What is Scrapybara?

Scrapybara hosts remote desktop instances for computer use agents like CUA and Claude Computer Use. With its unified API, developers can write one line of code to execute agents with any model and access low-level controls like the browser, filesystem, and code sandboxes. Scrapybara handles autoscaling, authentication, and system environments, enabling users to deploy fleets of agents to production and automate any free-form computing task at scale.

How to use Scrapybara?

Developers can use Scrapybara by installing its Python or TypeScript SDK. After initializing a client, they can start an Ubuntu instance and then use the `client.act()` method with various tools (like ComputerTool, BashTool, EditTool) and a specified AI model (e.g., OpenAI) to execute prompts for automated tasks, such as web scraping.

Scrapybara's Core Features

Remote desktop instances for AI agents

Unified API for agent execution with any model

Low-level controls (browser, filesystem, code sandboxes)

Autoscaling, authentication, and system environment management

Instantly spin up desktop instances

Browser, code execution, and filesystem capabilities

Start hundreds of instances in milliseconds

Minimal latency for computer actions

Interactive stream to monitor and yield control

Authenticated access to save and load websites

Session persistence to pause and resume instances

Scrapybara's Use Cases

#1 Deploy intelligent agents to automate free-form computing tasks at scale

#2 CodeCapy.AI: PR bot for end-to-end UI testing in Ubuntu instances

#3 CopyCapy: Scrape and 'capyfy' any website

#4 Wide Research: Deep research scraping in parallel

#5 Dungeon Crawler: Fight monsters and explore dungeons

Scrapybara

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