Overview
Step type:browser_action
Browser Actions are perfect for simple, predictable interactions where you need fast execution and want to benefit from caching.
How It Works
- AI Model: Uses Claude Sonnet 4.5 with the browser-use library
- Step Limit: Maximum 2 autonomous steps per invocation
- Variable Support: Supports variable interpolation using
{{variable_name}}syntax - Caching: Built-in caching for repeated actions
- Timeout: 300 seconds
When to Use
Perfect for:
- Simple interactions like “Click submit button and verify success”
- Quick navigation tasks like “Go to pricing page and take screenshot”
- Single-purpose tasks that don’t need full workflow orchestration
- Tasks where caching will provide significant cost savings
- Predictable, repeatable actions
- Multi-step workflows requiring more than 2 actions
- Complex conditional logic spanning many steps
- Tasks requiring state management across interruptions
- Unpredictable flows with many decision points
Cost
- Fresh execution: 50 credits
- Cached execution: 5 credits
Example Use Cases
Simple Navigation
Form Interaction
Quick Verification
Screenshot Capture
With Variables
Configuration Example
Best Practices
Do ✅
- Use for simple, well-defined tasks
- Leverage caching for repeated operations
- Keep instructions clear and concise
- Use variables for dynamic content
- Combine 2 related actions in a single step
Don’t ❌
- Try to cram complex workflows into 2 steps
- Use for unpredictable multi-page flows
- Rely on complex conditional logic
- Expect state persistence across calls
- Use when you need more than 2 actions
Limitations
- Max 2 steps per invocation
- 300 second timeout
- No state persistence between invocations
- Cannot handle complex multi-page workflows
When to Upgrade
Consider switching to Browser Agents when:- You need more than 2 steps
- The workflow is unpredictable or conditional
- You need state management
- The task spans multiple pages with variable paths
- You need precise control over logic
- You’re extracting structured data
- You need custom validation or transformation
- The AI approach is too unpredictable