Open-source AI browser automation library with specialized ChatBrowserUse models, stealth browsers, and Skill APIs that turn any website into a callable endpoint.
The leading open-source library that lets AI agents control web browsers like humans - click, type, and navigate websites using natural language instructions.
Browser Use is an open-source Python library that lets AI agents interact with websites the way humans do — clicking buttons, filling forms, reading content, and navigating multi-step workflows — using natural language task descriptions instead of hand-coded selectors or brittle XPath rules. Unlike traditional scraping tools that parse static HTML or require developers to maintain CSS selectors that break with every layout change, Browser Use combines a vision-based approach (screenshot analysis) with DOM tree extraction to identify and interact with page elements adaptively. The result is browser automation that survives website redesigns without code changes.
The platform's standout technical contribution is the ChatBrowserUse model family — BU Mini and BU Max — which are custom LLMs trained specifically on browser interaction patterns. According to Browser Use's published benchmarks, BU Mini completes routine browser tasks in approximately 40% fewer steps than GPT-4o on their internal evaluation suite, while BU Max handles complex multi-step workflows that general-purpose models struggle with. BU Mini is priced at approximately $0.72 per 1M input tokens and $4.20 per 1M output tokens, while BU Max runs approximately $3.60/$18.00 per 1M tokens — positioning them as cost-effective alternatives to sending full-page screenshots to frontier models.
Browser Use operates on two deployment modes from the same Python codebase. The open-source mode (MIT license, 55,000+ GitHub stars as of early 2026) runs entirely locally with your own LLM API keys and a local Chromium or Playwright browser — no cloud dependency, no usage limits, no feature gates. The cloud mode (toggled with use_cloud=True) adds managed browser infrastructure, stealth capabilities (fingerprint randomization, human-like input patterns, CAPTCHA auto-solving), premium proxies across 195+ countries, and the Skill API system.
Skill APIs represent one of Browser Use's most practical innovations. After an agent completes a browser workflow once, you can save it as a Skill — a reusable REST endpoint that replays the workflow without per-step LLM costs. Skills cost $2.00 to create and $0.02 per execution, making them dramatically cheaper than running a full agent loop for repetitive tasks like price checks, form submissions, or data pulls.
The library integrates with the broader AI agent ecosystem through LangChain compatibility, supporting model switching between ChatBrowserUse, GPT-4, Claude, Gemini, and other LangChain-compatible LLMs on a per-task basis. It also works with multi-agent frameworks like CrewAI for orchestrating browser agents alongside other AI tools.
Cloud subscription tiers range from pay-as-you-go (minimum $50 credit) through Startup ($40/month with advanced stealth and persistent memory), Scaleup ($2,500/month with HIPAA/DPA compliance), and custom Enterprise plans with dedicated infrastructure and on-prem deployment. The free open-source tier has no artificial limitations, making Browser Use accessible to individual developers and large teams alike.
Was this helpful?
Browser Use combines open-source flexibility with specialized AI models for browser automation that outperforms general-purpose LLMs on web tasks. The ChatBrowserUse models (BU Mini and BU Max) are the platform's strongest differentiator, reportedly completing routine browser tasks in roughly 40% fewer steps than GPT-4o based on Browser Use's internal benchmarks — though these figures have not been independently verified. The free open-source option provides genuine value with no artificial limitations, making it easy to evaluate before committing to cloud plans. Developers familiar with Python and async programming will find the setup straightforward; those without that background face a steeper learning curve than no-code alternatives like Bardeen or Axiom. The Skill API system is a practical innovation that converts agent workflows into cheap, repeatable endpoints. Cloud stealth features (CAPTCHA solving, proxy rotation, behavioral mimicry) work well for sites with aggressive bot detection. The main trade-offs are Python-only support, no visual builder, and token costs that can escalate on vision-heavy tasks.
Purpose-built LLMs trained on browser automation patterns. BU Mini handles routine tasks cost-efficiently at approximately $0.72 per 1M input tokens and $4.20 per 1M output tokens, while BU Max tackles complex multi-step workflows at approximately $3.60/$18.00 per 1M tokens. Browser Use reports that these models complete browser tasks in roughly 40% fewer steps than GPT-4o on their internal evaluation suite, though independent benchmarks are not yet available. Both models generate tighter action sequences by understanding browser-specific patterns like form fields, navigation menus, and authentication flows.
Combines screenshot analysis with DOM tree extraction to identify page elements through two complementary methods. Unlike pure selector-based tools that break when layouts change, the hybrid approach adapts to website redesigns automatically. The agent sees the page visually and structurally, choosing the most reliable identification method per element. This dual approach is especially effective on dynamic single-page applications (React, Vue, Angular) where DOM structure alone can be ambiguous and visual context resolves which element to target.
Record a browser workflow once and expose it as a callable API endpoint. Each skill costs $2.00 to create and $0.02 per execution — compared to $0.15–$0.50+ in LLM token costs for a full agent run of the same workflow. Eliminates per-step LLM costs for repetitive tasks, providing API-level reliability with browser automation flexibility. Pay-as-you-go plans support up to 5 active Skills; Startup plans support up to 100. Available only on cloud plans.
Cloud-hosted browsers with fingerprint randomization, human-like mouse movements and typing patterns, CAPTCHA auto-solving, and premium proxy pools covering 195+ countries. Basic stealth is included on pay-as-you-go plans. Advanced stealth on Startup ($40/month) and above adds agent-level behavioral mimicry that simulates realistic browsing patterns — scroll behavior, dwell time, and interaction cadence — to evade sophisticated bot detection systems used by major e-commerce and financial platforms.
The complete agent framework is open source on GitHub with 55,000+ stars as of early 2026 and an active contributor community. Run locally for development, testing, or production without any licensing costs. Same codebase works with local browsers or cloud infrastructure — toggle use_cloud=True to switch. The MIT license imposes no restrictions on commercial use, modification, or distribution, making it safe for enterprise adoption without legal review concerns.
Works with ChatBrowserUse models, OpenAI GPT-4, Anthropic Claude, Google Gemini, and any LangChain-compatible LLM. Switch models per task to optimize cost and capability — use cheaper models like BU Mini (~$0.72/1M input tokens) for simple navigation and premium models like BU Max or GPT-4o for complex reasoning-heavy workflows. Also integrates with multi-agent frameworks like CrewAI for orchestrating browser agents alongside other AI tools in larger automation pipelines.
$0
From $50 credit
$40/month
$2,500/month
Custom
Ready to get started with Browser Use?
View Pricing Options →We believe in transparent reviews. Here's what Browser Use doesn't handle well:
Weekly insights on the latest AI tools, features, and trends delivered to your inbox.
Browser Use launched its ChatBrowserUse custom model family (BU Mini and BU Max) trained specifically for web automation, reporting approximately 40% step-count reduction over GPT-4o on their internal browser task benchmarks. Skill APIs were introduced to convert recorded browser workflows into callable REST endpoints at $0.02 per execution, eliminating per-step LLM costs for repetitive tasks. The cloud platform expanded stealth capabilities with advanced behavioral mimicry and premium proxy coverage across 195+ countries. The open-source repository surpassed 55,000 GitHub stars, reflecting strong developer adoption and community growth. New integration support was added for connecting browser agents with popular services like Gmail, Slack, and Notion through the Startup and higher cloud tiers.
Search & Discovery
Cloud-hosted headless browser infrastructure built for AI agents, with stealth mode, session recording, and Playwright/Puppeteer compatibility. Free tier includes 1 browser hour; paid plans from $39/month.
Web & Browser Automation
Cross-browser automation framework for web testing and scraping that supports Chrome, Firefox, Safari, and Edge. Playwright provides reliable automation for modern web applications with features like auto-waiting, network interception, and mobile device simulation, making it essential for testing complex web applications and building robust web automation workflows.
Web & Browser Automation
Open-source browser API that handles JavaScript rendering and anti-bot detection automatically for AI agents and web automation
Web & Browser Automation
Enterprise web scraping and data extraction platform with a marketplace of 1,500+ pre-built Actors, managed proxy infrastructure, and native AI/LLM integrations for automated data collection at scale.
No reviews yet. Be the first to share your experience!
Get started with Browser Use and see if it's the right fit for your needs.
Get Started →Take our 60-second quiz to get personalized tool recommendations
Find Your Perfect AI Stack →Explore 20 ready-to-deploy AI agent templates for sales, support, dev, research, and operations.
Browse Agent Templates →