Building Reliable Web Access for AI Agents: Search, Crawl, Markdown, and Screenshots (opens in new tab)

AI agents are only as useful as the context they can reach. For many product, research, support, and competitive-intelligence workflows, that context lives on public websites: documentation pages, changelogs, pricing pages, articles, search results, screenshots, and long-tail reference content. The hard part is not simply "scraping a page." The hard part is giving an agent a repeatable web access layer that can: search for candidate sources, fetch static pages cheaply, render JavaScript-heavy...