TinyFish

Browse sites, pull data, and finish workflows with TinyFish AI.

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About 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.

Key features

Natural language control
Live execution streaming
Stealth and proxy options
Parallel agent runs
Workbench, API, and MCP access
Support for dynamic sites
Authenticated system support
Multi-step workflow support

Use cases

E-commerce and retail teams: product matching, pricing checks, and checkout monitoring
Travel and hospitality businesses: hotel availability, rate monitoring, and property data collection
Sales and lead generation teams: structured lead extraction from conference and company websites

Pros

Plain-English task automation without writing selectors or XPath
Real-time streaming of live browser execution and previews
Anti-detection browser modes and geo-targeted proxies for bypassing bot protections
Parallel agent runs from 2 to 50 concurrent sessions for high-volume workflows
Unified API key across Search, Fetch, Agent, and Browser with no routing code required

Cons

Primarily designed for developers, ops teams, and enterprise workflows, limiting accessibility for casual users
Reliance on live browser execution may introduce latency compared to static data retrieval
Anti-detection features may still face limitations on highly protected or complex websites

Frequently asked questions about TinyFish

What does TinyFish do?

TinyFish provides AI-powered web-native tools for live workflows, including structured web search, URL content fetching, multi-step web automation via agents, and cloud browser sessions. It enables teams to interact with dynamic websites in real time through a unified API.

Who is TinyFish designed for?

TinyFish is aimed at developers, operations teams, and enterprises that require live web interactions rather than static data. It suits workflows involving vendor portals, dynamic catalogs, compliance dashboards, and production-grade automation tasks.

How does TinyFish handle authentication and anti-bot measures?

TinyFish offers stealth browser modes with engine-level anti-detection, persistent state, and proxy support to bypass login walls and anti-bot protections. Its browser API is designed to access authenticated web content that traditional search cannot reach.

Can TinyFish integrate with existing tools and workflows?

Yes, TinyFish provides API access, SDKs, and documentation for integrating with existing stacks. It supports visual workbench building, code-based workflows, and assistant-driven automation through MCP access.

What are the core APIs offered by TinyFish?

TinyFish offers four main APIs: Search for fresh, structured web results; Fetch for rendering pages and extracting clean content; Agent for multi-step web automation; and Browser for authenticated, stealth-enabled cloud sessions.

How do I get started with TinyFish?

Users can start by signing up to obtain an API key, then explore the documentation and open-source examples. The platform provides guides for Search, Fetch, Agent, and Browser APIs to help teams deploy workflows quickly.