austin-a-i / safercars_ncap_webscraping

Web-Scraping using BeautifulSoup in Python for creating a dataframe to retrieve the Safest Cars rating from Latin NCAP website for the year 2020-2023 and before 2020.

_NCAP_SafestCars_webScraping

Web-Scraping using BeautifulSoup lib in Python for creating a dataframe to retrieve the Safest Cars rating in Latin NCAP website for the year 2020-2023 and before 2020.

1. Importing request library to extract site and parsing in HTML format using Beautiful Soup lib
2. Extracting text(with tags) for each of the columns(brand,vehicle-model,date,adult-safety,child-safety,star rating,safety measures) using selection (html)tags
3. Extracting the text from the selection tags before appending each to respective lists.
4. Creating a Dictionary key-value pair for adding multiple values to a unique key
5. Creating a dataframe from the dictionary and exporting the same as a csv file.

NOTE: Since the data from 2020-Present and before 2020 are represented in different formats(deletion of variables), two csv files are made with different variables.