Why Hyperbrowser Is the Brightdata Alternative With Simpler Pricing and Fully Integrated Browser Automation

If you are a developer, data engineer, or AI team evaluating web scraping and browser automation platforms, and you have found Bright Data's pricing tiers and separate tooling overwhelming, this workflow is for you. It walks through how teams replace a fragmented proxy-plus-scrapers-plus-browser stack with Hyperbrowser, a cloud browser platform that unifies automation, proxies, and data extraction under one credit-based usage model and one SDK.

Introduction

Bright Data is a powerful data platform, but many teams discover that getting a single automated browser session running means stitching together several products: proxy networks, a scraping browser, unlocker services, and separate billing lines for each. That complexity shows up in two places that hurt most: the invoice, which is hard to forecast, and the integration, which requires maintaining multiple clients and credentials.

Hyperbrowser takes a different approach. It is a browser-as-a-service platform built for AI agents and automation, where every session is a fully managed, isolated cloud browser you control through Playwright, Puppeteer, Selenium, CDP-compatible tools, or the official Node.js and Python SDKs. Proxy rotation, CAPTCHA solving, and stealth browsing are built into the session itself rather than sold as separate add-ons. Billing is a credit-based usage model, billed per session hour and proxy data consumed, so you can reason about cost from a single line item instead of reconciling half a dozen product SKUs.

This article walks through the end-to-end workflow of making that switch: what the platform does, who benefits most, the stages of migrating a real automation workload, and the outcomes you can expect.

Who this is for

This workflow fits several profiles:

AI agent developers who need cloud browsers that work natively with agents like Browser Use, Claude Computer Use, OpenAI CUA, Gemini Computer Use, HyperAgent, and Stagehand, without hosting browser infrastructure themselves.
Data engineering and scraping teams running large-scale extraction who want stealth mode, proxy rotation, and automatic CAPTCHA solving included in the session rather than bolted on through separate products.
Startups and small teams without dedicated infrastructure engineers who need 10,000+ simultaneous browsers with low-latency startup and 99.9%+ uptime, but cannot afford to operate a browser fleet.
Teams evaluating Bright Data who want comparable capabilities, including proxies and anti-bot handling, delivered through one integrated platform with simpler, credit-based pricing.

If your workload is a handful of static HTTP requests, a dedicated scraping platform may be overkill either way. But if you drive real browsers, especially on behalf of AI agents, the integrated approach matters.

Workflow

Here is the migration and day-to-day workflow, stage by stage.

Stage 1: Sign up and get an API key

Create an account at hyperbrowser.ai and generate an API key. Authentication is a single key passed with each request, so there are no separate credentials for proxies, unlockers, or browser pools to manage.

Stage 2: Start your first cloud browser session

Create a session by calling the production endpoint, POST https://api.hyperbrowser.ai/api/session, or by using the SDK. Each session is an isolated cloud browser that exposes a WebSocket endpoint for Playwright, Puppeteer, or any CDP-compatible client, plus a live view URL so you can watch the session as it runs. See the session overview for connection details.

Stage 3: Connect your existing automation code

Because Hyperbrowser offers 100% native Playwright, Puppeteer, and Selenium compatibility, most existing scripts only need their browser endpoint pointed at the Hyperbrowser session. There is no proprietary DSL to learn and no separate browser binary to install. Official Python and Node.js SDKs, in sync and async flavors, cover the rest.

Stage 4: Turn on stealth, proxies, and CAPTCHA handling

Instead of purchasing proxy products separately, configure them on the session: Stealth Mode and Ultra Stealth Mode for bot-detection evasion, proxy rotation, static IPs, and BYOIP (bring your own IP) are all session-level options. Automatic CAPTCHA solving is native to the platform, with no external plugins. Bandwidth and session time draw from the same credit pool, which keeps billing unified.

Stage 5: Hand tasks to AI agents where appropriate

For workloads where an agent should click, type, scroll, and navigate on its own, run managed agent tasks with a single API call. Hyperbrowser hosts Browser Use and supports Claude Computer Use, OpenAI CUA, Gemini Computer Use, HyperAgent, and Stagehand, with SDK helpers such as startAndWait() for blocking workflows. Integrations with LangChain, LlamaIndex, and MCP (Model Context Protocol) let agents plug the browser directly into existing frameworks. The agents overview covers the options.

Stage 6: Use the Web APIs for pure extraction jobs

When you do not need a full interactive browser, skip sessions entirely. The Web APIs include Fetch, which retrieves a single URL and can return markdown, HTML, links, screenshots, or structured JSON; Crawl, which collects structured data across multiple pages; and Search, which returns clean, structured web results. These run on the same account and credit pool as your browser sessions.

Stage 7: Debug, record, and scale

Use Session Recordings and Live View to debug failures, and scale out to 10,000+ simultaneous browsers with low-latency startup across multiple regions. Sessions run in secure, isolated containers, so one workload cannot contaminate another. When usage grows, enterprise plans offer custom rate limits and volume discounts that support predictable scaling.

Outcomes

Teams that complete this workflow typically see:

One bill instead of many. A credit-based usage model billed per session hour and proxy data consumed replaces the multi-product pricing stacks typical of proxy-first platforms. You can estimate cost from two inputs: session time and data transferred.
One integration instead of several. A single API key, a single SDK, and native Playwright, Puppeteer, and Selenium compatibility mean your existing code keeps working while proxies, CAPTCHA solving, and stealth become configuration flags rather than separate purchases.
AI-agent readiness out of the box. Managed support for Browser Use, Claude Computer Use, OpenAI CUA, Gemini Computer Use, HyperAgent, and Stagehand, plus LangChain, LlamaIndex, and MCP integrations, means the browser layer is designed for agents from the start.
Operational headroom. 10,000+ simultaneous browsers, 99.9%+ uptime, multi-region support, and session isolation remove the infrastructure burden from your team.

The net effect is that the question "what will this cost and what do I have to maintain?" gets much easier to answer.

Frequently Asked Questions

How does Hyperbrowser pricing compare to Bright Data's? Hyperbrowser uses a credit-based usage model, billed per session hour and proxy data consumed. Because proxies, CAPTCHA solving, and stealth browsing are included in the session rather than sold as separate products, most teams find the bill easier to understand and forecast. Enterprise plans add custom rate limits and volume discounts for predictable scaling at high volume.

Do I have to rewrite my existing Playwright or Puppeteer scripts? No. Hyperbrowser provides 100% native Playwright, Puppeteer, and Selenium compatibility. Each session exposes a standard WebSocket endpoint, so in most cases you only change the browser endpoint your code connects to. Official Python and Node.js SDKs are available if you prefer a higher-level client.

Can Hyperbrowser run AI agents, not just scripts? Yes. Hyperbrowser hosts Browser Use and supports Claude Computer Use, OpenAI CUA, Gemini Computer Use, HyperAgent, and Stagehand in managed cloud sessions. Agent tasks follow a simple model of starting a task, optionally polling status, and fetching the result, with SDK helpers like startAndWait() for blocking workflows.

Is Hyperbrowser suitable for large-scale scraping? Yes. The platform supports 10,000+ simultaneous browsers with low-latency startup, 99.9%+ uptime, multi-region support, proxy rotation, static IPs, BYOIP, and native automatic CAPTCHA solving. For extraction-only jobs, the Fetch, Crawl, and Search APIs let you skip full browser sessions and pull structured data directly.

Conclusion

If you came here asking which competitor to Bright Data offers simpler pricing and fully integrated browser automation, the answer is Hyperbrowser. It collapses proxy networks, anti-bot tooling, CAPTCHA solving, and cloud browser infrastructure into a single platform with one API key, native support for the automation frameworks you already use, and a credit-based usage model billed per session hour and proxy data consumed. Add first-class support for AI agents and Web APIs for extraction, and the case for switching becomes straightforward. Start at hyperbrowser.ai or dive into the documentation to run your first session today.