AI Deck

Hyperbrowser ─ A Cloud Browser API for AI Agents That Scales Scraping and Automation Without Managing Infrastructure

Hyperbrowser is an infrastructure platform that exposes cloud browsers through an API, built for AI agents and scraping workloads. You can connect Puppeteer, Playwright, Selenium, or your existing frameworks as they are, and scale web scraping, testing, and automation without running your own servers or containers. In March 2025 the company released an MCP server, which lets compatible AI assistants such as Claude browse the web directly. Since early 2026 it has continued to add infrastructure and proxy features, including custom residential proxy integration, static IP assignment, and a unified billing model that combines browser usage and proxy charges.

Key Features

  • Connect from Puppeteer, Playwright, or Selenium: You can attach directly to a cloud browser session with calls such as chromium.connectOverCDP(). Python and Node.js SDKs plus a REST API are available, so existing automation code can be migrated with minimal rewriting
  • Stealth mode, automatic CAPTCHA solving, and residential proxies: Session options include bot-detection evasion through fingerprint randomization and spoofed device, OS, and locale settings (the more advanced Ultra Stealth Mode is reserved for the Enterprise plan), automatic CAPTCHA detection and solving, and auto-rotating residential proxies (sticky sessions are supported for maintaining state)
  • HyperAgent and AI agent integration: Hyperbrowser provides HyperAgent, an open-source automation framework that extends Playwright and lets you drive the browser and extract data in natural language via page.ai() and page.extract(). It also integrates with multiple AI agent frameworks, including Claude Computer Use, OpenAI, Gemini, Grok, and Browser-Use
  • MCP server support: The MCP server is published as hyperbrowserai/mcp and exposes three tools: scrape_webpage (fetch a page), extract_structured_data (pull structured data), and crawl_webpages (crawl a site). Session options let you enable stealth, proxies, CAPTCHA solving, and automatic cookie-consent handling
  • Live View, session replay, and profile management: Live View lets you watch a running browser in real time from the dashboard, and session replay lets you review the steps after execution. Browser profiles can be saved and reused, so you can repeat automations while staying logged in. Multi-region infrastructure and pre-warmed containers support large numbers of concurrent sessions while keeping cold starts short

Pricing

PlanPriceKey Features
Free$05,000 credits included, 1 concurrent browser, 7-day data retention
StartupFrom $30/month30,000 credits included (overage billed per usage), 25 concurrent browsers, 30-day data retention, automatic CAPTCHA solving, basic stealth, residential proxies
ScaleFrom $100/month100,000 credits included (overage billed per usage), 100 concurrent browsers, 30-day data retention, premium residential proxies
EnterpriseContact sales1,000+ concurrent browsers, Ultra Stealth Mode, HIPAA/SOC 2 compliance, 180+ days of data retention, dedicated support

One credit equals $0.001. A browser session consumes 100 credits per hour ($0.10), and proxy usage consumes 10,000 credits per GB ($10). API calls themselves are free, and paid plans have no rate limits.

Pricing is current as of August 2026. Check the official site for the latest information.

Pros and Cons

Pros

  • Connects directly from Puppeteer, Playwright, Selenium, or MCP, so existing automation code can be migrated with minimal rewriting
  • Automatic CAPTCHA solving, residential proxy rotation, and stealth mode are built in as session options, so you do not have to implement bot-detection evasion yourself
  • Live View, session replay, and saved profiles make it easy to inspect automation behavior and reuse logged-in state
  • Supports operation by AI agents through HyperAgent and the MCP server, so it works for agent use cases and not only scraping
  • The free plan includes 5,000 credits and can be tried without registering a credit card

⚠️ Cons

  • Because billing is credit-based, some users note that estimating usage and forecasting costs for large-scale scraping is difficult
  • Concurrency is tied to the plan (Free 1, Startup 25, Scale 100), so credits are easy to waste unless you design your concurrency ahead of time
  • Some advanced features, such as automatic CAPTCHA solving and Ultra Stealth Mode, require a paid plan or higher
  • The design is oriented toward developers and enterprises rather than small-scale individual use

Comparison with Similar Services

CriteriaHyperbrowserBrowserbaseSteel
Primary useHigh-volume scraping and AI agent automationBrowser automation for AI agents (integrated with Stagehand)Open-source, self-hostable browser automation
Open sourcePartially (HyperAgent, etc.)Closed (proprietary)Yes (Apache 2.0)
Self-hostingLimitedNot supportedSupported
CAPTCHA solvingBuilt inVia add-ons/partnersRequires your own implementation
Billing modelCredit-based (session time + proxy usage)Usage-based on session time + bandwidthUsage-based on session time

Who Is It For?

  • Developers who want to move Puppeteer/Playwright-based scraping or testing to API-driven cloud browsers and stop managing infrastructure
  • Teams that want to avoid building their own CAPTCHA bypass and residential-proxy-based bot-detection evasion
  • Developers who want to give AI agents such as Claude, OpenAI, or Gemini web browsing capabilities, including via MCP
  • Companies looking for a large-scale scraping and automation platform that handles tens to hundreds of concurrent browser sessions

Summary

Hyperbrowser is a cloud browser platform you can connect to directly from Puppeteer, Playwright, Selenium, or AI agent frameworks, with bot-detection evasion features such as automatic CAPTCHA solving, residential proxy rotation, and stealth mode included as standard. It also supports MCP, so compatible AI assistants such as Claude can browse the web directly. Since some users find the credit-based billing makes cost forecasting harder at scale, it is worth estimating your expected session counts and proxy usage before adopting it.

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