Web Crawling and Data Analysis with Gemini CLI and Python

In an era of infinite information, the ability to efficiently gather and interpret web data is a critical skill for any developer or analyst. This text-based course guides you through the process of building intelligent scrapers that do more than just collect text—they understand it. You will move from manual data collection to building automated pipelines that leverage AI to handle unstructured web content, transforming raw HTML into structured, actionable data. By the end of the course, you will be able to bridge the gap between web crawling and sophisticated data analysis. What you'll learn: - Understand the foundations of web protocols and HTML structure for effective data extraction - Configure a modern Python environment using VSCode and current package management tools - Apply Python scripts to crawl websites and handle dynamic content challenges - Integrate Gemini CLI to parse, summarize, and categorize scraped data using prompt engineering - Practice data cleaning and analysis techniques to turn raw information into structured formats - Master modern Python practices like type hints and asynchronous requests for faster crawling The course starts with essential terminology and environment setup before moving into practical crawling logic and AI-driven analysis. You will follow a structured path from basic requests to advanced data processing workflows through written explanations and code examples. This course is designed for beginners with no prior experience in web scraping or AI integration who want to learn data automation. Start building your own intelligent data collection tools today.