Python中最快的代理迭代 [英] Fastest Proxy Iteration in Python

问题描述

假设我有一个包含10,000多个代理的列表

Let's say I have a list that contains 10,000+ proxies

proxy_list = ['ip:port','ip:port',.....10,000+ items]

我如何迭代它以获取适用于我的PC的代理?使用以下代码可以找到它，但是完成过程需要5 * 10,000秒.我将如何更快地遍历列表?

How do I iterate it to get the proxies that works for my pc? Using the following code it is possible to find it , but takes 5*10,000 seconds to get completed. How would I iterate through the list faster?

import requests
result=[]
for I in proxy_list:
    try:
        requests.get('http:\\www.httpbin.org\ip',proxies = {'https' : I, 'http' : I } ,timeout = 5)
        result.append(I)
    except:
        pass

推荐答案

您可以使用线程，这将允许程序一次检查多个代理.

You could use threading, this would allow the program to check multiple proxies at once.

import requests
import threading
import concurrent.futures

appendLock = threading.Lock() """This is to keep multiple threads from appending 
to the list at the same time"""

workers = 10 """This is the number of threads that will iterate through your proxy list.
In my experience, increasing this number higher than 30 causes problems."""

proxy_list = ['ip:port','ip:port',.....10,000+ items]

result = []

def proxyCheck(proxy):
    try:
        requests.get('http://www.httpbin.org/ip',proxies = {'https' : I, 'http' : I } ,timeout = 5)
        with appendLock:
            result.append(I)
    except:
        pass

with concurrent.futures.ThreadPoolExecutor(max_workers=workers) as executor:
    for proxy in proxy_list:
        executor.submit(proxyCheck(proxy))

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