Web Scraping
Web scraping involves using bots to extract content and data from websites, which can be invaluable for companies in obtaining product data, setting pricing strategies, and more. It is an automatic method to gather large amounts of data from the web, with applications ranging from optimizing pricing strategies to preparing data sets for machine learning models. This guide covers the fundamentals of web scraping, its importance, use cases, workflow, and examples to help you understand and leverage this powerful technique.
Uploaded on Feb 23, 2025 | 0 Views
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Presentation Transcript
Web Scraping by Mihir Zala 1
Web Scraping What is Web Scraping ? Need of Web Scraping. Use of Web Scraping. Workflow and Libraries used. Demo (Scrape a Website) Rules of Web Scraping 2
What is Web Scraping ? Web scraping is the process of using bots to extract content and data from a website. Unlike screen scraping, which only copies pixels displayed onscreen, web scraping extracts underlying HTML code and, with it, data stored in a database It is a technique to fetch data and information from websites. Everything you see on a webpage can be scraped. 3
Need of Web Scraping. Web scraping is an automatic method to obtain large amounts of data from websites Web Scraping can be used by companies to scrap the product data for their products and competing products. How it impacts their pricing strategies? 4
Use of Web Scraping Companies can use this data to fix the optimal pricing for their products so that they can obtain maximum revenue. Preparing dataset for your ML model. Web scraping news sites can provide detailed reports on the current news to a company. Companies can also use Web scraping for email marketing. 5
Workflow and Libraries Send Request and Load the webpage. (Requests, urllib, httplib) Parse the content for desired data. (Beautiful Soup, re) 6
Lets Scrape some data (www.careerbuilder.com) Ref http://www.careerbuilder.com/ 7
Snippets 8