Workday Jobs Scraper: jobs from any myworkdayjobs.com career site

Thousands of large employers (Fortune 500 companies, universities, hospitals, banks, governments) run their career sites on Workday. This Actor pulls every open job from any Workday career site into a clean dataset: title, full description, posting date, all locations, remote flag, employment type, requisition ID and hiring entity.

At a glance: $2.00 per 1,000 jobs. Pay per result with no subscription, set a maximum cost per run, export to JSON, CSV or Excel, or call it from the Apify API, Make, Zapier or n8n.

It reads the same public JSON endpoints the Workday career site itself calls in your browser. No login, no cookies, no headless browser, no proxy. Runs are fast and cheap.

What you get

• Any Workday tenant: wd1, wd3, wd5, wd12 and other data centers. Paste the URL you see in the browser.
• Full detail per job: description, postedAt, every location, country, isRemote, employment type, requisition ID, hiring entity.
• Salary parsing: pay ranges written in the description (common for US roles under pay transparency laws) are parsed into salaryMin, salaryMax, salaryCurrency and salaryPeriod.
• Filters before detail fetch: title keywords and excludes are applied to the listing first, so only matching jobs cost a detail request.
• Monitoring mode: onlyNewJobs returns only postings you have not seen in earlier runs. Schedule it daily for a feed of new requisitions.
• Polite by design: robots.txt is checked at runtime, requests are rate limited per host, and retries back off on 429 and 5xx.

Use cases

• Job boards and aggregators that need enterprise listings that are hard to reach.
• Recruiting and sales teams tracking hiring signals at large accounts.
• Labor market and salary research across big employers.
• Job seekers watching a few large companies for new openings.

Input

Field	Type	Description
companies	array (required)	Workday career site URLs, for example https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite.
keywords	array	Keep titles containing any of these words.
excludeKeywords	array	Drop titles containing any of these words.
searchInDescription	boolean	Match keywords in the description too (fetches every detail page, slower).
locations	array	Keep jobs whose location contains any of these strings.
remoteOnly	boolean	Only remote jobs.
departments	array	Keep jobs whose department contains any of these strings.
postedWithinDays	integer	Only jobs posted in the last N days.
includeUndatedJobs	boolean	Keep jobs without a date when postedWithinDays is set.
onlyNewJobs	boolean	Monitoring mode.
stateStoreName	string	Named key-value store for monitoring state. One name per monitor.
includeDescription	boolean	Include the full description (default true). Off is much faster.
descriptionFormat	text, html, both	Description format.
maxJobsPerCompany	integer	Cap per site, 0 for no cap.
maxTotalJobs	integer	Cap per run, 0 for no cap.
maxConcurrency	integer	Sites scraped in parallel (1 to 20).

How to find the URL

Open the company's careers page, click Search jobs or any job, and copy the address up to the site name:

https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite
https://adobe.wd5.myworkdayjobs.com/external_experienced
https://salesforce.wd12.myworkdayjobs.com/External_Career_Site

Language prefixes such as /en-US/ are handled automatically.

Example input

{
  "companies": ["https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite", "https://adobe.wd5.myworkdayjobs.com/external_experienced"],
  "keywords": ["engineer"],
  "postedWithinDays": 14,
  "onlyNewJobs": true
}

Output

One dataset item per job. Example (description shortened):

{
  "uid": "workday:nvidia:JR2028754",
  "id": "JR2028754",
  "ats": "workday",
  "companySlug": "nvidia/NVIDIAExternalCareerSite",
  "companyName": "nvidia",
  "title": "Technical Program Manager, OEM Enablement",
  "location": "2 Locations",
  "locations": ["US, CA, Santa Clara", "US, SC, Remote"],
  "country": "United States of America",
  "isRemote": true,
  "employmentType": "Full time",
  "postedAt": "2026-10-27T00:00:00+00:00",
  "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/...",
  "salaryMin": null,
  "salaryMax": null,
  "hiringEntity": "2100 NVIDIA USA",
  "requisitionId": "JR2028754",
  "descriptionText": "At NVIDIA, we're at the forefront of innovation ...",
  "scrapedAt": "2026-10-27T17:20:24.064202+00:00"
}

Fields are always present and null when Workday does not publish them. uid is stable across runs. A RUN_SUMMARY record in the default key-value store lists every site with jobs found, matched and returned, and any error. A bad URL never stops the run.

Pricing

Pay per result: you pay only for jobs returned to your dataset. Filtered out jobs and already seen jobs in monitoring mode are free. Set Maximum cost per run and the Actor stops cleanly when it is reached.

Limits

• Workday's public listing endpoint returns at most about 2,000 jobs per site per query. Use keywords to split very large employers.
• Each job with a description needs one extra request. Speed is about 3 jobs per second per site with the polite rate limit, and sites run in parallel.
• Other ATS platforms (Greenhouse, Lever, Ashby, Workable, Recruitee) are covered by the companion ATS Jobs Scraper.

Is this legal?

The Actor only reads job postings that companies publish openly so that anyone can apply, using the public endpoints of the career site. It does not log in, does not bypass access controls, respects robots.txt and rate limits, and does not collect personal data about candidates or employees. You are responsible for how you use the data. If in doubt, consult a lawyer.

FAQ

I get "Workday rejected site". The site name part of the URL is wrong. Copy it again from the browser after opening the job search.

How fresh is the data? Live. Every run reads the site at run time.

Can I call it from code or an AI agent? Yes, through the Apify API, the Apify clients, or Apify's MCP server.