agent-browser

AI-driven browser automation handles web scraping for dynamic content by logging in, managing authentication sessions, and persisting state. It navigates complex pages to extract text and table data beyond simple static scraping.

Yes, you can automate form filling and file uploads via a command-line interface. This AI agent opens websites, interacts with form elements, selects options, and handles submissions using semantic locators for robust interaction.

Yes, the tool supports cross-platform execution via a unified API and requires no external dependencies. It runs complex web tasks across different operating systems directly through its command-line interface.

The best way to interact with dynamically loaded web elements during web testing is using semantic locators and element references. This approach enables robust interaction with dynamic content, navigation, and button clicks.

You can extract table data by utilizing an AI agent to handle the complex navigation paths automatically. The tool uses semantic locators to find elements, handles dynamic content, and extracts structured table information.

While session management allows persisting authentication state for automated web tasks, limitations may arise with highly custom anti-bot systems. The tool handles standard authentication logins but complex captchas might require manual intervention.