Build a Web Scraping Tool with Crawl4AI (Selenium-backed) and Streamlit for AI apps

With Selenium as the backbone, Crawl4AI ensures reliable and efficient crawling, allowing you to extract structured data from dynamic web content seamlessly.

As artificial intelligence continues to grow, web scraping has become an essential tool for gathering data to train models and perform advanced analysis. If you’re looking for a way to build a user-friendly web scraping tool that leverages Selenium, then this guide is for you. Let us walk through how to create a web scraper using Crawl4AI (a Selenium-based Python library) and Streamlit (a framework for building web apps), while personalizing it by adding your details to a sidebar.

Why Use Selenium, Crawl4AI, and Streamlit?

Before diving into the code, let’s quickly understand why these tools are a great combination:

• Selenium: A popular tool used for automating browsers. It allows for navigating complex, dynamic websites (including those that require interaction, such as filling forms or clicking buttons). Selenium gives you the ability to scrape data from websites that rely heavily on JavaScript or dynamic content.
• Crawl4AI: This Python library is built on top of Selenium, making web crawling more efficient and user-friendly, especially for large language models (LLMs) and AI…