Modern Web Scraping with Python
Harness the power of Scrapy, BeautifulSoup and Selenium to boost your webscraping game!
Created by Jordan Sauchuk, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team | 3 hours on-demand video course
Getting access to the data you need can make or break you. This is why Fortune 500 companies like Walmart, CNN, Target, and HSBC use web scraping to get ahead and stay ahead with data. It’s the original growth tool and one of their best-kept secrets. From data spoofing to legalities, crawling libraries, maintenance, monitoring, more, building a safe and effective web scraper is risky business but it’s a skill every data scientist needs in their toolkit. Welcome to Modern Web Scraping in Python. At the end of this course, you will understand the most important components of web scraping and be able to build your own web scrapers to obtain new data, optimize internal processes and more.
What you’ll learn
- Understand the most important components for web scraping
- Build their own web scraping projects
- Learn core components of two of the most powerful scraping libraries: Scrapy and BeautifulSoup
- Build multiple hands-on projects
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