agent-browser

name	agent-browser
description	Advanced browser automation tool for web testing, form filling, screenshots, data extraction, and structured information retrieval. Supports complex workflows including authentication, dynamic content handling, and formatted table output. Essential for web scraping, testing, and data collection tasks.

Browser Automation with agent-browser

Quick start

agent-browser open <url>        # Navigate to page
agent-browser snapshot -i       # Get interactive elements with refs
agent-browser click @e1         # Click element by ref
agent-browser fill @e2 "text"   # Fill input by ref
agent-browser close             # Close browser

Core workflow

1. Navigate: agent-browser open <url>
2. Snapshot: agent-browser snapshot -i (returns elements with refs like @e1, @e2)
3. Interact using refs from the snapshot
4. Re-snapshot after navigation or significant DOM changes

Data Extraction Workflow

For extracting structured data from web pages:

1. Navigate to target page
2. Take snapshot to identify data containers
3. Extract data using get text or other commands
4. Format extracted data into tables for presentation

Commands

Navigation

agent-browser open <url>      # Navigate to URL
agent-browser back            # Go back
agent-browser forward         # Go forward  
agent-browser reload          # Reload page
agent-browser close           # Close browser

Snapshot (page analysis)

agent-browser snapshot        # Full accessibility tree
agent-browser snapshot -i     # Interactive elements only (recommended)
agent-browser snapshot -c     # Compact output
agent-browser snapshot -d 3   # Limit depth to 3

Interactions (use @refs from snapshot)

agent-browser click @e1           # Click
agent-browser dblclick @e1        # Double-click
agent-browser fill @e2 "text"     # Clear and type
agent-browser type @e2 "text"     # Type without clearing
agent-browser press Enter         # Press key
agent-browser press Control+a     # Key combination
agent-browser hover @e1           # Hover
agent-browser check @e1           # Check checkbox
agent-browser uncheck @e1         # Uncheck checkbox
agent-browser select @e1 "value"  # Select dropdown
agent-browser scroll down 500     # Scroll page
agent-browser scrollintoview @e1  # Scroll element into view

Get information

agent-browser get text @e1        # Get element text
agent-browser get value @e1       # Get input value
agent-browser get title           # Get page title
agent-browser get url             # Get current URL

Screenshots

agent-browser screenshot          # Screenshot to stdout
agent-browser screenshot path.png # Save to file
agent-browser screenshot --full   # Full page

Wait

agent-browser wait @e1                     # Wait for element
agent-browser wait 2000                    # Wait milliseconds
agent-browser wait --text "Success"        # Wait for text
agent-browser wait --load networkidle      # Wait for network idle

Semantic locators (alternative to refs)

agent-browser find role button click --name "Submit"
agent-browser find text "Sign In" click
agent-browser find label "Email" fill "[e-mail]"

Example: Form submission

agent-browser open https://example.com/form
agent-browser snapshot -i
# Output shows: textbox "Email" [ref=e1], textbox "Password" [ref=e2], button "Submit" [ref=e3]

agent-browser fill @e1 "[e-mail]"
agent-browser fill @e2 "password123"
agent-browser click @e3
agent-browser wait --load networkidle
agent-browser snapshot -i  # Check result

Example: Authentication with saved state

# Login once
agent-browser open https://app.example.com/login
agent-browser snapshot -i
agent-browser fill @e1 "username"
agent-browser fill @e2 "password"
agent-browser click @e3
agent-browser wait --url "**/dashboard"
agent-browser state save auth.json

# Later sessions: load saved state
agent-browser state load auth.json
agent-browser open https://app.example.com/dashboard

Example: Data extraction and table formatting

# Extract product information and format as table
agent-browser open https://example.com/products
agent-browser snapshot -i
# Identify product elements and extract data
agent-browser get text @product1
agent-browser get text @price1
# ... extract more data points
# Then format results into markdown table for output

Sessions (parallel browsers)

agent-browser --session test1 open site-a.com
agent-browser --session test2 open site-b.com
agent-browser session list

JSON output (for parsing)

Add --json for machine-readable output:

agent-browser snapshot -i --json
agent-browser get text @e1 --json

Output Formatting

Table Rendering (REQUIRED)

When presenting structured data such as lists, rankings, or tabular information extracted from web pages, output MUST be rendered in markdown table format for better readability.

Requirements:

• Use markdown tables for any tabular data
• Include appropriate headers for columns
• Ensure data is properly aligned and formatted
• Use consistent formatting across similar data types
• Include relevant metadata (URLs, dates, prices, etc.) as table columns

Example Table Output:

主播名称	用户名	平台	收费	到期日期	直播链接
谪止	fanxiaofeng2020	抖音	¥40.00	2026-01-08	链接
小烦o3o	yml01515	抖音	¥30.00	2026-01-08	链接

Data Extraction Best Practices

• When extracting multiple similar items, organize them into tables
• Use descriptive column headers in Chinese when appropriate
• Sort data logically when possible (e.g., by date, relevance, or priority)
• Include clickable links using markdown format: [text](url)
• Ensure all monetary values include currency symbols
• Format dates consistently (YYYY-MM-DD)

Debugging

agent-browser open example.com --headed  # Show browser window
agent-browser console                    # View console messages
agent-browser errors                     # View page errors