FuzzuTech Projects

━━━━━━━━━━━━━━━━━━━━ 📖 Introduction In this tutorial, we will build a modern AI-Powered Universal Web Scraper using Python, CustomTkinter, Selenium, BeautifulSoup, and SQLite . This desktop application allows users to paste any website URL, describe what data they want using a simple AI-style prompt, automatically extract publicly available information, and export results into multiple professional formats. This project was inspired by one of our viewers, who requested a modern Python application capable of combining Selenium automation, CustomTkinter GUI, SQLite database, and intelligent prompt-based extraction into one powerful desktop software. Throughout this tutorial you'll learn Python GUI development, browser automation, HTML parsing, multithreading, SQLite database management, exporting data, and building production-quality desktop applications. Whether you are a Python developer, automation engineer, student, freelancer, or softwar...

Demo : Click Video 👇👇👇 Code : import tkinter as tk from tkinter import ttk from tkinter import messagebox import requests from bs4 import BeautifulSoup # Function to scrape the data def web_scraper():     url = url_entry.get()     if not url:         messagebox.showerror("Input Error", "Please enter a URL!")         return     try:         response = requests.get(url)         soup = BeautifulSoup(response.text, 'html.parser')         # Extracting the title         title = soup.title.string if soup.title else "No title found"         title_label.config(text=f"Page Title: {title}")         # Extracting all anchor tags (links)         links = soup.find_all('a')         links_text = ""         for link in links:       ...