Pricing

$1.00/month + usage

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Workday Jobs

Try for free

Developed by

Gooyer

Unlock the potential of the Workday Jobs landscape with our advanced scraper, designed to meticulously gather detailed job listings from Workday platforms. Ideal for data analytics and project enrichment, it navigates through search results to fetch exhaustive job details efficiently.

4.0 (1)

Pricing

$1.00/month + usage

Total users

121

Monthly users

Runs succeeded

>99%

Issues response

34 days

Last modified

3 days ago

Jobs

Automation

Start URLs

startUrlsarrayRequired

List of Workday job URLs to scrape

Pagination Limit

paginationintegerOptional

Number of pages to scrape for each query. Default is 1. 0 means all pages.

Default value of this property is 1

Posted On

postedAtstringOptional

Select minimum date in format YYYY-MM-DD or {number} {unit}

Start Date

startAtstringOptional

Maximum date in format YYYY-MM-DD or {number} {unit}

Locations

locationsarrayOptional

Filter jobs by locations. Use semicolons to separate multiple locations (e.g., 'New York, NY; Chicago, IL; Los Angeles, CA'). Partial matching is supported.

Job Details

detailsbooleanOptional

If checked, the actor will open each job detail page and scrape more detailed information.

Default value of this property is true

Stats

statsbooleanOptional

If checked, the actor will scrape stats information.

Default value of this property is false

Proxy configuration

proxyUrlsobjectRequired

Select proxies to be used by your crawler.

Workday Jobs Crawler

jupri/workday

💫 Scrape Workday Jobs Websites

cat

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fantastic-jobs/career-site-job-listing-api

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dlandberg/greenhouse

Scrape jobs posted from companies that use Greenhouse as their applicant tracking software. Easily get content, salary ranges, location, and much more.

Dmitry Landberg

121

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scrapestorm/simplyhired-jobs-scraper---faster-cheaper

SimplyHired Jobs Scraper 🖥️💼🔎📈 lets you extract detailed job data with customizable filters. Gather insights on job titles, descriptions, companies, salaries, locations, and more for research or marketing! 🌟📊📝 Perfect for analyzing job market trends and popular listings.