For this project, we’ll scrape data from IMDb’s “Top 1,000” movies, specifically the top 50 movies on this page. Here is the information we’ll gather from each movie listing:

• The title
• The year it was released
• How long the movie is
• IMDb’s rating of the movie
• The Metascore of the movie
• How many votes the movie got

• BeautifulSoup
• Pandas
• Numpy

Below is the code you can add to the bottom of your program to save your data to a CSV file: movies.to_csv('movies.csv')

In order for this code to run successfully, you’ll need to create an empty file and name it whatever you want — making sure it has the .csv extension. I named mine movies.csv, as you can see above, but feel free to name it whatever you like. Just make sure to change the code above to match it.

• Scrape other data about each movie — e.g., genre, director, starring, or the summary of the movie
• Find a different website to scrape that interests you
• Grab the movie data for all 1,000 movies on that list