Workday Jobs Scraper — Company Careers, No API Key

Live job openings from any company that hires through Workday — NVIDIA, Salesforce, Adobe and tens of thousands of others. Paste the company's myworkdayjobs.com careers URL (always works) or just type a company name like nvidia (auto-discovered), and get every live posting as a clean row: title, location, remote, employment type, salary range parsed from the posting and annualized, exact posting date, requisition ID and the full description.

No API key, no login, no proxy, no headless browser — the actor calls the same public JSON endpoint the company's own careers page uses, so the data is exactly what a candidate sees, at the moment you run it.

Also hiring on Greenhouse, Lever or Ashby? → ATS Job Scraper. Need LinkedIn, Indeed and Glassdoor too — merged and deduplicated across 12 boards with only-new-jobs monitoring? → Multi Job Board Scraper

What you get

One row per live opening. Measured on the default run (NVIDIA + Salesforce + Adobe, 100 rows, 2026-08-15):

column	fill	notes
company, tenant, site	100%	which careers site the row came from
title, location, url	100%	canonical public posting URL
employment_type	100%	"Full time" / "Part time" (from the posting detail)
job_req_id	100%	the requisition ID recruiters use (e.g. R171155)
posted_at	100%	exact date from the posting detail (e.g. 2026-08-14)
posted_text	100%	Workday's own wording ("Posted Yesterday")
description, description_snippet	100%	full text + first 300 chars
salary_min / salary_max / salary_currency / salary_interval	33%	only when the posting itself states a range — parsed from the text, hourly/monthly figures annualized, never guessed
remote	34%	true when the posting says remote; null when there is no evidence — never guessed

Example row (real, from the default run):

{
  "company": "adobe",
  "tenant": "adobe",
  "site": "external_experienced",
  "title": "Senior Product Manager",
  "location": "San Jose",
  "remote": null,
  "employment_type": "Full time",
  "job_req_id": "R171155",
  "salary_min": 165600,
  "salary_max": 239725,
  "salary_currency": "USD",
  "salary_interval": "yearly",
  "url": "https://adobe.wd5.myworkdayjobs.com/en-US/external_experienced/job/San-Jose/Senior-Product-Manager_R171155",
  "source": "workday",
  "posted_at": "2026-08-14",
  "posted_text": "Posted Yesterday",
  "description_snippet": "About the role – Adobe.com reaches millions of customers…",
  "description": "…full posting text…"
}

Quick start

Run it with no input at all — you get up to 100 live jobs from the three sample companies. Then put your own targets in:

{
  "companies": ["nvidia", "coinbase"],
  "workdayUrls": ["https://adobe.wd5.myworkdayjobs.com/en-US/external_experienced"],
  "searchText": "machine learning",
  "maxItems": 200
}

URL or name? A pasted myworkdayjobs.com URL always works — it names the tenant and site exactly. A bare company name is auto-discovered (the actor probes Workday's hosts and the site slugs customers actually use, and caches the answer for future runs); discovery is best-effort — when it can't find the site, the run tells you exactly which company to paste a URL for, and never bills you for it.

Input reference

field	default	what it does
companies	2-company sample	Company names, auto-discovered. Your list replaces the sample entirely.
workdayUrls	1-URL sample	Any myworkdayjobs.com URL of the careers site — the reliable path.
searchText	""	Searched server-side by Workday itself, like the careers page's own search box.
locationContains	""	Keep only jobs whose location contains this text. Applied before billing.
remoteOnly	false	Keep only jobs with remote evidence (location/title/posting flag). Never guessed.
postedWithinDays	0 (off)	Keep only jobs posted in the last N days ("30+ Days Ago" counts as 31; undated jobs are kept, never guessed away).
onlyNewJobs	false	Job-alert mode — see below.
maxItems	100	Total cap across ALL companies, split round-robin so one giant tenant can't eat the budget. Your cost ceiling.
fetchDescriptions	true	Fetch each delivered job's detail: full description, exact date, employment type, req ID, salary. One extra request per delivered row — same price per row.

Every filter runs before billing — a filtered job is never charged.

🔔 Job alerts: onlyNewJobs + a schedule

Schedule the actor (daily or hourly) with onlyNewJobs: true and the same companies + filters:

• the first run is the baseline — it delivers everything and says so;
• every later run delivers only postings not seen before;
• a run where nothing is new delivers nothing, bills nothing, and says "Nothing new" plainly.

Watch memory lives in a named key-value store (workday-jobs-monitor) in your own account, pruned automatically (90 days / 50k keys). Point the run at Slack/email with a webhook and you have a hiring-signal feed for sales, recruiting or job hunting — companies posting new roles are companies with budget.

Use it from your code

// JavaScript — apify-client
const { ApifyClient } = require('apify-client');
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('flash_scraper/workday-jobs-scraper').call({
  companies: ['nvidia'], searchText: 'engineer', maxItems: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

# Python — apify-client
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("flash_scraper/workday-jobs-scraper").call(run_input={
    "companies": ["nvidia"], "searchText": "engineer", "maxItems": 100})
items = client.dataset(run["defaultDatasetId"]).list_items().items

# curl — run synchronously and get the dataset back
curl -X POST "https://api.apify.com/v2/acts/flash_scraper~workday-jobs-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies": ["nvidia"], "maxItems": 50}'

n8n / Make / Zapier

All three have a native Apify node/module: pick Run actor → flash_scraper/workday-jobs-scraper, pass the JSON input above, and read the default dataset when the run finishes. The onlyNewJobs mode pairs perfectly with a schedule trigger — new postings flow straight into a Slack message, a Google Sheet or your CRM, and quiet days cost you nothing.

Honest limits

• Workday customers only. If a company hires through Greenhouse/Lever/Ashby, use ATS Job Scraper; for LinkedIn/Indeed/Glassdoor use Multi Job Board Scraper.
• Bare-name discovery is best-effort. It resolves common setups (measured: nvidia, salesforce, spotify-style slugs); unusual site names need the careers URL pasted once — the run names exactly which company needs it.
• Custom career domains (careers.company.com) hide the tenant — paste the myworkdayjobs.com address that page actually loads.
• Salary only when stated. ~1 in 3 postings on the sample companies state a range (mostly US postings, where it's legally required); rows without one carry null, never a guess.
• remote is evidence-based: true only when the posting says so, null otherwise.
• Workday reports posting age coarsely past 30 days ("Posted 30+ Days Ago"); with fetchDescriptions on (the default) posted_at is the exact date from the posting detail.

Related actors

• ATS Job Scraper — Greenhouse, Lever & Ashby
• Multi Job Board Scraper — LinkedIn, Indeed, Glassdoor + 9 more
• Remote Job Aggregator — 10 boards, one feed
• LinkedIn Jobs Scraper — $0.50 per 1,000 jobs