![]() But Tom is foreign to coding, so he’d rather choose a no-code scraper like Parsehub or Octoparse.įor large-scale projects & enterprises that scrape often, there are also data collection services provided by companies like #Zyte. If Tom knew how to code, he’d probably just use a web scraping framework like Scrapy, Selenium, or web scraping libraries like Beautiful Soup, Puppeteer, or many others. Usually, it’s done automatically, using web scraping software or custom-built scripts. Web scraping is the process of collecting data from the web. Instead of copy-pasting each product’s title, price, and ratings for a whole day, he gives a web scraping shot. That’s way too much data to copy manually, but Tom doesn’t give up so fast. So, he goes on Amazon, searches for “kitchen table” …. One of the best places to collect data for such an analysis is Amazon. Once in a while, he needs to do some competitor analysis. Let’s imagine that Tom has an e-commerce business, where he sells furniture. Businesses collect data from Amazon for many purposes, such as monitoring prices, creating a product comparison page, or doing keyword research. Do you go and copy everything you need into an excel sheet by hand? If you need large amounts of data, it’s probably not the smartest move. ![]()
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