Scalebrowser provides a self-hosted browser infrastructure designed for task-oriented agents. Key features include:
• Persistent, isolated browser identities for each agent
• Retention of logins and passkeys
• Automated handling of captchas and verification processes
• Operation on user-controlled hardware for enhanced security
This platform allows agents to perform complex browser interactions, such as signing into websites, navigating web pages, and interacting with tools that lack direct APIs. It supports a wide range of use cases, from managing multiple online identities to automating repetitive web tasks, enabling agents to operate with human-like precision and speed.
Scalebrowser offers flexible integration options, including an MCP server for pointing agents like Claude or Cursor, dedicated SDKs for Python and Node with direct CDP access, and a plain REST API. This flexibility ensures that users can easily integrate Scalebrowser into their existing agent logic, leveraging its persistent browser capabilities. The system is engineered to run overnight web scraping operations and other intensive browser-based tasks efficiently.
Ideal for engineering teams, data analysts, and researchers who require reliable, scalable, and secure browser environments for their digital assistants. Scalebrowser enables efficient web data extraction, multi-account management, and interaction with web services without manual intervention, all while maintaining a low detection footprint.
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