jannetekka / ecommerce-analysis

Develop a dashboard that provides insights into user behavior and sales trends for an e-commerce website.

E-commerce Data Scraper and Analysis

This project is a web scraper for collecting e-commerce data from Amazon using Selenium and Python. It includes the following steps:

1. Web Scraping: Using Selenium to scrape product data from multiple pages.
2. Data Storage: Storing the scraped data in an SQL database (SQLite).
3. Data Analysis and Visualization: Retrieving data from the SQL database and performing EDA using pandas, matplotlib, and seaborn.

Project Structure

ecommerce-analysis/ │ ├── data/ # Directory for data storage │ ├── chromedriver-win64/ # Directory for the downloaded ChromeDriver │ ├── chromedriver.exe # ChromeDriver executable │ ├── LICENSE.chromedriver # License for ChromeDriver ├── ecommerce-analysis-venv/ # Virtual environment (not included in the repo) ├── .gitignore # Git ignore file ├── README.md # Project documentation ├── requirements.txt # Python dependencies └── web_scraper.py # Main web scraping script

License

MIT License