Browser Use is a core feature of AgentBay for browser automation. It provides a cloud-based browser environment for developers. This environment allows AI agents to extract information and interact with web pages to complete automated workflows. This feature runs on the AgentBay multimodal cloud runtime environment and supports connections through the software development kit (SDK) and MCP. It helps developers efficiently build AI agents capable of performing web operations.
Scenarios
Data collection and analysis
Product information scraping: Automatically retrieve product details, prices, and inventory data from E-commerce platforms.
Public information collection: Automatically collect public information, such as news, public datasets, and company announcements.
Competitor analysis: Regularly gather updates on competitor products to help create market strategies.
Automated testing
Functional testing: Simulate real user behavior to verify that web application features work correctly.
Compatibility testing: Run tests in different browser environments to ensure pages render and behave consistently.
Performance testing: Monitor page loading performance and response latency to assist with Performance Optimization.
Business process automation
Form filling: Automatically fill out repetitive forms to make data entry more efficient.
Data entry: Batch import structured data into different web management systems.
Process approval: Automate web-based approval workflows that require manual steps, reducing processing time.
E-commerce operations
Product management: Automate product listing, delisting, information updates, and publishing promotional content.
Order processing: Automatically complete follow-up tasks, such as order confirmations and shipping notifications.
Price monitoring: Track product price changes in real time to trigger adjustments in pricing strategy.
Research and education
Literature collection: Automatically find and collect academic papers and research.
Organizing teaching resources: Automatically classify, update, and archive teaching materials.
Data validation: Verify the authenticity of research data sources and the completeness of the content.
Core capabilities
Broad compatibility
Mainstream protocol support: Compatible with major browser automation protocols, such as Playwright and Puppeteer. This compatibility ensures easy development and consistent integration with your business systems.
Flexible extension: Supports both headless and headed browser modes. It also supports loading browser plug-ins to meet custom runtime requirements.
Intelligent operations
AI-driven control: Use natural language instructions to direct the browser to perform tasks.
Page element recognition: Uses AI vision to accurately identify page elements for interactions, such as clicks, inputs, and selections.
Framework integration: Compatible with major AI agent development frameworks to support building and running complex automation tasks.
Developer-friendly
Multiple connection types: Provides three connection modes: SDK, MCP, and ASP. It supports multiple programming languages, including Python, TypeScript, and Golang.
Visual debugging: Supports the ASP streaming protocol for real-time visualization of operations. It also includes a session recording feature to assist with troubleshooting and process optimization.
Serverless architecture: Uses a cloud-native serverless architecture with elastic scaling and pay-as-you-go billing. This reduces the complexity of resource management.
Related links
Connect to Browser Use with the SDK
Connect to Browser Use with MCP