Python reads URL files: Python proxy reads URLs

What to do when a crawler meets a counter-crawler? Try this life-saving trick

While helping a friend with data recently, I found a pretty interesting situation. He used Python to grab publicly available weather data, and the IP was blocked after running for less than half an hour. That's when it occurred to me thatproxy IPIsn't this thing designed to solve this kind of problem? Today we will talk about how to use Python with a proxy IP to securely read URL files.

What is a proxy IP? Simply put, it's a "stand-in."

To give a chestnut, your local IP is like an ID number, access to the site is like a real name punch card. With a proxy IP is like wearing a temporary mask, the website sees the address of the proxy server. Especially withipipgoWith this type of professional service, you can get thousands of these "stand-ins" and rotate them so that they won't be easily blocked.

Python Proxy Configuration in Three Steps

Let's start with some useful code, and then we'll break down the key points:

import requests

 Proxy information from ipipgo (remember to replace it with your own account)
proxy = {
    'http': 'http://用户名:密码@gateway.ipipgo.com:9020',
    'https': 'https://用户名:密码@gateway.ipipgo.com:9020'
}

try.
    response = requests.get('http://目标网址.com/data.json', proxies=proxy, timeout=10)
    print(response.text)
except Exception as e.
    print(f "Error: {str(e)}")

Pay special attention to three areas:

1. Don't misspell the proxy format, and connect the account password with a colon.
2. The http and https protocols should be configured separately.
3. The timeout is recommended to be set within 10 seconds

Special handling in file reading scenarios

If you want to download large files, remember to add a streaming transfer to avoid memory explosion:

with requests.get(url, proxies=proxy, stream=True) as r: with open('data.zip', 'wb') as f.
    with open('data.zip', 'wb') as f.
        for chunk in r.iter_content(1024): f.write(chunk): f.write(chunk): f.write(chunk).
            f.write(chunk)

QA time: the pitfalls you may have encountered

Why do you recommend ipipgo?

Having used five or six proxy providers.ipipgoThere are two particularly useful features:

• Dynamic session maintenance: automatically maintains IP sessions without frequent changes
• Protocol self-adaptation: automatically switch to encrypted channel when encountering https websites

The last time I helped a customer to do price comparison system, using his API batch proxy IP, the average daily request volume of 200,000 times can still run stably, it is indeed worry-free.

Advanced Tips: Automatically Changing IP Pools

In conjunction with ipipgo's API, smart switching is possible:

from itertools import cycle

 Get IP pool (pseudo code)
ip_list = get_ipipgo_ips(api_key='your key')

proxy_pool = cycle([
    {'http': f'http://{ip}'}
    for ip in ip_list
])

 Automatically switch every time a request is made
for url in url_list.
    current_proxy = next(proxy_pool)
    requests.get(url, proxies=current_proxy)

This solution is particularly suitable for data collection tasks that need to run for long periods of time, remembering to deal with possible abnormal retries.

Lastly, don't just look at the price when choosing a proxy service, like ipipgo with quality monitoring and automatic replacement mechanism, long-term use of the comprehensive cost is lower. Especially when doing commercial projects, stability is much more important than cheap.