WebScrapping
WebScrapping is a Python-based utility designed for comprehensive data mining, analysis, and visualization from web sources. The software automates the extraction of structured data, including product categories, activities, and purchase counts, by initially fetching content from a target landing page and then programmatically iterating through all subsequent paginated pages. Once the raw data is collected, the system applies statistical techniques to perform mathematical analysis, transforming the information into meaningful insights. The final output is presented through visual representations generated by the script. The tool requires Python 2 or 3 and relies on essential libraries such as requests for handling HTTP requests, BeautifulSoup for parsing HTML, Pandas for data manipulation, Matplotlib for charting, and Regular Expressions for pattern matching. To use the software, users must install these dependencies and execute the provided Python script via the terminal. This solution is ideal for researche