Async Web Scraping in Python: httpx + asyncio for 10x Faster Data Collection

Async Web Scraping in Python: httpx + asyncio for 10x Faster Data Collection Synchronous scraping makes requests one at a time. While you wait for one response, you're doing nothing. Async scraping makes 10-50 requests simultaneously — same time, 10-50x the output. Here's how to actually implement it, with real benchmarks. Why Async? The Numbers Scraping 100 pages, each taking 1 second to respond: Synchronous: 100 × 1s = 100 seconds Async (10x): 10 × 1s = 10 seconds (10 concurrent) Async (50x): 2 × 1s = 2 seconds (50 concurrent) The catch: servers rate-limit you if you go too fast. The sweet spot is usually 5-20 concurrent requests. Setup pip install httpx aiohttp asyncio We'll use httpx — it supports both sync and async, has HTTP/2, and works well with curl_cffi for anti-bot when needed. Basic Async Scraper import asyncio import httpx from bs4 import BeautifulSoup from typing import List, Dict async def fetch_page(client: httpx.AsyncClient, url: str) -> dict: """Fetch a single page