Enable your AI agents to access any website without worrying about captchas, proxies and anti-bot challenges
No credit card required
Works with Any HTTP or CDP Tool
import { LLMBrowser } from '@llmbrowser/sdk';
// Use as a simple HTTP client
const client = new LLMBrowser({
profile: 'stealth',
proxy: 'socks5://proxy.example.com:1080'
});
// Simple GET request - handles all antibot logic
const response = await client.get(
'https://protected-site.com'
);
// POST with automatic CAPTCHA solving
const data = await client.post(
'https://api.example.com/data',
{ body: { query: 'AI agents' },
solveCaptcha: true
}
);import { chromium } from 'playwright';
import { LLMBrowser } from '@llmbrowser/sdk';
// Connect Playwright to LLM Browser
const browserURL = await LLMBrowser.launch({
profile: 'stealth1',
captchaSolver: true
});
const browser = await chromium.connectOverCDP(
browserURL
);
const page = await browser.newPage();
// Use all Playwright features with antidetect
// built-in functions
await page.goto('https://protected-site.com');
await page.click('button#submit');
const content = await page.textContent('.data');Compatible with all CDP-based frameworks:
Built for scale, designed for stealth
Native C++ implementation in Chromium source code, eliminating detectable JavaScript injections and plugin traces
Built-in support for solving major CAPTCHA types with high success rates, including reCAPTCHA, hCaptcha, Cloudflare, DataDome, GeeTest, etc.
Complete IP, DNS, and WebRTC leak protection. Works with HTTP, SOCKS5, and VPN proxies. Access 200M+ residential and datacenter IPs globally
Native support for MCP, BrowserUse, LangChain, n8n, and other AI frameworks. Seamlessly integrate with Claude, GPT, and any LLM agent
Perfect for MCP servers, RAG pipelines, and autonomous research agents that need real-time web data.
See how easy it is to integrate
from browseruse import Agent
from llmbrowser import BrowserProvider
# Initialize with LLM Browser
browser = BrowserProvider(api_key="your-api-key")
agent = Agent(browser_provider=browser)
# Navigate and interact
agent.browse("https://example.com")
prices = agent.extract("product prices")
agent.click("Add to cart"){
"mcpServers": {
"llmbrowser": {
"command": "npx",
"args": ["@llmbrowser/mcp-server"],
"env": {
"LLMBROWSER_API_KEY": "your-api-key"
}
}
}
}+ Many more AI frameworks and platforms
Silicon Valley is racing to deploy autonomous AI agents, yet early field tests reveal a brutal truth: tiny, single-step hallucination rates explode into a 63% failure rate on 100-step tasks. — Business Insider
Even if your AI agent works perfectly, you still face the web's defensive infrastructure:
Stop wrestling with infrastructure. Use LLM Browser to handle all the technical complexity while you focus on solving your actual business problems.
Get Started FreeModern websites deploy sophisticated anti-bot systems that detect and block AI agents within minutes. Here's the brutal reality of what your automation is up against.
Your browser's unique DNA that gives you away:
User-Agent, screen res, CPU cores, battery, plugins
GPU rendering creates unique signatures
Pixel-perfect identification via image rendering
Real IP exposed through STUN requests
Sound processing reveals hardware
Installed system fonts list
Supported APIs and capabilities
Location data and timezone info
AI patterns that scream "I'm a bot!":
Humans move in curves, bots in straight lines
No human clicks exactly every N seconds
Humans misclick, bots never do
Instant vs natural acceleration patterns
Typing 1000 WPM isn't human
Bots skip reading content
Always center of button = bot
24/7 activity without breaks
Deep packet inspection reveals automation:
Encryption handshake exposes browser type
Datacenter IPs = instant red flag
Protocol parameters unique to browsers
OS-level networking signatures
Resolution patterns and timing
Browser-specific header sequences
IP reputation and quality
VPN/proxy signatures identified
| Detection Vector |
Puppeteer / Playwright / Paid
Services
Standard Automation
|
LLM Browser
Our Solution
|
|---|---|---|
|
Browser Fingerprint
WebGL, Canvas, Audio
|
❌ Identical every time, leaks | ✅ Consistent fingerprints |
|
JavaScript Detection
navigator.webdriver flag
|
❌ Exposed automation flags | ✅ Binary-level stealth |
|
Human Behavior
Mouse, keyboard, scrolling
|
❌ Robotic patterns | ✅ Natural movements |
|
IP Reputation
Datacenter vs Residential
|
❌ Misc IPs | ✅ High quality IPs |
|
CAPTCHA Handling
When challenged
|
⚠️ Manual intervention | ✅ 90%+ auto-solved |
Successfully bypasses anti-bot protection on major platforms
Turnstile, Challenge pages, TaxSlayer, Chegg
PlayStation, Twitch, Discord, Steam, Epic Games
Target, StubHub, Hermes, SeatGeek
Southwest, WizzAir, CopaAir
Zillow, Grubhub, TextNow
FingerprintJS Pro, BrowserScan, Pixelscan
...and many more. New anti-bot systems are added regularly based on customer needs.
Enterprise-grade architecture for undetectable web automation
You have multiple options to integrate LLM Browser: use SDK libraries in your code, make direct API calls, or integrate with LLMs through MCP servers and other AI frameworks. When using with LLMs, the system automatically selects optimal browser characteristics without manual configuration. Parameters allow you to specify profile type: one-time (single use) or persistent profile (reusable). Supports launching either single or multiple browsers simultaneously from 1 to 1000+.
The API accepts the request and generates a new browser profile with browser configuration containing precise browser fingerprints from over 600,000 possible combinations. Each generated fingerprint has cross-fingerprint consistency and ensures connectivity between JS and Web API, Canvas, WebGL, Audio, Fonts, etc. By default, without passing any custom settings, the system automatically creates an optimal browser fingerprint configuration, eliminating the need for manual setup. Fine-tuning is possible with over 20 browser parameters and samples.
Everything happens in our managed cloud infrastructure - you don't need to host, configure, or maintain any servers. LLM Browser handles all the complexity of browser deployment, scaling, and security. Simply make API calls and we take care of the rest, from container orchestration to anti-detection measures.
A new container (pod) is created in our secure Kubernetes cluster with the selected base OS image corresponding to the generated fingerprint. OS-level configuration is applied: kernel version, system libraries, timezone, locale.
An isolated network environment is created with full traffic tunneling supporting HTTP, SOCKS5, SSH, OpenVPN proxies. With WebRTC leak blocking, DNS leak protection, IPv4/IPv6 support. TLS/HTTP/2 consistency is ensured.
Security and isolation are ensured. Each browser operates in a separate namespace with its own resources. A data encryption layer is added to ensure encryption and security of all data. Zero-trust is ensured - no data is transferred between profiles or outside the LLM Browser cloud perimeter. Compliance with GDPR/SOC2 standards.
The browser environment is configured with the launch of our anti-detect browser. The browser starts with the browser configuration from point 2. Screen resolution, fonts, browser extensions, plugins and other components are configured according to the config.
CDP undergoes sanitization and patches are applied to bypass automation detection, such as runtime leak fixes, hiding service contexts, isolation and masking of automation-specific objects, etc. Advanced Evasion Layer is launched to bypass Cloudflare, DataDome, PerimeterX, Kasada, etc.
Browser lifecycle management is launched with manual action capabilities: start, stop browser; save session with reusability option. The API is designed for maximum simplicity, convenience and data preservation. TTL is set for browsers.
A microservice is launched for automatic captcha solving. Capable of solving Image, Text Captcha; reCAPTCHA, Turnstile, DataDome, GeeTest, hCaptcha and others.
Browsers run in headless mode on our secure cloud infrastructure - not on your PC or server. SDK provides automated real-human interactions to avoid bot detection. Natural cursor movements, realistic keyboard typing with variable delays, smooth scrolling patterns, and human-like timing between actions. All interactions with the target website mimic genuine user behavior patterns . You can interact with browsers through various methods listed below.
Support for all CDP-compatible libraries such as Playwright, Puppeteer, Selenium, Chromedp, etc.
Supports MCP, LangChain, OpenAI CUA, Browser Use, n8n, CrewAI and others.
Fully compatible with ReAct Agents, Multi-Agent Systems, Tool-calling Agents, Autonomous Web Agents
For performing dynamic content retrieval and real-time web search
When your AI agent completes its task, LLM Browser automatically manages instance lifecycle. One-time profiles are completely destroyed for maximum security, ensuring no data leakage. Persistent profiles are safely stored with all cookies, localStorage, and browser state intact for future sessions. This automatic cleanup saves resources and maintains security without any manual intervention.
Join hundreds of developers using LLM Browser to bypass web protection at scale
No credit card required