Making Fast Parallel Requests with Asyncio

Feb 3, 2024 ยท 1 min read

Asyncio is a powerful Python library for performing asynchronous I/O operations and running multiple tasks concurrently. It allows creating asynchronous code that executes out of order while waiting on long-running operations like network requests.

To make fast parallel requests with Asyncio:

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()

urls = ["https://www.website1.com", "https://www.website2.com"]

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

asyncio.run(main())

This concurrently fetches multiple URLs without blocking by using asyncio.gather to run fetch tasks in parallel. Asyncio handles running the tasks and waiting for the results efficiently. The key benefit is faster requests without extra threads or processes.

Let me know if you would like me to elaborate on any part of using Asyncio for parallel requests!

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