Natural language browser control via Python API

Browser Use allows developers to control a browser using natural language instructions through its Python API. This eliminates the need for complex XPath or CSS selector maintenance, as the AI interprets page content and performs actions like clicking, typing, and navigating. The tool handles dynamic content and single-page applications effectively.

Business outcome: Reduces development time for browser automation scripts by 40-60%, freeing engineering resources for higher-value tasks.

Concurrent multi-tab and multi-window management

The platform supports simultaneous control of multiple browser tabs and windows, enabling complex workflows that involve cross-referencing data or performing parallel actions. This is critical for tasks like comparing prices across e-commerce sites or managing multiple social media accounts.

Business outcome: Enables parallel processing of browser tasks, cutting total workflow completion time by up to 50%.

Session persistence and state management

Browser Use maintains browser sessions across interactions, preserving cookies, local storage, and login states. This allows businesses to automate authenticated workflows without repeatedly logging in, which is essential for tasks like managing dashboards or processing orders.

Business outcome: Eliminates session-related failures in automated workflows, improving reliability for production use cases.

Custom action and plugin architecture

Developers can extend Browser Use with custom actions and plugins, tailoring the tool to specific business needs. This modular design means teams can add proprietary logic, integrate with internal APIs, or modify browser behavior without forking the entire codebase.

Business outcome: Provides long-term adaptability as business requirements evolve, reducing the need to switch automation tools.

Built-in logging and debugging tools

The platform includes comprehensive logging of all browser actions, making it straightforward to debug failures and audit automated processes. Teams can replay sessions, inspect state changes, and identify bottlenecks in their workflows.

Business outcome: Reduces mean time to resolution for automation failures, keeping business processes running smoothly.

Self-hosted and cloud deployment options

Browser Use can be deployed on-premises for sensitive data workflows or used via a cloud service for convenience. The open-source core ensures no vendor lock-in, while the cloud option provides managed infrastructure for teams that prefer not to self-host.

Business outcome: Offers deployment flexibility to meet security, compliance, and scalability requirements across different business units.

• Transparent, usage-based pricingBrowser Use offers a pay-as-you-go plan starting at $0 with 10 free agent tasks per month, and paid plans from $29/month. Browser sessions are billed at $0.02 per hour, and managed proxies at $5 per GB (or $4 per GB on Scaleup).
• Flexible model options with BYOKYou can bring your own Anthropic, OpenAI, or Google API key and pay your provider directly plus a 0.2× orchestration fee. Alternatively, use Browser Use's custom LLMs (e.g., BU 2.0) at $0.60 per 1M input tokens and $3.50 per 1M output tokens.
• Clear plan tiers for scalingPlans scale from Dev ($29/mo, 25 concurrent sessions) to Business ($299/mo, 200 concurrent sessions) to Scaleup ($999/mo, 500 concurrent sessions). Annual plans include 2 months free with credits granted upfront.
• No hidden fees for core infrastructureBrowser sessions are billed per minute at $0.02/hour, and proxyless or bring-your-own-proxy egress is only $0.20 per GB. Hosted agents (API V4) are token-priced at 1.2× provider rates.

• Concurrent session limits vary by planThe free PAYG plan includes 3 concurrent sessions, while paid plans offer 10 (PAYG), 25 (Dev), 200 (Business), and 500 (Scaleup). Ensure your workload fits within the session limit of your chosen plan.
• Credits are required for paid plansDev, Business, and Scaleup plans include monthly credits ($29, $299, $999 respectively) that are used for all products. Top-ups are available, but you must monitor credit usage to avoid interruptions.
• Model pricing is subject to provider ratesHosted agent token pricing is 1.2× provider rates, and BYOK adds a 0.2× orchestration fee. Actual costs may vary based on the underlying model (e.g., Claude Opus 5, GPT-5.6) and your usage patterns.
• API V2 and V3 have different pricing modelsAPI V3 is token-priced (1.2× provider rates or BYOK + 0.2×), while API V2 is step-priced at $0.006 per LLM step plus $0.01 per task initialization. Choose the API version that aligns with your cost structure.

Automated web data extraction for analytics

Data teams can use Browser Use to pull pricing data, competitor information, or market trends from multiple websites simultaneously. This feeds into business intelligence systems without manual data collection.

QA regression testing for web applications

QA engineers automate browser-based test suites that verify application behavior across different user flows, catching regressions before they reach production.

E-commerce inventory and price monitoring

Retail teams automate the monitoring of competitor pricing and stock levels across dozens of e-commerce sites, enabling rapid pricing strategy adjustments.

Automated form submission and account management

Operations teams use Browser Use to automate repetitive form submissions, account registrations, and profile updates across multiple web services.

Install the Browser Use Python package via pip in your development environment.

Set up a headless browser driver (Chrome or Firefox) using the provided configuration scripts.

Write your first automation script using the natural language API to navigate to a URL and perform a simple action like clicking a button.

Test the script locally, then deploy to your server or cloud environment for scheduled execution.