Build a Trending Keyword Scraper with Python and Streamlit

In today's fast-paced digital landscape, tracking what people are talking about in real time is a superpower for content creators, marketers, and analysts. Web scraping allows you to automate this data collection, turning raw web pages into actionable insights. This text-only course guides you through building a functional keyword extraction tool from scratch. You will learn how to gather trending topics from web pages, clean the data, and present it in a clean, interactive web application. What you'll learn: Understand the foundational concepts of web scraping, HTTP requests, and HTML structure; Extract real-time web data using Python libraries like requests and Beautiful Soup; Clean and organize unstructured web data using pandas DataFrames; Apply modern Python type hints to write clean, maintainable, and robust scraping scripts; Build an interactive local web dashboard using Streamlit to display your scraped keywords; Export gathered data into structured JSON formats for downstream analysis. The journey begins with fundamental web scraping concepts and ethical scraping practices. From there, you will progress through hands-on code walkthroughs to fetch live data, process it, and finally construct a web-based dashboard to visualize your findings. Designed specifically for beginners, this course requires only basic Python familiarity and no prior data scraping experience. Start reading today to build your first automated keyword tracking application.