Zillow FSBO Scraper is a high-performance Python automation tool designed to extract "For Sale By Owner" (FSBO) property leads from Zillow.
The project aims to accurately predict the Zillow home value index of missing values in the dataset using Ridge Regression. The model is evaluated on the basis of various metrics like R2 score, root mean squared error, mean absolute percentage error and bias. This mini project was a part of CIVE 7100 course at Northeastern University.
Exploring the Zillow Research datasets with dbt Cloud and Athena
Zillow off-market home search
This library scrapes zillow property website
Zillow scraper built with Python and Selenium to extract property listings, rental data, prices, home details, and agent information. Automates real estate data collection into structured JSON/CSV for analysis, investment research, and market insights.
The modern Zillow API - REST endpoints, code examples in 6 languages (Python, Node, Go, Ruby, PHP, curl), free tier (100 credits at signup, no card), no scraping. Powered by the Zillapi REST API.
Extensive house price predicting model for the famous Zillow housing dataset.
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