Workday Jobs Scraper & API

Workday Jobs Scraper & API — search 850,000+ live jobs scraped from Workday, the enterprise HR platform behind many of the world's biggest employers, used by companies like NVIDIA, Mastercard, Salesforce, Adobe, and Walmart. One normalized JSON schema, verified daily, zero ghost jobs. Open the actor, hit Try for free, and run the default input (queries: ["Software Engineer", "Account Manager"]) — no code or API key required.

What does Workday Jobs Scraper do?

• Searches 850,000+ live Workday jobs across thousands of company boards in one call — no board tokens, no per-company setup
• Filters by work model, employment type, experience level, salary range, skills, companies, and posting date
• Excludes noise with negative keywords — prefix any query token with - (["Software Engineer", "-staff"])
• Returns de-duplicated, verified listings — duplicates merged by company + canonical title + listing URL, expired jobs removed daily, so no ghost jobs
• Enriches every job with AI-extracted data: typed hard/soft skills, responsibilities, benefits, a 2–3 sentence summary, geocoded locations, USD-normalized salaries, and work-authorization signals (H1B sponsorship, clearance)
• Optionally attaches the full company profile — funding, leadership, ratings, tech stack, H1B history — with one switch
• Exports to JSON, CSV, or Excel, and plugs into schedules, webhooks, Zapier, Make, and the Apify API

Why scrape Workday jobs?

Workday is the enterprise HR platform behind many of the world's biggest employers — banks, retailers, chipmakers, telcos, and insurers all run their hiring through per-company Workday career sites. That scale makes it one of the largest sources of corporate job data available, and this actor fronts Jobo's biggest single-ATS inventory by a wide margin. Enterprise listings are also unusually rich: salary bands increasingly disclosed under US pay-transparency rules, explicit work-authorization requirements, multi-location postings — exactly the structured fields job boards and market analysts need.

Jobo's live Workday index currently holds 850,000+ open roles, roughly three-quarters of them in the United States, with India, the UK, and China next. Companies hiring through Workday right now include NVIDIA, Mastercard, Salesforce, Adobe, Visa, Walmart, Bank of America, AT&T, HP, Target, and Comcast — plus thousands of other large employers.

Can I use the official Workday API instead?

There isn't one — Workday offers no official public jobs API at all. Its developer portal documents only Staffing APIs that require customer authentication, and public career sites run on undocumented endpoints that differ from tenant to tenant. No ATS offers a public cross-company search API — Workday doesn't even offer a per-company one. That's the gap this actor closes: one query across every Workday career site Jobo indexes, with normalized fields no tenant exposes — geocoded locations, USD-normalized salaries, and AI-extracted skills.

What data can you extract from Workday?

Every result is a structured job record in Jobo's normalized schema — the same shape across all Jobo actors, so you can mix sources freely. Highlights:

Field	Description
title / normalized_title	Raw posting title + canonical title for grouping
company	Company preview: name, website, logo, summary, industries (+ id for enrichment)
locations	Geocoded: city, region, country, latitude/longitude
compensation	{min, max, currency, period}, normalized to annual USD for filtering
employment_type / workplace_type / experience_level	e.g. "Full-time" / "Remote" / "Mid Level"
qualifications	AI-extracted must-have & preferred skills (typed hard/soft), education, certifications
responsibilities / benefits	Bullet lists extracted from the description
summary / description	2–3 sentence AI recap + full description, HTML stripped
listing_url / apply_url	Canonical Workday listing + direct apply link
is_h1b_sponsor / is_work_auth_required / is_clearance_required	Work-authorization signals
date_posted / created_at / updated_at	Employer posting date + Jobo index/refresh timestamps
source	Always "workday" for this actor

Set include_company_details: true to replace the company preview with the fully enriched profile: funding rounds and investors, leadership, employee ratings, tech stack, headcount and revenue bands, and H1B filing history. The complete field list is on this page's Output schema tab and at docs.jobo.world.

How much does it cost?

This actor uses pay-per-result pricing: you pay a fixed rate per job record returned — the current rate is in the pricing box on this page. There are no separate compute, proxy, or storage charges, and a run never returns more than page_size results, so spend is fully predictable. Apify's free plan includes enough credit to pull thousands of jobs, so you can evaluate the full dataset before paying anything.

How do I scrape Workday jobs?

1. Open the actor and click Try for free — you'll need a free Apify account.
2. Enter your search on the Input tab: keep the default queries (["Software Engineer", "Account Manager"]) or add your own titles and locations.
3. Narrow with filters (optional): work model, experience level, salary range, skills, or specific companies.
4. Click Start. A typical run finishes in under a minute.
5. Export your results from the Output tab as JSON, CSV, or Excel — or connect a schedule, webhook, or integration to make it run on autopilot.

⬇️ Input

Every field is optional — an empty input returns the newest Workday jobs. Up to 5 queries are OR-ed together; prefix a token with - to exclude it.

Parameter	Type	Description
queries	array (≤5)	Job titles or keywords, OR-ed. -token excludes.
locations	array	Cities, regions, or countries — geocoded server-side.
work_models	array	remote, hybrid, onsite.
employment_types	array	full-time, part-time, contract, internship, freelance, temporary.
experience_levels	array	intern, entry, mid, senior, lead, executive.
skills_include / skills_exclude	array	Match against AI-extracted skills.
companies_include / companies_exclude	array	Filter by company name (case-insensitive).
min_salary_usd / max_salary_usd	integer	Annual USD bounds; jobs without a disclosed salary are excluded when set.
posted_after / posted_before	string	ISO 8601 (2026-01-01) or relative (7 days ago).
page / page_size	integer	Page 1–100 × 1–100 results per page (default 50).
include_company_details	boolean	Attach the full enriched company profile (default false).

The full input schema with defaults is on this page's Input schema tab.

Remote roles, biggest page

{
  "queries": ["Software Engineer"],
  "work_models": ["remote"],
  "page_size": 100
}

Senior data and ML roles at NVIDIA, Mastercard, and Visa, 150k+ USD

{
  "queries": ["Data Engineer", "Machine Learning Engineer"],
  "companies_include": ["NVIDIA", "Mastercard", "Visa"],
  "experience_levels": ["senior", "lead"],
  "min_salary_usd": 150000,
  "page_size": 100
}

⬆️ Output example

Results land in the dataset under two views: Workday Job Listings (one row per job) and Company details (populated when include_company_details is on). Export as JSON, CSV, or Excel. A typical record:

{
  "id": "480c81d7-61db-419d-8e05-1fdff8dd00d7",
  "title": "Software Engineer",
  "normalized_title": "Software Engineer",
  "summary": "Responsible for developing, enhancing, and supporting software applications within an agile environment. The role involves designing solutions and translating business requirements into technical implementations…",
  "company": {
    "id": "014d801b-b3b3-44b9-9567-813026561a34",
    "name": "Solar Turbines",
    "website": "https://www.solarturbines.com",
    "logo_url": "https://images.jobo.world/logos/CaterpillarCareers.jpg",
    "industries": ["Industrial Machinery & Equipment"],
    "details_url": "https://connect.jobo.world/api/companies/014d801b-b3b3-44b9-9567-813026561a34"
  },
  "locations": [
    {
      "location": "Peoria, Illinois",
      "city": "Peoria",
      "region": "Illinois",
      "country": "United States",
      "latitude": 40.71018088,
      "longitude": -89.58098899
    }
  ],
  "compensation": { "min": 97530, "max": 158480, "currency": "USD", "period": "yearly" },
  "employment_type": "Full-time",
  "workplace_type": "On-site",
  "experience_level": "Mid Level",
  "qualifications": {
    "must_have": {
      "education": ["Bachelor's degree in computer science, Engineering, or equivalent experience"],
      "skills": [
        { "name": "Software Development", "type": "hard" },
        { "name": "SDLC", "type": "hard" },
        { "name": "System Integration", "type": "hard" }
      ]
    },
    "preferred": {
      "skills": [
        { "name": "React", "type": "hard" },
        { "name": "TypeScript", "type": "hard" }
      ]
    }
  },
  "is_work_auth_required": true,
  "is_h1b_sponsor": false,
  "listing_url": "https://cat.wd5.myworkdayjobs.com/CaterpillarCareers/job/Peoria-Illinois/Software-Engineer_R0000381373",
  "apply_url": "https://cat.wd5.myworkdayjobs.com/CaterpillarCareers/job/Peoria-Illinois/Software-Engineer_R0000381373",
  "source": "workday",
  "date_posted": "2026-07-08T00:00:00Z",
  "description": "…full job description, HTML stripped…"
}

What can you expect from a run?

• One run returns one page — up to 100 results per call. Walk page 1→100 to reach 10,000 jobs per query; for full-inventory pulls use ATS Jobs Feed (cursor pagination, 1,000 jobs per batch).
• Freshness: every listing is re-verified daily; expired jobs are removed within 24 hours of disappearing from the source board.
• Salaries are normalized to annual USD using current FX rates, so min_salary_usd works across currencies.
• Geocoding is best-effort — loose strings like "Worldwide" won't geocode, but the raw location string is always preserved.
• industries can be empty for long-tail companies that Jobo's enrichment pipeline hasn't profiled yet.
• source is always "workday" — handy for provenance when you mix datasets from several Jobo actors.

Integrations, API & MCP

Everything on the Apify platform works out of the box: schedules (hourly/daily/weekly runs), webhooks on run completion, and one-click integrations with Zapier, Make, n8n, Slack, Google Sheets, and Google Drive.

Prefer code? Call this actor as a Workday jobs API from Python or JavaScript with the Apify API clients — start a run, wait for it, and page through the dataset in a few lines (ready-made snippets are in the API section of this page). AI agents can run it through the Apify MCP server, which exposes this actor as a tool.

Use cases

Who	What for
Job boards	Enterprise-scale aggregators built on the largest single-ATS inventory anywhere
AI agents	Career copilots and résumé-matching agents grounded in live Fortune 500 openings
Recruiters	Sourcing intel on who's hiring at NVIDIA, Mastercard, Walmart, and thousands of enterprise peers
HR tech	Workforce-planning dashboards scoped to the world's biggest employers
Salary research	Compensation benchmarks from pay-transparency salary bands at large employers
Market research	Hiring-velocity tracking across Fortune 500 companies and industries

❓ FAQ

Should I use this actor or ATS Jobs API?

Use this actor if you only need Workday — simpler input, identical output schema. Use ATS Jobs API to search Workday together with Greenhouse, SmartRecruiters, iCIMS, and 70+ other platforms in one call.

How do I download more than 10,000 jobs?

Use ATS Jobs Feed — it streams the full inventory with cursor pagination at 1,000 jobs per batch, built for ETL pipelines.

Are duplicate listings removed?

Yes. Jobo de-duplicates by company + canonical title + listing URL before results are returned, so cross-posted duplicates of the same role are merged.

Can I filter by salary?

Yes — min_salary_usd / max_salary_usd, matched against USD-normalized compensation. Jobs that don't disclose a salary are excluded whenever a salary filter is set.

How fresh is the data?

New Workday jobs are indexed within 24 hours of appearing; every listing is re-verified daily and removed within 24 hours of expiring.

Why is Workday so hard to scrape directly?

Every Workday customer gets its own career site on its own tenant, served by undocumented endpoints whose structure, pagination, and payload vary from company to company — and there is no public jobs API to fall back on. This actor absorbs that complexity: Jobo scrapes and normalizes the tenants continuously, so you query one schema instead of thousands of bespoke career sites.

Does this actor cover internal Workday requisitions?

No — it indexes publicly published career sites only, the listings employers post to be found. Internal-only requisitions never appear.

Where can I check if the API behind this actor is up?

At jobo.world/status — the live status page for the Jobo Connect API that powers every Jobo actor.

⚖️ Is it legal to scrape Workday job listings?

Yes — this actor only extracts publicly posted job listings, the content employers publish specifically to be found and shared. It does not collect private user data. Note that scraped results can incidentally contain personal data (e.g., a recruiter's name in a job description); personal data is protected by the GDPR and similar regulations, so only process it with a legitimate reason and consult a lawyer if unsure. Read more in Apify's guide to the legality of web scraping.

Workday is a trademark of Workday, Inc. This actor is an independent product and is not affiliated with, endorsed by, or sponsored by Workday, Inc.

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About Jobo & support

Jobo builds job-data infrastructure: a normalized, daily-verified index of jobs scraped directly from company ATS boards, powering job boards, AI agents, and HR-tech products.

• Questions or bugs? Open a ticket on this actor's Issues tab — issues are answered within hours.
• Website: jobo.world · Enterprise API: jobo.world/enterprise · API status: jobo.world/status
• Email: enrico@jobo.world