This article demonstrates how to combine Playwright web‑scraping of multiple Chinese movie platforms with the DeepSeek AI model to automatically collect data and generate a scientific prediction of the box‑office revenue for the film "Ne Zha 2".
Using Python's Selenium library, this tutorial demonstrates how to scrape real-time box office data from Maoyan's regular page, extract movie names, total and incremental earnings, process the data with pandas, export to Excel, and create visual analyses of top‑10 films' revenues and market shares.
This tutorial demonstrates how to scrape Maoyan movie comments for "The Battle at Lake Changjin", clean and store the data, perform comprehensive visual analyses such as likes, city, gender, watch status, rating, user level, and creator mentions, and finally predict next‑day box office using linear regression with sklearn.
The article analyzes the Chinese animated film Nezha’s box‑office performance, gathers historical ticket‑sale data from similar movies, applies polynomial curve fitting with NumPy and SciPy, scales the models, and predicts a final gross between 30 and 40 billion yuan, highlighting the methodology and code.
