Workday Jobs Scraper — search any Workday employer by name

Extract every open job from any Workday careers site — NVIDIA, Salesforce, Walmart, Adobe, Netflix, Target, Bank of America, Pfizer and thousands of other enterprises that hire through Workday. Just type the company name ("Adobe", "Capital One", "Target") — no need to hunt for the careers URL. Get title, department, location, posting date, job type, requisition ID, hiring legal entity and the full job description, as clean JSON/CSV/Excel.

Schedule it with "Only new jobs since last run" to receive a daily feed of newly posted roles.

Why use it

• 🔤 Search by company name — names are matched to the company's Workday tenant and career site automatically (myworkdayjobs.com and myworkdaysite.com). Companies with several career sites (e.g. Salesforce → Slack, Tableau, MuleSoft, internships) can be scraped all at once with All career sites.
• 🗂️ Department filter — "departments": ["Engineering", "Sales"] uses the site's own Job Category filter server-side and fills department on every job.
• 🏢 Built for Workday — uses Workday's own public careers API (the same one the careers page uses). No browser, no proxies → fast and cheap.
• 🔍 Server-side keyword search — query "data engineer" across a 10,000-job board in seconds instead of downloading everything.
• 📄 Full details — optional; adds the description, exact start date, time type (full/part time), countryCode, additionalLocations and legalEntity (the hiring subsidiary, e.g. "NDIN-Adobe Systems India Private Limited").
• 🧠 Job insights on every row (new) — jobFunction, seniority (intern / junior / mid-level / senior / staff/principal / manager/lead / director / executive) and workplaceType from the title and location; with Job insights on, also skills (60+ languages, clouds, data and business tools such as Python, AWS, Kubernetes, Salesforce, SQL, Figma), yearsExperienceMin, minimumEducation, visaSponsorship (offered / explicitly not offered) and securityClearance read from the description. Rule-based, instant and free — no AI credits. Filter by level with "seniority": ["senior", "staff"].
• 💰 Salary ranges — salaryMin / salaryMax / salaryCurrency / salaryPeriod parsed from the description (e.g. NVIDIA's "224,000 USD - 356,500 USD"). Use Only jobs with salary for pay-transparency research.
• 🛟 Reliable on huge boards — Workday returns at most 2,000 jobs per query, so bigger boards are split by job family automatically (NVIDIA: all 2,700+ jobs, not just 2,000); request timeouts + retries; if a run nears its timeout it stops cleanly and keeps all results.
• 🆕 New-jobs-only mode — perfect for alerts, sales triggers (hiring signals) and job boards.
• 📊 Company hiring signals — outputLevel: "companies" returns one row per company instead of job rows: total open jobs, new jobs in the last 7 / 30 / 90 days, breakdown by function (engineering, sales, data & AI…), seniority (intern → executive), department, location and employment type, remote share, salary transparency + median pay, the 5 latest jobs — and, on scheduled runs, new jobs, closed jobs and net headcount-plan change since the last run. One cheap row per account for CRM / Clay / Sheets.
• 🎯 Filters — title keywords, exclude words, locations, remote only, posted within N days, max per company.
• ➕ Also supports Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee, Personio, Breezy HR, Rippling, BambooHR, Teamtailor and Pinpoint URLs in the same run — plus Oracle Recruiting Cloud career sites (…oraclecloud.com/hcmUI/CandidateExperience/…, e.g. JPMorgan Chase, Oracle) with server-side keyword search, pay ranges and full descriptions, and SAP SuccessFactors career URLs (…successfactors.eu/career?company=…).

How to find a company's Workday URL

Usually you don't need to — type the company name. If a name isn't found (some companies use an internal tenant name), open the company's careers page → click any job → the address looks like https://COMPANY.wdN.myworkdayjobs.com/en-US/SITE_NAME/job/.... Copy it up to SITE_NAME, e.g. https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite.

Input example

{
  "companies": [
    "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite",
    "Adobe",
    "Capital One"
  ],
  "keywords": ["machine learning", "data engineer"],
  "departments": ["Engineering"],
  "locations": ["United States", "Remote"],
  "includeDescription": true,
  "onlyNewJobs": true
}

Hiring signals — one row per company, with new/closed jobs since the previous run (schedule it weekly):

{
  "companies": ["Adobe", "Target", "Capital One"],
  "outputLevel": "companies",
  "stateKey": "target-accounts"
}

Output example

{
  "id": "JR2016289",
  "title": "Senior Machine Learning Engineer, Perception",
  "company": "nvidia",
  "department": "Engineering",
  "jobReqId": "JR2016289",
  "legalEntity": "NVIDIA Corporation",
  "countryCode": "US",
  "additionalLocations": ["US, CA, Remote"],
  "careerSite": "NVIDIAExternalCareerSite",
  "location": "US, CA, Santa Clara, United States of America",
  "remote": false,
  "employmentType": "Full time",
  "salaryMin": 184000,
  "salaryMax": 287500,
  "salaryCurrency": "USD",
  "salaryPeriod": "year",
  "postedAt": "2026-08-29T00:00:00.000Z",
  "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Machine-Learning-Engineer_JR2016289",
  "ats": "workday",
  "description": "NVIDIA is looking for ..."
}

Company row (outputLevel: "companies", real data from Notion's board on 2026-10-07, lists shortened; sinceLastRun is illustrative — it appears from the second run with the same Monitor name):

{
  "type": "company",
  "company": "notion",
  "input": "notion",
  "ats": "ashby",
  "atsSlug": "notion",
  "careerSite": null,
  "totalOpenJobs": 133,
  "jobsAnalyzed": 133,
  "filtered": false,
  "datesAvailable": 1,
  "newJobsLast7Days": 10,
  "newJobsLast30Days": 30,
  "newJobsLast90Days": 104,
  "jobsPostedOver30DaysAgo": 103,
  "newestPostingAt": "2026-10-02T19:56:09.176Z",
  "oldestPostingAt": "2025-07-25T22:00:31.199Z",
  "medianJobAgeDays": 60,
  "remoteJobs": 88,
  "remoteShare": 0.662,
  "byFunction": [
    {
      "function": "sales",
      "jobs": 44
    },
    {
      "function": "engineering",
      "jobs": 32
    },
    {
      "function": "customer success & support",
      "jobs": 19
    }
  ],
  "bySeniority": [
    {
      "level": "mid-level",
      "jobs": 76
    },
    {
      "level": "manager/lead",
      "jobs": 25
    },
    {
      "level": "staff/principal",
      "jobs": 16
    }
  ],
  "byDepartment": [
    {
      "department": "Sales / Sales",
      "jobs": 24
    },
    {
      "department": "Sales / Solutions Consultant",
      "jobs": 19
    },
    {
      "department": "Engineering / Engineering",
      "jobs": 16
    }
  ],
  "byLocation": [
    {
      "location": "San Francisco, California; New York, New York",
      "jobs": 34
    },
    {
      "location": "San Francisco, California",
      "jobs": 28
    },
    {
      "location": "Tokyo, Japan ",
      "jobs": 15
    }
  ],
  "byEmploymentType": [
    {
      "employmentType": "FullTime",
      "jobs": 129
    },
    {
      "employmentType": "Intern",
      "jobs": 3
    },
    {
      "employmentType": "Contract",
      "jobs": 1
    }
  ],
  "jobsWithSalary": 88,
  "salaryTransparencyShare": 0.662,
  "salaryCurrency": "USD",
  "medianSalaryMinYearly": 182500,
  "medianSalaryMaxYearly": 229000,
  "latestJobs": [
    {
      "title": "Payroll Analyst",
      "location": "San Francisco, California",
      "postedAt": "2026-10-02T19:56:09.176Z",
      "url": "https://jobs.ashbyhq.com/notion/92de7ece-b7d9-4b2a-b9cb-b978cc690a46"
    }
  ],
  "sinceLastRun": {
    "previousRunAt": "2026-09-29T08:00:00.000Z",
    "jobsBefore": 128,
    "newJobs": 9,
    "closedJobs": 4,
    "netChange": 5,
    "changePct": 3.9,
    "newJobTitles": [
      "Account Executive, Enterprise"
    ],
    "closedJobTitles": [
      "Software Engineer, Mobile"
    ]
  }
}

Pricing

$1.50 per 1,000 jobs. No subscription. In new-jobs-only mode, already-seen jobs are never charged again.

Company hiring-signals rows (outputLevel: "companies"): $0.01 per company — job rows are not charged in that mode.

Use cases

• Recruiters & staffing agencies — see new enterprise openings the day they are posted.
• Sales teams — hiring for a role = buying signal for your product.
• Job boards & aggregators — feed niche boards from hundreds of Workday sites.
• Labor-market research — track hiring by company, function and location.

FAQ

Can I get one row per company instead of every job? Yes — set outputLevel to companies. Each row summarises the company's open jobs (after your keyword/location/department filters): totals, new jobs in the last 7/30/90 days (from posting dates; datesAvailable shows how many jobs have one), function and seniority mix (rule-based from title + department), top departments/locations, remote share and salary transparency. Run it on a schedule with the same Monitor name (stateKey) and every row gets sinceLastRun: new jobs, closed jobs, net change % and example titles — a hiring-spike or hiring-freeze alert for your target accounts. If a fetch was incomplete (timeout), closed jobs are reported as null instead of a false mass closure.

What are the job insight fields and how accurate are they? They are rule-based (keyword patterns, no AI), so they are fast, free and predictable. seniority comes from the title ("Senior", "Staff", "II/III", "Director", "Intern"...); titles with no level are mid-level, refined to junior (≤1 year asked) or senior (≥7 years) when the description states the experience. skills lists only tools and technologies explicitly named in the title or description. visaSponsorship is false only when the posting says sponsorship is not offered, true when it says it is, otherwise null. In a test on NVIDIA (Workday), Ramp (Ashby) and Spotify (Lever), senior/staff filtering returned 18 correctly levelled jobs with skills such as Python, C++, CUDA, PyTorch and Figma. With outputLevel: "companies" and an ATS whose list includes descriptions (Greenhouse, Lever, Ashby...), each company row also gets topSkills, medianYearsExperience, visa-sponsorship counts and the education mix — e.g. Ramp: Python 19%, Salesforce 17%, SQL 14% of 160 open jobs.

Can I just type the company name? Yes — e.g. "Adobe", "Capital One", "Target", "Intel", "Disney", "Salesforce". The Actor finds the company's Workday tenant and main career site; SUMMARY → careerSites shows which site was used. Some companies use an internal tenant name different from the brand — then paste the careers URL once.

How do I get only engineering (or sales) jobs? Add "departments": ["Engineering"]. Category names differ per company (PayPal uses "Technology Job Family Group", Capital One "AI & ML Engineering and Sciences"); partial words match, and if nothing matches the log prints that site's categories.

What is legalEntity? The hiring company/subsidiary from the job posting — handy to separate roles by country entity or acquired brands. Filled when "Include full job description" (or "Only jobs with salary") is on.

Do I need a proxy or login? No — it uses Workday's public careers API.

Why are salaries empty? Workday list pages don't include pay; salaries come from the job description, so turn on "Include full job description" or "Only jobs with salary". Companies outside pay-transparency regions often don't publish ranges.

My run stopped with "Stopped early to avoid the run timeout"? All jobs scraped so far are saved and SUMMARY lists skipped companies. Increase the run timeout, add keywords or set "Max jobs per company".

Is it legal? It reads only publicly posted job ads, no personal data.

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