This project scrapes top-rated movie data from The Movie Database (TMDB) and compiles it into a structured dataset (CSV/Excel format). The main goal is to collect the data in a reproducible format. After the data is scraped, a light analysis is conducted to demonstrate how features such as genre, certification, and duration relate to a movie's financial performance.

Scraping multiple pages from TMDB's "Top-Rated Movies" section using BeautifulSoup.

Extracted details: Title, Certification, Release Date, Genre(s), Runtime, Score, Budget, Revenue.

Dataset exported to CSV/Excel for reuse in other tools or dashboards.

Optional analysis included

Lightweight and easy to modify for scraping additional attributes or pages.

Descriptive: Title, Genre(s), Release Date, Runtime

Audience: Certification (age rating), User Score

Financial: Budget, Revenue

Python · Pandas · BeautifulSoup · Requests · Seaborn · Matplotlib