For developers building computer-use agents, Scrapybara is a virtual desktop platform that spins up cloud instances AI agents can control and click through, just like a human would on a real machine.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Scrapybara is building a computer that agents can operate rather than a computer developers script against — cloud-hosted Ubuntu, Windows, and browser instances wired for AI agents to click, type, and navigate through graphical interfaces the way a person would, packaged behind Python and TypeScript SDKs rather than a scraping API. That framing puts it downstream of the general web-scraping category and squarely inside the emerging computer-use-agent infrastructure layer. Public conversation about the brand is still early — a quieter footprint so far, consistent with a young company built for a category that itself is just forming.
Browser Use
Kondo
Anchor Browser
Axiom AI
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Business Profile
Scrapybara is a young, small team: six people, founded in 2024, backed by Y Combinator and based in San Francisco. Disclosed funding is modest, around $500K, consistent with a seed-stage operation rather than a company that has raised a large round, and no ARR has been publicly reported. It has drawn early attention from technical users working on AI agents, including a DX engineer at OpenAI who has publicly used and praised the platform — a founding-stage business establishing itself inside a computer-use-agent category that is itself still new.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Scrapybara's entire product is built for agents rather than adapted for them: cloud desktop instances (Ubuntu, Windows, browser) that agents control directly, shipped with Python and TypeScript SDKs, an MCP server for tools like Claude Code and Cursor, and an Act SDK — computer control, bash execution, file editing — built to plug into Claude's and OpenAI's computer-use agent models. The build-out is computer-use infrastructure throughout, a machine for an agent to operate rather than a data feed to query.
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