All-in-One ATS Job Scraper (9 Platforms)

Paste any mix of company names, corporate website domains, or ATS board URLs ("stripe", "nvidia", "openai", "palantir", "ServiceNow", "stripe.com", "https://jobs.ashbyhq.com/linear") and automatically detect & extract open jobs across all 9 major ATS platforms (Greenhouse, Workday, Ashby, Lever, SmartRecruiters, Workable, Recruitee, Breezy HR, and Rippling) into a single unified 31-field dataset.

Runs as pure HTTP against each ATS's upstream JSON API in 128 MB of memory—finishing a 5-ATS sample run (Stripe, NVIDIA, OpenAI, Palantir, Bosch) in ~6 seconds.

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Which companies can I scrape?

Any company that uses one of the 9 supported ATS platforms: Workday, Greenhouse, Lever, Ashby, SmartRecruiters, Workable, Recruitee, Breezy HR or Rippling. You don't need to know which one a company uses. Paste whatever you have and the Actor works it out:

You paste	Example	How it's resolved
Any ATS board or job URL	https://jobs.lever.co/palantir	Read straight from the URL. Most reliable.
A company name	stripe, nvidia, openai	Instant match from our 235+ company directory. Otherwise checks Greenhouse, Lever, Ashby, SmartRecruiters, Recruitee, Breezy HR and Rippling in parallel.
A company website or careers page	stripe.com, https://example.com/careers	Scans the page for a link to its job board.

Tips for best results

• Workday and Workable companies outside our directory: paste the careers page URL rather than the bare name. Workday URLs can't be guessed from the name (see the Workday Jobs Scraper for details).
• Short or common names (e.g. bolt, circle) can match a different company with the same board name. Paste the exact board URL when it matters.

What's the built-in directory? An optional shortcut. Turn on includeBuiltInTechDirectory to also scan 235+ verified companies across all 9 platforms without typing anything. It's off by default and never limits what you can scrape.

Optional Starter Directory (Any Company on All 9 ATS Platforms Works in urls)

You can scrape any company using any of the 9 supported ATS platforms by pasting its board URL, careers page URL, or slug into urls. The 235 companies below are only our optional built-in starter pack (used when "includeBuiltInTechDirectory": true)—they never limit what you can scrape:

• GREENHOUSE (48): stripe, anthropic, cloudflare, databricks, figma, intercom, mongodb, datadog, airtable, gusto, okta, carta, toast, airbnb, coinbase, gitlab, vercel, scaleai, brex, robinhood, duolingo, discord, reddit, pinterest, lyft, instacart, asana, twilio, elastic, cockroachlabs, chime, coursera, dropbox, affirm, flexport, gongio, klaviyo, lattice, launchdarkly, netlify, newrelic, pagerduty, rubrik, samsara, squarespace, udemy, zscaler, algolia
• WORKDAY (103): 3m, abbvie, accenture, adobe, agilent, aig, allstate, amgen, analogdevices, astrazeneca, autodesk, bankofamerica, blackrock, bms, boeing, bostonscientific, broadcom, capitalone, cardinalhealth, caterpillar, centene, chevron, cigna, citi, cmegroup, cognizant, comcast, corning, cummins, cvshealth, danaher, deere, dell, dupont, eaton, fedex, fis, generalmotors, gsk, hp, hpe, humana, illumina, intel, iqvia, jll, johnsoncontrols, kla, lamresearch, leidos, lowes, marriott, mastercard, mckesson, medtronic, merck, micron, moderna, morganstanley, motorolasolutions, nasdaq, netflix, nike, nvidia, paypal, pfizer, pg, philips, pnc, prudential, pwc, qualcomm, raytheon, regeneron, relx, roche, salesforce, sanofi, sony, spglobal, stryker, synopsys, target, thermofisher, tmobile, travelers, truist, tyson, unilever, ups, usbank, vanguard, verizon, vertex, walgreens, walmart, wellsfargo, westerndigital, whirlpool, workday, yum, zimmerbiomet, zoetis
• ASHBY (36): openai, linear, ramp, supabase, posthog, vanta, langchain, lovable, synthesia, inngest, cohere, notion, perplexity, elevenlabs, replit, zapier, harvey, cursor, decagon, sierra, modal, baseten, deepgram, pinecone, weaviate, resend, railway, render, clerk, workos, bland, pika, runway, zed, cognition, 1x
• LEVER (16): palantir, spotify, zoox, veeva, outreach, ro, wealthfront, jobgether, binance, coupa, metabase, latch, jumpcloud, neon, shieldai, rigetti
• SMARTRECRUITERS (8): BoschGroup, ServiceNow, CDPROJEKTRED, Devoteam, Eurofins, AveryDennison, NielsenIQ, Experian
• WORKABLE (6): biffa, blueground, skroutz, epignosis, upstream, persado
• RECRUITEE (7): bunq, channable, vandebron, personio, trackman, pragmaticcoders, fastned
• BREEZYHR (6): breezy, mukuru, shopritex, rhynocare, drips, nationsbenefits
• RIPPLING (5): rippling, carbon-health, petfolk, crafty, dub

Scraping companies across multiple ATS platforms? Combine this Actor with our other live 31-field job scrapers (Workday Jobs Scraper, Greenhouse Jobs Scraper, Lever Jobs Scraper, Ashby Job Scraper, SmartRecruiters Jobs Scraper, Rippling Jobs Scraper, Workable Jobs Scraper, Recruitee Jobs Scraper, Breezy HR Jobs Scraper)—all sharing the exact same 31-field output schema (companyDomain, salaryMin, salaryMax, recruiterEmails, isNew) so they plug into a single n8n, Make, Clay, or Python pipeline with zero field-mapping changes.

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Quick Start — 3 Common Workflows

Click Save & Start in Apify Console to run the prefilled sample immediately, or copy one of these ready-to-run JSON inputs:

1. Targeted Keyword & Remote Job Search

{
  "urls": ["stripe", "nvidia", "openai"],
  "keywordFilter": "engineer, ai, -intern",
  "remoteOnly": true,
  "maxJobsPerCompany": 25
}

2. Scheduled Daily Change Monitor (Emit Only Net-New Jobs)

Run on an hourly or daily schedule—the first run establishes your baseline, and every subsequent run outputs only newly posted jobs (while logging closed/expired job IDs to RUN_SUMMARY):

{
  "urls": ["stripe", "nvidia", "openai"],
  "onlyNewJobs": true,
  "monitorName": "daily-watchlist",
  "maxJobsPerCompany": 50
}

3. Zero-Input Built-In Directory Scan (B2B Hiring Signals & Clay / CRM Enrichment)

Scan our built-in directory of verified companies without hunting down board URLs—every output record includes companyDomain, salaryFormatted, and recruiterEmails:

{
  "urls": [],
  "includeBuiltInTechDirectory": true,
  "deduplicateMultiLocationJobs": true,
  "maxJobsPerCompany": 15,
  "maxTotalJobs": 300
}

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Why developers switch to this Actor

	This Actor (data-goose)	Multi-ATS browser / cached scrapers (fantastic-jobs, parseforge, etc.)
Architecture	Pure HTTP + native JSON APIs across 9 ATS engines, 128 MB RAM	Headless Chrome (2–8 GB RAM) or 24-hour stale cached feeds
Zero-Config Auto-Detection	✅ Paste bare company names (stripe, nvidia, openai, palantir, BoschGroup) or domains (stripe.com)—auto-detects the ATS via our 235+ company built-in directory, parallel API probing, and career page HTML scan	❌ Requires you to know which ATS each company uses and paste exact ATS URLs
Unified 31-Field Schema	✅ Every job from Workday, Greenhouse, Ashby, Lever, SmartRecruiters, Workable, Recruitee, Breezy HR & Rippling shares the exact same 31 fields	❌ Different schemas per ATS
B2B Enrichment (companyDomain & recruiterEmails)	✅ Derives root companyDomain (stripe.com, nvidia.com, openai.com) and extracts recruiterEmails for instant Clay / Apollo / CRM joins	❌ Missing
Change Monitor + Closed Job Tracking	✅ onlyNewJobs emits net-new postings and records closedJobCount + closedJobKeys in RUN_SUMMARY at no extra cost	❌ Charges $20+/mo extra for expired job tracking

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Input

Field	Type	Default	Description
urls	array	["stripe", "nvidia", "openai", "palantir", "ServiceNow"]	Any mix of company names, corporate domains, or ATS board URLs
includeBuiltInTechDirectory	boolean	false	Scan 235+ verified companies across all 9 ATS platforms
keywordFilter	string	–	Case-insensitive regex, comma/pipe OR terms, and -exclude tokens (e.g. "engineer, ai, -intern")
excludeKeywordFilter	string	–	Comma-separated keywords or regex excluded from job titles (e.g. "Senior, Staff, Director")
departmentFilter	string	–	Substring match on department names
locationFilter	string	–	Substring match on job locations
remoteOnly	boolean	false	Only jobs classified as Remote
publishedAfter	string	–	YYYY-MM-DD. Keeps jobs published on or after this date
deduplicateMultiLocationJobs	boolean	false	Merge identical (companyToken, title, department) postings across cities into one item
onlyNewJobs	boolean	false	Change monitor: emit only net-new jobs and record closed jobs in RUN_SUMMARY
monitorName	string	"default"	Separate state key for each watchlist or scheduled task
maxJobsPerCompany	integer	15	Cap per company board (0 = automatic fair share across boards)
maxTotalJobs	integer	75	Maximum total jobs across the run

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Output (Unified 31-Field Schema)

{
  "id": "JR1988123",
  "type": "Full-time",
  "title": "Senior Deep Learning Systems Engineer",
  "description": "NVIDIA is searching for a Senior Deep Learning Systems Engineer...",
  "locations": ["US, CA, Santa Clara"],
  "department": "Engineering",
  "postingUrl": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Systems-Engineer_JR1988123",
  "applyUrl": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Systems-Engineer_JR1988123/apply",
  "publishedAt": "2026-11-04",
  "ats": "workday",
  "companyToken": "nvidia",
  "companyName": "NVIDIA",
  "companyDomain": "nvidia.com",
  "internalJobId": "a1b2c3d4e5f6",
  "requisitionId": "JR1988123",
  "updatedAt": "2026-11-04",
  "isRemote": false,
  "workplaceType": "On-site",
  "departments": ["Engineering"],
  "offices": ["US, CA, Santa Clara"],
  "salaryMin": 184000.0,
  "salaryMax": 287500.0,
  "salaryCurrency": "USD",
  "salaryInterval": "year",
  "salaryFormatted": "USD 184,000 - 287,500 / year",
  "salaryRanges": [
    {
      "min": 184000.0,
      "max": 287500.0,
      "currency": "USD",
      "interval": "year",
      "title": null,
      "blurb": "The base salary range is 184,000 USD - 287,500 USD.",
      "formatted": "USD 184,000 - 287,500 / year",
      "source": "description"
    }
  ],
  "recruiterEmails": [],
  "metadata": {
    "tenant": "nvidia",
    "wdCluster": "wd5",
    "siteId": "NVIDIAExternalCareerSite"
  },
  "isNew": true,
  "descriptionHtml": "<p>NVIDIA is searching for a Senior Deep Learning Systems Engineer...</p>",
  "questions": null
}

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Pricing (Pay-Per-Event — No Monthly Subscription)

This Actor uses transparent Pay-Per-Event pricing. You only pay for jobs actually written to your dataset—filtered-out records and already-seen records (onlyNewJobs: true) cost $0.

Plan Tier	Per Job (apify-default-dataset-item)	Cost per 1,000 Jobs	Actor Start Fee (apify-actor-start)	Proxy Cost
Free	$0.00150	$1.50	$0.005	$0 (no proxy needed)
Bronze	$0.00125	$1.25	$0.005	$0
Silver	$0.00105	$1.05	$0.005	$0
Gold / Platinum / Diamond	$0.00085	$0.85	$0.005	$0

• 128 MB Memory Footprint: Runs in pure async HTTP (128 MB RAM instead of 1–4 GB headless browsers), reducing Apify compute usage by 8x–32x.
• Built-in Spend Cap Protection: Use maxTotalJobs / maxJobsPerCompany or Apify's Maximum cost per run setting to cap spend to the exact cent.

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API Usage

Python (apify-client)

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("data-goose/career-site-job-scraper").call(run_input={
    "urls": ["stripe", "nvidia", "openai", "palantir", "ServiceNow"],
    "keywordFilter": "engineer, ai, -intern",
    "deduplicateMultiLocationJobs": True,
    "maxJobsPerCompany": 15,
})

for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["ats"], "|", job["companyName"], "|", job["companyDomain"], "|", job["title"], "|", job["salaryFormatted"])

n8n / Make (HTTP Request)

• Method: POST
• URL: https://api.apify.com/v2/acts/data-goose~career-site-job-scraper/run-sync-get-dataset-items
• Headers: Authorization: Bearer {{APIFY_TOKEN}}, Content-Type: application/json
• Body:

{
  "urls": ["stripe", "nvidia", "openai", "palantir", "ServiceNow"],
  "remoteOnly": true,
  "onlyNewJobs": true,
  "monitorName": "multi-ats-daily"
}

cURL

curl -X POST "https://api.apify.com/v2/acts/data-goose~career-site-job-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"urls": ["stripe", "nvidia", "openai", "palantir", "ServiceNow"], "maxJobsPerCompany": 15}'

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Explore the Data Goose Scraper Suite (128 MB Pure-HTTP)

All published Actors below run in 128 MB RAM with zero browser overhead and deterministic schemas (all ATS & Job scrapers share the exact same 31-field output schema):

Actor	Target Platform & Primary Use Case
All-in-One ATS Job Scraper (9 Platforms) (data-goose/career-site-job-scraper)	All-in-One Router: auto-detects & scrapes all 9 ATS platforms from any company domain or URL
Workday Jobs Scraper: Unlimited API & Salaries (data-goose/workday-job-scraper)	Workday: Fortune 500 & global enterprises (>2,000 facet bypass + 100+ built-in boards)
Greenhouse Jobs Scraper (Fast API & Salaries) (data-goose/greenhouse-job-scraper)	Greenhouse: High-growth tech & unicorns (US + EU API, pay_transparency salaries)
Lever Jobs Scraper (US & EU Postings API) (data-goose/lever-job-scraper)	Lever: Tech & scaleups (US + EU fallback, native salaryRange + combined lists)
Ashby Job Scraper (YC Startups & Salaries) (data-goose/ashby-job-scraper)	Ashby: AI startups & YC companies (includeCompensation=true structured salary tiers)
SmartRecruiters Jobs Scraper (Enterprise API & Salaries) (data-goose/smartrecruiters-job-scraper)	SmartRecruiters: Global enterprises (ServiceNow, Bosch, Experian, Eurofins)
Rippling Jobs Scraper (ATS Boards & Salaries) (data-goose/rippling-job-scraper)	Rippling ATS: Modern startups & scaleups (/api/v1/board/{slug}/jobs + pay ranges)
Workable Jobs Scraper: Direct API & Salaries (data-goose/workable-job-scraper)	Workable: Mid-market & European tech (v3 list + v2 detail orchestration)
Recruitee Jobs Scraper (Bulk API, Salaries & Emails) (data-goose/recruitee-job-scraper)	Recruitee: European & remote-first companies (single-call /api/offers JSON)
Breezy HR Jobs Scraper (Salaries & Hiring Emails) (data-goose/breezyhr-job-scraper)	Breezy HR: SMB & agencies (live /json feeds + full descriptions, no 100-item cap)

Looking for our E-Commerce, Lead Enrichment, Financial & Trend Scrapers? Browse all published 128 MB pure-HTTP scrapers on the Data Goose Apify Store Profile.

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Support & Custom Contracting

• 🐛 Bugs & feature requests: open an issue on the Actor's Issues tab or email us.
• 📧 datagoosedev@gmail.com — we reply within one business day.