Python package for scraping real estate property data
Spokane Realtor Quest - the funniest Spokane real estate game on the internet, brought to you by ForSaleSpokane.com and Joey Costello, your Spokane Realtor and Spokane real estate agent. Find the easter egg, win 1% off a real Spokane home. Spokane Realtor | Spokane real estate agent | For Sale Spokane | Homes For Sale Spokane.
Talk to your Follow Up Boss CRM in plain English. 160-tool MCP server for realtors, built by a working broker (Neuhaus Realty Group, Austin TX). Free self-host, ELv2 licensed.
Real Estate Website Built With ReactJs and Tailwindcss: Features - Property Listing, Property Details, Testimonial, FAQs, Blogs | Populates data from Open Source Real Estate API
A complete AI-powered real estate agency — 12 specialized agent paired with 12 production skills that generate CMAs, offer strategies, marketing plans, underwriting models, and compliance audits. Built on the agency-agents framework.
Python package to extract and analyse Canadian, United States and Indian real estate data from REALTOR.CA, REALTOR.COM and HOUSING.COM
Free Fair-Housing-compliant Claude skills for real estate agents: listing copy, MLS integration with Claude Code, compliance, quick-start. By Al & Victoria Pinder.
The open source AI-powered Real Estate CRM built for brokerages and channel partners.
Real estate agent contact scraper using web scraping tools
All homes in top locations, Nexter is manageable realtor app that allows its users to find a home that’s perfect for everyone no matter their preferences. this project is solely (user-interface) only
Extend realtor.com filters base on certain conditions and pull total number of houses by price range, and exported to a csv file.
A simple tool for investors to find cash-flowing properties in Canada. Scans target cities, underwrites with a conservative cash-flow model, and ranks deals by margin of safety.
A free AI assistant for real estate agents. Writes listings, ranks buyer fit, and builds defensible price bands — tuned to your local market in about 20 minutes. Three populated examples included: Jerusalem, Northern California, and Khao Lak.
realtor data extraction tool
An application that helps realtors to more easily control their objects and find clients
Predicting House Prices Based on Varied ML Methods Such as Random Forest and XGBoost
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