Professional Web Scraper for E-commerce Data Extraction

Technical Overview:

I developed a high-performance Web Scraping script using Python to extract live data from an e-commerce platform. This project demonstrates the ability to automate data gathering from complex HTML structures and organize it for business analysis.

Core Functionalities:

Automated Extraction: Successfully scraped product titles and real-time prices from multiple web pages.

HTML Parsing: Leveraged BeautifulSoup4 to accurately navigate and extract specific data elements.

Data Structuring: Automated the conversion of raw web data into a structured Excel (.xlsx) format using Pandas.

Scalability: The script is designed to handle bulk data extraction, replacing hours of manual work with a single execution.

Technical Stack & Tools:

Language: Python 3.

Libraries: BeautifulSoup4, Requests, and Pandas.

Environment: Developed and tested using Google Colab.