Career Site Jobs Scraper - Greenhouse, Lever, Ashby, Workday
Pricing
$1.00 / 1,000 results
Scrape jobs straight from company career sites on Greenhouse, Lever, Ashby, Workday, SmartRecruiters, Workable, Recruitee, Personio, Teamtailor and BambooHR. Title, department, location, remote flag, salary, posting date, apply link and description. No login.
One company per line. Paste the URL of the company's job list, for example https://boards.greenhouse.io/stripe, https://jobs.lever.co/spotify, https://jobs.ashbyhq.com/openai or https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite. You can also paste the company's own careers page (like https://www.example.com/careers) and the Actor looks for the job board it links to. Short ids like greenhouse:stripe or lever:spotify work too. Supported: Greenhouse, Lever, Ashby, Workday, SmartRecruiters, Workable, Recruitee, Personio, Teamtailor and BambooHR.
Stop after this many matching jobs from each company. Leave empty to get every matching job. The newest jobs come first where the job board shows dates.
Maximum number of jobs to save in total, across all companies.
Keep only jobs whose title contains one of these words or phrases, for example "engineer", "product manager" or "sales". Not case sensitive. Leave empty to keep all jobs.
Skip jobs whose title contains one of these words, for example "intern" or "senior".
Keep only jobs whose location or country contains one of these, for example "London", "Germany", "New York" or "US".
Keep only jobs marked as remote (by the job board, or by the word "remote" in the location or title). Hybrid jobs are not included.
Keep only jobs posted in the last N days. Jobs without a posting date are skipped when this is set.
Keep only jobs whose department or team contains one of these, for example "Engineering", "Marketing" or "Sales".
Add the full job description as plain text. On Workday, SmartRecruiters and BambooHR this needs one extra request per job, so turning it off makes big runs much faster.
Add the original HTML of the description next to the plain text, with headings, lists and links.
Cut the plain text description after this many characters to keep the dataset small. Leave empty for the full text.
