Unlock the power of informed real estate decisions with the US Real Estate Rental Estimator API. Harnessing comprehensive data analytics, this API delivers precise rental estimates tailored to US property markets. Whether you're a developer, investor, or real estate professional, integrate seamlessly to access detailed insights crucial for strategic planning and investment. From calculating rental yields to forecasting market trends, empower your platforms with accurate property projections. Stay agile in dynamic markets by leveraging advanced algorithms that ensure reliability and efficiency in rental estimations. Transform your real estate strategy with this essential tool, designed to optimize decision-making processes and elevate your competitive edge.
Pass the address that you want to lookup, property type, and other filters that will allow you to get rental estimates.
Real Estate Investment Platforms: Real estate investment websites and apps can integrate the API to provide users with instant rental estimates for properties they are interested in. Investors can make data-driven decisions, maximizing their returns and minimizing risks.
Property Listing Websites: Online property listing platforms can incorporate the API to automatically suggest rental prices for property owners. Accurate estimates enhance the attractiveness of listings, helping property owners set competitive rental rates and attracting suitable tenants faster.
Financial Planning Tools: Personal finance and budgeting applications can utilize the API to help users estimate rental costs when planning their budgets. This feature can be especially useful for individuals or families relocating to new areas, aiding them in understanding the cost of living.
Market Research and Analytics: Market research firms and real estate analysts can employ the API to gather comprehensive data on rental trends. Analyzing this data over time provides valuable insights into market fluctuations, enabling businesses and policymakers to make informed decisions.
Property Management Software: Property management software solutions can integrate the API to assist landlords in setting optimal rental prices for their properties. By considering various factors like location, property type, and market demand, property managers can maximize rental income while ensuring occupancy rates remain high.
Besides the number of API calls available for the plan, there are no other limitations.
With this tool, you can get a rental estimate for the address. This tool is designed to improve the accuracy of your rental estimate.
Receive a vast list of estimated rentals across the USA.
Property Types
We use the following property types in our API, both for the propertyType query parameter, as well as any property type fields, returned via our API as part of the property or listing records:
Continue with Google
Continue with GithubSingle Family (default): a detached, single-family propertyCondo: a single unit in a condominium development or building, which is part of a homeowner’s association (HOA)Townhouse: a single-family property that shares walls with other adjacent homes, and is typically part of a homeowner’s association (HOA)Duplex-Triplex: a single unit/apartment within a residential multi-family building (2-4 units)Apartment: a single unit/apartment within a commercial multi-family building or apartment complex (5+ units)Get Estimation - Endpoint Features
| Object | Description |
|---|---|
address |
[Required] The property address in the format of 'Street, City, State, Zip'. |
propertyType |
[Required] The type of the property. Supported values are: Single Family, Condo, Townhouse, Duplex-Triplex, Apartment |
bedrooms |
[Required] The number of bedrooms in the property |
bathrroms |
[Required] The number of bathrooms in the property. Supports fractions to indicate partial bathrooms |
squareFootage |
[Required] The total living area size of the property, in square feet |
{
"rent": 1620,
"rentRangeLow": 1510,
"rentRangeHigh": 1730,
"listings": [
{
"id": "7127-Still-Hollow-Dr,-San-Antonio,-TX-78244",
"formattedAddress": "7127 Still Hollow Dr, San Antonio, TX 78244",
"longitude": -98.348317,
"latitude": 29.475403,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1750,
"publishedDate": "2024-08-15T04:19:26.727Z",
"distance": 0.1921,
"daysOld": 16,
"correlation": 0.8985,
"address": "7127 Still Hollow Dr",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1578.0000000000002,
"yearBuilt": 1999
},
{
"id": "5015-Crestwood-Hill-Dr,-San-Antonio,-TX-78244",
"formattedAddress": "5015 Crestwood Hill Dr, San Antonio, TX 78244",
"longitude": -98.346497,
"latitude": 29.474565,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1425,
"publishedDate": "2024-03-18T00:00:00.000Z",
"distance": 0.3131,
"daysOld": 166,
"correlation": 0.8962,
"address": "5015 Crestwood Hill Dr",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1578.0,
"yearBuilt": 2001
},
{
"id": "5438-Lost-Tree,-San-Antonio,-TX-78244",
"formattedAddress": "5438 Lost Tree, San Antonio, TX 78244",
"longitude": -98.345956,
"latitude": 29.478331,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1550,
"publishedDate": "2024-01-17T00:00:00.000Z",
"distance": 0.3688,
"daysOld": 227,
"correlation": 0.8951,
"address": "5438 Lost Tree",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1623.0,
"yearBuilt": 2001
},
{
"id": "4915-Fern-Lk,-San-Antonio,-TX-78244",
"formattedAddress": "4915 Fern Lk, San Antonio, TX 78244",
"longitude": -98.349776,
"latitude": 29.470659,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1495,
"publishedDate": "2023-12-28T00:00:00.000Z",
"distance": 0.3803,
"daysOld": 247,
"correlation": 0.8942,
"address": "4915 Fern Lk",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1573.0,
"yearBuilt": 1989
},
{
"id": "7111-Caddo-Lake-Dr,-San-Antonio,-TX-78244",
"formattedAddress": "7111 Caddo Lake Dr, San Antonio, TX 78244",
"longitude": -98.347262,
"latitude": 29.468919,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1595,
"publishedDate": "2024-06-07T00:00:00.000Z",
"distance": 0.5484,
"daysOld": 85,
"correlation": 0.8928,
"address": "7111 Caddo Lake Dr",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1623.0,
"yearBuilt": 2003
},
{
"id": "6810-Still-Lk,-San-Antonio,-TX-78244",
"formattedAddress": "6810 Still Lk, San Antonio, TX 78244",
"longitude": -98.352326,
"latitude": 29.473414,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1590,
"publishedDate": "2024-08-30T04:17:44.738Z",
"distance": 0.1841,
"daysOld": 1,
"correlation": 0.8924,
"address": "6810 Still Lk",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1667.0,
"yearBuilt": null
},
{
"id": "7226-Caddo-Lake-Dr,-San-Antonio,-TX-78244",
"formattedAddress": "7226 Caddo Lake Dr, San Antonio, TX 78244",
"longitude": -98.345204,
"latitude": 29.470221,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1750,
"publishedDate": "2024-01-08T00:00:00.000Z",
"distance": 0.5466,
"daysOld": 236,
"correlation": 0.8923,
"address": "7226 Caddo Lake Dr",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1623.0,
"yearBuilt": 2002
},
{
"id": "6810-Still-Lake-Dr,-San-Antonio,-TX-78244",
"formattedAddress": "6810 Still Lake Dr, San Antonio, TX 78244",
"longitude": -98.352323,
"latitude": 29.473409,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1940,
"publishedDate": "2024-06-25T03:23:21.858Z",
"distance": 0.1844,
"daysOld": 67,
"correlation": 0.8922,
"address": "6810 Still Lake Dr",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1667.0,
"yearBuilt": null
},
{
"id": "5223-Fountain-Lk,-San-Antonio,-TX-78244",
"formattedAddress": "5223 Fountain Lk, San Antonio, TX 78244",
"longitude": -98.350801,
"latitude": 29.472528,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1549,
"publishedDate": "2024-06-27T01:55:28.878Z",
"distance": 0.2406,
"daysOld": 65,
"correlation": 0.8887,
"address": "5223 Fountain Lk",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1518.0,
"yearBuilt": 1986
},
{
"id": "5314-Lake,-Golden,-San-Antonio,-TX-78244",
"formattedAddress": "5314 Lake, Golden, San Antonio, TX 78244",
"longitude": -98.351457,
"latitude": 29.474394,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1595,
"publishedDate": "2023-12-07T00:00:00.000Z",
"distance": 0.1085,
"daysOld": 268,
"correlation": 0.888,
"address": "5314 Lake, Golden",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1504.0,
"yearBuilt": 1986
},
{
"id": "7002-Flint-Vw,-San-Antonio,-TX-78244",
"formattedAddress": "7002 Flint Vw, San Antonio, TX 78244",
"longitude": -98.350358,
"latitude": 29.479673,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1735,
"publishedDate": "2024-08-30T00:00:00.000Z",
"distance": 0.2649,
"daysOld": 1,
"correlation": 0.8852,
"address": "7002 Flint Vw",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1496.0,
"yearBuilt": null
},
{
"id": "4907-Lakebend-East-Dr,-San-Antonio,-TX-78244",
"formattedAddress": "4907 Lakebend East Dr, San Antonio, TX 78244",
"longitude": -98.348191,
"latitude": 29.471408,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1750,
"publishedDate": "2024-08-30T04:07:23.740Z",
"distance": 0.3709,
"daysOld": 1,
"correlation": 0.877,
"address": "4907 Lakebend East Dr",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1764.0,
"yearBuilt": 1996
},
{
"id": "5522-Grand-Lake-Dr,-San-Antonio,-TX-78244",
"formattedAddress": "5522 Grand Lake Dr, San Antonio, TX 78244",
"longitude": -98.351166,
"latitude": 29.477292,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1650,
"publishedDate": "2024-05-11T00:00:00.000Z",
"distance": 0.0935,
"daysOld": 112,
"correlation": 0.8769,
"address": "5522 Grand Lake Dr",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1797.0,
"yearBuilt": 1974
},
{
"id": "6706-Lake-Glen-St,-San-Antonio,-TX-78244",
"formattedAddress": "6706 Lake Glen St, San Antonio, TX 78244",
"longitude": -98.356696,
"latitude": 29.473508,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1650,
"publishedDate": "2024-02-02T00:00:00.000Z",
"distance": 0.359,
"daysOld": 211,
"correlation": 0.8742,
"address": "6706 Lake Glen St",
"bedrooms": 3,
"bathrooms": 2,
"propertyType"...
curl --location --request GET 'https://zylalabs.com/api/4682/us+real+estate+rental+estimator+api/5779/get+estimation?address=5500 Grand Lake Drive, San Antonio, TX, 78244&propertyType=Condo&bedrooms=2&bathrroms=2&squareFootage=1600' --header 'Authorization: Bearer YOUR_API_KEY'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long term commitments. One click upgrade/downgrade or cancellation. No questions asked.
It provides accurate rental estimates for properties across the United States based on comprehensive data analysis.
Real estate developers, investors, property managers, and anyone involved in property analysis and investment decision-making.
The type of the property. Supported values are: Single Family, Condo, Townhouse, Multi-Family, Apartment. [optional]
No, the API covers rental estimations for properties across the entire United States. It offers nationwide coverage, enabling users to obtain accurate rental price predictions for different states, cities, and neighborhoods.
The API's data is regularly updated to ensure accuracy and relevance. It relies on real-time market data and historical trends, with updates occurring at frequent intervals to reflect the dynamic nature of the real estate market.
Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.
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