Owl Browser
The Stealth Browser Engine for Automation at Scale
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About
Owl Browser is a self-hosted browser automation engine designed for running large numbers of isolated, stealthy browser sessions. The site positions it as an alternative to Playwright and Puppeteer, offering a purpose-built Chromium/CEF-based engine with a built-in C99 HTTP server and parallel IPC. It exposes automation through a REST API (with an OpenAPI spec) plus Python and TypeScript SDKs, and supports MCP for connecting the browser as a tool for AI agents. Key capabilities highlighted include parallel contexts with unique fingerprints, data extraction outputs (e.g., JSON/CSV), built-in Tor control per context, automatic CAPTCHA solving, session recording, flexible selectors (including natural language descriptions), and network request control (block/mock/redirect). Deployment is Docker-based and focused on keeping data on the user’s infrastructure with security controls and logging.
Problem & solution
Problem
Scaling browser automation without detection or high overhead
Solution
Self-hosted stealth browser engine with many tools, parallel contexts, SDKs
Who it's for
Teams building high-volume automation, scraping, QA, or agent tools
Main features
- Stealth fingerprints
- 256 parallel contexts
- REST API (180 tools)
- Tor per context
- CAPTCHA solving
Use cases
- Run 256 parallel browser sessions
- Extract data from dynamic sites
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