Shulou(Shulou.com)06/02 Report--

This article mainly introduces "what problems should be paid attention to in building a reptile ip proxy pool". In the daily operation, I believe that many people have doubts about what they need to pay attention to in building a reptile ip proxy pool. The editor consulted all kinds of materials and sorted out simple and easy-to-use methods of operation. I hope it will be helpful for everyone to answer the doubts about "what problems should be paid attention to in building a reptile ip proxy pool". Next, please follow the editor to study!

1. Question

Where does the proxy IP come from?

Just self-taught crawler when there is no agent IP to the West thorn, fast agents and other sites with free agents to climb, there are still individual agents can be used. Of course, if you have a better proxy interface, you can access it yourself.

The collection of free agents is also very simple, which is nothing more than: visit the page-> regular / xpath extraction-> save

How to ensure the quality of agency?

You can be sure that most of the free agent IP is not available, otherwise why others also provide paid (but the fact is that many agents' paid IP is also unstable, and many are not available). So the collected agent IP can not be used directly, you can write the detection program to constantly use these agents to visit a stable website to see if it can be used normally. This process can be multithreaded or asynchronous because detecting agents is a slow process.

How to store the collected agents?

Here we have to recommend a high-performance NoSQL database SSDB that supports multiple data structures for proxy Redis. Support queue, hash, set, KMuv pairs, support T-level data. It is a good intermediate storage tool for distributed crawlers.

How to make it easier for crawlers to use these proxies?

The answer must be to make a service. Python has so many web frameworks, just take any one to write an api for crawlers to call. This has many advantages, such as: when the crawler finds that the agent cannot be used, it can actively delete the IP through api, and when the crawler finds that the proxy pool IP is not enough, it can actively go to the refresh proxy pool. This is more reliable than the testing program.

2. Agent pool design

The agent pool consists of four parts:

ProxyGetter:

Agent acquisition interface. Currently, there are five free proxy sources. Each call will grab the latest agents of these five websites and put them into DB. You can add additional proxy acquisition interfaces by yourself.

DB:

It is used to store the proxy IP. Currently, only SSDB is supported. As for why you choose SSDB, you can refer to this article. Personally, I think SSDB is a good alternative to Redis. If you haven't used SSDB, it's easy to install. You can refer to it here.

Schedule:

Scheduled task users regularly check the availability of agents in DB and delete unavailable agents. At the same time, it will also take the initiative to get the latest agent and put it into DB through ProxyGetter.

ProxyApi:

The external interface of the proxy pool, because the function of the proxy pool is relatively simple now, I spent two hours looking at Flask, and happily decided to use Flask to fix it. The function is to provide get/delete/refresh and other interfaces to the reptile, which is convenient for the reptile to use directly.

At this point, the study on "what problems you need to pay attention to in building a crawler ip proxy pool" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.