What does crawler python do?

What does crawler python do?

The so-called crawler refers to obtaining data information that is useful to us in a given url (website), achieving a large amount of data acquisition through code, and obtaining relevant data after subsequent data sorting, calculation, etc. laws, and industry trends and other information.

If you observe carefully, it is not difficult to find that more and more people understand and learn crawlers. On the one hand, more and more data can be obtained from the Internet. On the other hand, programming like Python The language provides more and more excellent tools to make crawling simple and easy to use.

Using crawlers, we can obtain a large amount of valuable data, thereby obtaining information that cannot be obtained through perceptual knowledge, such as:

Zhihu: crawl high-quality answers and screen out the best answers on each topic for you. Quality content.

Taobao, JD.com: Capture products, comments and sales data, and analyze various products and user consumption scenarios.

Anjuke and Lianjia: capture real estate sales and rental information, analyze housing price trends, and conduct housing price analysis in different regions.

Lagou.com and Zhaopin: crawl various job information and analyze talent demand and salary levels in various industries.

Xueqiu.com: Capture the behavior of Snowball high-return users and analyze and predict the stock market.

Crawler is the best way to get started with Python, bar none. Python has many application directions, such as backend development, web development, scientific computing, etc., but crawlers are more friendly to beginners. The principle is simple. You can implement a basic crawler with just a few lines of code. The learning process is smoother. You can Experience a greater sense of accomplishment.

After mastering the basic crawlers, you will be more comfortable learning Python data analysis, web development and even machine learning. Because in this process, you will become very familiar with Python's basic syntax, the use of libraries, and how to find documentation.

Related recommendations: "Python Tutorial"

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