TinyFish is a specialized developer platform designed to provide enterprise-grade infrastructure for AI web agents. Built for developers and technical teams looking to scale web automation, the tool offers a fully serverless architecture that allows users to run hundreds of website interactions simultaneously. With TinyFish, AI agents can seamlessly navigate complex web pages, handle authentication processes, extract structured data, and automate multi-step web workflows without the hassle of managing underlying server resources. By abstracting the complexities of browser environments, proxies, and scaling, the platform enables teams to focus on building intelligent agent logic rather than dealing with infrastructure overhead. It serves as a robust backbone for modern web scraping, automated testing, and synthetic user interactions, ensuring high reliability and performance under heavy workloads.
Problem: Market researchers struggle to keep track of product prices on sites that load contents dynamically using complex scripts.
Solution: TinyFish runs a serverless browser that parses, renders, and extracts visual data from complex, script-heavy web pages.
Example: A business automates hourly competitor catalog scraping to log price changes directly into their database.
Problem: Traditional API-based scrapers fail when a web platform requires navigating menus, clicking elements, or solving captchas.
Solution: The Agent API coordinates multi-step browser interactions, allowing systems to navigate complex online workflows.
Example: An automated system searches for a travel route, inputs user details, and confirms the availability of train bookings.
Target audience: Best for: Web automation engineers, Data intelligence engineers, Autonomous agent builders
Pricing: Open Source · Categories: Developer Tools, Startup tools
Tags: AI, ai agent, API, developer tools
TinyFish is an open source platform that provides serverless infrastructure for AI web agents. It manages multi-session Chromium browser instances in the cloud, allowing autonomous agents to execute multi-step workflows, navigate dynamic sites, click user interface elements, and parse live data without requiring teams to maintain local browser setups or proxy servers.
TinyFish enables developers to run hundreds of simultaneous browser automation sessions using natural language web crawling commands. It navigates complex website layouts, handles authentication steps, triggers automated user interface click events, and applies dynamic data extraction filters to pull structured information from script-heavy web pages for market research and testing workflows.
TinyFish is designed for web automation engineers, data intelligence engineers, and autonomous agent builders. It serves technical teams and startups that need reliable browser automation pipelines to track dynamic competitor pricing, run end-to-end synthetic user interaction tests, or power autonomous AI agents that interact with modern web applications.
Because specific package names and commands depend on your deployment environment, you should refer to the official documentation and project repository at https://tinyfish.ai for exact installation instructions. The repository provides setup guidelines for deploying the unified developer platform and running serverless browser agent sessions.
TinyFish is available as an open source developer tool. Engineering teams and startups can review, deploy, and self-host the platform infrastructure without paying software licensing fees, making it an accessible option for developers building web agents and data collection systems.