How to Use a Self-Built IP Proxy Pool and Various Usage Methods

Published Time: 14/12/2023

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Reading time : 5 min read

When engaging in web scraping activities, using a suitable IP proxy pool can bring many benefits. An IP proxy pool is a collection of numerous IP proxies that helps us perform web scraping requests anonymously and stably.

This article will introduce how to use a self-built IP proxy pool, providing detailed steps and code demonstrations, including common needs in web scraping such as periodically changing proxies, automatically handling IP blocking, and filtering proxies from specific regions.

By mastering these techniques, you can enhance the efficiency and reliability of your web scraping activities.

Benefits of Using a Self-Built IP Proxy Pool in Web Scraping

There are several advantages to using a self-built IP proxy pool:

Anonymity and Anti-Blocking

An IP proxy pool can hide the real IP address, providing anonymity and helping overcome website blocking of specific IPs, ensuring the continuity and stability of web scraping tasks.

High Availability and Stability

Utilizing a large-scale IP proxy pool can prevent issues with individual proxies being unavailable, improving the success rate and stability of requests.

Region Selection and Customization

A self-built IP proxy pool allows filtering proxies from specific regions, meeting customized requirements for different web scraping tasks.

Steps and Code Demonstrations for Calling a Self-Built IP Proxy Pool in Web Scraping

Step 1: Import Required Libraries and Modules

pythonCopy codeimport random

import requests

Step 2: Define the Self-Built IP Proxy Pool

pythonCopy codedef get_proxy_pool():

proxy_pool = [

'proxy1.example.com:8080',

'proxy2.example.com:8080',

'proxy3.example.com:8080',

# Add more proxy addresses

]

return proxy_pool

Step 3: Randomly Select a Proxy in Web Scraping Requests

pythonCopy codedef make_request_with_proxy(url):

proxy_pool = get_proxy_pool()

proxy = random.choice(proxy_pool)

try:

response = requests.get(url, proxies={'http': proxy, 'https': proxy})

if response.status_code == 200:

# Process response data

pass

except requests.exceptions.RequestException:

# Handle request exception

pass

With the above code, we define a make_request_with_proxy function that randomly selects a proxy from the self-built IP proxy pool and applies it to the web scraping request.

This way, each request will use a different proxy, increasing anonymity and anti-blocking capabilities.

Implementation of Automatic Proxy Rotation, Handling IP Blocking, and Filtering Proxies from Specific Regions.

Automatic Proxy Rotation

To change the proxy every 10 minutes, we can use a scheduling library like schedule to periodically call the function to update the proxy pool.

pythonCopy codeimport schedule

import time

def update_proxy_pool():

# Update the proxy pool code

pass

schedule.every(10).minutes.do(update_proxy_pool)

while True:

schedule.run_pending()

time.sleep(1)

The above code calls the update_proxy_pool function every 10 minutes. You can implement the logic to fetch the latest proxies and update the proxy pool in this function.

Handling IP Blocking

If the current IP address is blocked, we can automatically change the proxy when an exception occurs during a request.

pythonCopy codedef make_request_with_proxy(url):

proxy_pool = get_proxy_pool()

proxy = random.choice(proxy_pool)

try:

response = requests.get(url, proxies={'http': proxy, 'https': proxy})

if response.status_code == 200:

# Process response data

pass

except requests.exceptions.RequestException:

# Handle request exception

proxy_pool.remove(proxy)

make_request_with_proxy(url) # Retry with a new proxy

The above code removes the current proxy from the proxy pool when a request exception occurs and recursively calls make_request_with_proxy to try using a new proxy.

Filtering Proxies from Specific Regions

pythonCopy codedef get_proxy_pool(region):

# Get proxies from a specific region

proxy_pool = [

'proxy1.example.com:8080',

'proxy2.example.com:8080',

'proxy3.example.com:8080',

# Add more proxy addresses

]

filtered_proxy_pool = [proxy for proxy in proxy_pool if get_proxy_region(proxy) == region]

return filtered_proxy_pool

The above code filters proxies based on their region, ensuring that only proxies from a specific region are added to the proxy pool.

In conclusion, using a self-built IP proxy pool in web scraping can bring many benefits, including anonymity, anti-blocking capabilities, high availability, and customization.

By following the steps and code demonstrations provided, you can easily call a self-built IP proxy pool and implement features such as automatic proxy rotation, handling IP blocking, and filtering proxies from specific regions. These techniques will enhance the efficiency and reliability of your web scraping tasks, helping you successfully collect data from various sources.

I hope this article is helpful in understanding and using a self-built IP proxy pool. By applying these techniques wisely, you can better address IP proxy issues in web scraping tasks, improving the success rate and quality of data collection.

Note: "922 S5 Proxy" is mentioned as a SOCKS5 proxy provider serving the big data collection field.

How to Use a Self-Built IP Proxy Pool and Various Usage Methods

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