Proxy IP Parsing Data Types: Proxy Data Format Parsing Guide

What does the proxy data format really look like?

Proxy IP partners must have seen these strange format: 192.168.1.1:8080, http://user:pass@ip:port, socks5://ip:port ... In fact, these are common forms of expression of proxy data. Just as there are different templates for courier sheets, different software requires different proxy formats.

As a chestnut, some crawler programs like to use thePure IP + Portformat, such as 114.114.114.114:8888. and the proxy that needs to be authenticated would have to be written asUsername:Password@IP:Port, as if you had to swipe your card to enter the neighborhood. Here's a pitfall to be aware of - if there's a special symbol in the password (like @ or ), remember to escape it with a percent sign, or the program will recognize the wrong door number.

 Python示例：带认证的代理设置
import requests
proxy = "http://user123:pass%40123@114.114.114.114:8888"
response = requests.get("http://example.com", proxies={'http': proxy})

Common Data Formats Explained

There are three main proxy data formats on the market, let's use the analogy of a courier package:

In ipipgo's API interface, the default spit out of theProtocol://account:password@IP:portThis all-purpose format. It's like a Swiss army knife, adapted to various usage scenarios. If your program only recognizes one part of it, you can disassemble it with the great string interception method.

Format Conversion Tips

Don't panic when you encounter format incompatibility, here to teach you a few tricks to dry out:

Situation one:Got the data in json format, but it needs to be converted to a text list. With Python, 5 lines of code will do the trick:

import json
data = json.load(open('proxies.json'))
with open('proxies.txt','w') as f: for item in data: with open('proxies.json')
    for item in data.
        f.write(f"{item['ip']}:{item['port']}")

Situation two:A list of proxies stripped from a web page with extra characters. This is where regular expressions are your razor:

import re
dirty_text = "Valid proxies: 114.114.114.114:8888 (available)"
clean = re.findall(r'd+.d+.d+.d+:d+', dirty_text)
 Output ['114.114.114.114:8888']

QA First Aid Kit

Q: What should I do if my proxy IP suddenly fails?
A: This situation is like a lost takeout boy that you called. It is recommended to use ipipgo'sDynamic Residential AgentsTheir IP pool is automatically updated every hour, with a technical guy keeping an eye on it 24/7, and the drop rate is 40% lower than that of their peers.

Q: How do I choose the type of agent?
A: For general data captureDynamic residential (standard)If you are doing cross-border e-commerce and other demanding business, you can go directly to theEnterprise Edition Dynamic ResidentialThe IP purity is much higher. For businesses that require fixed IPs (such as overseas social media operations), choose theStatic Home PackageThe

Q: Can one agent be used for multiple devices?
A: Depends on the specific package. ipipgo's Enterprise Edition supportsmulti-device concurrency, the regular version is recommended for single device use. Their backend can check the usage in real time to avoid the account being squeezed offline.

Why do you recommend ipipgo?

After using seven or eight proxy service providers, I ended up using ipipgo for a long time for three main reasons:

1. protocol support all over the world, whether it is HTTP or Socks5 can be plug-and-play
2. Flexible extraction methods, API directly spit data, but also under their clients point and click on the mouse to connect the
3. Customer service is a real live person, the last time at 3:00 a.m. test interface problems, actually seconds back to the work order!

Especially theirTK line agentThe friends who are doing cross-border e-commerce use it and say that the delay has been reduced by half. Price personally feel quite real, especially the dynamic residential standard version, more than 7 yuan 1G flow enough to crawl a few days. Newcomers are advised to buy a day package to try the water, anyway, just a breakfast money.