How often is data updated?

Jobs are verified daily across every supported ATS. Expired listings are removed within 24 hours.

Where can I check if the Jobo API is up?

At jobo.world/status — the live status page for the Jobo Connect API behind this actor.

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Related actors

Actor	Best for
ATS Jobs Feed	Bulk download for data pipelines (cursor pagination, 1k/batch)
AI Deep Job Search	AI-powered relevance scoring on top of this search
Workable Jobs Scraper	Global SMB + mid-market
Greenhouse Jobs Scraper	US tech unicorns
Lever Jobs Scraper	VC-backed startups
Workday Jobs Scraper	Fortune 500 enterprises
Crunchbase Company Lookup	Pair with company.details_url for funding / leadership data

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Changelog

2.2

• Job description in the listing view. The full description field now appears directly in the Job Listings view.
• Company enrichment is opt-in. include_company_details now defaults to off — the listing view carries a lightweight company preview, and the Company details view holds the full profile when enabled.

2.1

• Company enrichment (opt-in). include_company_details replaces the lightweight preview with the full company profile — funding, leadership, ratings, tech stack, H1B sponsorship, acquisitions, investors, and more — fetched once per unique company. Off by default — enable it when you need company data.
• New "Company details" output view.

2.0

• Expanded from 13 to 57 ATS platforms.
• Richer per-job shape: AI-extracted qualifications (typed hard/soft skills, education, certifications), responsibilities[], benefits[], summary, and normalized_title.
• Geocoded locations[] (resolved city / region / country / lat / lon).
• New filters: salary range (min_salary_usd / max_salary_usd), skills include/exclude, companies include/exclude, work model, experience level, employment type, and negative query syntax.
• Work-authorization signals: is_work_auth_required, is_h1b_sponsor, is_clearance_required.
• Existing inputs (queries, locations, sources, posted_after, page, page_size) are unchanged from v1.x.

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About Jobo

Jobo provides comprehensive job data infrastructure for developers and businesses. Our ATS Jobs Database powers job boards, AI agents, and HR tech platforms worldwide.

• Website: jobo.world
• Enterprise API: jobo.world/enterprise
• API status: jobo.world/status
• Support: enrico@jobo.world