ReviewGators Blogs

  Scraping Hotel Reviews from Different Travel Portals as well as Review Sites Extracting hotel reviews from different travel websites has become a normal practice amongst hospitality businesses that want to level up the game using advanced analytics. No matter if this is a domestic traveling portal or a well-known review website, you could monitor or track customers’ success stories very easily. Hotel reviews given by the guests on traveling websites are a wonderful source for neutral customer experiences that could be analyzed to have actionable insights. For instance, if you are any luxury hotel chain and want to understand the customers better, then you can easily scrape hotel reviews from traveling websites to go about that. This is also a very good idea to scrape hotels’ competitor reviews as it will assist you in identifying their strengths and weaknesses that might boost your marketing strategy. Whereas there’s no shortage of hotel reviews on different online traveling sites, t

  Scraping Product Reviews Data Extracting product reviews data from e-commerce websites has become amongst the most important competitive intelligence actions in as well as around an e-commerce space. Scraping e-commerce product reviews is a wonderful source of neutral reviews organically given by real consumers. It means that as a manufacturer if you want to collect deeper insights about the products, you should search for e-commerce product reviews pages. Whereas the accessibility of product reviews on different e-commerce websites is huge and deep, not all companies have the infrastructure, resources, and expertise of crawling and scraping reviews from e-commerce websites in an automatic manner. Fortunately, Reviewgators specializes in big-scale web data scraping solutions as well as can assist you in extracting e-commerce product reviews from different e-commerce portals. Our well-managed web scraping services come with end-to-end crawler management that might insulate from the sh

We have searched for many things on the internet. All the information is quickly accessible but could not be saved very easily so that we can utilize it later for all other objectives. One way is copying data manually as well as saving that on the desktop. Although, it consumes a lot of time. Web scraping could be useful in these cases. What is Web Scraping? Web scraping is the method utilized to scrape a huge amount of data from different websites as well as the store that in the computer. The data could be later utilized for analysis. Here, we will exhibit to you how to extract reviews of any particular product from Amazon using Python. The initial step is checking if a website helps in scraping data or not. It could be checked by adding robots.txt after a website link given here. https://www.amazon.in/robots.txt The URL could be split into five parts like protocol, path, domain, query-string, as well as a fragment. However, we would be concentrating largely on 3 parts like domain, p