Summarization of Web Page using Web Scraping System

Rakesh Tagavula

Abstract:

A Web Scraping System is an automated software solution designed to extract useful information from websites efficiently and accurately. The system collects data from multiple web pages, processes the extracted content, and stores it in a structured format for analysis and further use. Web scraping reduces manual effort, saves time, and enables organizations and individuals to gather large amounts of online data quickly. The proposed Web Scraping System uses technologies such as Python, web crawling libraries, and HTML parsing tools to navigate websites and retrieve required information. The system can extract various types of data including text, images, product details, prices, news articles, and hyperlinks. It also handles dynamic web pages and supports automated scheduling for continuous data collection. The main objective of the system is to provide an efficient, scalable, and user-friendly platform for data extraction from the internet. The extracted data can be utilized in applications such as market research, price comparison, data analytics, sentiment analysis, business intelligence, and academic research. The system improves data accessibility and minimizes human intervention while maintaining accuracy and speed. Overall, the Web Scraping System offers a practical and effective approach for automated web data extraction and management, making it valuable for organizations that rely on up-to-date online information.