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Browser Use: управление браузером агентом через Python и CLI

What can Browser Use do?

Browser Use — библиотека и облачный сервис для управления браузером агентом: заполнение форм, извлечение данных, обход капч. Есть open-source и облачная версии, интеграция через CLI или Python.

что из этого моё

Можно использовать Browser Use как инструмент для автоматизации рутинных веб-задач в оркестрации: например, агент может собирать данные с сайтов, заполнять формы, проверять статусы. Для оператора входа в AI это способ расширить возможности агентов за пределы API — дать им 'руки' для работы с веб-интерфейсами. Особенно полезно для задач, где нет API или нужен обход капч (через облако).

Что забрать

отметь, что берёшь в работу → или отбрось как не своёмоё →

установить browser-use через uv и зарегистрировать скилл в Claude Code

создать Python-скрипт с browser-use для автоматизации повторяемой веб-задачи

настроить синхронизацию профиля Chrome через profile-use для аутентификации

расшифровка ролика ↓

<picture> <source media="(prefers-color-scheme: light)" srcset="https://github.com/user-attachments/assets/2ccdb752-22fb-41c7-8948-857fc1ad7e24"> <source media="(prefers-color-scheme: dark)" srcset="https://github.com/user-attachments/assets/774a46d5-27a0-490c-b7d0-e65fcbbfa358"> <img alt="Shows a black Browser Use Logo in light color mode and a white one in dark color mode." src="https://github.com/user-attachments/assets/2ccdb752-22fb-41c7-8948-857fc1ad7e24" width="full"> </picture>

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</br>

# What can Browser Use do?

Browser Use lets an AI agent use a web browser the same way humans do — it opens pages, clicks buttons, types, and fills in forms. You describe the task, and it completes it. For example, you can have it:

### 📋 Fill Forms #### Task: "Fill in this job application with my resume and information."

![Job Application Demo](https://github.com/user-attachments/assets/57611d8e-0474-4de6-84b7-37a0c0cd27e7)

[Example code ↗](https://github.com/browser-use/browser-use/blob/main/examples/use-cases/apply_to_job.py)

### 🍎 Extract data #### Task: "Extract structured data about my followers and export it as a CSV."

https://github.com/user-attachments/assets/485fd3ec-61b9-4afc-9e86-ee9b85acb592

[Browser Use Cloud Docs ↗](https://docs.browser-use.com/cloud/quickstart)

<br/>

# Quickstart

If you want to use Browser Use in your agent (Claude Code, Codex, Cursor, Hermes, OpenClaw, etc.), paste this prompt, and it sets everything up itself:

```text Install or upgrade browser-use to the latest stable version with uv using Python 3.12, run `browser-use skill install` to register the skill, and connect it to my browser. If setup or connection fails, follow https://github.com/browser-use/browser-harness/blob/main/install.md. ```

Then tell your agent what you want done.

<br/>

# Python library: the easiest way to automate the web

Want to automate the web at scale, from your own code, and with any LLM? Use the Python library:

**1. Install Browser Use (Python >= 3.11):**

```bash uv add browser-use # or: pip install browser-use ```

**2. Add your LLM API key to `.env`**. Get one from [Browser Use Cloud](https://cloud.browser-use.com/new-api-key?utm_source=github&utm_medium=readme-quickstart-api-key), or bring your own provider key:

```bash # .env BROWSER_USE_API_KEY=your-key # GOOGLE_API_KEY=your-key # ANTHROPIC_API_KEY=your-key ```

**3. Run your first agent:**

```python import asyncio

from browser_use import Agent, ChatBrowserUse

async def main(): agent = Agent( task="Find the number of stars of the browser-use repo", llm=ChatBrowserUse(model='openai/gpt-5.5'), # llm=ChatBrowserUse(model='bu-2-0-mini-preview'), # Browser Use's optimized model # llm=ChatOpenAI(model='gpt-5.5'), # llm=ChatAnthropic(model='claude-opus-4-8'), # Sonnet also works well ) history = await agent.run()

if __name__ == "__main__": asyncio.run(main()) ```

Check out the [library docs](https://docs.browser-use.com/open-source/introduction) and the [cloud docs](https://docs.cloud.browser-use.com?utm_source=github&utm_medium=readme-cloud-docs) for more!

<br/>

# Open Source vs Cloud

We benchmark Browser Use across 100 real-world browser tasks. Full benchmark is open source: **[browser-use/benchmark](https://github.com/browser-use/benchmark)**.

Browser Use is also **#1 on the [Odysseys leaderboard](https://odysseysbench.com/leaderboard)** with an 87.4% average, ahead of computer-use agents from OpenAI, Anthropic, Google, and Microsoft. Odysseys measures the agent's performance on 200 long-horizon web tasks.

**Use the Open-Source Agent** - Free, and runs on your own machine - Deep code-level integration and control: pick your LLM, customize the agent's behavior - We recommend pairing it with our [cloud browsers](https://docs.browser-use.com/open-source/customize/browser/remote) for leading stealth, proxy rotation, and scaling

**Use the [Fully-Hosted Cloud Agent](https://cloud.browser-use.com?utm_source=github&utm_medium=readme-hosted-agent) (recommended)** - Much more powerful agent for complex tasks (see plot above) - Easiest way to start and scale - Best stealth with proxy rotation and captcha solving - 1000+ integrations (Gmail, Slack, Notion, and more) - Persistent filesystem and memory

```sh curl -X POST https://api.browser-use.com/api/v4/runs \ -H "X-Browser-Use-API-Key: $BROWSER_USE_API_KEY" \ -H "Content-Type: application/json" \ -d '{"task": "Your task"}' ```

<br/>

## Integrations, hosting, custom tools, MCP, and more on our [Docs ↗](https://docs.browser-use.com)

<br/>

# FAQ

<details> <summary><b>Should I use the CLI vs. the Python library?</b></summary>

**Use the CLI** if you already have an agent (Claude Code, Codex, Cursor, Hermes, OpenClaw, etc.) that you want to complete browser tasks for you. The agent installs the skill once (see [Quickstart](#quickstart)) and can then control the browser. Examples: - "Upload this video to YouTube" - "Compare these three laptops and give me a table with prices" - "Fill in this job application with my resume"

**Use the Python library** when you are building software that automates the web. Examples: - Run many tasks on a schedule or in parallel (scraping, monitoring, QA) - Embed a browser agent into your own product - Custom tools, custom system prompts, structured output, fine-grained browser control

Rule of thumb: one-off tasks through an agent → CLI. Repeatable automation in code → Python library. </details>

<details> <summary><b>What's the best model to use?</b></summary>

We optimized **ChatBrowserUse()** specifically for browser automation tasks. On avg it completes tasks 3-5x faster than other models with SOTA accuracy.

For pricing and other LLM providers, see our [supported models documentation](https://docs.browser-use.com/supported-models). </details>

<details> <summary><b>Can I use Claude / GPT / Gemini through ChatBrowserUse?</b></summary>

Yes. `ChatBrowserUse` accepts provider-prefixed model ids, so a single `BROWSER_USE_API_KEY` reaches all of them — no separate OpenAI/Anthropic/Google keys required:

```python from browser_use import Agent, ChatBrowserUse

llm = ChatBrowserUse(model='anthropic/claude-sonnet-4-6') # or 'openai/gpt-5.5', 'google/gemini-3-pro' agent = Agent(task='...', llm=llm) ```

For the best speed and cost we still recommend the default `bu-*` models. </details>

<details> <summary><b>Should I use the Browser Use system prompt with the open-source preview model?</b></summary>

Yes. If you use `ChatBrowserUse(model='browser-use/bu-30b-a3b-preview')` with a normal `Agent(...)`, Browser Use still sends its default agent system prompt for you.

You do **not** need to add a separate custom "Browser Use system message" just because you switched to the open-source preview model. Only use `extend_system_message` or `override_system_message` when you intentionally want to customize the default behavior for your task.

If you want the best default speed/accuracy, we still recommend the newer hosted `bu-*` models. If you want the open-source preview model, the setup stays the same apart from the `model=` value. </details>

<details> <summary><b>Can I use custom tools with the agent?</b></summary>

Yes! You can add custom tools to extend the agent's capabilities:

```python from browser_use import Tools

tools = Tools()

@tools.action(description='Description of what this tool does.') def custom_tool(param: str) -> str: return f"Result: {param}"

agent = Agent( task="Your task", llm=llm, browser=browser, tools=tools, ) ```

</details>

Yes! Browser-Use is open source and free to use. You only need to choose an LLM provider (like OpenAI, Google, ChatBrowserUse, or run local models with Ollama). </details>

<details> <summary><b>Terms of Service</b></summary>

This open-source library is licensed under the MIT License. For Browser Use services & data policy, see our [Terms of Service](https://browser-use.com/legal/terms-of-service) and [Privacy Policy](https://browser-use.com/privacy/). </details>

<details> <summary><b>How do I handle authentication?</b></summary>

Check out our authentication examples: - [Using real browser profiles](https://github.com/browser-use/browser-use/blob/main/examples/browser/real_browser.py) - Reuse your existing Chrome profile with saved logins - If you want to use temporary accounts with inbox, choose AgentMail - To sync your auth profile with a remote browser, install `profile-use` for your platform from the [official releases](https://github.com/browser-use/profile-use-releases/releases/latest), then follow the [profile sync guide](https://github.com/browser-use/browser-harness/blob/main/interaction-skills/profile-sync.md).

These examples show how to maintain sessions and handle authentication seamlessly. </details>

<details> <summary><b>How do I solve CAPTCHAs?</b></summary>

For CAPTCHA handling, you need better browser fingerprinting and proxies. Use [Browser Use Cloud](https://cloud.browser-use.com?utm_source=github&utm_medium=readme-faq-captcha) which provides stealth browsers designed to avoid detection and CAPTCHA challenges. </details>

<details> <summary><b>How do I go into production?</b></summary>

Chrome can consume a lot of memory, and running many agents in parallel can be tricky to manage.

For production use cases, use our [Browser Use Cloud API](https://cloud.browser-use.com?utm_source=github&utm_medium=readme-faq-production) which handles: - Scalable browser infrastructure - Memory management - Proxy rotation - Stealth browser fingerprinting - High-performance parallel execution </details>

<br/>

## Citation

If you use Browser Use in your research or project, please cite:

```bibtex @software{browser_use2024, author = {Müller, Magnus and Žunič, Gregor}, title = {Browser Use: Enable AI to control your browser}, year = {2024}, publisher = {GitHub}, url = {https://github.com/browser-use/browser-use} } ```

<br/>

**Tell your computer what to do, and it gets it done.**

[![Twitter Follow](https://img.shields.io/twitter/follow/Magnus?style=social)](https://x.com/intent/user?screen_name=mamagnus00) &emsp;&emsp;&emsp; [![Twitter Follow](https://img.shields.io/twitter/follow/Gregor?style=social)](https://x.com/intent/user?screen_name=gregpr07)

</div>

<div align="center"> Made with ❤️ in Zurich and San Francisco </div>

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