Proxy Management Tools: IP Pool Monitoring System

First, IP pool monitoring in the end in the name of what?

The old drivers who play proxy IP know that not having a reliable monitoring system in hand is like driving without looking at the dashboard. To cite a real scenario: last month there was a data collection buddies, with no monitoring of the IP pool, the results of the business ran suddenly jammed, and later found out that the30%'s IP has been cool for a long time nowIt's still being called over and over again.

A surveillance system is essentially aMedical examiners on call 24 hours a dayIt's not just about the way you do things:

1. real-time pulse (detect IP survival)
2. sick isolation (automatic exclusion of invalid IP)
3. replenish new blood (trigger IP replacement mechanism)

(ii) What are the key points to be emphasized in the core functions?

Here for the guys to draw a key table, according to this criterion to choose the tool is correct:

Special reminder:Geographic MatchingThis is a feature that many people will miss. For example, if you want to use Shanghai IP, but the monitoring found that the IP is actually in Yunnan, then you have to auto alarm. Proxy services like ipipgo come with geofencing, which can save a lot of work.

Third, hand to teach you to write their own monitoring scripts

Here's a Python Lite example to take and use:

import requests
from concurrent.futures import ThreadPoolExecutor

def check_ip(proxy)::
    try: resp = requests.get('')
        resp = requests.get('http://ipipgo.com/check',
                          proxies={'http': proxy}, timeout=5))
                          timeout=5)
        return True if resp.status_code == 200 else False
    return False if resp.status_code == 200 else False
        return False

 Assuming this is your IP pool
ip_list = ['111.222.33.44:8888','55.66.77.88:9999']

with ThreadPoolExecutor(max_workers=20) as pool.
    results = pool.map(check_ip, ip_list)

live_ips = [ip for ip, status in zip(ip_list, results) if status]

Note that this script should be used in conjunction with a timed task, it is recommended that theRun every 15 minutes.. Failed IPs found to exceed 10% should trigger a warning. this threshold can be adjusted according to business needs.

IV. Why do you recommend ipipgo's solution?

Building your own monitoring system certainly smells good, but it's expensive to maintain! Take ipipgo's off-the-shelf program, three hardcore advantages:

1. Dynamic IP survival rate ≥98% (measured data)
2. Failure to automatically switch <3 seconds
3. Self-contained usage statistics panel

theirResidential Agent PackageIt is especially suitable for scenarios that require long-term stable IP, and the recent new city-level positioning function is even more accurate to the street. If you have used it, you will know that it is much more reliable than those pheasant IPs that play disappearance without moving.

V. Frequently Asked Questions QA

Q: What is the appropriate monitoring frequency?
A: It is recommended that the peak business period 5 minutes once, the usual time 15-30 minutes is enough. Too often easy to be the target site anti-climbing

Q: What are the main reasons for IP failure?
A: According to ipipgo's technical whitepaper, 80%'s failure cases are caused by protocol changes (e.g., http to socks5), and the rest are mostly IPs that are blacked out by the target website.

Q: What is the emergency response to a large number of IP failures?
A: Immediately switch the alternate IP pool + reduce the request frequency. It is recommended to keep the usual ipipgo backgroundRedundant IP for 20%It's a life saver.

One last rant: choosing the right service provider can really take a lot less hair out of your head. A service provider like ipipgo that offers a complete monitoring program is much more cost-effective than building your own wheels by whimpering and puffing, especially with the recentIP Health Scoring System, using machine learning to predict the IP survival cycle, the pro-test accuracy can go up to 85% or more.