It has been a long time since I last wrote a crawler article. I wrote a 20-line Python code to crawl the skins of all heroes of Honor of Kings , and the response was strong. Many students wanted me to write another article to crawl the skins of the official League of Legends website, but due to the many things, I kept putting it off. , has been delayed until now, so in this article we will learn how to crawl all hero skins in League of Legends.
Crawling the code is very simple. You may only need to write about 30 lines from top to bottom to complete, but the important thing is the analysis process. Before that, let’s first understand what is needed in this article. module.
requests module introduction
The first is the requests module, which is a module that simulates browser requests. We can use it to obtain information on the web page, such as Baidu:
Run result: Through the get function, you can send a request to the URL with specified parameters. The response object obtained encapsulates a lot of response information, among which text is the response content. It is noted that there are garbled characters in the obtained content. This is caused by inconsistent encoding and decoding. You only need to obtain the binary data first and then re-decode it:
The Python data can be converted into a json string through the
dumps function. The running result is:
<class>
{"name": "zhangsan", "age": "20"}</class>
Copy after login
Preparation workThe two modules were introduced earlier. Through these two module we can complete this program.
Before officially starting to write code, we first need to analyze the data source, go to the official website: https://lol.qq.com/main.shtml, scroll down to find the hero list:
We click on a hero at random to check:
Right-click on the skin picture to check: In this way, we find the url of this skin. Let’s select the second skin and take a look. Its URL:
Let’s take a look at all the URLs for Annie’s skins:
What patterns can be found from these URLs? In fact, the pattern is very obvious. The content in front of the URL is the same. The only difference is
big1000.jpg, and each skin picture adds 1 to the URL.
So the question is, how does it distinguish the hero to which this picture belongs? We observe the address at the top of the browser:
There is an attribute value id on the address, so we can guess whether big1000.jpg in the skin picture URL is made by What is the combination of hero ID and skin ID?
To prove our conjecture, we must see if other hero skins also meet this condition:
Open Jhin’s details page, its ID is 202, Therefore, the last part of Jhin's skin picture URL should be: big ' 202 ' skin number.jpg, so its URL should be:
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We click on a hero at random to check: 
Right-click on the skin picture to check: 
In this way, we find the url of this skin. Let’s select the second skin and take a look. Its URL: 
Let’s take a look at all the URLs for Annie’s skins: 
There is an attribute value id on the address, so we can guess whether 
Open Jhin’s details page, its ID is 202, Therefore, the last part of Jhin's skin picture URL should be: 
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