How to Scrape Job Listings from Workday Career Sites (Without Writing a Scraper)

说明与用途

使用 Apify Actor 自动抓取 Workday 职位列表，输出 CSV/JSON/Excel 结构化数据。

问题

Tracking job openings across multiple Workday-based career sites is difficult because each site is a separate subdomain, renders with JavaScript, and manual copying does not scale.

结果

The Actor returns each job with fields such as title, company, location, country, timeType, postedOn, postedDate, jobId, and url, enabling automated tracking, niche job board creation, and hiring trend analysis.

工作流

• 1. Open the Apify Actor page for Workday Jobs Scraper and click "Try for free".
• 2. Fill in the input form with career site URLs and optional search text.
• 3. Click "Start" and wait for the run to finish.
• 4. Export the results as CSV, JSON, or Excel.
• 5. (Optional) Run the Actor from Python by installing apify-client, creating an ApifyClient with a token, defining run_input with careerSiteUrls, searchText, and maxJobsPerSite, calling the actor, and iterating over the dataset items to process the job data.

证据

I needed this for my own job search, so I built a small Apify Actor that pulls Workday job listings into structured data.

来源

Each job comes back with these fields: title, company, location, country, timeType, postedOn, postedDate, jobId, url.

来源

It's pay-per-result: $0.80 per 1,000 jobs, and you only pay for what you scrape.

来源