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Showing posts with the label WebDataScraping

How to Extract Walmart Products Data Including Names, Details, Pricing, etc.

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For a lot of people, Walmart may appear more like a retail giant rather than an e-commerce business company. However, don’t get misled as Walmart is working very hard to race with Amazon in the contemporary e-commerce era. Also, they have provided a new offer for fighting against Amazon Prime shipping having one-day free shipping for orders more than $35. The online inventory of Walmart has developed massively in the past few years. So, there is ample value, which could be unlocked from getting access to the inventory data. How can you easily download information for different products from Walmart’s website into the spreadsheet? The answer is  Web scraping. Web Scraping and Walmart A web data scraper helps you to select any product categories from Walmart’s website as well as scrape the data from all these products in a more helpful format. Here, we are using a powerful Walmart data scraper from 3i Data Scraping. Then we will set that up to scrape product data from Walmart’s result pa

How to Extract Amazon Prices and Product Data with Python 3?

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How to Extract Amazon Prices and Product Data with Python 3? Extract Amazon Prices and Product Data with Python3 Web data scraping assists in automating web scraping from the websites. In this blog, we will create an Amazon data scraper for scraping product prices and details. We will create this easy web scraper using SelectorLib and Python and run that in the console. How to Scrape Amazon Product Data from Amazon Product Pages? Markup all data fields to be extracted using Selectorlib Then copy as well as run the given code Setting up your Computer for Amazon Scraping We will utilize Python 3 for the  Amazon Data Scraper . This code won’t run in case, you use Python 2.7. You require a computer having Python 3 as well as PIP installed. Follow the guide given to set up the computer as well as install packages in case, you are using Windows. Packages for Installing Amazon Data Scraping Python Requests for making requests as well as download HTML content from Amazon’s product pages Select

Top 5 Social Media Tool for Web Scraping | Best Scrape or Extract Social Media Tools

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 Top 5 Social Media Tool for Web Scraping Top 5 Social Media Tool for Web Scraping Social Media Scraper often refers to the entire automated web scraping tool that extracts all the data from social media channels. It does not include social networking sites such as Facebook, LinkedIn, Twitter, Instagram, etc. But they also include Wikis, Blogs, and News Channels. All the portals share data which is common they are all user-generated contents in the form of unstructured data that should be accessible for the web. So we all know what is social media scraper, here we will show how social media data you can use for business purpose. Below we will show you the Top 5 Social Media Data Scraping Tools. What can you do with Scraped Data from Social Media? Scraping Data from social media is undoubtedly the largest and the best datasets about human behavior. It brings all new social scientists and business expert brands with a better opportunity that can understand the entire individual, g

How OTT Media Platforms are Using Web Scraping Data?

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How OTT Media Platforms are Using Web Scraping Data? OTT Media Platforms are Using Web Scraping Data Platforms like Hotstar, Netflix, and Amazon Prime are using data every day to offer attractive content. Data is available all over the place and is mainly used by companies, which create video content for various audiences. By 2023, the OTT platforms would reach the market revenue of $42Bn with 351 MN subscribers around the world using current platforms Amazon Prime Video, Netflix, and more. Improved Lifetime Value of Every User People are always looking for cross-selling. For instance, Amazon provides prime membership together with Amazon Music as well as another special amazon with the Prime subscription. It helps increasing a user’s loyalty for the brand as well as keep them involved in the services for a long. Data Analytics assists in identifying the user’s trends as well as helps the business in showcasing cross-selling promotions to the associated user. Better User Experience The