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Web Scraping Project

📌 Overview This project is designed to extract data from websites using Python. It leverages web scraping techniques to collect, parse, and store information from dynamic and static web pages.

🚀 Features Extract structured data from web pages Handle both static and dynamic content Use BeautifulSoup for HTML parsing Export data to CSV, JSON, or a database 🛠️ Technologies Used Python BeautifulSoup - For HTML parsing Requests - For making HTTP requests Pandas - For data processing and exporting 📂 Installation Clone the repository cd python-webscraping Install dependencies: pip install -r requirements.txt Run the script: python scraper.py 📌 Usage Update the target URL in scraper.py Define the HTML elements to extract Run the script to scrape data Export the results to a file ⚠️ Disclaimer Ensure you comply with the website’s robots.txt policy and terms of service before scraping data.

📞 Contact For questions or contributions, feel free to reach out!