Scrapybara is a powerful platform that provides virtual desktop instances specifically designed for AI agents, including computer use agents like OpenAI's CUA and Claude Computer Use. With a unified API, developers can spin up remote desktops with just one line of code, enabling seamless execution of complex, free-form computing tasks at scale. The platform handles all the heavy lifting—autoscaling, authentication, and system environment management—so you can focus on building and deploying your agents.
Key features include instant provisioning of hundreds of desktop instances in milliseconds, each equipped with a lightweight Chromium browser, full filesystem access, and code execution sandboxes. You can monitor and control instances in real-time, save and load authenticated websites, pause and resume sessions, and choose between Linux or Windows desktops. The platform supports multi-turn conversations, structured outputs, and custom tools, making it ideal for a wide range of use cases.
Scrapybara is perfect for automating web scraping, deep research, software testing, and any task that requires a full computer environment. For example, CodeCapy uses Scrapybara to run hundreds of parallel end-to-end UI tests, analyzing code changes and ensuring quality. Other use cases include scraping dynamic websites, conducting parallel research, and even gaming automation.
Pricing starts with a free tier offering 10 compute hours, 100 agent credits, and 5 concurrent instances. Paid plans begin at $29/month for 100 compute hours, 500 agent credits, and 25 concurrent instances, scaling up to custom enterprise solutions with self-hosting, dedicated support, and a 99.9% uptime SLA. Agent credits are consumed per step when using the Act SDK or playground, with top-ups available at $0.04 each or the option to use your own API key.
Scrapybara is trusted by engineers from OpenAI and praised for its ease of use. It is built with love in San Francisco and is the go-to solution for deploying fleets of AI agents to automate any computing task.
AI developers, machine learning engineers, web scraping specialists, software testers, research teams, automation engineers, platform engineers
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