How can I improve web scraping performance using Python 3.10 and asyncio?

How can I improve web scraping performance using Python 3.10 and asyncio?

You can enhance web scraping performance by using asyncio for concurrent requests, which allows you to handle multiple tasks simultaneously.

Can you provide a code example of using asyncio for web scraping?

Sure! Here's a simple example:

import asyncio
import aiohttp

async def fetch(url):
    async with aiohttp.ClientSession() as session:
        async with session.get(url) as response:
            return await response.text()

async def main(urls):
    tasks = [fetch(url) for url in urls]
    return await asyncio.gather(*tasks)

urls = ['http://example.com', 'http://example.org']
results = asyncio.run(main(urls))

What are the benefits of using aiohttp over requests?

Aiohttp is designed for asynchronous programming, allowing for non-blocking I/O operations, which can significantly speed up web scraping tasks compared to the synchronous requests library.

Are there any limitations I should be aware of when using asyncio?

Yes, some limitations include complexity in error handling and the need for compatible libraries. Not all libraries support asyncio, so ensure you're using async-compatible ones.