Web scraping is the process of scraping websites and extracting desired data from them, and in this course, you will learn and master web scraping using Python and Scrapy with a step-by-step and in-depth guide.
The course starts with introducing you to the web scraping process (with infographics—no code); learn how to scrape data from websites and how to use Scrapy for this. After getting the basics clear, you will perform web scraping using Python and the Scrapy framework! After you have built an actual web scraper, you will get an idea of how web scraping works first-hand. You will then look at the essential concepts of web scraping and Scrapy. Learning how to scrape websites and the essentials already makes you a complete web scraper but you will take this even further and learn the advanced web scraping techniques to become an expert.
Advanced topics such as crawling multiple pages and extracting data—pagination, scraping data using Regular Expressions (RegEx), scraping dynamic or JavaScript-rendered websites using Scrapy Playwright—will be thoroughly explained. Finally, you will perform three projects at the end—Champions League Table [ESPN], Product Tracker [Amazon], and Scraper Application [GUI].
By the end of this course, you will have learned how to do web scraping using Python and Scrapy.
All the resource files are added to the GitHub repository at:
https://github.com/PacktPublishing/Web-Scraping-Tutorial-with-Scrapy-an…-
Send a request to a URL to scrape websites using Scrapy Spider
Get the HTML Response from the URL and parse it for web scraping
Use Scrapy shell commands to test and verify CSS Selectors or XPath
Export and save scraped data to online databases such as MongoDB
Scrape data from multiple web pages using Scrapy pagination
Login to websites using Scrapy FormRequest with CSRF tokens
A well-balanced course with theory and practical content followed by three projects at the end ensures you have the right skills to learn scraping.