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

Описание и применение

Автоматический сбор вакансий с сайтов Workday с помощью Apify Actor, позволяющий экспортировать данные в CSV, JSON или Excel.

Задача

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.

Результат

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.

Рабочий процесс

• 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.

Доказательства

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

Источник

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

Источник

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

Источник