High-Throughput Async Scraping Pipeline
Leverage Python asyncio and httpx to collect thousands of web pages per minute with per-request residential IP rotation.
example.py
import asyncio
import httpx
PROXY_URL = "http://user-youraccount-rotate:password@proxy.bytesflows.com:31112"
async def fetch_target(client: httpx.AsyncClient, url: str):
try:
response = await client.get(url, timeout=10.0)
print(f"[{response.status_code}] Fetched {len(response.text)} bytes from {url}")
return response.text
except Exception as e:
print(f"Failed to scrape {url}: {e}")
async def run_batch_extraction(urls: list[str]):
async with httpx.AsyncClient(proxy=PROXY_URL, verify=False) as client:
tasks = [fetch_target(client, u) for u in urls]
return await asyncio.gather(*tasks)
if __name__ == "__main__":
target_list = ["https://httpbin.org/html"] * 20
asyncio.run(run_batch_extraction(target_list))