TinyFish

TinyFish is an AI web agent tool built for teams that need live web actions rather than static scraped data. It turns plain-English goals into browser actions, then navigates websites, logs in, extracts data, and completes workflows through a visual workbench or API. It is aimed more at developers, ops teams, and enterprise workflows than casual users, and that focus is part of its appeal.

What is TinyFish? TinyFish is an AI web agent tool built for teams that need live web actions rather than static scraped data. It turns plain-English goals into browser actions, then navigates websites, logs in, extracts data, and completes workflows through a visual workbench or API. It is aimed more at developers, ops teams, and enterprise workflows than casual users, and that focus is part of its appeal. Key Features: Natural language control: Users describe a task in plain English instead of writing selectors or XPath. Live execution streaming: Runs can be watched in real time with streaming events and browser previews. Stealth and proxy options: TinyFish offers anti-detection browser modes and geo-targeted proxy support for harder sites. Parallel agent runs: Plans support from 2 to 50 concurrent agents for higher-volume workflows. Workbench, API, and MCP access: Teams can build visually or connect TinyFish to code-based and assistant-driven workflows. Pros:Works on messy real-world websites: It supports dynamic sites, authenticated systems, and multi-step workflows. Built for scale: TinyFish is clearly made for repeated, high-volume web operations, not one-off tinkering. Good observability: Screenshots, run history, and live previews make debugging far less annoying.