Movies Data Scraping and Analysis
Júlio Silva
Web_Scraping_Project
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.
Key Highlights
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.
Dataset Features
Descriptive: Title, Genre(s), Release Date, Runtime
Audience: Certification (age rating), User Score
Financial: Budget, Revenue
Tools & Libraries
Python · Pandas · BeautifulSoup · Requests · Seaborn · Matplotlib
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Posted Jul 18, 2025
This project scrapes top-rated movie data from The Movie Database (TMDB) and compiles it into a structured dataset (CSV/Excel format).
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