How to choose the most reliable domestic IP? Look at these three key indicators Friends who have engaged in data collection understand that IP failure over three days is worse than disconnection. Selecting a domestic proxy IP is like looking for a partner, stable livestock (yes, that is the word "livestock", here intentionally written wrong) is the hard truth. Say a few real field...

The process agent in the end what is the use? Teach you to play recently a lot of buddies asked me, open a dozen crawler script always be blocked IP how to do? In fact, this matter with the game cut account a reason, each process alone with a different IP can be solved. The process agent is to let different programs go through different network channels, so ...

Real user pain points: why is your IP always recognized? Recently, a lot of old iron asked me, obviously changed the IP or by the platform click seal. This thing, just like you wear sunglasses to the bank to withdraw money - the monitoring probe has memorized your face shape and body shape. Now the website detection system is a thief, just change the IP is not enough, have to be all ...

Choosing a proxy IP is like finding a partner, the right one is the most important! There are a variety of brands on the market, each with their own strengths, and a bad choice directly affects the efficiency of your business. Today we put aside the fancy ads, direct comparison and analysis **ipipgo, Tianqi http, light cloud ** the three major strengths, to help you accurately match the needs! A ...

When the crawler meets Shopify: the problem of the agent can not be bypassed Doing e-commerce data capture know, Shopify store anti-climbing mechanism like an onion wrapped in layers. Last week there is a competitive analysis of buddies, just grabbed 300 product pages on the IP was blocked. this thing is not new, but the solution to the way...

When the AI model meets the proxy IP, this thing must be played this way Recently, some AI developers have approached me to complain, saying that their own trained models are always like a fool - recognizing pictures and recognizing huskies as wolves, and not being able to tell whether "okay" is positive or negative in semantic analysis. If you ask me, the data should take the blame. Today we...