Try Browser Use
Overview
Browser Use is the library that made natural-language browser automation a normal thing to build with. You describe what you want done — log into this dashboard, pull the last thirty invoices, put them in a CSV — and the agent drives a real browser to do it, reasoning about the page rather than replaying a brittle selector script that breaks the next time a designer moves a button.
It is the performance leader among open-source browser agents, with a state-of-the-art 89.1% success rate on the WebVoyager benchmark, and the adoption to match: over 95,000 GitHub stars makes it the de-facto standard developers reach for first. That matters more than the benchmark gap over rivals, because it means the examples, the Stack Overflow answers and the integrations already exist when you get stuck.
Architecturally it is a framework, not a service. You supply the model API key, you decide where the browser runs, you own the infrastructure bill. In production most teams pair it with managed browser infrastructure — Browserbase being the common choice — so Browser Use handles the agent logic while someone else handles sessions, proxies and the fleet of headless Chromes.
Key Features
Natural-Language Task Definition
Describe the goal in plain English instead of writing selectors. The agent reasons about the rendered page, so layout changes do not break the automation.
Fully Open Source
The complete agent loop is inspectable and forkable. No black box between your prompt and the clicks it produces — which matters when it does something unexpected.
Bring Your Own Model
Works with OpenAI, Anthropic, Google and local models. You control cost, latency and where the reasoning happens.
State-of-the-Art Benchmark Results
89.1% on WebVoyager, the highest published score among open-source browser agents and competitive with commercial products.
Composable with Managed Infrastructure
Pairs cleanly with Browserbase or self-hosted browser fleets. The library does agent logic and leaves session management to whatever you already run.
Python-Native
Ships as a Python library, so it drops into existing data pipelines, schedulers and backend services without a new runtime.
Pros & Cons
Advantages
- Highest published WebVoyager score of any open-source browser agent
- 95,000+ stars means the ecosystem answers most questions for you
- No vendor lock-in — your model keys, your infrastructure
- Resilient to layout changes that break selector-based scripts
- Free to run beyond model and compute costs
Disadvantages
- You own the infrastructure: browsers, proxies, retries, scaling
- Model costs on long tasks add up quickly and are easy to under-budget
- Non-deterministic by nature — needs verification steps in production
- Bot detection on protected sites remains an unsolved problem
Pricing Plans
| Plan | Price | Key Features |
|---|---|---|
| Open Source | Free | Full framework, self-hosted, you pay only model and compute |
| Cloud | Usage-based | Hosted runs without managing browser infrastructure yourself |
Best Use Cases
Browser Use Excels At:
- Automating internal tools and dashboards that have no API
- Data collection across sites where the layout changes often
- Teams that need to inspect and modify the agent loop
- Prototyping automations before committing to a commercial platform
May Not Be Ideal For:
- Teams without engineering capacity to run browser infrastructure
- Workflows requiring deterministic, audited, repeatable execution
- Targets with aggressive bot protection
How It Compares
Browser Use vs Skyvern
Browser Use leads overall at 89.1% WebVoyager against Skyvern's 85.85%, but Skyvern is measurably better on form-filling specifically and ships more enterprise scaffolding. Pick Browser Use for general automation and community depth, Skyvern for high-volume form workflows.
Browser Use vs Browserbase
They are not competitors — they are layers. Browser Use is the agent logic; Browserbase is the managed browser infrastructure it runs on. The common 2026 production stack is both together plus your own model key.
Final Verdict
Our Recommendation
Browser Use is the correct default for anyone building browser automation in 2026. The benchmark lead is real but the adoption is the stronger argument: at 95,000 stars, the problem you hit at 2am has almost certainly been hit and documented by someone else. Go in clear-eyed about the two costs nobody budgets for — model spend on long-running tasks, and the engineering time to run browsers reliably at scale. Pair it with managed infrastructure rather than building a headless Chrome fleet yourself, and add verification steps to anything that touches production data.