agent-browser

Browser automation for data extraction works by navigating web pages, taking snapshots of interactive elements, and using compact element refs to capture structured data. This method reduces AI-context load by driving actions through ref-based snapshots rather than raw page source.

Browser automation scripts require a Bash environment and the agent-browser CLI to execute commands, navigate pages, and capture data. The setup uses YAML frontmatter in SKILL.md for discovery and supports optional references, scripts, and assets resources.

The best way to capture structured data from web pages is to use scriptable browser commands that navigate to target URLs, snapshot interactive elements, and extract data using element refs. This enables researchers to collect structured data efficiently across multiple sites.

Yes, using compact element refs from snapshots to drive browser actions reduces AI-context load during web testing. This ref-based automation allows you to navigate pages, click elements, and fill forms by referencing specific snapshot elements rather than processing entire page sources.

Yes, browser automation supports taking screenshots and verifying UI behavior through scriptable commands. You can navigate pages, capture interactive element snapshots, and perform actions using element refs to automate UI verification across multiple sites.

Using a CLI for browser automation requires a Bash environment and limits interactions to scriptable commands rather than visual recording. It relies on YAML frontmatter for discovery and uses element refs from snapshots, which may require manual snapshot parsing for complex dynamic UI behaviors.