Python package for scraping real estate property data
Python package for scraping real estate property data
a simple web scraping project
Zillow public records integration for property attributes and tax history.
Professional real estate AI prediction system with 61% accuracy (R²) using neural networks trained on 3.9M Zillow transactions. Production-ready FastAPI with rate limiting, beautiful web interface, and 82 engineered features. Perfect for investment analysis, portfolio optimization, and algorithmic trading strategies.
This Python project automates the process of collecting property listings from Zillow and submitting them to a Google Form. It uses BeautifulSoup to scrape addresses, prices, and listing links from Zillow, and Selenium to automatically fill and submit a Google Form for each property.
A stealth-powered Zillow FSBO scraper that extracts clean leads by ZIP code and delivers them via email or JSON.
A powerfull zillow properties scraper
A Zillow scraper offering a free tool for small-scale data collection and an enterprise-grade API for large-scale, reliable property data extraction.
Exploring the Zillow Research datasets with dbt Cloud and Athena
λ🏠 AWS Lambda function for monitoring Zillow Zestimates
Download and process listings from Zillow using Selenium.
A program used to find low-priced homes relative to the Zestimate
An FME- and Python based workflow to import ZTRAX into a set of SQLite databases, and from there into county-level CSV files
Python wrapper around the dotloop API.
Utilized scrapy to scrap Zillow for listings of houses in specific area codes of Schenectady, NY. The code utilized rotating proxies to grab additional data. The requests were not heavy so did not harm website.
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