Workday Job Scraper
Pricing
Pay per usage
Workday Job Scraper
Scrape Workday-powered career sites to extract job titles, locations, job families, posting dates, and application links. Workday is an enterprise HR platform used by Fortune 500 companies and large organizations to host their career pages.
Pricing
Pay per usage
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0.0
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Developer

Donny Nguyen
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Bookmarked
2
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0
Monthly active users
2 days ago
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What does Workday Job Scraper do?
Scrape Workday-powered career sites to extract job titles, locations, job families, posting dates, and application links. Workday is an enterprise HR platform used by Fortune 500 companies and large organizations to host their career pages. It runs on the Apify platform and delivers structured data in JSON, CSV, or Excel format, ready for analysis, integration, or automation workflows. Workday Job Scraper handles pagination, retries, and proxy rotation automatically so you can focus on using the data.
Why use Workday Job Scraper?
- No coding required — configure inputs in a simple web UI and click Start
- Export anywhere — download results as JSON, CSV, or Excel, or connect via API
- Scheduled runs — set up recurring scrapes to keep your data fresh (hourly, daily, weekly)
- Scalable — process hundreds or thousands of items with automatic proxy rotation and retry logic
- Integrations — connect to Google Sheets, Slack, Zapier, Make, webhooks, and more through the Apify platform
How to use Workday Job Scraper
- Navigate to the Workday Job Scraper page on Apify Store and click Try for free
- Configure your input parameters (see Input Configuration below)
- Click Start and wait for the run to complete
- View results in the Output tab — use the formatted table or switch to raw JSON
- Download your data as JSON, CSV, or Excel, or access it via the Apify API
Input configuration
| Field | Type | Description | Default |
|---|---|---|---|
| Workday Career Site URLs | array | List of Workday career site URLs to scrape (e.g., https://company.wd5.myworkdayj... | ['https://walmart.wd5.myworkdayjobs.com/en-US/WalmartExternal'] |
| Max Results | integer | Maximum number of job listings to extract across all provided URLs. | 100 |
| Max Pages to Load | integer | Maximum number of pages to load via pagination or 'Show More' button clicks per ... | 10 |
| Scrape Full Descriptions | boolean | If enabled, the scraper will click into each job posting to extract the full des... | False |
| Use Residential Proxy | boolean | Enable residential proxies for higher success rates. Strongly recommended for Wo... | False |
Output data
The actor stores results in a dataset. Each item in the dataset represents one extracted record with structured fields. You can preview the data in the Output tab's formatted table view.
Key output fields include: URL, Description Html, Description, Scraped At, Error Message.
Example output:
{"url": "https://example.com/url","descriptionHtml": "Example Description Html","description": "Example Description","scrapedAt": "Example Scraped At","errorMessage": "Example Error Message","additionalDetails": "Example Additional Details"}
Each run also produces an execution log with detailed information about pages processed, items extracted, and any errors encountered.
Cost of usage
Workday Job Scraper uses Pay-Per-Event pricing (Mid tier). Each successfully extracted result costs approximately $0.0008 ($0.75 per 1,000 results).
On a free Apify plan ($5/month platform credit), you can extract approximately 6,666 results per month.
Example: Extracting 1,000 results would cost approximately $0.75.
Tips and advanced usage
- Proxy configuration: This actor uses a headless browser. For sites with anti-bot protection, enable residential proxies in the input configuration for better success rates.
- Large datasets: For runs with thousands of results, increase the memory allocation in Run Options to speed up processing. The actor automatically manages request queues and pagination.
- Scheduled runs: Use Apify Schedules to run this actor on a recurring basis. Combined with integrations (webhooks, Google Sheets, Slack), you can build automated data pipelines that keep your datasets up to date.
- API access: Every dataset is accessible via the Apify API. Use the REST API or official Python/JavaScript clients to integrate results directly into your applications.