Cost Snipper – Predicting Prices of Online Shopping Items based on Preceding Data

Abstract

The variation of product prices in online shopping is high which makes it difficult to decide when to buy. The tremendous growth of e-commerce helps us to create the solution of price prediction. We used web scraping technique to get the price data from various online shopping retailers and process the data for each commodity to predict the price for the future which helps us to make decisions on buying online products. We automated the web scraping of data and price prediction daily to make the price available for the customer without any delay.