Product Web Scraping and analysis

The "Product Web Scraping and Analysis" project was designed to streamline the extraction and analysis of product data from various online sources. Leveraging BeautifulSoup, this project successfully scraped over 400 data entries, extracting vital information such as URL, product name, price, reviews, and review counts.

Price Estimation and Analysis: Utilized extracted data to estimate product prices effectively. Through a sophisticated analysis involving price, reviews, and review counts, the project was able to provide insights into the selling price for desired products. This analytical approach aided in understanding market trends and pricing strategies.

Comprehensive Data Extraction: Implemented BeautifulSoup to meticulously extract essential product details including URL, name, price, reviews, and the number of reviews. This meticulous data extraction process was executed across a vast array of products, amounting to over 400 entries.

This project showcases expertise in web scraping techniques and data analysis methodologies, demonstrating the ability to extract, analyze, and derive meaningful insights from a large volume of online product data. Its robust error handling mechanisms ensure a stable and consistent data collection process, essential for accurate analysis and decision-making.