Workday Jobs Scraper — Any Company, Salaries & Exact Dates
Pricing
from $0.90 / 1,000 jobs
Workday Jobs Scraper — Any Company, Salaries & Exact Dates
Jobs from any company's Workday careers site: type a company name or paste the URL. Salary ranges parsed from the description, exact posting date, job category, remote/hybrid, all locations. Gets past Workday's 2,000-job limit. Only-new-jobs mode.
Pricing
from $0.90 / 1,000 jobs
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Developer
Ángel Panadero Rodríguez
Maintained by CommunityActor stats
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1
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4 days ago
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Get the jobs of any company that hires through Workday (NVIDIA, Adobe, Capital One, Salesforce,
Target, universities, hospitals…) as clean, structured data. Just type the company name, or paste its
careers URL (anything on myworkdayjobs.com or myworkdaysite.com). Each job includes:
- Salary as numbers: min, max, currency and period (year or hour), yearly figures and an
approximate yearly amount in USD. Workday has no salary field: the pay range is read from the job
description, as US pay-transparency laws require ("$159,200 - $301,600", "272,000 USD – 431,250 USD",
"$20.82 - $37.48 per hour"). When a company lists one range per city, you get all of them in
salaryRanges, each with its city. - Exact posting date (
2026-11-06), not Workday's "Posted 30+ Days Ago". - Job category: the company's own job family (Engineering, Sales, Nursing, Finance…), on every job.
- Every location: main and additional locations, country and country code, remote / hybrid / on-site, full-time or part-time.
- Requisition ID, legal entity, the job and apply links, and the full description as plain text, Markdown or HTML.
Why this scraper
- By company name. No need to hunt for the right
wd5.myworkdayjobs.com/...address: type "Capital One" and it finds the careers site automatically. Companies with several public careers sites (e.g. students, experienced, a subsidiary) get all of them, without duplicates. If a name isn't found, paste the careers URL. - No 2,000-job limit. Workday stops every search at 2,000 results. Big employers have more, so this scraper splits the search by category (or country, or time type) and gets all of them.
- Salaries you can filter on. Only jobs with salary and Minimum yearly salary (USD) work across hourly and yearly pay and across currencies. Bonuses, sign-on bonuses and shift differentials are ignored, so they never get mistaken for the salary.
- Filters that save you money. Keywords, country, location, remote / hybrid / on-site, full or part-time, category, title words, exclusions, posting date and salary. Jobs that don't match are skipped and not charged. Country, remote, time type and category are applied on Workday's side when the company offers that filter, so filtered runs are also faster.
- Pay only for what's new. Turn on Only new jobs and schedule the run: each run returns only the jobs you haven't received yet. Perfect for job alerts and hiring trackers.
- Fast mode. Turn off Include full details for title, location, category, approximate date and link at 20 jobs per request.
- Compliant and reliable. It uses the same public JSON that the careers site loads in your browser,
reads each company's
robots.txtand skips any careers site it disallows. Polite pace, slows down or stops on its own if Workday asks it to. No login, no cookies, no proxy needed. - No personal data. Recruiters' e-mails and phone numbers are removed from descriptions by default, so your dataset stays GDPR-friendly.
Use cases
- Job seekers and job alerts: new jobs at your target companies, every day, with pay.
- Recruiters and sales teams: which companies are hiring, for which roles, where.
- Compensation benchmarking: real pay ranges by role, level, city and company.
- Job boards and aggregators: a clean feed straight from employers' own careers sites.
- Investors and analysts: hiring as a growth signal, by department and country.
Input
| Field | Description |
|---|---|
companies | Company names ("NVIDIA") and/or Workday careers URLs (home page, search with filters, or one job) |
keywords | Searched with Workday's own search (title and description), one search per keyword |
countries, locations | e.g. US, Germany; Berlin, TX, Remote |
workplaceTypes, timeTypes | remote, hybrid, onsite; full-time, part-time |
jobCategories, titleMustContain, excludeTitleKeywords | e.g. Engineering; engineer; intern, senior |
postedWithinDays | Fresh jobs only (exact date) |
withSalaryOnly, minYearlySalaryUsd | Pay filters |
includeDetails, descriptionFormat | Full details (default) or fast mode; text, Markdown, HTML, all or none |
onlyNewJobs + stateKey | Return only jobs not delivered before. One state key per scheduled task. |
maxItems, maxItemsPerCompany | Caps per run and per company (0 = no limit) |
Example: data jobs in the US at three companies, posted in the last 7 days, paying at least $150,000 a year, new jobs only:
{"companies": ["NVIDIA", "Capital One", "https://adobe.wd5.myworkdayjobs.com/external_experienced"],"keywords": ["data engineer", "data scientist"],"countries": ["US"],"postedWithinDays": 7,"minYearlySalaryUsd": 150000,"onlyNewJobs": true,"stateKey": "data-us"}
Output
{"id": "adobe:Staff-Security-Data-Engineer_R171875-1","jobId": "5d8f0278e5101000c2fce85aee6c0000","jobReqId": "R171875","url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Staff-Security-Data-Engineer_R171875-1","applyUrl": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Staff-Security-Data-Engineer_R171875-1/apply","title": "Staff Security Data Engineer","companyName": "Adobe","legalEntity": "Adobe Inc.","companyTenant": "adobe","careerSite": "external_experienced","careerSiteUrl": "https://adobe.wd5.myworkdayjobs.com/external_experienced","jobCategory": "Engineering","timeType": "full-time","location": "San Jose","additionalLocations": ["San Francisco"],"locationsCount": 2,"country": "United States","countryCode": "US","salaryText": "$159,200 - $301,600","salaryMin": 159200,"salaryMax": 301600,"salaryCurrency": "USD","salaryPeriod": "YEAR","salaryYearlyMin": 159200,"salaryYearlyMax": 301600,"salaryYearlyUsdMin": 159200,"salaryYearlyUsdMax": 301600,"datePosted": "2026-09-28","postedDaysAgo": 30,"postedOnText": "Posted 30+ Days Ago","description": "Our Company. Changing the world through digital experiences is what Adobe's all about. ...","searchKeyword": "data engineer","scrapedAt": "2026-11-07T13:20:11Z"}
Other fields when available: workplaceType and remoteType (remote / hybrid / on-site and the
company's own label), employmentType, validThrough, salaryRanges (one per city or level),
salaryIsInferred (period deduced from the amount) and salaryLooksWrong (implausible amount).
You can download the results as JSON, CSV, Excel or XML, or get them through the Apify API.
FAQ
My company isn't found by name. Paste its careers URL instead: open the company's careers page,
click any job, and copy the address if it contains myworkdayjobs.com or myworkdaysite.com. If it
doesn't, the company doesn't use Workday for its public job postings.
How accurate are the salaries? They are what the employer wrote in the job description. Amounts in
other currencies are converted to salaryYearlyUsdMin/Max with fixed, approximate exchange rates, so
use those for comparing and filtering; the original amount and currency are always kept. Jobs whose
description has no pay range have no salary fields.
How fast is it? About 2-3 requests per second: one per job with full details, or one per 20 jobs in fast mode. A company with 1,000 jobs takes about 7 minutes with full details.
Is it legal? The scraper collects publicly available job postings from employers' public careers
sites and respects each site's robots.txt. It does not log in. You are responsible for using the data
in line with the sites' terms and applicable law, such as GDPR. This Actor is not affiliated with or
endorsed by Workday, Inc. or any employer; Workday and the company names and logos belong to their
owners.
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