Web Scraping and Bot Development with Python
Web scraping and bot automation are core skills for data engineering, competitive intelligence, and workflow automation. This track teaches you to extract structured data from websites, navigate dynamic content, handle real-world anti-bot defenses, and deploy scrapers that run reliably at scale — all in Python. From reading static HTML to architecting distributed crawlers, you will build tools that are practical from the first lesson.
What You Will Learn
You will start with the fundamentals of HTTP and HTML parsing, then move into bot interactions, form submissions, and multi-step workflows. Core topics include data extraction and persistence, handling JavaScript-rendered pages and dynamic web content, managing scraping ethics and legality, rotating proxies, and bypassing anti-scraping measures. Advanced courses cover real-world bot deployment, scalable scraping architectures, and the ethical and legal landscape of automated data collection.
The Learning Path
Twelve courses span A1 through C1. The track opens with Introduction to Web Scraping Fundamentals and Basic HTML Parsing with Python, then builds through B1-level courses on Advanced Data Extraction Techniques, Data Storage and Persistence, and Advanced Bot Interactions & Workflows. The B2 stage addresses Handling Dynamic Web Content and Real-world Bot Development & Deployment. The track finishes at C1 with Bypassing Anti-Scraping Measures and Scalable Scraping Architectures.
How It Works
Each course is split into short, hands-on lessons you complete in the built-in code editor with real-time feedback. When you get stuck, an AI tutor explains the concept and guides you through the fix without giving away the answer directly.
