# Changelog of Redfin Housing Market Data Scraper — Trends, Comps, Hotness (`sian.agency/redfin-market-analytics-scraper`) Actor

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

## Changelog

All notable changes to Redfin Housing Market Data Scraper will be documented in this file.

### \[2026-07-02]

#### 🎉 Redfin Housing Market Data Scraper - Launch!

- **60-Month Market Trend Series** - Median sale price, homes sold, days on market, sale-to-list ratio, and price-drop shares for any ZIP code, city, county, or neighborhood — every monthly point with year-over-year change
- **Compete Score Market Hotness** - 0–100 competitiveness score with typical offers, waived contingencies, and nearby-ZIP comparison for instant housing market analysis
- **Recently Sold Comps** - The latest sold homes per location with sold price, price per sqft, beds/baths, MLS number, and coordinates in one row
- **Schools & Climate Risk** - School ratings with parent ratings and student-teacher ratios, plus flood, fire, heat, and wind risk scores per location
- **National Baseline & Mortgage Rates** - US-wide housing market trends including the average 30-year fixed mortgage rate for market-vs-nation indexing
- **Listing Demand Signals** - Tour counts, view popularity, and price-drop eligibility per active listing

#### 💎 User Benefits

- Rank dozens of target markets in one run instead of reading housing pages one by one
- One flat row fee buys an entire 60-month series (360+ datapoints) — not hundreds of per-item charges
- Join-ready rows with resolved region IDs drop straight into BigQuery, Snowflake, pandas, or Excel
- FREE tier includes 5 locations per run with full feature access

#### 🎯 Use Cases

- Real-estate investors ranking ZIP codes by price momentum and Compete Score before allocating capital
- Acquisition analysts refreshing sold-comp feeds for automated ARV and cap-rate underwriting
- PropTech teams scoring neighborhoods on school quality and climate risk behind their search products
