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This project is based on scrapping the required details from the Rotten Tomatoes website and creating an excel workbook where the obtained details are saved

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PavithraVijaykumaar/Web-Scrapping-RottenTomatoes

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Web-Scrapping-RottenTomatoes

This project focusses on scrapping te necessary data from the Rotten-Tomato website and saving in into an excel workbook. Libraries used

  • Beautiful Soup
  • Openpyxl
  • Requests

Beautiful Soup - this library is used to acquire the entire HTML code from the website into the working environment Openpyxl - to integrate python and excel environment by which the details generated from python code is stored in excel Requests- for the process of sending HTTP requests and handling the corresponding responses

The details such as

  • Title of the movie
  • Year of release
  • Director of the movie are obtained from the website.

Using BeautifulSoup, the HTML code is brought from website into jupyter environment from where certain functions such as find() is used to locate and extract the text inside the tag. After obtaining the necessary informations, the collected data is stored into the excel workbook and is saved.

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This project is based on scrapping the required details from the Rotten Tomatoes website and creating an excel workbook where the obtained details are saved

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