Nexa Auto automates the process of verifying the authenticity of addresses for room service eligibility and retrieving detailed specifications across multiple websites. Utilizing Selenium for web automation and GPT for handling missing data, Nexa Auto significantly reduces manual effort in data entry tasks.

This project is a powerful and extensible scrapy-based crawler designed to extract and aggregate data from multiple real estate crowdfunding platforms. Ideal for investors, analysts and researchers interested in tracking investment opportunities, platform performance and market trends

Python script scrapes real estate price data for all cities from imot.bg

This repository contains SQL scripts used to clean and prepare the Nashville Housing dataset for analysis.

Automated Python scraper for extracting delinquent tax data from Lancaster County, PA's public parcel viewer. Accepts parcel list input, extracts only relevant data, and outputs clean CSV files. Built for large-scale use with request throttling and error handling.

This project is a powerful and extensible scrapy-based crawler designed to extract and aggregate data from multiple real estate crowdfunding platforms. Ideal for investors, analysts and researchers interested in tracking investment opportunities, platform performance and market trends