npx skills add https://github.com/antibrow/anti-detect-browser-skills --skill anti-detect-browserHow Anti Detect Browser fits into a Paperclip company.
Anti Detect Browser drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.
Pre-configured AI company — 18 agents, 18 skills, one-time purchase.
SKILL.md287 linesExpandCollapse
---name: anti-detect-browserdescription: 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 ```bashnpm install anti-detect-browser``` ```typescriptimport { AntiDetectBrowser } from 'anti-detect-browser' // Get your API key at https://antibrow.comconst 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 curveawait 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. ```typescript// First launch — fresh sessionconst { page } = await ab.launch({ profile: 'shop-01' })await page.goto('https://shop.example.com/login')// ... login ...await browser.close() // Later — session restored, already logged inconst { 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. ```typescript// Windows Chrome, version 130+await ab.launch({ fingerprint: { tags: ['Windows 10', 'Chrome'], minBrowserVersion: 130 },}) // Mac Safariawait ab.launch({ fingerprint: { tags: ['Apple Mac', 'Safari'] },}) // Mobile Androidawait 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. ```typescriptawait 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. ```typescriptawait 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. ```typescriptconst { 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. ```typescriptimport { 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. ```json{ "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 ```typescriptconst 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 ```typescriptfor (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 ```typescriptconst { page, liveView } = await ab.launch({ headless: true, liveView: true, profile: 'price-monitor', fingerprint: { tags: ['Windows 10', 'Chrome'] },}) // Share the live view URL with your teamconsole.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:**```json{ "name": "my-profile", "tags": ["Windows 10", "Chrome"] }``` **POST `/profiles` response (201):**```json{ "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 1. Sign up at `https://antibrow.com` (free tier: 2 browser profiles)2. Get your API key from the dashboard3. `npm install anti-detect-browser`4. 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