Overview:

One of the biggest problems sellers on Amazon face is FAKE NEGATIVE REVIEWS. There is no direct way to tackle this issue unless you have definitive proof of competitors leaving Fake Negative Reviews on your products. To tackle this, we devised a strategy of scraping reviews from reviewer’s profiles and came up with an analytical approach to prove that those profiles were created for these specific reasons.

Description:

The strategy was that first scrape all the reviews from the target products and those similar to the target products, and then go into each of the reviewer’s profiles, and scrape all the reviews they have ever done, including the rating given, among other metrics. This was then used by our client to prove which reviewers are fake users spamming products with negative ratings. The mentioned screenshot showcase some amount of data, we scraped for the client.