Hyperbrowser

Scales headless browsers for AI agent web automation and data extraction

Hyperbrowser is a cloud platform that runs and scales headless browsers in isolated containers for web automation and AI-driven tasks. It supports browser automation for scraping, testing, and form filling. Data extraction structures web content at scale for analysis. AI agent operations enable browsing, collection, and web app interactions. Captcha handling automates solutions in workflows. Stealth browsing avoids bot detection through mode operations. Session management provides logging, debugging, and isolation.

The platform handles massively concurrent sessions, supporting 1,000+ browsers without degradation. It guarantees 99.9% uptime for reliability. Browser launches occur in sub-second times for scaling. Fault tolerance includes auto-recovery mechanisms. APIs integrate with tech stacks via SDKs in Python and Node.js. Code examples demonstrate agent tasks like ordering via DoorDash using OpenAI CUA.

Pricing includes a free tier with 1,000 credits, one concurrent browser, and basic stealth. The Startup plan costs $30 monthly plus usage, offering 30,000 credits and 25 concurrents with captcha solving. Scale plan at $100 monthly provides 100,000 credits and 100 concurrents with advanced stealth. Enterprise offers custom pricing with premium support and HIPAA compliance. Credits cost $0.001 each, browser hours $0.10, and proxy data $10 per GB.

Competitors include Browserbase for similar agent infrastructure but with added no-code tools, and Browserless for Docker-based deployments suited to smaller QA scales. Hyperbrowser excels in AI integrations and stealth features. Users report stable long sessions but note occasional proxy configuration needs. The platform processes 10M+ sessions and 5M+ pages scraped.

For implementation, start with the SDK to launch sessions and monitor via dashboard. Use MCP for multi-agent links. Test with free credits on simple scrapes before scaling. Integrate proxies for geo-specific tasks and review logs for optimizations.

Homepage Screenshot 📸

Video Overview 🎬

What are the key features? ✨

Browser Automation: Runs headless browsers to automate scraping, testing, and form filling tasks.
Data Extraction: Scrapes and structures web data at scale for direct analysis and insights.
AI Agent Operations: Integrates with agents for browsing, data collection, and web app interactions.
Captcha Handling: Automatically solves captchas to maintain uninterrupted automation flows.
Stealth Browsing: Operates in mode that bypasses bot detection for undetected access.

Who is it for? 🤔

Hyperbrowser suits AI developers building web-interacting agents, data scientists needing scalable scraping without local overhead, automation engineers handling testing or form tasks at volume, and startups scaling browser ops affordably, as it offloads infrastructure while delivering reliable, stealthy performance that frees teams to focus on logic over logistics.

Examples of what you can use it for 💡

AI Developer: Builds agents to autonomously navigate sites, extract prices, and compile reports using integrated CUA for e-commerce monitoring.
Data Scientist: Scrapes competitor data from dynamic pages, structures it via APIs, and feeds into models for trend analysis.
QA Engineer: Automates form testing across browsers, logs sessions for debug, and scales tests concurrently without local setup.
Marketing Analyst: Handles captchas to gather social insights, rotates proxies for geo-targeted pulls, and isolates sessions securely.
DevOps Specialist: Manages long-running agent workflows, recovers faults auto, and integrates with CI/CD for reliable web simulations.

Pros & Cons ⚖️

Fast sub-500ms launches
Scales to 10k+ sessions
Built-in captcha solver
Stealth anti-detection

Proxy costs add up
Learning curve for MCP

FAQs 💬

What is Hyperbrowser primarily used for?

Hyperbrowser provides cloud headless browsers for AI agent automation, web scraping, and testing, running in isolated containers for security and scale.

How does Hyperbrowser handle bot detection?

It uses stealth mode with fingerprinting, proxy rotation, and behavior simulation to mimic human actions and avoid blocks.

What AI agents integrate with Hyperbrowser?

It supports OpenAI CUA, Claude Computer Use, and Browser Use, with MCP for custom multi-agent setups.

Is there a free plan available?

Yes, the free tier includes 1,000 credits, one concurrent browser, and basic features for testing.

How scalable is Hyperbrowser for concurrent sessions?

It supports over 10,000 concurrent browsers with zero degradation and 99.9% uptime guarantee.

What pricing model does it follow?

Subscription plans start at $0 free, $30 Startup, $100 Scale, with credits at $0.001 each plus usage fees.

Can Hyperbrowser solve captchas automatically?

Yes, auto-captcha solving is included in paid plans to streamline workflows without interruptions.

What SDKs are available for integration?

Python and Node.js SDKs provide synchronous and asynchronous clients for easy API access.

How does it compare to Browserbase?

Hyperbrowser focuses on AI-specific stealth and integrations, while Browserbase offers more no-code options but similar scaling.

What is the data retention policy?

Free plan retains 7 days, Startup and Scale 30 days, Enterprise up to 180+ days for session logs.

Ready to try Hyperbrowser?