Redfin Listings Scraper

Extract for-sale and sold real-estate listings from Redfin by region — one listing per row — with price, beds/baths, square feet, lot size, year built, days on market, $/sqft, HOA, latitude/longitude, and the listing URL.

Built for proptech, real-estate investors and funds, lenders and appraisers, and market analysts.

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Why use this actor

• No account, no login required.
• One listing per row, with clean structured fields — drops straight into a pricing or comps model.
• For-sale or sold, filterable by property type and price.
• Geocoded — every row has latitude/longitude.
• Stable JSON output ready for pipelines, spreadsheets, or databases.

How it works

1. You paste one or more Redfin region pages (a city, ZIP, county, or neighborhood URL).
2. You pick for sale or sold, and optionally property types and a price range.
3. The actor collects every listing in each region — price, beds/baths, size, year built, days on market, coordinates, and the listing link — and streams it into your dataset, ready to download as JSON, CSV, or Excel.

You don't manage any scrapers, accounts, or infrastructure — just paste regions and press Run.

Use cases

Build a comps / pricing dataset Pull sold listings for a set of ZIPs over the last 90 days to feed an automated valuation or comparative-market-analysis model.

Track a market's for-sale inventory Pull active listings across a city's neighborhoods and monitor count, median price, and days on market over time.

Source investment opportunities Filter by property type and price band to surface candidate properties (e.g. condos under $300k) across multiple regions in one run.

Input

Field	Type	Description
searchUrls	list	Redfin region pages, e.g. https://www.redfin.com/city/30818/TX/Austin.
regions	json	Advanced: [{"regionId":"30818","regionType":6}] (6=city, 5=county, 2=ZIP, 1=neighborhood).
listingStatus	dropdown	For sale / Sold.
homeTypes	multi-select	House, Condo, Townhouse, Multi-family, Land, … (empty = all).
soldWithinDays	integer	Window when status = Sold.
priceBands	json	Optional price ranges to pull more per region (see tip).
maxPerRegion	integer	0 = all available.

listingStatus and homeTypes are pick-lists — no codes to remember.

Output — one record per listing

{
  "_input": "city:30818",
  "_source": "S1-gis-csv",
  "_scrapedAt": "2026-06-03T10:00:00Z",
  "recordType": "LISTING",
  "region_label": "city:30818",
  "ADDRESS": "3316 Guadalupe St #213",
  "CITY": "Austin", "STATE OR PROVINCE": "TX", "ZIP OR POSTAL CODE": "78705",
  "PRICE": "155000", "BEDS": "1", "BATHS": "1.0", "SQUARE FEET": "399",
  "PROPERTY TYPE": "Condo/Co-op",
  "LATITUDE": "30.29", "LONGITUDE": "-97.74",
  "URL (SEE ...)": "https://www.redfin.com/TX/Austin/..."
}

Field	Type	Description
ADDRESS	string	Street address.
PRICE	string	List or sold price.
BEDS / BATHS	string	Bedroom / bathroom count.
SQUARE FEET	string	Interior size.
LATITUDE / LONGITUDE	string	Coordinates.

Tip: pulling more than ~350 per region

Each region returns up to ~350 listings. To pull a dense city in full, add more regions (ZIPs/neighborhoods) or use priceBands to split a region into price ranges — results are de-duplicated by address.

Known limits

• Public listing data, no account needed. Large jobs run best with the residential proxy option (on by default).
• Verified live: Austin returned ~340 listings per region with coordinates and links.