anti-detect-browser
antibrow/anti-detect-browser-skills
Launch Chromium with real-device fingerprints for multi-account operations, web scraping, and AI agent automation.
What is anti-detect-browser?
Anti-Detect Browser SDK lets you launch Chromium instances with unique, undetectable digital identities via standard Playwright APIs. Use it when you need multiple isolated browser sessions with distinct fingerprints, persistent profiles, proxy rotation, or when building agentic workflows that require fingerprint isolation.
- Launch Chromium with real-device fingerprints (30+ categories, 500+ parameters) collected from actual devices
- Manage persistent browser profiles that save cookies, localStorage, and session data across restarts
- Route each browser through different proxies for geo-targeting and IP rotation
- Run as an MCP server so AI agents can launch and control fingerprint browsers via tool calls
- Visual identification with floating labels, window titles, and unique theme colors for simultaneous sessions
- Live View streaming to monitor headless browsers in real-time from the dashboard
How to install anti-detect-browser
npx skills add https://github.com/antibrow/anti-detect-browser-skills --skill anti-detect-browser- Node.js and npm
- API key from https://antibrow.com
- Optional: proxy service for IP rotation
How to use anti-detect-browser
- 1.Install the package: npm install anti-detect-browser
- 2.Get your API key at https://antibrow.com
- 3.Import AntiDetectBrowser and initialize with your API key
- 4.Call ab.launch() with fingerprint tags (e.g., ['Windows 10', 'Chrome']), profile name, and optional proxy
- 5.Use standard Playwright APIs (page.goto, page.click, etc.) on the returned page object
- 6.Close the browser with browser.close() when done
- 7.For AI agents: configure as MCP server with ANTI_DETECT_BROWSER_KEY environment variable
Use cases
- Multi-account social media management (Twitter, Instagram, etc.) without account linking
- Web scraping and data collection with fingerprint rotation to avoid detection bans
- Ad verification and competitive intelligence across regions and device types
- E-commerce operations managing multiple seller/buyer accounts with isolated environments
- AI agent browser control through MCP server integration with Claude, GPT, and other agents
- Multi-account operators (social media, e-commerce, ad networks)
- Web scrapers and data collection teams
- Ad verification and competitive intelligence specialists
- AI agent developers building agentic browser automation workflows
- QA engineers testing cross-browser compatibility
anti-detect-browser FAQ
A profile saves cookies, localStorage, and session data across launches—same profile name restores your login state. A fingerprint is the real-device digital identity (Canvas, WebGL, fonts, etc.) that changes per launch unless you specify the same fingerprint tags.
Yes. Import applyFingerprint() and call it on your existing browser context to add fingerprints without rewriting your scripts.
Configure it as an MCP server in your mcpServers config with the --mcp flag. AI agents will then have access to tools like launch_browser, navigate, click, screenshot, and evaluate.
Yes. Set headless: true in launch(). You can also enable liveView: true to stream the headless session to the dashboard for monitoring.
HTTP, HTTPS, and SOCKS5 proxies are supported. Pass them as proxy: 'http://user:pass@host:port' or 'socks5://...' in the launch options.
Full instructions (SKILL.md)
Source of truth, from antibrow/anti-detect-browser-skills.
name: anti-detect-browser description: Launch and manage anti-detect browsers with unique real-device fingerprints for multi-account operations, web scraping, ad verification, and AI agent automation. Use when the user needs to run multiple browser sessions with distinct identities, manage persistent browser profiles, automate tasks across accounts, or build agentic workflows that require browser fingerprint isolation. Also use when the user mentions antibrow, anti-detect browser, or fingerprint browser.
Anti-Detect Browser SDK
Launch Chromium instances with real-device fingerprints via standard Playwright APIs. Each browser gets a unique, consistent digital identity - undetectable by anti-bot systems.
- npm package:
anti-detect-browser - Dashboard:
https://antibrow.com - REST API base:
https://antibrow.com/api/v1/ - Documentation:
https://antibrow.com/docs
When to use
- Multi-account management - Run dozens of social media, e-commerce, or ad accounts on the same machine without linking. Each browser profile has its own fingerprint, cookies, and storage.
- Web scraping & data collection - Rotate fingerprints across scraping sessions to avoid detection and fingerprint-IP correlation bans.
- Ad verification & competitive intelligence - View ads and content as different user profiles across regions and device types.
- Social media automation - Manage multiple accounts with persistent profiles that survive browser restarts.
- E-commerce operations - Operate multiple seller/buyer accounts with fully isolated browser environments.
- AI agent browser control - Run as an MCP server so AI agents (Claude, GPT, etc.) can launch, navigate, and interact with anti-detect browsers through tool calls.
- QA & cross-environment testing - Test how your site behaves under different browser fingerprints, screen sizes, and device configurations.
Quick start
npm install anti-detect-browser
import { AntiDetectBrowser } from 'anti-detect-browser'
// Get your API key at https://antibrow.com
const ab = new AntiDetectBrowser({ key: 'your-api-key' })
const { browser, page } = await ab.launch({
fingerprint: { tags: ['Windows 10', 'Chrome'] },
profile: 'my-account-01',
proxy: 'http://user:pass@host:port',
})
// Standard Playwright API from here — zero learning curve
await page.goto('https://example.com')
await browser.close()
Core concepts
Profiles — persistent browser identities
A profile saves cookies, localStorage, and session data across launches. Same profile name = same stored state next time.
// First launch — fresh session
const { page } = await ab.launch({ profile: 'shop-01' })
await page.goto('https://shop.example.com/login')
// ... login ...
await browser.close()
// Later — session restored, already logged in
const { page: p2 } = await ab.launch({ profile: 'shop-01' })
await p2.goto('https://shop.example.com/dashboard') // no login needed
Fingerprints — real device data from the cloud
Each launch fetches a real fingerprint collected from actual devices. Over 30 categories (Canvas, WebGL, Audio, Fonts, WebRTC, WebGPU, etc.) with 500+ individual parameters.
// Windows Chrome, version 130+
await ab.launch({
fingerprint: { tags: ['Windows 10', 'Chrome'], minBrowserVersion: 130 },
})
// Mac Safari
await ab.launch({
fingerprint: { tags: ['Apple Mac', 'Safari'] },
})
// Mobile Android
await ab.launch({
fingerprint: { tags: ['Android', 'Mobile', 'Chrome'] },
})
Available filter tags: Microsoft Windows, Apple Mac, Android, Linux, iPad, iPhone, Edge, Chrome, Safari, Firefox, Desktop, Mobile, Windows 7, Windows 8, Windows 10
Visual identification — tell windows apart at a glance
When running many browsers simultaneously, each window gets a floating label, title prefix, and unique theme color.
await ab.launch({
profile: 'twitter-main',
label: '@myhandle', // floating label + window title
color: '#e74c3c', // unique window border color
})
Proxy integration
Route each browser through a different proxy for geo-targeting or IP rotation.
await ab.launch({
proxy: 'socks5://user:pass@us-proxy.example.com:1080',
fingerprint: { tags: ['Windows 10', 'Chrome'] },
profile: 'us-account',
})
Live View — watch headless browsers in real time
Monitor headless sessions from the https://antibrow.com dashboard. Useful for debugging AI agent actions or letting team members observe.
const { liveView } = await ab.launch({
headless: true,
liveView: true,
})
console.log('Watch live:', liveView.viewUrl)
// Share this URL — anyone with access can see the browser screen
Inject into existing Playwright setup
Already have Playwright scripts? Add fingerprints without changing your workflow.
import { chromium } from 'playwright'
import { applyFingerprint } from 'anti-detect-browser'
const browser = await chromium.launch()
const context = await browser.newContext()
await applyFingerprint(context, {
key: 'your-api-key',
fingerprint: { tags: ['Windows 10', 'Chrome'] },
profile: 'my-profile',
})
const page = await context.newPage()
await page.goto('https://example.com')
MCP server mode — for AI agents
Run as an MCP server so AI agents can launch and control fingerprint browsers via tool calls.
{
"mcpServers": {
"anti-detect-browser": {
"command": "npx",
"args": ["anti-detect-browser", "--mcp"],
"env": { "ANTI_DETECT_BROWSER_KEY": "your-api-key" }
}
}
}
Available tools:
| Tool | What it does |
|---|---|
launch_browser | Start a new fingerprint browser session |
close_browser | Close a running session |
navigate | Go to a URL |
screenshot | Capture the current screen |
click / fill | Interact with page elements |
evaluate | Run JavaScript on the page |
get_content | Extract text from the page or a specific element |
start_live_view | Stream the browser screen to https://antibrow.com dashboard |
stop_live_view | Stop live streaming |
list_sessions | List all running browser instances |
list_profiles | List all saved profiles |
Workflow examples
Multi-account social media
const accounts = [
{ profile: 'twitter-1', label: '@brand_main', color: '#1DA1F2' },
{ profile: 'twitter-2', label: '@support', color: '#FF6B35' },
{ profile: 'twitter-3', label: '@personal', color: '#6C5CE7' },
]
for (const acct of accounts) {
const { page } = await ab.launch({
fingerprint: { tags: ['Windows 10', 'Chrome'] },
proxy: getNextProxy(),
...acct,
})
await page.goto('https://twitter.com')
}
Scraping with fingerprint rotation
for (const url of urlsToScrape) {
const { browser, page } = await ab.launch({
fingerprint: { tags: ['Desktop', 'Chrome'], minBrowserVersion: 125 },
proxy: rotateProxy(),
})
await page.goto(url)
const data = await page.evaluate(() => document.body.innerText)
saveData(url, data)
await browser.close()
}
Headless monitoring with live view
const { page, liveView } = await ab.launch({
headless: true,
liveView: true,
profile: 'price-monitor',
fingerprint: { tags: ['Windows 10', 'Chrome'] },
})
// Share the live view URL with your team
console.log('Dashboard:', liveView.viewUrl)
while (true) {
await page.goto('https://shop.example.com/product/123')
const price = await page.textContent('.price')
if (parseFloat(price) < targetPrice) notify(price)
await page.waitForTimeout(60_000)
}
REST API
Base URL: https://antibrow.com/api/v1/ — all endpoints require Authorization: Bearer <api-key> header.
Fingerprints
| Method | Endpoint | Description |
|---|---|---|
GET | /fingerprints/fetch | Fetch a fingerprint matching filter criteria. Returns { dataUrl } — download the presigned URL for full fingerprint data. |
GET | /fingerprints/versions | List available browser versions |
Query parameters for /fingerprints/fetch: tags, id, minBrowserVersion, maxBrowserVersion, minWidth, maxWidth, minHeight, maxHeight
Profiles
| Method | Endpoint | Description |
|---|---|---|
GET | /profiles | List all profiles |
POST | /profiles | Create a new profile (server assigns a random fingerprint). Returns profile info including dataUrl for immediate fingerprint data download. |
GET | /profiles/:name | Get profile details with dataUrl for fingerprint data download |
DELETE | /profiles/:name | Delete a profile |
POST /profiles request body:
{ "name": "my-profile", "tags": ["Windows 10", "Chrome"] }
POST /profiles response (201):
{
"name": "my-profile",
"tags": ["Windows 10", "Chrome"],
"ua": "Mozilla/5.0 ...",
"browserVersion": 131,
"width": 1920,
"height": 1080,
"createdAt": "2025-01-01T00:00:00.000Z",
"dataUrl": "https://r2.example.com/fingerprints/..."
}
The dataUrl is a presigned R2 URL (valid for 10 minutes) pointing to the full fingerprint JSON data (~9MB). Download it directly — no additional API call needed.
Get started
- Sign up at
https://antibrow.com(free tier: 2 browser profiles) - Get your API key from the dashboard
npm install anti-detect-browser- Launch your first anti-detect browser
Full documentation: https://antibrow.com/docs
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