Node wrapper for Zillow API

A program used to find low-priced homes relative to the Zestimate

Real Estate Brokerage Website - Front-end with React

Get search results for multiple listings through API.

Python scripts for interacting with the Zillow API

Web Mashup that combines two web services: Google Maps and the Zillow API, using JavaScript and AJAX. Click a house on the map , the application will display the postal address and the estimated price of the house.

Zillow Data Pipeline: Extracts data from Zillow, transfers it through AWS services, and performs analytics. Utilizes Python scripts, AWS Lambda, S3, Amazon RedShift, and QuickSight. Explore docs/images for architecture visuals.

This scraper will scrape zillow's properties using zip code in Python

The Custom Zillow API Scraper is a tool designed to collect real estate data from Zillow. It fetches property details, location data, photos, and historical prices, ideal for real estate analysis, market research, and investment opportunities.

Using Zillow database and google API, plots nearby places of user input center location. Utilizing data obtained, finds relationship between real estate values and local amenities with multi-variable linear regression.

Utilizes API to retrieve raw data from Zillow.com, transform it and then place results on a Google Map

WebApp to estimate monetary damage from satellite images using Zillow API property valuations, Tensorflow, Keras

Creation of a real estate data visualization that allows users to investigate trends of historical and forecasted data.

Repository contain script to fetch properties in zillow.com by address.

Research on the inequalities present in campaign fundraising for Massachusetts State Elections.

This repository holds the code for Bright Bridge Realty website. This website pulls live Real Estate data to serve customer's needs

Scrape zillow.com listings from your terminal, supports multiple output types (json, csv, html, etc.)

A Python script extracts data from Zillow and stores it in an initial S3 bucket. Then, Lambda functions handle the flow: copying the data to a processing bucket and transforming it from JSON to CSV format. The final CSV data resides in another S3 bucket, ready to be loaded into Amazon Redshift for in-depth analysis. QuickSight for visualizations

Enable the user to click on the map and the marker pointing to the corresponding location would display the address and rent estimate of the house.