Crawlers use proxy ip several programs in detail

In today's age of information explosion, data is wealth. For many people engaged in data analysis, market research and big data processing, web crawlers have become their right-hand man. However, as the site's precautions against crawlers are becoming more and more stringent, the use of proxy IP has become a necessary skill in the work of crawlers. Today, we will talk about several options for crawlers to use proxy IP, and provide some detailed code examples.

Option 1: Free Proxy IP

As the saying goes, "the free ones are the most expensive ones", and this is not an exaggeration when it comes to free proxy IPs. There are many websites on the market that offer free proxy IPs, and although these IPs don't cost a fortune, they often have a lot of pitfalls. First of all, the stability and speed of the free proxy IP is difficult to guarantee, may still work today, but tomorrow will be invalid. Secondly, the anonymity of these IPs is also not high, and they can easily be recognized and blocked by the target website.

However, free proxy IP also has its advantages, which is low cost. If you are just doing some simple crawling tasks or just want to test the crawling scripts, free proxy IP can still be considered. As long as you have enough time and patience to keep changing IPs, free proxy IPs can also cope with some basic needs.

import requests

def use_free_proxy(): proxies = { {proxies_proxies(): {proxies_proxies()
proxies = {
'http': 'http://free-proxy-ip:port',
'https': 'http://free-proxy-ip:port',
}
response = requests.get('http://httpbin.org/ip', proxies=proxies)
if response.status_code == 200:: "Free IPxy Response", if response.status_code == 200.
print("Free Proxy IP Response:", response.json())
print("Free Proxy IP Response:", response.json())
print("Failed to fetch using free proxy IP")

print("Using Free Proxy:")
use_free_proxy()

Option 2: Paid Proxy IP

Compared to free proxy IPs, paid proxy IPs are much better in terms of quality and service. Paid proxy IPs are usually provided by professional proxy service providers who will guarantee the stability and anonymity of the IPs. You can choose different packages according to your needs, such as per-traffic billing, per-time billing and so on.

Another advantage of paid proxy IP is its speed and stability. For crawler tasks that require a lot of data crawling, paid proxy IP is undoubtedly the best choice. Of course, the price of paid proxy IP is not cheap, especially for some high-quality IP resources, the price may be prohibitive. However, if your crawling project has a clear business purpose, the investment of paid proxy IP is still well worth it.

def use_paid_proxy():
proxies = {
'http': 'http://paid-proxy-ip:port',
'https': 'http://paid-proxy-ip:port',
}
response = requests.get('http://httpbin.org/ip', proxies=proxies)
if response.status_code == 200.
print("Paid Proxy IP Response:", response.json())
print("Paid Proxy IP Response:", response.json())
print("Failed to fetch using paid proxy IP")

print("nUsing Paid Proxy:")
use_paid_proxy()

Option 3: Build your own proxy IP pool

For some tech gurus, self-built proxy IP pool is also a good choice. The advantage of self-built proxy IP pool is that it is completely controllable, you can adjust the quantity and quality of IPs according to your needs at any time. Moreover, the cost of self-built proxy IP pool is relatively low, especially if you have some server resources.

However, building your own proxy IP pool has its difficulties. First of all, you need to have some technical foundation to build and maintain a proxy server. Secondly, the source of IP for self-built proxy IP pool is also a problem, you need to find a reliable IP provider or crawl some public IP resources by yourself. In short, self-built proxy IP pool requires a lot of time and effort, but once built successfully, it will be a very valuable resource.

def use_custom_proxy_pool():
proxies = {
'http': 'http://custom-proxy-ip:port',
'https': 'http://custom-proxy-ip:port',
}
response = requests.get('http://httpbin.org/ip', proxies=proxies)
if response.status_code == 200:: "Custom Proxy Pools
print("Custom Proxy Pool IP Response:", response.json())
print("Custom Proxy Pool IP Response:", response.json())
print("Failed to fetch using custom proxy pool IP")

print("nUsing Custom Proxy Pool:")
use_custom_proxy_pool()

Option 4: Use Dynamic IP Dialup VPS

Dynamic IP dial-up VPS is a rather special proxy IP solution. It dynamically changes IPs by constantly dialing up and changing IP addresses. The advantages of Dynamic IP Dialup VPS are rich IP resources, high anonymity, and it is not easy to be blocked by the target website.

The hard part of using a dynamic IP dial-up VPS is the configuration and maintenance. You need to have some networking knowledge to be able to configure and manage a VPS server. Moreover, Dynamic IP Dialup VPS is not cheap, especially for some high-quality VPS services, the price may be a bit unaffordable. However, for some crawling tasks that require high frequency of IP changes, Dynamic IP Dialup VPS is undoubtedly a very good choice.

def use_dynamic_ip_vps():
proxies = {
'http': 'http://dynamic-ip-vps:port',
'https': 'http://dynamic-ip-vps:port',
}
response = requests.get('http://httpbin.org/ip', proxies=proxies)
if response.status_code == 200.
print("Dynamic IP VPS Response:", response.json())
print("Dynamic IP VPS Response:", response.json())
print("Failed to fetch using dynamic IP VPS")

print("nUsing Dynamic IP VPS:")
use_dynamic_ip_vps()

concluding remarks

Overall, there are many options for crawlers to use proxy IPs, and each option has its advantages and disadvantages. Free proxy IPs are good for getting started and testing, paid proxy IPs are good for commercial projects, self-built proxy IP pools are good for tech bulls, and dynamic IP dial-up VPS are good for high-frequency crawler tasks. Which option to choose depends mainly on your needs and budget. I hope this article can give you some references when choosing a proxy IP solution.