Redfin Real Estate Scraper

Extract Property Data at Scale From Any Redfin Search

Turn any Redfin search page into structured, actionable property data. Instantly convert property listings into clean JSON with prices, specifications, and market details. No API keys, no developer overhead. Just paste a Redfin search URL and get hundreds or thousands of property records.

Perfect for real estate investors, agents, appraisers, market researchers, and proptech companies who need property data faster than manual research allows.

What You Get

This actor extracts complete property information from any Redfin search result: property address (full street, city, state, ZIP), list price and price history, bedrooms and bathrooms, square footage and lot size, property type (house, condo, townhouse, multi-family), year built, HOA fees, listing status (active, pending, sold), days on market, and price per square foot.

Real-World Use Cases

Real Estate Investment Analysis

Investors use this to identify distressed properties, calculate cap rates across neighborhoods, and spot emerging markets. Export 5,000+ properties into analysis spreadsheets in minutes instead of reviewing hundreds of listings manually per week.

Competitive Market Reports for Agents

Build personal MLS databases and competitive market analysis reports without enterprise software costs. Track competitor listings, monitor market inventory by price point, and generate neighborhood reports.

Professional Appraisal Support

Source comparable sales data directly from active listings instead of relying on outdated MLS archives. Faster than manually searching dozens of neighborhoods, with real-time pricing trends.

Market Research and Data Analysis

Track housing trends, study price-to-square-footage ratios, analyze HOA cost patterns across regions. Export data into dashboards, statistical models, or machine learning pipelines.

Proptech Product Development

Integrate reliable property data into investment platforms, neighborhood recommendation engines, or CMA tools. Instead of building expensive scrapers from scratch, add property data extraction as a feature.

How It Works

Input

Paste any Redfin search URL:

https://www.redfin.com/CA/Oakland/homes-for-sale
https://www.redfin.com/search?min_price=300000&max_price=600000&region=Austin%20TX

The actor handles pagination automatically and extracts all results from your search criteria.

Sample Output

{
  "address": "1447 Valencia Street",
  "city": "San Francisco",
  "state": "CA",
  "zipCode": "94110",
  "price": 1850000,
  "beds": 4,
  "baths": 2.5,
  "squareFeet": 2100,
  "lotSize": 3500,
  "yearBuilt": 1924,
  "propertyType": "House",
  "listingStatus": "Active",
  "daysOnMarket": 12,
  "hoaFees": 0,
  "pricePerSqft": 881
}

Pricing: $5 per 1,000 Results

Transparent, volume-based pricing with no hidden fees.

Why it's worth it: manual research costs 15-30 minutes per property to gather this data. Extract 1,000 properties for $5 instead of 250+ hours of manual work. Professional MLS access costs $30-50/month with membership requirements. Custom web scraping services charge $100-500+ per job with weeks of turnaround.

A competitive market analysis requiring 5,000 listings costs $25. A weekly market tracking routine across three cities costs $75.

FAQ

How many results can I get from one run? Depends on your search criteria. A broad city-wide search might return 1,000-5,000 listings. A filtered search returns fewer. The actor handles pagination automatically.

Can I run this daily for market tracking? Yes. Set up recurring runs to track how listings change over time. Monitor price changes, new listings, and sold inventory.

What if my search has zero results? The actor returns an empty results array. Adjust your search filters or try a different location.

Can I export to CSV? Results come as JSON, which you can convert to CSV using online converters or spreadsheet software.