Zillow API Alternatives in 2026: 5 Tested and Compared

Does Zillow Have an API?

Best Zillow API options by need

• Zillow and Redfin on one key, by address: OpenWeb Ninja, which also searches by coordinates and polygon.
• Fastest by address in our test: RealtyAPI, 0.63 s median.
• Lowest published price at volume: HasData, $0.69 per 1,000 requests on Growth.
• Pay per result, no commitment: Apify, $0.0036 per result on the free plan.
• Ownership, deed and mortgage records: ATTOM, a records API with an AVM.

Comparison table

All five run live with our own keys in October 2026. "Per 1K" is the entry plan price divided by the requests (or results) it includes.

*RealtyAPI bills 1 to 3 credits for detailed property calls, so this is the best case.

How We Tested the Five APIs

• One home: 12909 Majestic Oaks Dr, Austin, TX 78732, chosen because it has a Zestimate (see the note below).
• Five APIs, live: each asked for the property details, three runs, median time, one machine, October 2026.
• Docs vs observations: capabilities and prices come from each provider's own docs and pricing page. Timings and values come from our calls. Where docs are silent, we say "not documented".

We build one of these APIs, so read entry #1 with that in mind.

Same Home, Four Zillow Data APIs, Same Answer

All four agree on bedrooms, bathrooms, living area, year built, both estimates and the price and tax history. The choice comes down to how you look a home up, speed and price.

ATTOM answers differently. It is a records API, so it has no Zestimate or price events. Its AVM said $539,000, with a range of $494,392 to $583,608 and a confidence score of 92.

One catch: OpenWeb Ninja's Zestimate endpoint returned null for all eight active Austin listings we tried, and a value for three of four recently sold homes. The docs do not say when it can be null.

Best for: Zillow and Redfin scrapers on the same account as HasData's other scrapers

Zillow and Redfin listing and property endpoints (we ran the Zillow ones). Each request costs 10 credits: $2.46 per 1,000 on the $49 plan, $0.99 on Basic, $0.69 on Growth. The free plan is 1,000 credits, which its pricing page lists as 100 Zillow requests.

import requests

response = requests.get(
    "https://api.hasdata.com/scrape/zillow/property",
    headers={"x-api-key": "YOUR_API_KEY"},
    params={"url": "https://www.zillow.com/homedetails/12909-Majestic-Oaks-Dr-Austin-TX-78732/29357265_zpid/"},
)
home = response.json()["property"]
print(home["beds"], home["baths"], home["yearBuilt"], home["zestimate"]["zestimate"], home["zestimate"]["rentZestimate"])

Response (trimmed)

{
  "requestMetadata": { "status": "ok", ... },
  "property": {
    "id": 29357265,
    "status": "RECENTLY_SOLD",
    "homeType": "SINGLE_FAMILY",
    "beds": 3,
    "baths": 2,
    "yearBuilt": 2000,
    "zestimate": {
      "zestimate": 534500,
      "estimatedSaleRange": "$508K - $561K",
      "rentZestimate": 2921,
      "zestimateLowPercent": 5,
      "zestimateHighPercent": 5
    },
    ... more fields
  }
}

Best for: one key across Zillow, Redfin, Realtor.com and other portals, including outside the US

Its docs describe a Zillow API with lookups by address, ZPID or URL, search, and Zestimate, tax and price history. Plans: Free 250 requests a month, Pro $49 for 20,000, Ultra $99 for 85,000, Mega $399 for 500,000 ($0.80 per 1,000). Detailed property calls cost 1 to 3 credits. The pricing page's platform list does not name Zillow, so plan coverage for Zillow is not documented.

import requests

response = requests.get(
    "https://zillow.realtyapi.io/pro/byaddress",
    headers={"x-realtyapi-key": "YOUR_API_KEY"},
    params={"propertyaddress": "12909 Majestic Oaks Dr, Austin, TX 78732"},
)
home = response.json()["propertyDetails"]
print(home["bedrooms"], home["bathrooms"], home["yearBuilt"], home["zestimate"], home["rentZestimate"])

Response (trimmed)

{
  "message": "200: Success",
  "zillowURL": "https://www.zillow.com/homedetails/12909-Majestic-Oaks-Dr-Austin-TX-78732/29357265_zpid/",
  "propertyDetails": {
    "zpid": 29357265,
    "homeStatus": "RECENTLY_SOLD",
    "homeType": "SINGLE_FAMILY",
    "bedrooms": 3,
    "bathrooms": 2,
    "livingArea": 2315,
    "yearBuilt": 2000,
    "zestimate": 534500,
    "rentZestimate": 2921,
    "priceHistory": [ { "date": "2026-10-02", "event": "Sold", "price": null }, ... more events ],
    "taxHistory": [ ... ],
    ... more fields
  }
}

A Zillow search for Austin, TX returned 200 results in a median 1.13 s. Its /pricehistory endpoint worked with byzpid but returned HTTP 500 with byaddress.

Quick Start

Get a free key on the Real-Time Real Estate Data API page, then run these.

1. Search Zillow listings

import requests

response = requests.get(
    "https://api.openwebninja.com/realtime-real-estate-data/zillow/search",
    headers={"x-api-key": "YOUR_API_KEY"},
    params={"location": "Austin, TX", "home_status": "FOR_SALE"},
)
homes = response.json()["data"]
print(len(homes), homes[0]["address"], homes[0]["price"])

Response (trimmed)

{
  "status": "OK",
  "data": [
    {
      "zpid": "52830624",
      "homeStatus": "FOR_SALE",
      "address": "15120 Thatcher Dr, Austin, TX 78717",
      "homeType": "SINGLE_FAMILY",
      "price": 565000,
      "bedrooms": 3,
      "bathrooms": 3,
      "livingArea": 2537,
      "daysOnZillow": 3,
      ... more fields
    },
    ... more listings
  ]
}

Each search page includes up to 41 results.

2. Look up a home by address, then fetch its Zestimate

import requests

headers = {"x-api-key": "YOUR_API_KEY"}
base = "https://api.openwebninja.com/realtime-real-estate-data"

home = requests.get(
    f"{base}/zillow/property-details-address",
    headers=headers,
    params={"address": "12909 Majestic Oaks Dr, Austin, TX 78732"},
).json()["data"]
print(home["zpid"], home["bedrooms"], home["bathrooms"], home["livingArea"], home["yearBuilt"])

zestimate = requests.get(
    f"{base}/zillow/zestimate",
    headers=headers,
    params={"zpid": home["zpid"]},
).json()["data"]
print(zestimate)

Response: property details (trimmed)

{
  "status": "OK",
  "data": {
    "zpid": 29357265,
    "homeStatus": "RECENTLY_SOLD",
    "homeType": "SINGLE_FAMILY",
    "bedrooms": 3,
    "bathrooms": 2,
    "livingArea": 2315,
    "yearBuilt": 2000,
    "zestimate": 534500,
    "rentZestimate": 2921,
    "priceHistory": [
      { "date": "2026-10-02", "event": "Sold", "price": null, "source": "Agent Provided" },
      { "date": "2026-09-21", "event": "Contingent", "price": 539000, "source": "Unlock MLS" },
      ... more events
    ],
    "taxHistory": [
      { "taxPaid": 8235.92, "value": 520303, "valueIncreaseRate": -0.029917087 },
      ... more years
    ],
    ... more fields
  }
}

Response: Zestimate

{ "status": "OK", "parameters": { "zpid": "29357265" }, "data": { "zestimate": 534500 } }

3. Redfin market trends for a ZIP code

import requests

response = requests.get(
    "https://api.openwebninja.com/realtime-real-estate-data/redfin/market-trends",
    headers={"x-api-key": "YOUR_API_KEY"},
    params={"location": "78732"},
)
snapshot = response.json()["data"]["snapshot"]
print(snapshot["medianSalePrice"], snapshot["medianSalePerList"], snapshot["avgDaysOnMarket"], snapshot["yoySalePrice"])

Response (trimmed)

{
  "status": "OK",
  "data": {
    "region": { "name": "78732", "region_type": 2, "country_code": "US" },
    "snapshot": {
      "medianListPrice": "$826K",
      "medianSalePrice": "$861K",
      "medianSalePerList": "96.3%",
      "numHomesSold": "20",
      "numHomesOnMarket": "108",
      "avgDaysOnMarket": "86",
      "yoySalePrice": "+7.8%"
    },
    "home_prices": [ ... ],
    "demand": [ ... ]
  }
}

Redfin search and trends take a 5-digit US ZIP code, a Canadian postal-code area or a Redfin URL. A city name returned a 400 error.

Building an AI agent? OpenWeb Ninja and RealtyAPI both document an MCP server, and ours is in the MCP server post. For use cases see real estate intelligence and deal sourcing with Zillow data.