Apify builder
Alexandre de La Fayette Leaderboard position
out of 6,961
New actors
#342
Total actors
#1,284
↑ +66
Monthly users
#1,732
↑ +56
Total users
#3,005
↑ +70
Monthly runs
#1,901
↑ +3,255
Total runs
#4,436
↑ +1,492
Portfolio stats
New actors
7
Total actors
7
↑ +2
Monthly users
7
↑ +2
Total users
14
↑ +4
Monthly runs
162
↑ +157
Total runs
163
↑ +157
New actors
Each bar shows one day in the last 30 days.
Portfolio concentration
6 of 7 actors cover 80%+ of monthly users.
Input: a domain such as stripe.com. Output: company name, description, domain age, registrar, DNS and email provider, technology stack, hiring platform and social handles. Use when you have a website and need to know what the company is and what it runs on.
14%
users
Input: repositories as owner/name. Output: stars, forks, open issues, latest release and tag, licence, language, topics and an abandonment flag. Use when you need to check whether a project is active, popular or stale.
14%
users
Input: packages as npm:react, pypi:requests or crates:serde. Output: latest version, release date, licence, maintainers, dependency count and an abandonment flag. Use when you need to check whether a dependency is current, maintained or stale.
14%
users
Input: any website URL. Output: recent articles with title, link, summary, author, publish date and categories. The RSS or Atom feed is located automatically, so no feed URL is needed. Use when you need recent posts from a site without crawling it.
14%
users
Input: any website URL. Output: every page the site lists in its sitemap, with last-modified date, change frequency and priority. Sitemap indexes are followed automatically. Use when you need a complete URL inventory of a site without crawling it.
14%
users
Search live jobs across 789 verified company boards on Workday, Greenhouse, Lever, Ashby, SmartRecruiters and Workable - no company slugs needed. Filter by keyword, location, department, remote and date. Includes Workday, which the other ATS scrapers do not cover.
14%
users
ActorHunt MCP
ActorHunt gives paid members MCP access to keyword data, actor evidence, and Store movement for deciding what to build next.
