Browser Use — 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 @refs
Interact using refs
agent-browser click @e3
Click element
agent-browser fill @e2 "text"
Fill input (clears first)
agent-browser press Enter
Press key
Extract data
agent-browser get text @e1
Get element text
agent-browser get attr @e1 href
Get attribute
agent-browser screenshot /tmp/p.png
Screenshot
Done
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 — Full Reference 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
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 — 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 ChatAnthropic async 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 -i
3. Interact with elements using @refs from snapshot
agent-browser fill @e1 "search query" agent-browser click @e2
4. Wait for new page to load
agent-browser wait --load networkidle
5. Re-snapshot (refs change after navigation!)
agent-browser snapshot -i
6. Extract what you need
agent-browser get text @e5
7. Close when done
- agent-browser close
- Important Rules
- Always
- snapshot -i
- after navigation
- — refs change on every page load
- Use
- fill
- not
- type
- for inputs — fill clears existing text first
- Wait after clicks that trigger navigation
- —
- wait --load networkidle
- Close the browser when done
- —
- agent-browser close
- Google/Bing block headless browsers
- (CAPTCHA) — use DuckDuckGo or
- web_search
- instead
- Save auth state
- for sites requiring login —
- state save/load
- Use
- --json
- when you need machine-parseable output
- Use sessions
- for parallel browsing —
- --session
- Troubleshooting
- Element not found
-
- Re-run
- snapshot -i
- to get current refs
- Page not loaded
-
- Add
- wait --load networkidle
- after navigation
- CAPTCHA on search engines
-
- Use DuckDuckGo or the
- web_search
- tool instead
- Auth expired
-
- Re-login and
- state save
- again
- Display errors
- The install script sets up Xvfb for headless rendering