Get Rent Estimates and comparable rental listings from properties all along the US. This API covers residential and commercial properties as well.
Run in Postman
{"listings":[{"address":"2619 Sleepy Glade St","bathrooms":2,"bedrooms":4,"city":"San Antonio","correlation":0.9834,"daysOld":182,"distance":0.4561,"formattedAddress":"2619 Sleepy Glade St, San Antonio, TX 78224","id":"2619-Sleepy-Glade-St,-San-Antonio,-TX-78224","latitude":29.347879,"longitude":-98.547848,"price":1750,"propertyType":"single-family","publishedDate":"2025-09-02T03:30:50.394Z","squareFootage":1472.0,"state":"TX","yearBuilt":1966,"zipcode":"78224"},{"address":"127 Hopi St","bathrooms":2,"bedrooms":4,"city":"San Antonio","correlation":0.9828,"daysOld":90,"distance":0.4937,"formattedAddress":"127 Hopi St, San Antonio, TX 78211","id":"127-Hopi-St,-San-Antonio,-TX-78211","latitude":29.349991,"longitude":-98.553472,"price":1600,"propertyType":"single-family","publishedDate":"2025-12-03T03:32:38.339Z","squareFootage":1494.0,"state":"TX","yearBuilt":2025,"zipcode":"78211"},{"address":"235 Kelsey Ave, Apt 4","bathrooms":1,"bedrooms":1,"city":"San Antonio","correlation":0.9813,"daysOld":66,"distance":0.5406,"formattedAddress":"235 Kelsey Ave, Apt 4, San Antonio, TX 78211","id":"235-Kelsey-Ave,-Apt-4,-San-Antonio,-TX-78211","latitude":29.358863,"longitude":-98.554459,"price":755,"propertyType":"single-family","publishedDate":"2025-12-27T03:36:10.546Z","squareFootage":436.0,"state":"TX","yearBuilt":null,"zipcode":"78211"},{"address":"2726 Coldstream St","bathrooms":1,"bedrooms":3,"city":"San Antonio","correlation":0.9809,"daysOld":243,"distance":0.516,"formattedAddress":"2726 Coldstream St, San Antonio, TX 78224","id":"2726-Coldstream-St,-San-Antonio,-TX-78224","latitude":29.347435,"longitude":-98.550015,"price":1400,"propertyType":"single-family","publishedDate":"2025-07-03T04:20:02.848Z","squareFootage":1180.0,"state":"TX","yearBuilt":1965,"zipcode":"78224"},{"address":"223 Kelsey Ave, Apt 1","bathrooms":1,"bedrooms":1,"city":"San Antonio","correlation":0.9807,"daysOld":92,"distance":0.5538,"formattedAddress":"223 Kelsey Ave, Apt 1, San Antonio, TX 78211","id":"223-Kelsey-Ave,-Apt-1,-San-Antonio,-TX-78211","latitude":29.359238,"longitude":-98.55442,"price":795,"propertyType":"single-family","publishedDate":"2025-12-01T04:00:14.468Z","squareFootage":650.0,"state":"TX","yearBuilt":1980,"zipcode":"78211"},{"address":"235 Kelsey Ave, Apt 2","bathrooms":1,"bedrooms":1,"city":"San Antonio","correlation":0.98,"daysOld":260,"distance":0.5406,"formattedAddress":"235 Kelsey Ave, Apt 2, San Antonio, TX 78211","id":"235-Kelsey-Ave,-Apt-2,-San-Antonio,-TX-78211","latitude":29.358852,"longitude":-98.554466,"price":735,"propertyType":"single-family","publishedDate":"2025-06-16T05:04:13.354Z","squareFootage":436.0,"state":"TX","yearBuilt":null,"zipcode":"78211"},{"address":"239 Peabody Ave, Unit 3","bathrooms":1,"bedrooms":1,"city":"San Antonio","correlation":0.9751,"daysOld":126,"distance":0.7137,"formattedAddress":"239 Peabody Ave, Unit 3, San Antonio, TX 78211","id":"239-Peabody-Ave,-Unit-3,-San-Antonio,-TX-78211","latitude":29.364632,"longitude":-98.548897,"price":799,"propertyType":"single-family","publishedDate":"2025-10-28T03:35:14.813Z","squareFootage":null,"state":"TX","yearBuilt":1952,"zipcode":"78211"},{"address":"239 Peabody Ave, Unit 1","bathrooms":2,"bedrooms":3,"city":"San Antonio","correlation":0.9747,"daysOld":177,"distance":0.7137,"formattedAddress":"239 Peabody Ave, Unit 1, San Antonio, TX 78211","id":"239-Peabody-Ave,-Unit-1,-San-Antonio,-TX-78211","latitude":29.364632,"longitude":-98.548897,"price":1500,"propertyType":"single-family","publishedDate":"2025-09-07T03:16:34.982Z","squareFootage":null,"state":"TX","yearBuilt":1952,"zipcode":"78211"},{"address":"610 Fenfield Ave Unit B","bathrooms":1,"bedrooms":2,"city":"San Antonio","correlation":0.9746,"daysOld":127,"distance":0.7294,"formattedAddress":"610 Fenfield Ave Unit B, San Antonio, TX 78211","id":"610-Fenfield-Ave-Unit-B,-San-Antonio,-TX-78211","latitude":29.362417,"longitude":-98.554977,"price":1175,"propertyType":"single-family","publishedDate":"2025-10-27T04:01:48.970Z","squareFootage":1200.0,"state":"TX","yearBuilt":null,"zipcode":"78211"},{"address":"345 King Ave","bathrooms":1,"bedrooms":1,"city":"San Antonio","correlation":0.9743,"daysOld":198,"distance":0.7226,"formattedAddress":"345 King Ave, San Antonio, TX 78211","id":"345-King-Ave,-San-Antonio,-TX-78211","latitude":29.364029,"longitude":-98.551819,"price":1000,"propertyType":"single-family","publishedDate":"2025-08-17T03:55:26.186Z","squareFootage":600.0,"state":"TX","yearBuilt":null,"zipcode":"78211"},{"address":"610 Fenfield Ave Unit A","bathrooms":2,"bedrooms":3,"city":"San Antonio","correlation":0.9742,"daysOld":176,"distance":0.7294,"formattedAddress":"610 Fenfield Ave Unit A, San Antonio, TX 78211","id":"610-Fenfield-Ave-Unit-A,-San-Antonio,-TX-78211","latitude":29.362417,"longitude":-98.554977,"price":1495,"propertyType":"single-family","publishedDate":"2025-09-08T03:54:57.949Z","squareFootage":1700.0,"state":"TX","yearBuilt":null,"zipcode":"78211"},{"address":"622 Fenfield Ave","bathrooms":2,"bedrooms":3,"city":"San Antonio","correlation":0.9739,"daysOld":162,"distance":0.741,"formattedAddress":"622 Fenfield Ave, San Antonio, TX 78211","id":"622-Fenfield-Ave,-San-Antonio,-TX-78211","latitude":29.362346,"longitude":-98.555358,"price":1450,"propertyType":"single-family","publishedDate":"2025-09-22T02:50:24.225Z","squareFootage":1147.0,"state":"TX","yearBuilt":1955,"zipcode":"78211"},{"address":"3210 Pitluk Ave, Unit 101","bathrooms":2,"bedrooms":3,"city":"San Antonio","correlation":0.9737,"daysOld":14,"distance":0.7794,"formattedAddress":"3210 Pitluk Ave, Unit 101, San Antonio, TX 78211","id":"3210-Pitluk-Ave,-Unit-101,-San-Antonio,-TX-78211","latitude":29.353064,"longitude":-98.559898,"price":975,"propertyType":"single-family","publishedDate":"2026-02-17T02:15:55.726Z","squareFootage":980.0,"state":"TX","yearBuilt":null,"zipcode":"78211"},{"address":"1519 Whitman Ave","bathrooms":1,"bedrooms":3,"city":"San Antonio","correlation":0.9736,"daysOld":118,"distance":0.76,"formattedAddress":"1519 Whitman Ave, San Antonio, TX 78211","id":"1519-Whitman-Ave,-San-Antonio,-TX-78211","latitude":29.36425,"longitude":-98.541395,"price":1475,"propertyType":"single-family","publishedDate":"2025-11-05T03:45:00.782Z","squareFootage":1092.0,"state":"TX","yearBuilt":1946,"zipcode":"78211"},{"address":"146 Caddo","bathrooms":1,"bedrooms":2,"city":"San Antonio","correlation":0.9733,"daysOld":78,"distance":0.7769,"formattedAddress":"146 Caddo, San Antonio, TX 78211","id":"146-Caddo,-San-Antonio,-TX-78211","latitude":29.345065,"longitude":-98.554168,"price":1200,"propertyType":"single-family","publishedDate":"2025-12-15T03:05:04.534Z","squareFootage":770.0,"state":"TX","yearBuilt":null,"zipcode":"78211"},{"address":"1412 Whitman Ave, Unit 2","bathrooms":1,"bedrooms":2,"city":"San Antonio","correlation":0.9725,"daysOld":211,"distance":0.772,"formattedAddress":"1412 Whitman Ave, Unit 2, San Antonio, TX 78211","id":"1412-Whitman-Ave,-Unit-2,-San-Antonio,-TX-78211","latitude":29.363754,"longitude":-98.540015,"price":1220,"propertyType":"single-family","publishedDate":"2025-08-04T03:33:36.294Z","squareFootage":720.0,"state":"TX","yearBuilt":1948,"zipcode":"78211"},{"address":"419 Peabody Ave, Unit 3","bathrooms":1,"bedrooms":1,"city":"San Antonio","correlation":0.9725,"daysOld":1,"distance":0.8162,"formattedAddress":"419 Peabody Ave, Unit 3, San Antonio, TX 78211","id":"419-Peabody-Ave,-Unit-3,-San-Antonio,-TX-78211","latitude":29.365079,"longitude":-98.552918,"price":650,"propertyType":"single-family","publishedDate":"2026-03-02T03:06:48.711Z","squareFootage":500.0,"state":"TX","yearBuilt":1950,"zipcode":"78211"},{"address":"419 Peabody Ave, Unit 2","bathrooms":1,"bedrooms":2,"city":"San Antonio","correlation":0.9725,"daysOld":1,"distance":0.8162,"formattedAddress":"419 Peabody Ave, Unit 2, San Antonio, TX 78211","id":"419-Peabody-Ave,-Unit-2,-San-Antonio,-TX-78211","latitude":29.365079,"longitude":-98.552918,"price":750,"propertyType":"single-family","publishedDate":"2026-03-02T03:06:48.821Z","squareFootage":650.0000000000001,"state":"TX","yearBuilt":1950,"zipcode":"78211"},{"address":"3632 Sw Military Dr, Trlr 14","bathrooms":1,"bedrooms":2,"city":"San Antonio","correlation":0.97,"daysOld":1,"distance":0.8911,"formattedAddress":"3632 Sw Military Dr, Trlr 14, San Antonio, TX 78211","id":"3632-Sw-Military-Dr,-Trlr-14,-San-Antonio,-TX-78211","latitude":29.358246,"longitude":-98.561188,"price":795,"propertyType":"single-family","publishedDate":"2026-03-02T03:25:52.668Z","squareFootage":700.0,"state":"TX","yearBuilt":null,"zipcode":"78211"},{"address":"3632 Sw Military Dr, Trlr 2","bathrooms":2,"bedrooms":3,"city":"San Antonio","correlation":0.97,"daysOld":1,"distance":0.8911,"formattedAddress":"3632 Sw Military Dr, Trlr 2, San Antonio, TX 78211","id":"3632-Sw-Military-Dr,-Trlr-2,-San-Antonio,-TX-78211","latitude":29.358246,"longitude":-98.561188,"price":995,"propertyType":"single-family","publishedDate":"2026-03-02T03:25:52.683Z","squareFootage":900.0,"state":"TX","yearBuilt":null,"zipcode":"78211"}],"rent":1130,"rentRangeHigh":1450,"rentRangeLow":800}
curl --location --request GET 'https://zylalabs.com/api/65/rental+estimate+api/138/rental+estimate?address=7355 Barlite Blvd, San Antonio, TX, San Antonio, TX&propertyType=apartment' --header 'Authorization: Bearer YOUR_API_KEY'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Rental Estimate API simply include your bearer token in the Authorization header.
| Header | Description |
|---|---|
Authorization
|
Required
Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.
|
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
(Save 2 months with annual billing 🎉)
Trusted by leading companies
About the API:
This API provides on-demand access to real-time property rent estimates and comparable rental listings. We have nationwide coverage for nearly all residential and commercial properties in the US.
This API will receive information like the address from which you want to get rental information. Latitude and longitude if you do not have the address.
Also, you will select the property type, the number of bedrooms and bathrooms, the total living area size of the property, and in square feet you will be receiving a listing of different properties that will fit those characteristics.
Rent Estimate API is the perfect tool for landlords and property managers. It allows you to return a rent estimate and similar rental listings for an address or lat/long coordinate. This tool will improve the estimate accuracy by providing property feature parameters.
Ideal for those real estate agencies that want to get a view of rental prices in a determined area. Also, it will help to set a rental information database to use in the future and compare how much the rents have changed over the years.
Besides API call limitations per month:
The Rental Estimate API provides real-time property rent estimates and comparable rental listings for residential and commercial properties in the US. It offers on-demand access to valuable information about rental prices, allowing developers to integrate this data into their applications or websites.
The rent estimates provided by the Rental Estimate API are based on comprehensive data and algorithms that take into account various factors such as property location, size, amenities, and market trends. While the estimates are designed to be as accurate as possible, it's important to note that they are estimates and may not reflect the exact rental price for a specific property.
The Rental Estimate API collects data from various sources, including public records, property listings, real estate databases, and market trends. The API's algorithms analyze this data to generate rent estimates and identify comparable rental listings, providing users with valuable insights into the rental market.
Yes, the Rental Estimate API covers both residential and commercial properties across the United States. Whether you need rent estimates for apartments, houses, offices, retail spaces, or other types of properties, the API offers nationwide coverage for a wide range of real estate categories.
The Rental Estimate API is designed to be easily integrated into applications or websites. It typically follows a RESTful API architecture, allowing developers to make HTTP requests to the API endpoints and receive the rent estimates and comparable rental listings as responses. Developers can refer to the API documentation for detailed instructions on how to use the API and incorporate the data into their projects.
The Rental Estimate API returns rent estimates, rent ranges, and comparable rental listings. Each listing includes details such as property address, price, number of bedrooms and bathrooms, square footage, and property type.
Key fields in the response include "rent" (estimated rent), "rentRangeLow" and "rentRangeHigh" (price range), and "listings" (array of comparable properties with details like address, price, and property type).
The response data is structured in JSON format, with the main object containing rent estimates and an array of listings. Each listing includes fields such as "id," "formattedAddress," "price," and property characteristics.
Users can customize requests using parameters like "address," "latitude," "longitude," "propertyType," "bedrooms," "bathrooms," and "squareFootage" to refine their search for rental estimates.
The endpoint provides rent estimates, comparable rental listings, and detailed property information, including location, price, size, and property type, for both residential and commercial properties.
Data accuracy is maintained through continuous updates from various sources, including public records and real estate databases. Algorithms analyze this data to ensure reliable rent estimates and comparable listings.
Typical use cases include helping landlords set competitive rental prices, assisting real estate agencies in market analysis, and enabling property managers to evaluate rental trends in specific areas.
Users can leverage the returned data to compare rental prices, identify market trends, and make informed decisions about pricing and property management by analyzing the details of comparable listings.
To obtain your API key, first sign in to your account and navigate to the API you want to use. From the API's Pricing section, choose a plan and complete the subscription process. Once subscribed, return to the API page and you will see your API Access Key displayed at the top of the documentation page. You can use this key to authenticate your requests.
You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.
The free trial lasts for 7 days and allows you to make up to 50 API requests.
No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.
Yes. If the API offers a free trial, you will see a "Free 7-Day Trial" option in its Pricing section. The trial lasts for 7 days and allows up to 50 API requests, enabling you to evaluate the API before subscribing to a paid plan.
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.
You can monitor your API usage through the response headers included with every request:
x-zyla-api-calls-monthly-used: Shows the total number of API requests you have used during the current billing period.
x-zyla-api-calls-monthly-remaining: Shows the number of API requests you have remaining for the current billing period.
Yes, you can cancel your subscription at any time. Simply go to the Pricing section of the API you're subscribed to and click the "Unsubscribe" button.
Please note that upgrades, downgrades, and cancellations take effect immediately. Once your subscription is canceled, access to the service will end immediately, regardless of any remaining API calls in your quota.
Please have a look at our Refund Policy: https://zylalabs.com/terms#refund
