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Unblocking Browser for AI Agents & Web Automation at Scale

vytenis kaubre avatar

Vytenis Kaubrė

Last updated on

2025-10-07

3 min read

Headless browsers weren’t built for today’s anti-bot defenses. Keeping them stable and stealthy means developing resilient evasion strategies, monitoring health, and staying ahead of new detection methods. Scale this to parallel browsing sessions, and every failure point multiplies while the complexity of managing them grows even faster.

Oxylabs’ Unblocking Browser handles this challenge for you, combining stealth configuration, dynamic CAPTCHA bypass, built-in proxies, and cloud-native scaling into one managed solution. This lets teams building AI agents, web scrapers, or automated tests focus on core features instead of browser management and maintenance.

Read this post to learn about the key features of Unblocking Browser and how it works in practice.

What makes the Unblocking Browser different?

Detection algorithms are catching on to public headless browser tools like Playwright, just as AI agent adoption surges and demands human-like browsing at a massive scale. Traditional tools can't keep up, and paid SaaS alternatives often surprise users with hidden fees and restrictive limits.

This is where Unblocking Browser stands apart: a stealth-first and cloud-hosted solution built for the AI era. It delivers the fastest response times and market-leading success rates with complete pricing transparency. No hidden fees, no surprise charges for premium domains or proxies, no metered browser hours, and enterprise-grade stealth features across all plans.

Key features

Here's what makes Unblocking Browser powerful:

  • Human-like behavior: Mimics real user behaviors like mouse movements, typing, and navigation timing

  • Dynamic CAPTCHA bypass: Automatically overcomes CAPTCHAs on page load, or lets you trigger handling at any point during the session

  • Browser fingerprinting evasion: Modifies browser signals, such as screen size, fonts, time zones, WebGL, canvas, and others, to mimic genuine users

  • AI-ready: Integrates with Claude Desktop, Cursor, and other AI tools via Model Context Protocol (MCP) for automated workflows

  • Works with your stack: Use it with Playwright, Puppeteer, and other Chrome DevTools Protocol (CDP) frameworks

  • Multi-browser support: Choose between Chrome and Firefox based on your requirements

  • Powered by proxies: Routes traffic through 175M+ residential IPs for authentic requests

  • Zero maintenance: Browsers run entirely in the cloud with no local browser infrastructure needed

How does it work?

To get started with Unblocking Browser, head over to the dashboard and request a free trial.

Integration methods

There are two ways to integrate Oxylabs’ Unblocking Browser:

  • Using a CDP-based library, including Playwright, Puppeteer, and other CDP-compatible frameworks

  • Using MCP-compatible AI tools, such as Claude Desktop, Cursor, OpenAI Agents SDK, and others

Browsers

Once you've selected your method, choose the browser that best fits your needs. Both come with built-in proxy servers and excel in different scenarios, so you can use either one or experiment based on your target website to optimize the success rate.

Chrome browser

Unblocking Browser's remote Chrome environment prioritizes high performance, speed, and reliability. It automatically handles CAPTCHAs, supports custom browser arguments, and lets you emulate different device types for maximum flexibility.

Connect to Chrome via this WebSocket endpoint:

wss://ubc.oxylabs.io

Firefox browser

The remote Firefox environment delivers sophisticated stealth capabilities that are essential for navigating heavily protected sites. It features built-in anti-detection modifications and advanced fingerprint management.

Access headless Firefox through this WebSocket endpoint:

wss://ubs.oxylabs.io

Basic setup with Playwright in Python

The following code example uses Playwright in Python to control a cloud-based Chrome instance and routes browser requests through a US-based proxy.

from playwright.sync_api import sync_playwright


username = "YOUR_USERNAME"
password = "YOUR_PASSWORD"
endpoint = "ubc.oxylabs.io"
country = "US"
browser_url = f"wss://{username}:{password}@{endpoint}?p_cc={country}"

with sync_playwright() as p:
    browser = p.chromium.connect_over_cdp(browser_url)
    page = browser.new_page()
    page.goto('https://oxylabs.io/')
    print(page.title())
    browser.close()

Review our comprehensive documentation to understand all features and find more code examples.

AI-controlled browsing via MCP

You can connect any MCP-compatible AI tool directly to the Unblocking Browser, enabling AI to interact with and control remote browsers while overcoming advanced detection systems. Follow the configuration steps in our documentation to get started.

For example, let’s add this MCP configuration to Claude Desktop:

{
  "mcpServers": {
    "oxylabs_unblocking_browser": {
      "command": "npx",
      "args": [
        "@playwright/mcp@latest",
        "--cdp-endpoint",
        "wss://<username>:<password>@ubc.oxylabs.io"
      ]
    }
  }
}

This allows Claude to navigate websites with human-like precision by clicking elements, typing text, solving CAPTCHAs, and handling other browser interactions.

When to use it?

Unblocking Browser handles the toughest automation challenges:

  • AI agent automation: Give AI agents the ability to browse like humans at scale, accessing sites that typically block AI tools

  • JavaScript-heavy site scraping: Render, navigate, and extract public data from complex websites that defeat traditional scrapers

  • CAPTCHA-heavy environments: Automate human-like interactions that seamlessly pass detection systems

  • Threat intelligence & compliance: Access, monitor, and analyze sites protected by strong anti-bot defenses to identify fraud, threats, and compliance risks

Wrap up

Oxylabs’ Unblocking Browser eliminates browser automation complexities and lets you instantly scale projects through a plug-and-play integration. With enterprise-grade stealth, native MCP support for AI workflows, and transparent pricing, teams can focus on shipping features instead of developing and maintaining browser infrastructure.

Explore our documentation and MCP GitHub repository for more details. Feel free to reach out via email or live chat if you have any questions.

About the author

vytenis kaubre avatar

Vytenis Kaubrė

Technical Content Researcher

Vytenis Kaubrė is a Technical Content Researcher at Oxylabs. Creative writing and a growing interest in technology fuel his daily work, where he researches and crafts technical content, all the while honing his skills in Python. Off duty, you may catch him working on personal projects, learning all things cybersecurity, or relaxing with a book.

All information on Oxylabs Blog is provided on an "as is" basis and for informational purposes only. We make no representation and disclaim all liability with respect to your use of any information contained on Oxylabs Blog or any third-party websites that may be linked therein. Before engaging in scraping activities of any kind you should consult your legal advisors and carefully read the particular website's terms of service or receive a scraping license.

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