This article presents a practical Python web crawler that retrieves Douban movie data, offers ranking and keyword search, displays details via a Tkinter GUI, lists free streaming sources, and discusses configuration steps, features, known issues, and core code snippets.
This tutorial demonstrates how to use Python's requests and BeautifulSoup libraries to query IMDb for movie details such as title, director, cast, rating, and summary, illustrated with a sample lookup for the film Inception.
This tutorial walks you through collecting movie information from Maoyan using Python web‑scraping, storing the results in CSV, and then applying pandas, matplotlib, and WordCloud to analyze and visualize trends such as release years, genres, regions, durations, and ratings across China and the world.
This tutorial demonstrates how to use Python on Windows to crawl Maoyan movie rankings, extract details such as title, rating, genre, region, and duration, store them in a CSV file, and then perform comprehensive data cleaning, analysis, and visualization with pandas, matplotlib, and WordCloud.
