A broad managed browser cloud that can host either raw automation or several agent stacks—including Browser Use, HyperAgent, and model-native computer use—behind one SDK and operational layer.
100,000 credits, 100 browsers, premium residential proxies, and 30-day retention.
EnterpriseCustom
1,000+ browsers, ultra stealth, custom limits, compliance, and longer retention.
Pricing checked: Aug 30, 2026 · Subscription, usage limits, and model costs may be billed separately.
Features & details
Cloud sessions
Playwright, Puppeteer, Selenium, and SDK control
Profiles, extensions, files, and static IPs
Stealth, CAPTCHA, proxies, and regions
Live view and recordings
Agent choices
Browser Use
HyperAgent
Claude and Gemini computer use
OpenAI CUA and Grok computer use
Web and runtime APIs
Fetch, search, scrape, crawl, and extract
MCP integration
Node.js and Python SDKs
Isolated sandboxes for agent code
Hyperbrowser Review 2026
Hyperbrowser is cloud browser infrastructure for AI agents with managed Chrome sessions, stealth, proxies, CAPTCHA solving, profiles, recordings, web data APIs, sandboxes, MCP, and several hosted browser-agent options.
The official Hyperbrowser website, captured on August 30, 2026.
What is Hyperbrowser?
Hyperbrowser lets developers control cloud Chrome through Playwright, Puppeteer, Selenium, or its SDKs, then layers on session profiles, recordings, live view, regional proxies, CAPTCHA handling, extensions, file transfer, and stealth. The same platform can run Browser Use, Claude computer use, OpenAI CUA, Gemini computer use, Grok computer use, or Hyperbrowser's open-source HyperAgent.
A broad managed browser cloud that can host either raw automation or several agent stacks—including Browser Use, HyperAgent, and model-native computer use—behind one SDK and operational layer.
How Hyperbrowser works
The basic architecture is straightforward: your application or coding agent requests a browser environment, connects through the supported SDK or protocol, performs the task, and releases the session. Production features then handle state, identity, networking, recordings, and debugging around that browser. The important buying question is not simply whether the service can launch Chrome; it is which parts of the agent stack it expects you to own.
Core capabilities
Cloud sessions
Playwright, Puppeteer, Selenium, and SDK control
Profiles, extensions, files, and static IPs
Stealth, CAPTCHA, proxies, and regions
Live view and recordings
Agent choices
Browser Use
HyperAgent
Claude and Gemini computer use
OpenAI CUA and Grok computer use
Web and runtime APIs
Fetch, search, scrape, crawl, and extract
MCP integration
Node.js and Python SDKs
Isolated sandboxes for agent code
Pricing
Hyperbrowser's free tier includes 5,000 credits and one concurrent browser. Startup is $30/month with 30,000 credits and 25 browsers; Scale is $100/month with 100,000 credits and 100 browsers. One credit is $0.001. Browser sessions are listed at $0.10/hour, proxy data at $10/GB, and Browser Use or HyperAgent at $0.02 per step, plus browser and model usage where applicable.
Browser-agent costs are workload-sensitive. Estimate active browser duration, average memory shape, peak concurrency, proxy bandwidth, CAPTCHA volume, model tokens, agent steps, recordings, and retention instead of comparing only the lowest monthly plan. Prices and limits below were checked against official sources on 2026-08-30.
Best use cases
Teams evaluating several browser-agent stacks.
Products mixing interactive browser work with scraping and web APIs.
High-concurrency managed sessions with built-in anti-bot tooling.
Trade-offs
Agent steps, browser time, proxy traffic, and model tokens can compound.
The broad product surface requires careful architecture choices.
Cloud-only browser state and recordings need governance.
Enterprise stealth and large concurrency are not in self-serve tiers.
How it compares
Choose Hyperbrowser when you want to compare or switch among multiple browser-agent approaches without rebuilding the browser fleet. Its web Fetch, Search, Scrape, Crawl, and Extract APIs also let an agent avoid opening a full browser when a lighter data primitive is enough.
The closest alternatives are Browserbase, Kernel, Steel, Notte, Anchor Browser, and Browser Use. Test candidates with the same authenticated workflow, region, proxy policy, success criteria, and retry budget. Vendor-reported speed or success numbers are not directly comparable when tasks, browsers, models, and anti-bot conditions differ.
Privacy and production checklist
Hyperbrowser may process page content, profiles, recordings, uploaded/downloaded files, agent prompts, proxy traffic, and model inputs. Published self-serve retention ranges from seven to 30 days. Verify profile encryption, recording access, regional execution, proxy policy, model-provider routing, and deletion behavior.
Use domain allowlists, least-privilege credentials, short session lifetimes, explicit user consent, human approval for consequential actions, and auditable task logs. Browser automation should respect site terms, robots policies where applicable, privacy law, and rate limits. Prefer a supported API whenever it provides the required capability.
Verdict
A versatile managed layer for teams that want raw browsers, web data APIs, and multiple browser-agent implementations under the same operational model.
Computer-use models through supported integrations
Privacy & data handling
Hyperbrowser may process page content, profiles, recordings, uploaded/downloaded files, agent prompts, proxy traffic, and model inputs. Published self-serve retention ranges from seven to 30 days. Verify profile encryption, recording access, regional execution, proxy policy, model-provider routing, and deletion behavior.
