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playwrightvsbrowser-use

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Playwright is a Node.js library that provides a high-level API to automate web browsers. It allows you to automate browser tasks such as generating screenshots, creating PDFs, and testing web pages by simulating user interactions. Playwright is similar to Puppeteer, but it supports more browsers and it also provide capabilities for automation of browser like Microsoft Edge and Safari.

Playwright is commonly used for web scraping, end-to-end testing, and browser automation.
Playwright is a spiritual successor to Puppeter and is available in more languages and has access to more browser types.

Browser-use is a Python library that enables AI agents to control web browsers using natural language instructions. It connects large language models (LLMs) to browser automation, allowing you to describe what you want done in plain English instead of writing explicit selectors and interaction code.

Key features include:

  • Natural language browser control Describe tasks like "go to Amazon and find the cheapest laptop under $500" and the AI agent will navigate, interact with elements, and extract the requested information.
  • Multi-step task execution Can handle complex workflows that require multiple pages, form filling, clicking, scrolling, and waiting for dynamic content.
  • Vision support Uses screenshot analysis (multimodal LLMs) to understand page layout and find elements visually, not just through DOM inspection.
  • Multiple LLM providers Works with OpenAI, Anthropic Claude, Google Gemini, and other LLM providers.
  • Playwright backend Uses Playwright under the hood for reliable browser automation across Chrome, Firefox, and Safari.
  • Structured output Can return extracted data in structured formats defined by Pydantic models.

Browser-use represents a new paradigm in web scraping where instead of writing brittle selectors, you describe the extraction task and let the AI figure out how to navigate and extract the data. This is especially useful for scraping diverse sites with varying layouts.

Highlights


ai-powerednatural-languageasync

Example Use


```javascript const { chromium } = require('playwright'); (async () => { const browser = await chromium.launch(); const context = await browser.newContext(); const page = await context.newPage(); await page.goto('https://www.example.com/form'); // fill in the form await page.fill('input[name="name"]', 'John Doe'); await page.fill('input[name="email"]', 'johndoe@example.com'); await page.selectOption('select[name="country"]', 'US'); // submit the form await page.click('button[type="submit"]'); // wait for the page to load after the form is submitted await page.waitForNavigation(); // take a screenshot await page.screenshot({path: 'form-submission.png'}); await browser.close(); })(); ```
```python from browser_use import Agent from langchain_openai import ChatOpenAI import asyncio async def main(): # Create an AI agent with a language model agent = Agent( task="Go to reddit.com/r/webscraping, find the top 5 posts " "from today, and extract their titles and scores", llm=ChatOpenAI(model="gpt-4o"), ) # Run the agent - it navigates and extracts automatically result = await agent.run() print(result) # More complex multi-step task agent = Agent( task="Go to example.com/login, log in with user@test.com " "and password 'test123', then navigate to the dashboard " "and extract all notification messages", llm=ChatOpenAI(model="gpt-4o"), ) result = await agent.run() print(result) asyncio.run(main()) ```

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