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WebScraper

This project was done to learn how a webscraper can be created from scratch.

Tools used : Selenium Webdriver, ChromeDriver, Beautiful Soup, pandas, numpy

IMDB + Rottentomatoes movie database scraper

Fetches -

  1. IMDB movies list by genre and returns an excel file with rows [movie name, year, rating, all labelled genres]
  2. Rotten tomates rating[tomatometer rating, audience score] of the same movie list

Goodreads quotes scraper

Fetches the following upon inputting choice number -

  1. Top Popular Quotes
  2. Top Recent Quotes
  3. Top Quotes by Tag
  4. Top Quotes by Pagination/Page numbers

USNews CS university names scraper

Fetches -

  1. [Name, rank, location, peer score] of CS universites based on rank

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