How to Scrape and Analyze Movie Reviews Using Python and Data Science Techniques

Learn how to collect and analyze movie reviews from the web using Python. This beginner-friendly tutorial covers the basics of web scraping, data cleaning, and simple trend analysis with real-world movie data. You will discover how to extract information from public websites, process the data, and visualize your findings with clear charts.

Follow step-by-step instructions to scrape movie titles, release years, and user ratings. Learn how to organize your data, handle common issues, and create visualizations to spot patterns in movie popularity over time. The lesson also highlights ethical considerations and encourages you to experiment with larger data sets for deeper analysis.

00:00 Introduction to movie review scraping
00:19 Why web scraping is useful
00:44 Overview of the scraping process
01:00 Setting up the Python environment
01:50 Scraping movie titles from IMDb
03:44 Verifying and exploring scraped data
04:39 Organizing data with pandas
05:49 Cleaning and deduplicating titles
07:11 Adding release year to the data
08:44 Converting and analyzing year data
09:40 Visualizing movie release decades
10:21 Grouping movies by decade
11:21 Scraping and adding IMDb ratings
12:50 Analyzing oldest and newest movies
13:56 Identifying top-rated titles
15:04 Exploring correlation between year and rating
16:38 Expanding your project and custom scraping
17:13 Making your project interactive
18:13 Ethical web scraping guidelines
18:36 Recap and next steps

#Python #WebScraping #DataScience