Modern Web Scraping Fundamentals with Python
Modern Web Scraping Fundamentals with Python, 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. I’m an AI & Cybersecurity Engineer and a SuperDataScience instructor. I’m here to guide you step-by-step in building custom web scrapers in Python using Selenium, Scrapy and BeautifulSoup. 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.Plus, familiarize yourself with some of the most common scraping techniques and sharpen your Python programming skills while you’re at it! We’l bel coding in Python, and using the automated testing suite Selenium, the Python framework Scrapy, and library BeautifulSoup to build web scrapers that can be customized to your specific needs.

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What You'll Master in this Course
Course Curriculum40 Lectures
5 sections • 10.3 hours total length
Requirements
- Internet Connection
- Windows, Linux or Mac OS along with Anaconda and Spyder
Description
Instructor
Senior Industry Specialist
Specialist in Software Engineering & Algorithms
Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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