Shulou(Shulou.com)06/03 Report--

This article mainly shows you "what is the reason why you rarely use Python to do a crawler", the content is easy to understand, clear, hope to help you solve your doubts, the following let the editor lead you to study and learn "what is the reason for rarely using Python to do a crawler".

Many people may have written about several crawlers when learning Python advanced, but in the end, fewer people do reptiles. What is the reason for this? Is it true that crawlers have no "technical content", or with the continuous improvement of anti-crawling, the cost of being a reptile is getting higher and higher and it is difficult to maintain the cost?

There are indeed many Python tutorials on the Internet, because if you only consider the crawler logic, the crawler logic is very simple, it is nothing more than constructing requests, sending requests, parsing responses, and obtaining data, which may be done in a few lines of code, because it is simple, and the data obtained is easy to display, so there are many simple crawler tutorials on the Internet, which, even if taught, only teach how to use Python to simulate requests and search DOM. At best, it can only be regarded as the basic problem of really being a reptile. In fact, as a crawler, the key question is never how to simulate the request.

Basic reptile

The basic crawler is very simple, ordinary developers can learn and be competent for simple crawler tasks in a very short time, and front and rear data analysis engineers can write crawlers from time to time. For complex crawlers, how to crawl and store large-scale data or how to bypass complex authentication can not be easily solved. It is necessary to be familiar with distributed architecture and use, underlying network protocols, front and rear architecture of various websites and data encryption methods, and even have the skills of network security attack and defense. The technical difficulty of large-scale data crawlers is multiplied. Where will the basic online tutorials teach this?

How to reverse parse data

A powerful reptile, involving the knowledge of many disciplines, is a great knowledge. To understand the HTTP protocol, know which protocol can help save bandwidth and time; to understand database knowledge, otherwise how to optimize and store data? You always have to know something about database distribution, otherwise how can crawlers cooperate? To learn algorithms, basic scheduling algorithms, crawler scheduling need to understand; to learn JavaScript, how to deal with the data, how to reverse parse the data, and so on.

In business, although there is a lot of demand for crawlers, there are not many full-time crawlers. For ordinary companies, no matter from which direction, data crawling is not the focus of work, if it is not entirely data-driven companies, the demand for data is not so great, and there is no need for a full-time post to write crawlers. Can only use Python to simulate the request, such a post is called a pseudo-post, even if you rely on writing reptiles to eat, generally speaking, you don't eat very well, and the best way out is to start classes to teach others to be reptiles.

The essence of a crawler is to download data.

But what matters is the data itself, not how to download it. Real, professional crawlers soak in the search engine's data center and read the cache directly.

These are all the contents of this article entitled "Why do you rarely use Python as a crawler?" Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!

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.