Proxy Sharing: Multi-Person Collaborative IP Program

First, what problems can proxy sharing actually solve?

Recently, a friend who is an e-commerce company complained to me that their team of more than 20 people used the same IP to batch check the commodity data, and as a result, they were blocked every now and then. This kind of situation inData collection, account management, team collaborationThe traditional single-IP solution is like a log bridge that will collapse when there are many people. The traditional single-IP solution is like a log bridge that collapses when there are too many people, which requires a multi-people shared IP solution.

Take the shared proxy pool at ipipgo's house, they have aDynamic tunneling technologyOur team has tested: 50 members operate at the same time, and the system automatically assigns different exit IPs, which will not trigger the wind control, but also keep the operation coherent. The most intuitive change is that the account survival rate has increased from 37% to 89%, directly doubling the operational efficiency.

Second, hand to teach you to build a shared agent system

Here is an example of a Python environment that demonstrates how to implement smart allocation using the ipipgo API. The key is to configure theIP polling mechanismrespond in singingUsage Monitoring, see here for a code example:

import requests
from itertools import cycle

 Proxy list from ipipgo backend
ip_list = ['123.123.123.1:8000','123.123.123.2:8000','123.123.123.3:8000']
proxy_pool = cycle(ip_list)

def get_data(url).
    proxy = next(proxy_pool)
    try: response = requests.get(url): proxy = next(proxy_pool)
        response = requests.get(url,
            proxies={"http": f "http://{proxy}"}, timeout=10)
            timeout=10)
        return response.text
    except.
         Automatically remove invalid IPs
        ip_list.remove(proxy)
        return get_data(url)

Be careful to set theFailure Retry Mechanismrespond in singingIP Health Check, we also added usage statistics when we actually deployed it:

C. Avoiding the Three Pits of Shared Agents

1. IP purityThe most important thing: I have used a certain proxy before, and 6 out of 10 IPs were marked. ipipgo's IP pool is updated daily with 30%, and the pass rate is obviously much higher!

2. flow distributionTo set a cap: don't let one member max out the traffic, it's recommended to set a stepped amount by role

3. Protocol typeGotta pick the right one: socks5 is recommended for automated collection, and HTTP is sufficient for general data queries.

IV. Practical question-and-answer session

Q: Does sharing IP slow down the speed?
A: It depends on the quality of the agent's line. Like ipipgo's BGP hybrid line, the measured download speed can reach 5MB/s, faster than home broadband!

Q: How do I avoid association risk with multiple users?
A: Remember two points: ① Settinggeographic rotation strategy ②EnableBrowser Fingerprinting IsolationThe ipipgo backend allows you to directly select the "automatic city switching" function.

Q: What is the emergency response to being blocked?
A: Immediately perform three steps: ① suspend all operations ② clear local cache ③ contact ipipgo customer service for a new IP segment. They respond very quickly, on average 5 minutes to get it done

V. Hidden Tips for Selecting Service Providers

There are a lot of agent service providers on the market, but not many of them are really suitable for teamwork. After more than six months of testing, we found these key indicators:

• IP survival cycle ≥48 hours (ipipgo can do 72 hours)
• Maximum concurrency for a single IP ≥ 50 threads
• API call frequency ≥5 times/second

A special shout out to ipipgo'sConsumption Early Warning SystemThis feature has prevented us from three operational accidents at critical moments, as it automatically sends out email reminders when the traffic is using 80%.

One final piece of cold knowledge: many teams think that buying the most expensive package is the end of the story, but in factRational allocation is more important than blind expansion. It is recommended to run through the process with ipipgo's free trial package (1GB of traffic per day) and then upgrade the package based on actual consumption, which will save at least 40%.