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How to Scrape Amazon.com Reviews using Python? We search for lots of things on the internet every day in order to buy something, to compare one product to another, how do we decide that one particular product is better than the other? – We directly hit onto the reviews and see how much stars/ positive feedback has been given to the product, right!! In this blog, we’re going to  scrape reviews from amazon.com . Not only just review but also how many stars it got, who posted the review, etc. We will be saving data in an excel spreadsheet (CSV). Here are detailed data-fields that we are going to extract: 1. Review Title 2. Rating 3. Reviewer Name 4. Review Description/Review of Content 5. Helpful Count So let’s get started. We prefer Scrapy – a python framework for a large-scale web scraping. Along with that, some other packages will be required in order to scrape Amazon reviews. Requests – to send the request of a URL pandas – to export CSV by MySQL – to connect M

Scrape Data from Rental Car Booking App Travelers always organize their trips, they need rental cars, which can be agile, competitive, and accurate to maximize their revenue. Companies like X-Byte Enterprise Crawling offers Ola, Uber, Expedia, Car2Go, Turo car rental  apps scraping services  to help you lead in the race. About Car Rental Apps The car rental sector hasn’t reformed much in the past few decades. So, you may walk in for showing details, paying money, as well as leave with car keys, and even now, the procedure is the same. Though you may utilize apps to locate car rental locations and many companies have different apps that help in accelerating the process. Vacationers, as well as travelers, regularly rent the car. So, it’s good whenever you can just get this over quickly. Data Fields You Can Scrape from Car Rental Apps You can scrape different data fields from professional car rental app scraping: Pick Up & Drop Car Images Journey Type Car Ty