Scott Helvick

I build Apify Actors designed to be called directly by AI agents and automated workflows -- the kind of tools an LLM can pick from a catalog and use correctly on the first try.

Adaptive multi-tier URL fetcher. Pays only for the difficulty each page actually needed:

• Plain HTTP, real browser, or stealth + residential proxy -- picked automatically per URL
• Handles Cloudflare, DataDome, Akamai, browser fingerprinting
• Outputs (free with any tier): HTML byte-for-byte, text, Markdown, links, JSON-LD, OpenGraph, meta tags, accessibility tree, screenshots
• Browser launch amortized across the batch; residential routing in 195+ countries

LLMs pick tools the way developers skim docs: they read the name, the schema, and the description. If those aren't clear, the tool gets skipped. So every Actor here has:

• Self-documenting input schemas: descriptions explain what each option accepts and when to use it.
• Predictable JSON output: fields named for humans and LLMs both, stable across runs.
• Pay-per-event pricing: pay per fetch, not per compute-minute. Your agent's budget tracks results, not setup time.
• Callable from anywhere: REST API, Python/Node SDKs, or the Apify MCP server. Drops into any agent framework.

• RAG pipelines that need fresh, JavaScript-rendered content
• Research agents that read articles, product pages, documentation
• Monitoring jobs against sites hostile to agents
• Anything where requests.get() returns a CAPTCHA or empty body