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This article mainly introduces "how to learn data crawler in Python crawler". In daily operation, I believe that many people have doubts about how to learn data crawler in Python crawler. Xiaobian consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful to answer the doubt of "how to learn data crawler in Python crawler". Next, please follow the editor to study!

In the current environment, the important support of big data and artificial intelligence is huge data and analysis collection, similar to Taobao JD.com Baidu Tencent level enterprises can obtain the needed data through a considerable number of users. However, ordinary enterprises may not have the ability and conditions to obtain data through products. Using crawlers, we can solve some of the data problems.

1: learn the basics of Python and implement the basic crawler process

Generally, the process of obtaining data is implemented according to the three processes of sending requests, getting page feedback, parsing and storing data. This process is actually a simulation of a manual process of browsing the web.

There are many crawler-related packages in Python: urllib, requests, bs4, scrapy, pyspider and so on. We can connect the website and return the web page according to requests, and Xpath is used to parse the web page to facilitate data extraction.

2: understand the storage of unstructured data.

The data structure crawled by crawlers is complex. Traditional structured databases may not be particularly suitable for us to use. We recommend using MongoDB in the previous stage.

3: master some common anti-crawler skills.

The anti-crawler strategy of most websites can be solved by using proxy IP pool, packet capture, OCR processing of CAPTCHA and other processing methods.

4: learn about distributed storage

Distributed this thing, sounds very scary, but in fact is the use of multi-threading principle to make multiple crawlers work at the same time, you need to master Scrapy + MongoDB + Redis these three tools on it.

At this point, the study of "how to learn data crawler in Python crawler" 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!

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