Proxy ip pool: ten million proxy ip pool management system construction

Why do proxy IP pools need to be in the tens of millions?

As a chestnut, you take dozens of proxy IP to engage in data collection, like a leaky spoon to scoop soup - simply can not pocket. The website anti-crawler is now very fine, the same IP continuous access immediately blocked. Tens of millions of IP pools are like a large toolbox, each work randomly take a new tool, guaranteed that the site can not see the pattern.

Here's a pitfall to watch out for:Not the more IPs the betterYou've got to be careful.Effective IP Survival Rate. Some service providers claim millions of IP, the results of a large part of the dumb cannon. Recently helped a friend measured a certain family, take 1000 IP to visit a certain East, can be used on the beginning of 200, this quality even if there are a billion IP is useless.

How do you build a system architecture without collapsing the house?

I've seen too many people make the architecture fancy, and in the end, O&M is tired as a dog. Let's talk about a real solution:

Acquisition Module → Verification Module → Storage Module → Scheduling Module
      ↘ Monitor Alarm ↘ Log Statistics

verification moduleMake a hard effort, don't be stupid and just use http status code to judge. It is recommended to add three layers of validation:

1. Basic connectivity (response within 3 seconds)
2. Anonymity testing (transparent/anonymous/highly anonymous)
3. Simulation of business scenarios (actual visits to target websites)

Choosing a proxy service provider is like picking a watermelon

This is a must.ipipgoHis family has a specialty--TK LineIt's a good idea. The last time I helped a customer do cross-border e-commerce data collection, with ordinary agents 10 minutes on the cool, change the TK line after two days of continuous running are fine. Specifically how to choose to see this table:

His API docking is particularly smooth, with python code examples:

import requests

def get_proxy(): api_url =
    api_url = "https://api.ipipgo.com/getproxy?key=你的密钥"
    res = requests.get(api_url).json()
    return f"{res['protocol']}://{res['ip']}:{res['port']}"

Routine maintenance of the tart operation

It's a contemporary digital joke to have seen someone take Excel and manage an IP pool. A few practical tips:

1. thermal separation: Put the high-frequency IPs in Redis and throw the rest in MySQL.
2. IP RotationDon't use them in order. Get a weighted randomization algorithm.
3. automatic elimination: 3 consecutive verification failures directly kicked out of the pool
4. Geographical movement: Select the nearest IP according to the location of the target web server.

One customer used this approach and IP utilization soared from 30% to 78%, cutting maintenance costs in half.

QA time

Q: What should I do if my proxy IP always fails?
A: First check the verification policy, it is recommended to press the timeout to within 3 seconds. If it does not work, directly change ipipgo's static residential IP, expensive is expensive but stable as the old dog.

Q: How can I quickly measure agent quality?
A: Don't be silly and write scripts, use the ipipgo client in theOne-Click DiagnosticsFunctions that can simultaneously measure latency, anonymity, and protocol support.

Q: How do I choose a package with a limited budget?
A: Start with dynamic residential (standard), $7.67/GB is enough. After the volume of business up to find customer service to corporate discounts, large volumes can talk about 50% off.

A final rant: the agent pool is not as big as it is, the key to seeEffective IP volume x flow efficiency. Instead of tossing in maintenance yourself, you could just go to a professional player like ipipgo and save enough time to develop new features.