A modular and lightweight web scraping toolkit for extracting structured data from real estate websites using Python, BeautifulSoup, CloudScraper, and Requests.
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Updated
Feb 2, 2026 - Python
A modular and lightweight web scraping toolkit for extracting structured data from real estate websites using Python, BeautifulSoup, CloudScraper, and Requests.
The project aims to create a database that meets a specific need, following a UML design and a relational model with normalization. The realization involves creating and populating the tables using SQL commands, followed by testing complex queries to verify the efficiency and proper functioning of the database.
The vicky_server.py module powers the Vicky Data Science Assistant by executing solutions dynamically based on query patterns. With extensive pattern recognition and specialized solvers, it provides an efficient and scalable approach to answering data science queries.
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