Reverse Engineering NetEase Cloud Music API to Scrape Comments and Perform Sentiment Analysis

The tutorial begins by identifying the NetEase Cloud Music PC URL and inspecting the network requests to locate the comment API endpoint, which requires two dynamic encrypted parameters: params and encSecKey .

It then walks through reverse‑engineering the JavaScript code that generates these parameters, explaining the role of functions a , b , c , and d , and how a random 16‑character key is created and used with AES encryption via CryptoJS.

After reconstructing the missing CryptoJS functions, the article shows how to execute the JavaScript in Python using execjs to obtain the encrypted params and encSecKey values, which are then sent in a POST request to the comment API.

Python code is provided to perform the request, handle cookies and headers, and parse the JSON response to extract user comments, saving them to a text file.

Subsequently, the guide introduces sentiment analysis with the SnowNLP library, demonstrating how to compute sentiment scores for individual comments and aggregate them.

Finally, it presents a word‑cloud generation script using jieba for Chinese tokenization and WordCloud for visualization, followed by a histogram of sentiment scores to illustrate the overall emotional distribution of the song’s comments.