I scraped product data from three eBay stores selling tires: Simple Tire, Disount Tire, and Priority Tire. Each store had 10 pages of products to scrape, and each page had ~20 different products to scrape. Since there were over 500 products to scrape, I used made the script run asyncronously using Python's Asyncio library to speed up both the HTTP requests as well as the parsing of the HTML. I extracted the MPN (Manufacturer Part Number), UPC (Universal Product Code), Price, and which eBay store the product was listed on for each of the products. Once I had collected all of the data, I used the Pandas library in Python to aggreagate the data into a single location and eventually save it to the excel file.