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:
Single 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": 1590,
"rentRangeLow": 1470,
"rentRangeHigh": 1710,
"listings": [
{
"id": "5521-Allbrook,-San-Antonio,-TX-78244",
"formattedAddress": "5521 Allbrook, San Antonio, TX 78244",
"longitude": -98.349184,
"latitude": 29.478306,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1575,
"publishedDate": "2024-12-10T05:14:03.749Z",
"distance": 0.2116,
"daysOld": 1,
"correlation": 0.8999,
"address": "5521 Allbrook",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1589.0,
"yearBuilt": 2000
},
{
"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": 118,
"correlation": 0.8982,
"address": "7127 Still Hollow Dr",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1578.0000000000002,
"yearBuilt": 1999
},
{
"id": "7111-Mountain-Brook-Dr,-San-Antonio,-TX-78244",
"formattedAddress": "7111 Mountain Brook Dr, San Antonio, TX 78244",
"longitude": -98.347054,
"latitude": 29.474853,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1650,
"publishedDate": "2024-12-10T04:20:36.058Z",
"distance": 0.2751,
"daysOld": 1,
"correlation": 0.8973,
"address": "7111 Mountain Brook Dr",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1578.0,
"yearBuilt": 1998
},
{
"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": 268,
"correlation": 0.8959,
"address": "5015 Crestwood Hill Dr",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1578.0,
"yearBuilt": 2001
},
{
"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": 187,
"correlation": 0.8924,
"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": "2024-09-12T04:40:40.273Z",
"distance": 0.1841,
"daysOld": 90,
"correlation": 0.8921,
"address": "6810 Still Lk",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1667.0,
"yearBuilt": 1986
},
{
"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": 169,
"correlation": 0.8919,
"address": "6810 Still Lake Dr",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1667.0,
"yearBuilt": null
},
{
"id": "6614-Lake-Clfs,-San-Antonio,-TX-78244",
"formattedAddress": "6614 Lake Clfs, San Antonio, TX 78244",
"longitude": -98.357452,
"latitude": 29.475702,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1695,
"publishedDate": "2024-11-05T04:05:18.826Z",
"distance": 0.3624,
"daysOld": 36,
"correlation": 0.8915,
"address": "6614 Lake Clfs",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1548.9999999999998,
"yearBuilt": null
},
{
"id": "6810-Park-Hvn,-San-Antonio,-TX-78244",
"formattedAddress": "6810 Park Hvn, San Antonio, TX 78244",
"longitude": -98.348277,
"latitude": 29.468325,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1625,
"publishedDate": "2024-07-26T04:25:28.028Z",
"distance": 0.5616,
"daysOld": 138,
"correlation": 0.8885,
"address": "6810 Park Hvn",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1551.0,
"yearBuilt": 1995
},
{
"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": 167,
"correlation": 0.8884,
"address": "5223 Fountain Lk",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1518.0,
"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": 1340,
"publishedDate": "2024-10-15T04:54:29.724Z",
"distance": 0.2649,
"daysOld": 57,
"correlation": 0.8851,
"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": 1695,
"publishedDate": "2024-12-10T05:07:27.837Z",
"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": 214,
"correlation": 0.8766,
"address": "5522 Grand Lake Dr",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1797.0,
"yearBuilt": 1974
},
{
"id": "7310-Adaja-Riv,-San-Antonio,-TX-78244",
"formattedAddress": "7310 Adaja Riv, San Antonio, TX 78244",
"longitude": -98.345817,
"latitude": 29.481346,
"city": "San Antonio",
"state": "TX",
"zipcode": "78244",
"price": 1495,
"publishedDate": "2024-11-11T05:12:12.382Z",
"distance": 0.5034,
"daysOld": 30,
"correlation": 0.8732,
"address": "7310 Adaja Riv",
"bedrooms": 3,
"bathrooms": 2,
"prope...
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.
Prices are listed in USD (United States Dollar), EUR (Euro), CAD (Canadian Dollar), AUD (Australian Dollar), and GBP (British Pound). We accept all major debit and credit cards. Our payment system uses the latest security technology and is powered by Stripe, one of the worldβs most reliable payment companies. If you have any trouble paying by card, just contact us at [email protected]
Additionally, if you already have an active subscription in any of these currencies (USD, EUR, CAD, AUD, GBP), that currency will remain for subsequent subscriptions. You can change the currency at any time as long as you don't have any active subscriptions.
The local currency shown on the pricing page is based on the country of your IP address and is provided for reference only. The actual prices are in USD (United States Dollar). When you make a payment, the charge will appear on your card statement in USD, even if you see the equivalent amount in your local currency on our website. This means you cannot pay directly with your local currency.
Occasionally, a bank may decline the charge due to its fraud protection settings. We suggest reaching out to your bank initially to check if they are blocking our charges. Also, you can access the Billing Portal and change the card associated to make the payment. If these does not work and you need further assistance, please contact our team at [email protected]
Prices are determined by a recurring monthly or yearly subscription, depending on the chosen plan.
API calls are deducted from your plan based on successful requests. Each plan comes with a specific number of calls that you can make per month. Only successful calls, indicated by a Status 200 response, will be counted against your total. This ensures that failed or incomplete requests do not impact your monthly quota.
Zyla API Hub works on a recurring monthly subscription system. Your billing cycle will start the day you purchase one of the paid plans, and it will renew the same day of the next month. So be aware to cancel your subscription beforehand if you want to avoid future charges.
To upgrade your current subscription plan, simply go to the pricing page of the API and select the plan you want to upgrade to. The upgrade will be instant, allowing you to immediately enjoy the features of the new plan. Please note that any remaining calls from your previous plan will not be carried over to the new plan, so be aware of this when upgrading. You will be charged the full amount of the new plan.
To check how many API calls you have left for the current month, look at the βX-Zyla-API-Calls-Monthly-Remainingβ header. For example, if your plan allows 1000 requests per month and you've used 100, this header will show 900.
To see the maximum number of API requests your plan allows, check the βX-Zyla-RateLimit-Limitβ header. For instance, if your plan includes 1000 requests per month, this header will display 1000.
The βX-Zyla-RateLimit-Resetβ header shows the number of seconds until your rate limit resets. This tells you when your request count will start fresh. For example, if it displays 3600, it means 3600 seconds are left until the limit resets.
Yes, you can cancel your plan anytime by going to your account and selecting the cancellation option on the Billing page. Please note that upgrades, downgrades, and cancellations take effect immediately. Additionally, upon cancellation, you will no longer have access to the service, even if you have remaining calls left in your quota.
You can contact us through our chat channel to receive immediate assistance. We are always online from 8 am to 5 pm (EST). If you reach us after that time, we will get back to you as soon as possible. Additionally, you can contact us via email at [email protected]
Service Level:
83%
Response Time:
351ms
Service Level:
100%
Response Time:
332ms
Service Level:
92%
Response Time:
379ms
Service Level:
95%
Response Time:
2,074ms
Service Level:
100%
Response Time:
1,744ms
Service Level:
100%
Response Time:
76ms
Service Level:
100%
Response Time:
577ms
Service Level:
100%
Response Time:
260ms
Service Level:
100%
Response Time:
412ms
Service Level:
100%
Response Time:
286ms
Service Level:
100%
Response Time:
209ms
Service Level:
100%
Response Time:
117ms
Service Level:
100%
Response Time:
193ms
Service Level:
100%
Response Time:
220ms
Service Level:
100%
Response Time:
1,278ms
Service Level:
100%
Response Time:
352ms
Service Level:
100%
Response Time:
397ms