Python AsyncIO for Web Scraping: 10x Faster Data Collection

Why AsyncIO Changes Everything Traditional synchronous scraping wastes 90% of its time waiting for HTTP responses. While one request waits, your CPU sits idle. AsyncIO lets you fire hundreds of requests concurrently, turning a 10-minute scrape into a 60-second one. Let's build an async scraper that is 10x faster than the synchronous version. Synchronous vs Async: The Numbers # Synchronous: 100 pages = 100 * 2 seconds = 200 seconds import requests import time urls = [ f " https://example.com/page/ { i } " for i in range ( 100 )] start = time . time () for url in urls : resp = requests . get ( url ) # Blocks here for ~2 seconds print ( f " Sync: { time . time () - start : . 1 f } s " ) # ~200 seconds # Async: 100 pages = ~4 seconds (50 concurrent) import aiohttp import asyncio import time async def fetch_all ( urls , concurrency = 50 ): semaphore = asyncio . Semaphore ( concurrency ) async def fetch_one ( session , url ): async with semaphore : async with session . get ( url ) as resp :