Here is the code for my phd Chapter one in University of East Anglia. There are three main segments. -- Scrapy the data from Amazon, and then clean it. -- We use the selenium to simulate the chorme to store the data into Sqlite database. By this way, we can convert the sales ranking into sales quantity data. -- We use the Keepa.com API key to collect the data form Amazon. The raw data is daily data. Then we convert them into quarterly data by using our data. -- Then we write the demand estimation regression and the merger simulation based on the theory in our paper. In the checking of the validity IVS part, it a coorporate work with Carlos Vega(UEA PhD candidate)