Project Motivation

This educational project uses web scraping to extract and analyze sneaker listings from Amazon.sg, focusing on brand, price, rating, and sponsorship data. It provides hands-on experience with dynamic content extraction and reveals patterns like top brands, common price ranges, and high customer ratings.

Section 1: Environment Setup

• Create a new conda environment called "coupang-test" and activate it

Section 2: Install Required Packages

• Perform a "pip install -r requirements.txt" to install all of the project's dependencies

Section 3: Run the Webscraping Application

• In the project directory, open the terminal and run this command "python3 webscrape_amazon.py"

Section 4: Executing the Analysis Script

• In the project directory, open the terminal and run this command "python3 -m notebook"
• Open the "ETL & EDA.ipynb" file
• In part 1 of the script, update the name of the file for read_csv to the .csv file generated from Section 3
• Go to the script's top menu, select 'Kernel' and click on 'Restart Kernel and Run All Cells..."