/Webscraping_Movies

This repository showcases a webscraping project using Python

Primary LanguagePythonISC LicenseISC

Scenario Consider that you have been hired by a Multiplex management organization to extract the information of the top 25 movies with the best average rating from the web link shared below. URL: https://web.archive.org/web/20230902185655/https://en.everybodywiki.com/100_Most_Highly-Ranked_Films The information required is Rotten Tomatoes' Top 100, Film, and Year. You are required to write a Python script webscraping_movies.py that extracts the information and saves it to a CSV file top_25_films.csv. You are also required to save the same information to a database Movies.db under the table name Top_25.