WEB data scraping
The essence of the project was to help automate the search for potential customers on Amazon.
To develop an automatic system for finding customers that would work consistently and have customizable search criteria.
First, we needed to compare multiple tables to one master table – find the same sellers there and update their information from the master table. Then we had to take the sellers from their master table, which are not in the small tables, and parse the information from Amazon for them. I used pandas for the tables and BeautifulSoup for the parsing.