This article will introduce in detail an example of Python obtaining popular comments on NetEase Cloud Music. It has a very good reference value. Let’s take a look at it with the editor. Recently, I have been studying content related to text mining. The so-called clever woman can’t make a meal without rice. If you want to carry out text analysis, you must first get the text. There are many ways to obtain text, such as downloading ready-made text documents from the Internet, or obtaining data through APIs provided by third parties. But sometimes the data we want cannot be obtained directly because there is no direct download channel or API for us to obtain the data. So what should we do at this time? A better way is to use a web crawler, which is to write a computer program to pretend to be a user to obtain the desired data. Taking advantage of the efficiency of computers, we can obtain data easily and quickly. So how to write a crawler? There are many languages that can be used to write crawlers, such as Java, php, python, etc. I personally prefer to use python. Because Python not only has built-in powerful network libraries, but also has many excellent third-party libraries. Others have directly built the wheel, and we can just use it. This brings great convenience to writing crawlers. No exaggeration
1. Share a Python method to crawl popular comments on NetEase Cloud Music
##Introduction: This article will introduce in detail an example of Python obtaining popular comments on NetEase Cloud Music. It has a very good reference value. Let’s take a look at it with the editor.
2. Teach you how to use python to crawl the w3shcool course and save it to the local code example
Introduction: This article mainly introduces the method analysis of python crawling the JQuery course of w3shcool and saving it locally. Has very good reference value. Let’s take a look at it with the editor
3. IP automatic proxy example in python crawling technology
Introduction: I recently planned to crawl online soft exam questions for the exam, and encountered some problems during the crawling. The following article mainly introduces the use of python crawling The information related to the IP automatic proxy of the soft exam question is introduced in great detail in the article. Friends who need it can take a look below.
4. Python crawls Baidu beauty pictures
5.
Detailed explanation of the IP automatic proxy method using python to crawl soft exam questions
##Introduction: I recently planned to crawl soft exam questions on the Internet for the exam, and encountered some problems during the crawling. The following article mainly introduces the use of Python to crawl the IP automatic proxy of soft exam questions. The relevant information is introduced in great detail in the article. Friends who need it can take a look below.
6.
Detailed explanation of the Python method of crawling Sogou images from web pages##Introduction: I didn’t expect python to be so powerful and fascinating. I used to copy and paste pictures one by one when I saw them. Now it’s better. If you learn python, you can use the program to save the pictures one by one. . The following article mainly introduces you to the relevant information on using Python3.6 to crawl images from Sogou picture web pages. Friends in need can refer to it.
7. How to crawl music URLs in qq music with Python and download them in batches
##Introduction: This article mainly introduces you to the use of Python to crawl music URLs in qq music and achieve batch downloading. The article gives a detailed introduction and sample code. I believe it will be useful to everyone. For reference value, friends in need can take a look below.
8. Python method of crawling WeChat articles
9.
Python crawls available proxy IP
##Introduction: We usually use Python crawler Sometimes, IP proxy is used. There are many free proxy IP websites on the Internet, but not all IPs can be used, so this article teaches you how to crawl available proxy IPs.
10.
Python crawls JD product categories and links ##Introduction: This article mainly introduces the use of python to crawl JD.com product categories and corresponding connections. This function is not very complicated and there is no hidden things inside. It can be regarded as an example tutorial for novices. Those who need it can refer to it.
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The above is the detailed content of 10 recommended articles about python crawling. For more information, please follow other related articles on the PHP Chinese website!

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