Proxy IP training AI datasets: proxy collection of AI training data

The central role of proxy IP in AI training data collection

The biggest headache of AI model training is that the data is not real and comprehensive enough. Take the e-commerce price monitoring, the same commodity in different regions of the display price may be different 30%, without proxy IP capture can only get local data. At this timeDynamic Residential IPLike a chameleon, it automatically switches geographic location with each request and captures price information that restores the true market conditions.

A friend who does social opinion analysis complained to me that they used fixed IP to capture data, but the target website was recognized on the third day, and not only the IP was blocked but also the access frequency was restricted. Later, they switched toipipgo's rotating proxy program, spreading the requests across a pool of IPs in over 200 countries and collecting them for two weeks straight without triggering the windshield.

import requests
proxies = {
    'http': 'http://username:password@gateway.ipipgo.com:端口',
    'https': 'http://username:password@gateway.ipipgo.com:端口'
}
response = requests.get('destination URL', proxies=proxies, timeout=10)

What are the hard indicators to look for when choosing a proxy IP

There are a plethora of agency service providers on the market, but AI data collection is about three hard conditions:

1. Survival time: Doing image capture should be able to sustain at least a 30-minute session
2. Geographical location: Country-specific export IPs are required for training multilingual models
3. Protocol support: protocols like socks5 are significantly faster than http in processing video streaming data

Previously tested a proxy, boasted millions of IP pools, the actual availability of the results less than 40%. later changed to use ipipgo'sTK LineIt not only supports socks5 protocol, but also can specify the IP of the mobile base station, and the success rate when collecting live data is directly pulled to 92%.

A guide to avoiding pitfalls in the real world

Many newbies tend to step into these three potholes:

1. Concurrency overrun: Single IP to open 50 threads will be blocked, it is recommended to control in 5 threads / IP!
2. request header exposure: Remember to change User-Agent randomly, don't let the server see the pattern
3. CAPTCHA trap

Don't be tough when it comes to CAPTCHA, three solutions are tested and effective:
① SwitchingStatic Residential IPReduced trigger probability
② Set the acquisition interval to fluctuate randomly from 8 to 15 seconds.
③ With ipipgoCloud Server ProxyFixed IP whitelisting

API_URL = "https://api.ipipgo.com/serp"
params = {
    "q": "artificialintelligence",
    "geo": "US",
    "device": "mobile"
}