Redfin Property Data API - For Sale, Sold, Rentals, Price History

Redfin via Scavio

Search Redfin listings for sale, sold or for rent with the full filter set, open any one of them for the complete MLS fact sheet plus the Redfin Estimate, and pull housing-market statistics for a whole region. All three endpoints return structured JSON.

When to trigger

Use this skill when the user asks to:

• Find homes for sale, recently sold homes, or rentals in a specific area
• Filter listings by price, beds, baths, square footage, lot size, year built, HOA, property type or pool
• Pull one property in full: Redfin Estimate, price and tax history, agents, schools, climate risk, comparable sales
• Get housing-market statistics for a city, ZIP, neighborhood or county
• Build real-estate lead lists, comp analyses or market-trend datasets

Setup

Get a free API key at scavio.dev (50 free credits to get started, no card required):

export SCAVIO_API_KEY=sk_live_your_key

Every request is a POST with a JSON body and:

Authorization: Bearer $SCAVIO_API_KEY

Endpoints

Base URL: https://api.scavio.dev. All paths are under /api/v1/redfin. Every endpoint costs 1 credit.

/property and /market read the property or region page, whose inlined request cache replaces the roughly 40 internal calls that page made - which is why they cost the same as a search.

How to name a location

This is the one thing that trips callers up.

City names are not accepted on location. Redfin's own name-lookup path is the single route its edge blocks. Give the endpoint either of these instead:

1. A redfin.com region URL - /city/, /neighborhood/, /county/ or /zipcode/ - or a bare 5-digit ZIP code, in location; or
2. region_id and region_type together.

region_id is not a ZIP code. They are different number spaces, and a ZIP passed as region_id resolves to some other city rather than failing, so a wrong answer looks like a right one. region_id and region_type must be sent as a pair - with only one of them, the transport falls back to location.

region_type values: 1 neighborhood, 2 ZIP, 5 county, 6 city.

Workflow

1. Search: call /redfin/search with a region URL or ZIP in location (or region_id + region_type), plus filters. Set listing_status to for_sale, sold or for_rent.
2. Open a listing: call /redfin/property with a property_id or any redfin.com listing URL.
3. Market context: call /redfin/market with the same region reference to get medians, sale-to-list ratio, compete score and live inventory.

Pagination

/redfin/search pages with page (1-based) and limit (1-350, default 100). /property and /market return a single object and take no paging parameter.

Parameters

Search (/search)

Rules the endpoint enforces:

• location or (region_id and region_type).
• sold_within_days requires listing_status: sold. It only ever widens what listing_status already chose, so it is rejected elsewhere rather than silently ignored.
• max_days_on_market and min_days_on_market cannot be combined. Redfin expresses both through a single upstream parameter, so sending both would send the max and quietly drop the min.
• Every numeric filter is truncated into the underlying query, so fractional bounds are rejected - 1.5 baths would have silently become 1.

Property (/property)

Market (/market)

Examples

import requests

BASE = "https://api.scavio.dev"
# Your key from https://scavio.dev. Load it from your environment or secret
# store in real code - keep it out of source control.
API_KEY = "sk_your_key_here"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}

# 1. For-sale search by region URL. A city NAME would not work here.
listings = requests.post(f"{BASE}/api/v1/redfin/search", headers=HEADERS,
    json={"location": "https://www.redfin.com/city/30749/TX/Austin",
          "listing_status": "for_sale", "min_price": 400000, "max_price": 800000,
          "beds_min": 3, "property_type": "house", "sort": "newest", "limit": 350}).json()

# 2. Same thing by ZIP
by_zip = requests.post(f"{BASE}/api/v1/redfin/search", headers=HEADERS,
    json={"location": "78704", "listing_status": "for_sale"}).json()

# 3. Recent sales - sold_within_days is valid ONLY with listing_status=sold
sold = requests.post(f"{BASE}/api/v1/redfin/search", headers=HEADERS,
    json={"location": "78704", "listing_status": "sold", "sold_within_days": 30}).json()

# 4. Rentals - min_price/max_price are MONTHLY RENT here
rentals = requests.post(f"{BASE}/api/v1/redfin/search", headers=HEADERS,
    json={"location": "78704", "listing_status": "for_rent", "max_price": 3000}).json()

# 5. One listing in full
prop = requests.post(f"{BASE}/api/v1/redfin/property", headers=HEADERS,
    json={"property_id": "https://www.redfin.com/TX/Austin/..."}).json()

# 6. Market stats for the same region
market = requests.post(f"{BASE}/api/v1/redfin/market", headers=HEADERS,
    json={"region_id": 30749, "region_type": 6}).json()

Response shapes

Every response uses the envelope { data, response_time, credits_used, credits_remaining }.

• search - price, price per sqft, beds, baths, living area, lot size, year built, coordinates, listing remarks and full photo galleries, up to 350 rows per page.
• property - price, Redfin Estimate and rental estimate, the complete MLS fact sheet, price and tax history, listing agents, open houses, schools, climate risk, walkability and location scores, sun exposure, monthly weather, permits, zoning, comparable sales and photos.
• market - median list and sale price, price per sqft, sale-to-list ratio, average offers and days on market, year-over-year movement, Redfin's 0-100 compete score, live inventory by property type, median price and active listings per bedroom count, and Redfin agent presence with an aggregate rating.

days_on_market is always null on /search. The upstream payload has no such key. Do not report it as populated, do not infer it from a listing date, and if the user needs time-on-market, use /market (which publishes an average for the region) or min_days_on_market / max_days_on_market as filters.

Guardrails

• Every call is 1 credit, including a 350-row page. Prefer one wide page over several narrow ones.
• Never pass a city name as location. If the user says "Austin", resolve it to a redfin.com region URL or a ZIP first, or ask them for one - a name will not work and there is no name-lookup endpoint here.
• Never treat a ZIP as a region_id. It will resolve to a different city and return plausible-looking data for the wrong place.
• sold_within_days only makes sense with listing_status: sold. Do not send it with a for-sale or rental search.
• Do not combine max_days_on_market with min_days_on_market - pick one.
• Fractional filters are rejected on purpose. If the user wants 1.5 baths, say the filter is whole-baths only rather than rounding for them.
• min_price / max_price mean monthly rent on a for_rent search and sale price everywhere else. Label the number in your answer.
• property_type deliberately omits one Redfin code whose meaning could not be confirmed. If a listing class seems missing from results, do not guess a code - search without the filter.
• Never fabricate addresses, prices, estimates, agents or comps. Only return API data, and include the listing URL so the user can verify.
• Listing data moves fast. Say when the data was fetched, and never present an estimate as an appraisal.

Failure handling

• 400 means an invalid or missing parameter - a city name in location, a lone region_id without region_type, sold_within_days on a non-sold search, both day-on-market bounds at once, or a fractional numeric filter. Fix and retry.
• 401 means the API key is invalid or missing. Check SCAVIO_API_KEY.
• 404 means the property or region does not resolve. Re-check the id or URL.
• 429 means rate or usage limit exceeded. Wait before retrying. See rate limits.
• 502 / 503 mean upstream is temporarily unavailable - wait a few seconds and retry.
• If a search returns nothing, relax the price, bed or property-type filters before assuming the region is empty.
• If SCAVIO_API_KEY is not set, prompt the user to export it before continuing.

Python SDK

langchain-scavio has no Redfin tool - use the Scavio SDK directly:

pip install scavio==0.15.0

from scavio import ScavioClient

client = ScavioClient()  # reads SCAVIO_API_KEY

listings = client.redfin.search(location="78704", listing_status="for_sale",
                                beds_min=3, max_price=800000, limit=350)
prop = client.redfin.property("https://www.redfin.com/TX/Austin/...")
market = client.redfin.market(region_id=30749, region_type=6)

JavaScript / TypeScript:

npm install scavio@0.15.0

import { Scavio } from "scavio";

const scavio = new Scavio(); // reads SCAVIO_API_KEY
const listings = await scavio.redfin.search({ location: "78704", listing_status: "sold",
                                              sold_within_days: 30 });