Review Maker: A Proposed Web Scraping Tool for Predicting Health Score of Company

Abstract

The issue of today’s technological world is that there are various websites for the same product. Customers find it difficult to choose between those websites and sometimes they even get wrong reviews too. In and around the e-commerce industry, scraping product reviews from e-commerce websites has become one of the most important competitive intelligence operations.In the private sector, web scraping: the extraction of patterned data from web pages on the internet, was invented for achieving corporate goals.But it has significant advantages to people looking for company health score ratings. In this paper, a scraping review application: Review maker has been proposed and implemented using MERN (MongoDB, Express, React, Node).Then the sentimental analysis is done over the collected tweets having the company’s tag. The proposed applicationis based on an asynchronous function. That works together to collect the review from different sites and tweets from Twitter to create a generalized health score. Prediction is based on the information provided by the user and the dataset is based on the factors that are responsible for the health condition of the company