# Changelog of Realtor.com Market Data Scraper — Hotness, Forecast, Schools (`sian.agency/realtor-market-analytics-scraper`) Actor

- **URL**: https://apify.com/sian.agency/realtor-market-analytics-scraper/changelog.md
- **Full Actor documentation**: https://apify.com/sian.agency/realtor-market-analytics-scraper.md

## Changelog

All notable changes to Realtor.com Market Data Scraper will be documented in this file.

### \[2026-07-02]

#### 🎉 Realtor.com Market Data Scraper - Launch!

- **ZIP-Level Market Hotness** - Score and label every ZIP in a metro (345 hotness-scored ZIPs per Austin query) for instant submarket screening
- **12-Month Housing Forecast** - Forecast home value in dollars and percent change per ZIP, ready for buy-box models and market-timing dashboards
- **Home-Value & Days-on-Market Heatmaps** - ~4,500 heatmap cells per ZIP query across 10 layers: estimates, $/sqft, sqft, year built, lot acres, lot slope, noise, DOM, sold-vs-list, sold $/sqft
- **Parcel-Resolution Mode** - Zoom 15–16 returns per-parcel value estimates with real property IDs for lead sourcing and detail enrichment
- **Climate-Risk Overlays** - Flood, wildfire, heat, wind, and air-quality raster tiles with 0/15/30-year projections, stored as ready-to-use PNGs
- **Schools & Neighborhoods Layers** - School ratings, parent ratings, student-teacher ratios and contacts, plus neighborhood names with stable join IDs

#### 💎 User Benefits

- One query returns a whole metro's market data — hundreds to thousands of analyst-ready rows per charge
- Priced per layer query, not per row: metro-wide housing market data for about a cent
- Flat, typed dataset fields drop straight into BigQuery, Snowflake, pandas, or Sheets
- Free-form locations (ZIP, city, neighborhood, county, address) resolved automatically

#### 🎯 Use Cases

- Real-estate investors screening ZIPs by market hotness before running comps
- Acquisition analysts feeding 12-month price forecasts into buy-box models
- PropTech teams rendering home-value heatmaps without building a data pipeline
- Underwriters overlaying 30-year flood and wildfire projections for portfolio risk
- Relocation platforms attaching school ratings and contacts to every listing
