Apify builder
Scott Helvick I build agent-callable Apify Actors for structured data extraction; for LLM agents, RAG, research pipelines, or any other use case of agentic economy.
Leaderboard position
out of 4,039
New actors
#139
Total actors
#501
↑ +1,157
Monthly users
#897
↑ +1,217
Total users
#1,818
↑ +1,175
Monthly runs
#1,497
↑ +1,843
Total runs
#1,959
↑ +1,314
Portfolio stats
New actors
10
Total actors
10
↑ +9
Monthly users
13
↑ +12
Total users
24
↑ +22
Monthly runs
102
↑ +101
Total runs
415
↑ +392
New actors
Each bar shows one day in the last 30 days.
Portfolio concentration
8 of 10 actors cover 80%+ of monthly users.
Stealth browser agent that bypasses bot detection on defended websites. Send a URL and a natural-language task; the AI agent navigates, clicks, fills and submits forms, and automates multi-step flows, returning structured JSON — with anti-detection fingerprinting and residential proxy.
23%
users
Audit an Apify Actor for discoverability by LLM agents and Apify Store ranking. Scores description quality, schema, disambiguation, agentic-pay, maintenance, and live agent-search retrieval across 10 dimensions, returning copy-paste-ready fixes so agents can find and call it as a tool.
15%
users
Decide whether to build a new Apify Actor for a niche. Pulls demand from Apify Ideas + HN/Reddit/GitHub/Stack Exchange and supply from the Apify Store + ProductHunt/G2/Capterra, then returns a PURSUE/CONSIDER/SKIP verdict with rationale, top-5 competitor table, and pricing recommendation.
8%
users
Find businesses to buy: aggregate business-for-sale and small-M&A listings from many broker marketplaces into one normalized, deduplicated acquisition deal feed. Filter by sector, location, asking price, and revenue; get price, revenue, cash flow, broker, and source link per listing.
8%
users
Compiles a cited enforcement and accountability profile for a company or organization from official U.S. public records — federal courts, the DOJ, FTC, OSHA, and NLRB. Every finding links to its official source. Public records on organizations only; one entity per run.
8%
users
Analyze how saturated a local market is. Give a business category and a location; get an aggregated Google Maps competitive landscape: competitor count, rating/review/price distributions, incumbent strength, and a 0-1 saturation score. Aggregate stats, not a lead list.
8%
users
Normalize SEC EDGAR XBRL filings into comparable company financial statements as JSON. Give a ticker or CIK; get a standardized 10-K income statement, balance sheet, and cash flow, each line citing its XBRL tag and checked against accounting identities. Sector-aware (standard/financial/insurance).
8%
users
Track corporate insider trading from SEC EDGAR. Give a ticker or CIK; get normalized Form 4/3/5 insider transactions as JSON: who traded (officer, director, 10% owner), buy/sell/grant/exercise, shares, price, value, shares held after, and dates. Deterministic parsing of public SEC data.
8%
users
ActorHunt MCP
ActorHunt gives paid members MCP access to keyword data, actor evidence, and Store movement for deciding what to build next.
