Data Scraping and Analysis for E-commerce Website

Create a visual representation of the e-store's performance to make informed financial decisions.

To begin, I conducted a thorough analysis of the specific market niche in which the business operates, aiming to gain a comprehensive understanding of its dynamics. During this process, I identified that the business heavily relies on current trends. Subsequently, I devised two primary tasks to address this:

The first task involved gathering data on trending products from prominent online platforms such as Amazon and Shein. I utilized web scraping techniques to extract information on the popularity and sales volume of these products. The collected data was then organized and presented in an Excel file, prioritized based on their sales performance.

For the second task, I focused on extracting data directly from the e-commerce store. By employing web scraping techniques, I collected pertinent data from the store's website. To facilitate better decision-making, I transformed the extracted data into visual graphs and charts, allowing for easier interpretation and analysis.

By completing these tasks, I aimed to provide the business with valuable insights into the current market trends and the performance of their own e-commerce store. This information can serve as a foundation for making informed business decisions and strategizing effectively.