Browser Use
Browser Use makes websites accessible to AI agents by providing agents that operate real browsers and managed browser infrastructure that an agent or automation team can control. Its stated ambition is to become the default interaction layer between agents and the browser and make browser automation ubiquitous.
At a Glance
- AI startups
- Enterprise automation teams
- Browser automation and web-scraping teams
- Software engineering and coding-agent teams
- +4 more
AI Tools by Browser Use
(5)
Jev Ultrafast
Open Source Python Browser Agent
video-use
AI Video Editing Agent Skill
Browser Use Desktop
Local Browser Agent Desktop App
Browser Harness
LLM Browser Automation Harness
Browser Use
AI Web Agent Browser Platform
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Latest News
Published Best Browser Infrastructure for AI Agents (2026), comparing Browser Use with Kernel, Browserbase, Steel, Browserless, Anchor, and Hyperbrowser.
Jev Ultrafast repository and real-web Google Flights demo announced; the demo reports a 7.1-second Zürich-to-London search.
Published the production architecture used to run millions of agents.
Introduced Browser Use Box (BUX), a 24/7 remote VM with Claude Code and Browser Harness.
Products & Services
Fully hosted agents: users describe a task in natural language and receive completed work and structured JSON-schema output from an agent running in a real stealth browser.
Managed remote Chromium browsers for an organization's own agents, automation, and scrapers, exposed through SDK, REST, and CDP with stealth, proxies, profiles, recordings, live view, and concurrency.
Open-source Python browser-agent framework for building and running agents that click, type, scroll, navigate, and extract information from live websites.
A browser-control harness for Claude Code, Codex, Gemini CLI, Cursor, Hermes Agent, and OpenClaw; it gives coding agents a real local or Browser Use Cloud browser over CDP with accessibility-tree targeting.
Market Position
Browser Use combines an open-source browser-agent framework with two commercial products: hosted agents and managed stealth browser infrastructure. Its official materials position it as a low-cost, pay-per-use alternative to Browserbase, Kernel, Steel, Browserless, Anchor, and Hyperbrowser, emphasizing $0.02/browser-hour pricing, built-in CAPTCHA solving, 195+ country proxy coverage, and leading published stealth and live-agent benchmark results. Comparable open-source projects include Stagehand, Skyvern, and browserless.
Leadership
Founders
Magnus Müller
Co-founder and CEO. Studied Data Science at ETH Zürich, published for Cambridge CARES, and worked in R&D for process-automation companies; he has developed bots and web automations since learning to code.
Gregor Žunič (Gregor Zunic)
Co-founder and CTO. Has a master's-level Data Science background at ETH Zürich and a bachelor's degree in Physics; he is described by the founders' investor profile as the technical co-founder.
Executive Team
Magnus Müller
Co-founder and CEO
ETH Zürich Data Science background; previously worked in process-automation R&D and built bots and web automations.
Gregor Žunič
Co-founder and CTO
ETH Zürich Data Science background and a bachelor's degree in Physics; co-leads the technical development of Browser Use.
Founding Story
The founders met at ETH Zürich and started Browser Use after seeing that LLMs could navigate the web like humans but lacked reliable browser access. The initial project was a weekend experiment: they built a prototype in four days and launched it on Hacker News, with the vision of enabling AI to interact with the web seamlessly rather than relying on brittle, site-specific automation.
Business Model
Revenue Model
Usage-based cloud pricing. Browser Infrastructure is pay-per-use for browser time and network traffic; Browser Use Agents add a service fee on top of model-token cost. Enterprise customers can negotiate custom concurrency, SLAs, data policies, dedicated support, and annual credit pools. The open-source software is a developer adoption channel.
Pricing Tiers
Pay per use with no subscription or commitment; managed residential proxies are $5/GB and direct/own proxies are $0.20/GB.
Example given by the pricing page: $1 in model tokens becomes $1.20, plus browser time and traffic at the browser rates.
Custom concurrency, SLAs, data policy, HIPAA support, zero data retention, and enterprise support; the enterprise page says the same $0.02/browser-hour pay-per-use pricing is available with no commitment.
Announced April 2026 for remote browsers and Browser Use agents; eligible new signups also receive $1 in free credits under the published eligibility rules.
Target Markets
- AI startups
- Enterprise automation teams
- Browser automation and web-scraping teams
- Software engineering and coding-agent teams
- E-commerce and commerce technology
- Financial services
- Multi-page research and data extraction
- Authenticated website tasks and login automation
- Form filling and repetitive browser workflows
- Shopping, comparison, and booking flows
- Browser testing and QA
- Web scraping and monitoring of changing sites
- Airbnb
- Amazon
- Anthropic
- Apple