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This article introduces how to achieve Wechat official account crawler based on Python for data analysis, the content is very detailed, interested friends can refer to, hope to be helpful to you.

What's the use of learning reptiles?

Web crawler is a programming skill that pays great attention to practicality and strong practicality. It is not the exclusive skill of programmers. Anyone with a certain programming foundation can learn crawlers, write crawlers to analyze stock trends, climb Lianjia to analyze house price trends, climb Zhihu, climb Douban, climb Sina Weibo, climb film reviews, and so on.

In the era of artificial intelligence, the dependence on data is becoming more and more important. the main source of data is obtained through crawlers, which can be used for market research and data analysis as the original data of machine learning and data mining.

Crawler technology has a clear advanced growth path, from crawler to data analysis to data mining, and finally to artificial intelligence machine learning.

The Wechat official account crawler we are going to discuss today can provide an operating strategy for new media content.

Through crawler analysis, I found that I basically did not write any articles on the official account in the first 4 years, and it was not until 2016 that I began to have some content. The most written was in 2017, with a total of 139 articles.

In turn, we can see that the trend of reading volume has been gradually increasing in the past two years. Since the beginning of 2017, the minimum number of reading has increased from about 800 to 7000,000. Unfortunately, no article has been read more than 10, 000, and 100000 + has stopped.

Through the statistical analysis of reptiles, the top 5 articles are selected as follows:

Microsoft is considering Python as the official Excel scripting language 8229

How did Python become popular 8045

How to get started with Python 7726

Python crawler knowledge points combing 7641

Recommend several official accounts 7438

I found that none of my hard-written practical technical articles were in the top 5 (^ _ ^ ^ _ ^). This is the era of entertainment supremacy, and only a small number of people are really learning, so you should know why you can't get into the door for half a year.

In addition, more valuable information can be mined from the data, such as which period of time the amount of post reading will be high, what kind of title will affect the number of reading, and so on.

How to crawl Wechat official account articles?

Wechat is a closed platform, and the official account is not open to the public through a unified Web platform, so we can only find another way. Starting with Wechat client, if we want to get these data from Wechat, we need to analyze the data request by grabbing packets, using Fiddler, Charles and other proxy tools to grasp the construction principle of packet analysis request, and then use Requests and other network request modules to simulate Wechat to initiate a request to the server to obtain response data. After filtering and cleaning, the data can be analyzed by Pandas, and then the data can be visually displayed.

The above is a basic idea of using Python to climb Wechat official account, in which there must be a lot of implementation details. You don't know which holes are there until you really try it. Digging holes and filling holes is the only way for a programmer.

On how to achieve based on Python Wechat official account crawler data analysis is shared here, I hope the above content can be of some help to you, can learn more knowledge. If you think the article is good, you can share it for more people to see.

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