Web Scraping

This repository contains Python scripts and tools for web scraping, designed to extract and process data from websites. It demonstrates how to use popular web scraping libraries such as BeautifulSoup, requests, and Selenium to scrape dynamic and static web pages.

Features

• Static Web Scraping: Scrape data from static HTML pages using requests and BeautifulSoup.
• Dynamic Web Scraping: Handle JavaScript-rendered content using Selenium and WebDriver.
• Data Processing: Clean and process scraped data to be used for further analysis or storage.
• Customizable: Easily modify the scraper to fit different website structures and data formats.

Requirements

To use the tools in this repository, you will need:

• Python 3.x
• The following Python libraries:
  • requests
  • beautifulsoup4
  • selenium
  • pandas (optional, for data storage and manipulation)

You can install the required libraries using the following command:

pip install requests beautifulsoup4 selenium pandas