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Scrape Redfin Market Statistics

One row per region with Redfin's own regional numbers: median list and sale price, median sale-to-list, average offers, homes sold, homes on market, the compete score and today's mortgage rates.

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Redfin Scraper - MLS Property Listings, Rentals, Market Stats
Redfin Scraper - MLS Property Listings, Rentals, Market Statssnow_leo_data/redfin-scraper
Full address
Price, USD
Bedrooms
Bathrooms
+10 fields
Text
Number
Boolean
List
Object

Input

Locations (Redfin page addresses or ZIP codes):https://www.redfin.com/city/30818/TX/Austin+8
What to collect:marketStats
Add a market row per region:false
Max rows:100
Verify the region Redfin answers with:true

Output fields

Full address
Price, USD
Bedrooms
Bathrooms
Living area, sq ft
Price per sq ft
Property type
Year built
Status
Days on market
City
State
ZIP
Listing URL

How it works

Sign up on Apify or log in

The Redfin Scraper - MLS Property Listings, Rentals, Market Stats Actor is ready to run with the inputs already set for "Scrape Redfin Market Statistics". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Scrape Redfin Market Statistics" task

The Redfin Scraper - MLS Property Listings, Rentals, Market Stats Actor will start running based on the input automatically. You can also change all the input fields, like locations (redfin page addresses or zip codes), what to collect, and more, to match your specific use case.

Receive the "Scrape Redfin Market Statistics" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as full address, price, usd, bedrooms, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Scrape Redfin Market Statistics" task via API.

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Integrate "Scrape Redfin Market Statistics" into your workflow

Connect "Scrape Redfin Market Statistics" with 100+ integrations, or run it via API or MCP.

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