Career Site Jobs: Workday, Oracle, Greenhouse and 21 more

Company Career Page Scraper: every open job from any company, by name or domain

Give it company names or websites (stripe.com, Marriott, Casey's) and get every open job on each company's careers page as one clean row, whichever hiring system the page runs on: Workday, Oracle, ADP, iCIMS, SAP SuccessFactors, Eightfold, Phenom, Greenhouse, Lever, Ashby and 14 more. No board tokens to look up, no API key for any of those systems, no proxy.

This repo is the quick start for the hosted Company Career Page Jobs Scraper on Apify: one HTTP call from the shell, a standard-library Python script, and the setup for using it as a tool in Claude, ChatGPT or Cursor.

• Quick start: one curl
• Quick start: Python
• Use it from an AI agent (MCP)
• Input · Output
• How a name becomes a board
• The systems it reads
• FAQ

Quick start: one curl

Get a free Apify API token at console.apify.com/settings/integrations, then:

export APIFY_TOKEN=apify_api_...
curl -s -X POST \
  -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" \
  -d '{"companies": ["stripe.com", "Marriott", "Casey'"'"'s"], "titleKeywords": ["manager"], "maxItems": 20}' \
  "https://api.apify.com/v2/acts/glitchbound~ats-jobs-scraper/run-sync-get-dataset-items"

The response is a JSON array, one object per job. Stripe is on Greenhouse, Marriott on Oracle, Casey's on ADP; you did not need to know any of that. For runs longer than five minutes, start the run and fetch the dataset when it finishes.

Quick start: Python

example.py uses only the standard library and writes a CSV:

python3 example.py --company stripe.com --company Marriott --company "Casey's" --title manager --max 6
python3 example.py inputs/security-roles.json

A real run of the first command:

6 jobs written to jobs.csv
  Stripe: AEO and GEO Marketing Manager (Remote in the US)
  Stripe: AI Solutions Program Manager, Finance (SEA, SF, NYC, CHI)
  Marriott: Revenue Manager (LONDON, United Kingdom)
  Marriott: Analytics Manager (Goa, India)
  Casey's: Center Store Manager - Gardner, KS (Gardner, Kansas, United States)

Use it from an AI agent (MCP)

Add this as a connector in Claude or ChatGPT:

https://mcp.apify.com?tools=glitchbound/ats-jobs-scraper

In Cursor or VS Code, the same address goes in mcp.json:

{ "mcpServers": { "apify": { "url": "https://mcp.apify.com?tools=glitchbound/ats-jobs-scraper" } } }

The first call asks you to sign in to Apify or takes an API token. Then "what is Stripe hiring for in Dublin?" is one tool call.

It is also listed in the official MCP Registry as io.github.danielhagever/career-site-jobs, together with the Workday and Job Listings tools (server.json).

Input

Field	What it does
companies	Company names or domains: NVIDIA, Home Depot, stripe.com. Each is looked up in a directory of career sites already read, and guessed (then verified against the live board) only when the directory has nothing.
boards	Skip discovery and read a board directly as platform:token, e.g. greenhouse:stripe or lever:palantir. Workday takes its careers URL: workday:https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite.
titleKeywords	Keep roles whose title contains any of these. Plain text, so c++ means c++.
locationKeywords	Keep roles whose location contains any of these, e.g. London.
remoteOnly	Keep remote roles only.
includeDescription	Also fetch the description text. Off by default, because some sources are many times heavier with it.
maxResultsPerCompany	Ceiling per board (default 1,000).
maxItems	Ceiling for the whole run.

Ready-made inputs are in inputs/. Rows your filters drop are not charged, and on large Workday, Oracle, Eightfold, Phenom and Amazon boards a title or city filter is sent to the employer's own search, so it finds every match rather than skimming the newest postings.

Output

Every system names things differently; every row comes back in one shape. One real row from each of the three systems in the run above is in sample-output.json:

{
  "jobId": "5001234068100",
  "title": "Center Store Manager - Gardner, KS",
  "location": "Gardner, Kansas, United States",
  "departments": ["Store / Field Leadership"],
  "url": "https://myjobs.adp.com/caseysstore/cx/job-details?reqId=5001234068100",
  "postedAt": "2026-10-25T13:02:33Z",
  "employmentType": "full-time",
  "company": "Casey's",
  "atsPlatform": "adp",
  "boardToken": "caseysstore",
  "boardUrl": "https://myjobs.adp.com/caseysstore",
  "workArrangement": "onsite",
  "isRemote": false,
  "country": "United States",
  "region": "Kansas",
  "city": "Gardner"
}

atsPlatform says which system each row came from. Error rows ("recordType": "error") say why a company returned nothing and are not charged.

How a name becomes a board

Most scrapers that take a company name can only guess at a board token, which finds startups on Greenhouse or Lever and misses the employers people ask about first: Workday, Oracle, ADP and iCIMS addresses carry ids that no name or domain can be turned into.

So the Actor ships a directory of over 75,000 company names, each mapped to a career site it has already read real postings from, refreshed nightly. A name is looked up there first. Only when the directory has nothing does it derive candidate tokens from the domain, and then it checks each one against the live board: on the systems where a board that does not exist answers 404, a 200 is proof, not a guess.

Some companies run careers software of their own (Google, Apple, Meta, Tesla). For those the run says so and charges nothing, instead of returning some other company's board that happens to share the name.

The systems it reads

System	Examples of employers it answers by name
Workday	NVIDIA, Walmart, Salesforce, Disney, Wells Fargo
Oracle Recruiting Cloud	Marriott, Kroger, JPMorgan Chase, Hilton, Uber
ADP	Casey's, PepsiCo Beverages North America
iCIMS	Charles Schwab, Liberty Mutual, EMCOR
SAP SuccessFactors (on the employer's own site)	EY, Compass Group, Aramark, Union Pacific
Eightfold	Microsoft, Starbucks, Lockheed Martin, Qualcomm
Phenom	UPS, RTX, Eli Lilly, United Airlines
Radancy	UnitedHealth Group, Comcast, Kaiser Permanente
Jibe	Costco, H&R Block, PetSmart, AMD
BrassRing	Home Depot, Best Buy, Publix, Edward Jones
Taleo	Valero, Textron
Amazon (its own search)	Amazon, AWS
Greenhouse, Lever, Ashby	Stripe, Airbnb, Palantir, OpenAI, Notion
Workable, Recruitee, Rippling, Teamtailor, Personio, BambooHR, Breezy, JazzHR, Paylocity	the long tail of small and mid-size employers, many in Europe

The raw public endpoint of each of these, with a tested curl, is in job-board-apis.

FAQ

How do I get every open job from a company's career page? Put its name or website in companies. The Actor works out which system the careers page runs on and reads that system's own job feed, so you never need the board's URL or token.

Does it work for the biggest employers? Yes, that is what the directory is for. Each board gives up to 1,000 roles by default; raise maxResultsPerCompany and a 20,000-job board such as Costco's is read in full. A title or city filter goes to the employer's own search, so it finds every match either way.

Why not just scrape Indeed or Glassdoor? They have no public jobs API and block automated requests at the edge. They also aggregate from these same career pages, so the source is fresher.

What does it cost? It is paid per result; rows dropped by your filters and error rows are not charged. The current rate for your plan is on the Actor page.

I want what is new, not everything. Job Listings API searches the whole index by title, place or salary, with newWithin for only the roles that appeared since the last daily refresh.

Related

• Workday Jobs Scraper and its quick start, workday-jobs-scraper.
• Oracle Recruiting Jobs Scraper: Oracle Cloud careers sites by name.
• iCIMS Jobs Scraper: iCIMS career portals by name.
• Job Listings API: one search across every company in the index; quick start in job-listings-api.
• Write-up: Company Career Page Scraper: every open job from any company, by name or domain.

Questions, or a company that does not resolve? Open an issue here or on the Actor page.

License

MIT