Tracking Reviews and Scraping the Web. Gaining Understanding from Business Records

Abstract

There are a lot of uses for web scraping. To get more out of web pages, you may utilize it in conjunction with APIs. As an
example, there is a lot of commercial data out there, but it may not be relevant in its current form on websites. Our proposal in
this paper is to analyze the reviews and derive valuable insights from the data using web scraping techniques (specifically, BeautifulSoup and Selenium, two popular libraries) and other Python libraries and techniques (vaderSentiment, Sentiment Intensity Analyzer, nltk, n consecutive words). We constructed a web scraper to extract prices and track their fluctuations. In addition,
the evaluations are culled and examined to find pertinent comments, including consumer concerns.