Apify builder
VER RR Leaderboard position
out of 10,354
New actors
#1,048
Total actors
#2,442
↑ +3,443
Monthly users
#2,951
↑ +3,167
Total users
#4,397
↑ +3,271
Monthly runs
#8,845
↑ +510
Total runs
#8,226
↑ +1,770
Portfolio stats
New actors
6
Total actors
6
↑ +5
Monthly users
6
↑ +5
Total users
12
↑ +10
Monthly runs
7
↑ +6
Total runs
52
↑ +46
New actors
Each bar shows one day in the last 30 days.
Portfolio concentration
5 of 6 actors cover 80%+ of monthly users.
Scrape job postings from any public Greenhouse or Lever careers board. One clean JSON record per job with company, title, location, department, employment type, full description text, posted and updated dates, and the apply link. Works from board names, no login and no proxy needed.
17%
users
Verify a lead list after any scraper: phones to E.164 with line type, websites checked as live, redirected, parked or dead, mail servers, duplicates and a 0 to 100 score with reasons. Keeps every original field. Reads a dataset or pasted records and is built to run as an integration after a scraper.
17%
users
Convert PDF, Word, PowerPoint, Excel, HTML and text files to clean Markdown, page-numbered chunks and tables as JSON rows, ready for RAG and AI agents. Paste URLs or pick a dataset from any Actor. Scanned pages are read by OCR. Pay per document, plus a small fee per 100 PDF pages past the first 100.
17%
users
Get EU public tenders and contract awards from TED plus US federal funding calls from Grants.gov as one clean JSON record per notice. Filter by keyword, country, CPV code and notice type, and switch on new-notices mode for a daily digest. Official keyless APIs, no login and no proxy needed.
17%
users
New SEC Form D filings as a funding-signal feed. One clean JSON record per filing with issuer, amount raised and sold, first-sale date, industry group, location and revenue range. Operating companies by default, with filters for state, industry and offering size. Company-level data only.
17%
users
ActorHunt MCP
ActorHunt gives paid members MCP access to keyword data, actor evidence, and Store movement for deciding what to build next.
