A Python scraper was built to analyze the plots of today's top movies by pulling data from IMDb.
The script gathers plot summaries of the top 25 movies, creates word clouds to visualize common themes, and offers insights into popular genres.
Skills acquired include data cleaning with NLTK, web scraping using requests and BeautifulSoup, and data visualization with WordCloud and matplotlib.
The project also focused on handling website quirks, avoiding anti-bot measures, and being considerate by using time.sleep() to avoid overloading IMDb's servers.