Openclaw Skill Browser Use
by @yinj0012
Autonomous browser automation for AI agents. Two tools: agent-browser (CLI Playwright for step-by-step control) and browser-use (Python autonomous agent that...
clawhub install openclaw-skill-browser-useπ About This Skill
name: Browser Use description: > Autonomous browser automation for AI agents. Two tools: agent-browser (CLI Playwright for step-by-step control) and browser-use (Python autonomous agent that decides what to do on pages). Navigate, click, fill forms, scrape data, manage sessions, and run complex multi-step browser tasks. read_when: - Automating web interactions beyond simple fetch - Filling forms or completing multi-step web flows - Scraping structured data from dynamic pages - Running an autonomous browsing agent for complex tasks - Testing or interacting with authenticated web apps - Taking screenshots or recording browser sessions metadata: clawdbot: emoji: "π" requires: bins: ["node", "npm", "python3"] system: ["chromium", "xvfb"] allowed-tools: Bash(agent-browser:*,browser-use-agent:*,xvfb-run:*)
Browser Use β Autonomous Browser Automation
Two complementary tools for browser automation:
| Tool | Best for | How it works | |------|----------|-------------| | agent-browser | Step-by-step control, scraping, form filling | CLI commands, you drive each action | | browser-use | Complex autonomous tasks | Python agent that decides actions itself |
Quick Start
agent-browser (recommended for most tasks)
# Navigate and inspect
agent-browser open "https://example.com"
agent-browser snapshot -i # Get interactive elements with @refsInteract using refs
agent-browser click @e3 # Click element
agent-browser fill @e2 "text" # Fill input (clears first)
agent-browser press Enter # Press keyExtract data
agent-browser get text @e1 # Get element text
agent-browser get attr @e1 href # Get attribute
agent-browser screenshot /tmp/p.png # ScreenshotDone
agent-browser close
browser-use (autonomous agent)
# Run a full autonomous browsing task
browser-use-agent "Find the pricing for Notion and compare plans"
The agent will navigate, click, read pages, and return a structured result.
agent-browser β Full Reference
Navigation
agent-browser open # 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
agent-browser snapshot -s "#main" # Scope to CSS selector
agent-browser snapshot -i --json # JSON output for parsing
Interactions (use @refs from snapshot)
agent-browser click @e1 # Click
agent-browser dblclick @e1 # Double-click
agent-browser fill @e2 "text" # Clear and type (use this for inputs)
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 option
agent-browser scroll down 500 # Scroll page
agent-browser scrollintoview @e1 # Scroll element into view
agent-browser drag @e1 @e2 # Drag and drop
agent-browser upload @e1 file.pdf # Upload files
Extract Data
agent-browser get text @e1 # Get element text
agent-browser get html @e1 # Get innerHTML
agent-browser get value @e1 # Get input value
agent-browser get attr @e1 href # Get attribute
agent-browser get title # Page title
agent-browser get url # Current URL
agent-browser get count ".item" # Count matching elements
Wait
agent-browser wait @e1 # Wait for element
agent-browser wait 2000 # Wait milliseconds
agent-browser wait --text "Done" # Wait for text to appear
agent-browser wait --url "/dash" # Wait for URL pattern
agent-browser wait --load networkidle # Wait for network idle
Screenshots, PDF & Recording
agent-browser screenshot path.png # Save screenshot
agent-browser screenshot --full # Full page screenshot
agent-browser pdf output.pdf # Save as PDF
agent-browser record start ./demo.webm # Start recording
agent-browser record stop # Stop and save
Sessions (parallel browsers)
agent-browser --session s1 open "https://site1.com"
agent-browser --session s2 open "https://site2.com"
agent-browser session list
State (persist auth/cookies)
agent-browser state save auth.json # Save session (cookies, storage)
agent-browser state load auth.json # Restore session
Cookies & Storage
agent-browser cookies # Get all cookies
agent-browser cookies set name value # Set cookie
agent-browser cookies clear # Clear cookies
agent-browser storage local # Get all localStorage
agent-browser storage local set k v # Set value
Tabs & Frames
agent-browser tab # List tabs
agent-browser tab new [url] # New tab
agent-browser tab 2 # Switch to tab
agent-browser frame "#iframe" # Switch to iframe
agent-browser frame main # Back to main frame
Browser Settings
agent-browser set viewport 1920 1080
agent-browser set device "iPhone 14"
agent-browser set geo 37.7749 -122.4194
agent-browser set offline on
agent-browser set media dark
JavaScript
agent-browser eval "document.title" # Run JS in page context
browser-use β Autonomous Agent
For complex tasks where you want the agent to figure out the browsing steps:
browser-use-agent "Your task description here"
Custom Script (advanced)
# Run via: /opt/browser-use/bin/python3 script.py
import asyncio, os
from browser_use import Agent, Browser
from langchain_anthropic import ChatAnthropicasync def run():
browser = Browser()
llm = ChatAnthropic(
model='claude-sonnet-4-20250514',
api_key=os.environ['ANTHROPIC_API_KEY']
)
agent = Agent(
task="Compare pricing on 3 competitor sites",
llm=llm,
browser=browser,
)
result = await agent.run(max_steps=15)
await browser.close()
return result
asyncio.run(run())
You can swap the LLM for any langchain-compatible model (OpenAI, Anthropic, etc).
Standard Workflow
# 1. Open page
agent-browser open "https://example.com"2. Snapshot to see what's on the page
agent-browser snapshot -i3. Interact with elements using @refs from snapshot
agent-browser fill @e1 "search query"
agent-browser click @e24. Wait for new page to load
agent-browser wait --load networkidle5. Re-snapshot (refs change after navigation!)
agent-browser snapshot -i6. Extract what you need
agent-browser get text @e57. Close when done
agent-browser close
Important Rules
1. Always snapshot -i after navigation β refs change on every page load
2. Use fill not type for inputs β fill clears existing text first
3. Wait after clicks that trigger navigation β wait --load networkidle
4. Close the browser when done β agent-browser close
5. Google/Bing block headless browsers (CAPTCHA) β use DuckDuckGo or web_search instead
6. Save auth state for sites requiring login β state save/load
7. Use --json when you need machine-parseable output
8. Use sessions for parallel browsing β --session
Troubleshooting
snapshot -i to get current refswait --load networkidle after navigationweb_search tool insteadstate save againπ‘ Examples
agent-browser (recommended for most tasks)
# Navigate and inspect
agent-browser open "https://example.com"
agent-browser snapshot -i # Get interactive elements with @refsInteract using refs
agent-browser click @e3 # Click element
agent-browser fill @e2 "text" # Fill input (clears first)
agent-browser press Enter # Press keyExtract data
agent-browser get text @e1 # Get element text
agent-browser get attr @e1 href # Get attribute
agent-browser screenshot /tmp/p.png # ScreenshotDone
agent-browser close
browser-use (autonomous agent)
# Run a full autonomous browsing task
browser-use-agent "Find the pricing for Notion and compare plans"
The agent will navigate, click, read pages, and return a structured result.
π Tips & Best Practices
snapshot -i to get current refswait --load networkidle after navigationweb_search tool insteadstate save again