REAL ESTATE

Extract Redfin Data

Active US home listings — price, beds, baths, sqft, and photos — by region.

Ask AuraCrawl for what you need from Redfin — "every active listing in this region with price, beds, baths, square footage, and lot size." We call the stingray listings API directly; pass a region id and type (both readable straight from any Redfin URL) and we return the active set.

What a response looks like

REQUEST

ask“Tell AuraCrawl what you need from Redfin in plain language — which entities, which fields, how often. That sentence is the spec.”

redfin-sample.json
{
  "listing_id": "176889012",
  "address": "1240 Judah St, San Francisco, CA 94122",
  "price": 1395000,
  "beds": 3,
  "baths": 2,
  "sqft": 1580,
  "lot_size": 2495,
  "year_built": 1936,
  "url": "https://www.redfin.com/CA/San-Francisco/1240-Judah-St-94122/home/1809234"
}
Real capture from Redfin, 2026-09-03. Markets move — treat the values as a point in time, not a quote.

What you can extract

  • Address, price, and price per square foot
  • Beds, baths, interior sqft, and lot size
  • Year built and property type
  • Listing status and days on market
  • Photo URLs and canonical listing URL
  • Active listings for any region id

PIPELINE Redfin's stingray listings API is open over plain HTTP — an Open-tier target; the city-name autocomplete is blocked, so the connector takes a region id directly.

Request Redfin data.

Describe the fields, the volume, and the cadence. We scope the extraction and deliver a sample before you commit.