Parsing Data Meaning: A Guide to Field Interpretation and Cleaning

First, what does proxy IP data look like? First understand these key fields

New to the proxy IP white see data table may be confused, in fact, the core fields are these:IP address, port number, protocol type, anonymity level, survival timeThe following is an example. For example, the string of characters "202.96.128.86:8080|HTTP|High Stash|3 hours" is broken down into the following: the IP and port before the colon, the protocol type separated by a vertical line, and the last two are the degree of anonymity and expiration date.

There's a pitfall to watch out for here - many platforms will take theresponse timeIt's labeled as 200ms, but in reality it's stuck like a dog. Why? Because the test server may be in the next room! The real useful data has to be seen跨地区，比如用ipipgo的检测节点分布在全国，测出来的才靠谱。

Second, data cleaning four steps waste IP seconds into baby

The first step firstde-emphasizeDon't think that IP:port combinations won't be duplicated. We have tested and encountered a platform 20% duplicate data, with Excel delete weight can clear out the garbage.

second steptest sb. for life or deathThe recommended use of ipipgo's bulk detection interface, three seconds to measure 500 IP. a tip: send three consecutive requests, two successful ones are considered to be really alive, to prevent occasional jerking off.

The third step is the most overlooked -Protocol FilteringA real case: a crawler used a SOCKS5 proxy to access an HTTP site. To cite a real case: a crawler boy used the SOCKS5 proxy to access the HTTP site, the result is a crazy error report. So when cleaning to match the protocol type and the actual needs, mixed protocol pools should be labeled separately.

Lastly, remember.labeling，按分级：0-500ms标A级，500-1000ms标B级。ipipgo的后台自动分类功能贼好用，还能设置自定义阈值。

Third, the actual QA: these pits you must have encountered

Q：Why does the detection of available IP not work when I actually use it?
A: 80% encounteredThe timeliness trapThe first thing you need to do is to get your hands on a free proxy! Free proxies survive for less than 15 minutes on average. We recommend using ipipgo's dynamic proxy pool, which automatically switches between IP failures and also sets up heartbeat detection.

Q: Is a higher level of anonymity better?
A: Depends on the usage scenario! High stash proxy is suitable for sensitive operations, but expensive. Ordinary data collection with transparent agents is enough, like ipipgo's intelligent scheduling system will automatically select the type according to the business.

Q: What should I do if I encounter a large number of IPs failing at the same time?
A: Hurry up and checkQuality of IP sources! Quality providers will have a lapse compensation mechanism. The last time we tested ipipgo's business package, the continuous failure of 5 IP will automatically make up for 10, there is no need to manually keep an eye on.

Fourth, choose the right tools to save old energy recommended these tricks

Stop cleaning your data manually! Use ipipgo'sIntelligent Cleaning Panel, checking a few parameters will automatically filter them. In particular, theirgeolocation correctionFunction, can be falsely labeled IP pulled out, such as labeled Shanghai is actually Dongguan server room IP.

Advanced players can tryAPI LinkageIn addition, the cleaning rules are written as scripts and docked to their own business systems. Our team now uses ipipgo's RESTful API to automatically update the agent pool every hour, saving 70% in labor costs.

Lastly, don't use free proxies for cheap! Last time, a brother crawled the data, free proxies mixed into thehoneypot IPAs a result, the company's IP segment was blocked. Now we all use ipipgo's enterprise level service with legal compliance guarantee, which makes it a solid service to use.