US Real Estate Rental Estimator API

API ID 4682

Explore the US Real Estate Rental Estimator API, your gateway to precise property projections. Leveraging extensive data, this tool provides accurate rental estimates for informed investment decisions. Seamlessly integrate into your platforms to optimize property analysis and stay ahead in the competitive real estate market.

100% uptime 293 ms avg response

API Documentation

Endpoints

Request

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 property
  • Condo: 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)
Endpoint ID: 5779
GET https://zylalabs.com/api/4682/us+real+estate+rental+estimator+api/5779/get+estimation
INPUT PARAMETERS

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

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

address
propertyType
bedrooms
bathrroms
squareFootage
API EXAMPLE RESPONSE
JSON
{"listings":[{"address":"5512 Lochmoor","bathrooms":2,"bedrooms":2,"city":"San Antonio","correlation":0.9908,"daysOld":176,"distance":0.0991,"formattedAddress":"5512 Lochmoor, San Antonio, TX 78244","id":"5512-Lochmoor,-San-Antonio,-TX-78244","latitude":29.47695,"longitude":-98.35025,"price":1200,"propertyType":"apartment","publishedDate":"2025-07-07T05:21:57.299Z","squareFootage":970.0,"state":"TX","yearBuilt":null,"zipcode":"78244"},{"address":"5721 Lochmoor","bathrooms":2,"bedrooms":2,"city":"San Antonio","correlation":0.936,"daysOld":64,"distance":0.2795,"formattedAddress":"5721 Lochmoor, San Antonio, TX 78244","id":"5721-Lochmoor,-San-Antonio,-TX-78244","latitude":29.479965,"longitude":-98.350807,"price":1100,"propertyType":"apartment","publishedDate":"2025-10-27T04:17:14.263Z","squareFootage":null,"state":"TX","yearBuilt":null,"zipcode":"78244"},{"address":"5513 Lochmoor, Apt 1","bathrooms":1,"bedrooms":2,"city":"San Antonio","correlation":0.9035,"daysOld":1,"distance":0.0843,"formattedAddress":"5513 Lochmoor, Apt 1, San Antonio, TX 78244","id":"5513-Lochmoor,-Apt-1,-San-Antonio,-TX-78244","latitude":29.476994,"longitude":-98.350697,"price":895,"propertyType":"apartment","publishedDate":"2025-12-29T03:10:45.390Z","squareFootage":800.0000000000001,"state":"TX","yearBuilt":1984,"zipcode":"78244"},{"address":"7219 Golf Way, Unit 2","bathrooms":2,"bedrooms":3,"city":"San Antonio","correlation":0.8548,"daysOld":1,"distance":0.4609,"formattedAddress":"7219 Golf Way, Unit 2, San Antonio, TX 78244","id":"7219-Golf-Way,-Unit-2,-San-Antonio,-TX-78244","latitude":29.480319,"longitude":-98.345652,"price":1325,"propertyType":"apartment","publishedDate":"2025-12-29T03:37:01.495Z","squareFootage":1220.0,"state":"TX","yearBuilt":null,"zipcode":"78244"},{"address":"5418 Shadow Lake Dr","bathrooms":2,"bedrooms":3,"city":"San Antonio","correlation":0.849,"daysOld":1,"distance":0.0539,"formattedAddress":"5418 Shadow Lake Dr, San Antonio, TX 78244","id":"5418-Shadow-Lake-Dr,-San-Antonio,-TX-78244","latitude":29.475813,"longitude":-98.352321,"price":1675,"propertyType":"apartment","publishedDate":"2025-12-29T03:16:56.551Z","squareFootage":1300.0,"state":"TX","yearBuilt":null,"zipcode":"78244"},{"address":"7335 Golf Vista Blvd","bathrooms":2,"bedrooms":2,"city":"San Antonio","correlation":0.8478,"daysOld":1,"distance":0.4593,"formattedAddress":"7335 Golf Vista Blvd, San Antonio, TX 78244","id":"7335-Golf-Vista-Blvd,-San-Antonio,-TX-78244","latitude":29.477826,"longitude":-98.344121,"price":1125,"propertyType":"multi-family","publishedDate":"2025-12-29T03:30:05.149Z","squareFootage":1009.9999999999999,"state":"TX","yearBuilt":2003,"zipcode":"78244"},{"address":"7311 Golf Vista Blvd","bathrooms":2,"bedrooms":2,"city":"San Antonio","correlation":0.8471,"daysOld":252,"distance":0.4498,"formattedAddress":"7311 Golf Vista Blvd, San Antonio, TX 78244","id":"7311-Golf-Vista-Blvd,-San-Antonio,-TX-78244","latitude":29.478179,"longitude":-98.344419,"price":1225,"propertyType":"multi-family","publishedDate":"2025-04-22T04:57:57.334Z","squareFootage":1010.0,"state":"TX","yearBuilt":2003,"zipcode":"78244"},{"address":"7339 Golf Vista Blvd","bathrooms":2,"bedrooms":2,"city":"San Antonio","correlation":0.847,"daysOld":126,"distance":0.4821,"formattedAddress":"7339 Golf Vista Blvd, San Antonio, TX 78244","id":"7339-Golf-Vista-Blvd,-San-Antonio,-TX-78244","latitude":29.47995,"longitude":-98.344875,"price":1225,"propertyType":"multi-family","publishedDate":"2025-08-26T03:43:50.284Z","squareFootage":1010.0,"state":"TX","yearBuilt":2002,"zipcode":"78244"},{"address":"7307 Golf Vista Blvd","bathrooms":2,"bedrooms":2,"city":"San Antonio","correlation":0.8435,"daysOld":244,"distance":0.4775,"formattedAddress":"7307 Golf Vista Blvd, San Antonio, TX 78244","id":"7307-Golf-Vista-Blvd,-San-Antonio,-TX-78244","latitude":29.480558,"longitude":-98.345525,"price":1250,"propertyType":"multi-family","publishedDate":"2025-04-30T04:45:20.064Z","squareFootage":1024.0,"state":"TX","yearBuilt":2002,"zipcode":"78244"},{"address":"7223 Golf Way, # 1","bathrooms":2,"bedrooms":3,"city":"San Antonio","correlation":0.8378,"daysOld":125,"distance":0.4622,"formattedAddress":"7223 Golf Way, # 1, San Antonio, TX 78244","id":"7223-Golf-Way,---1,-San-Antonio,-TX-78244","latitude":29.480213,"longitude":-98.34552,"price":1495,"propertyType":"apartment","publishedDate":"2025-08-27T04:06:07.211Z","squareFootage":null,"state":"TX","yearBuilt":null,"zipcode":"78244"},{"address":"7371 Golf Vista Blvd, Unit 7371","bathrooms":2,"bedrooms":2,"city":"San Antonio","correlation":0.8376,"daysOld":257,"distance":0.484,"formattedAddress":"7371 Golf Vista Blvd, Unit 7371, San Antonio, TX 78244","id":"7371-Golf-Vista-Blvd,-Unit-7371,-San-Antonio,-TX-78244","latitude":29.477425,"longitude":-98.343582,"price":1225,"propertyType":"townhouse","publishedDate":"2025-04-17T04:27:53.830Z","squareFootage":1050.0,"state":"TX","yearBuilt":null,"zipcode":"78244"},{"address":"7223 Golf Way, Unit 1","bathrooms":2,"bedrooms":3,"city":"San Antonio","correlation":0.8375,"daysOld":224,"distance":0.4622,"formattedAddress":"7223 Golf Way, Unit 1, San Antonio, TX 78244","id":"7223-Golf-Way,-Unit-1,-San-Antonio,-TX-78244","latitude":29.480213,"longitude":-98.34552,"price":1575,"propertyType":"apartment","publishedDate":"2025-05-20T04:54:39.001Z","squareFootage":null,"state":"TX","yearBuilt":null,"zipcode":"78244"},{"address":"7106 Lynn Lake Dr","bathrooms":2,"bedrooms":2,"city":"San Antonio","correlation":0.8312,"daysOld":236,"distance":0.2823,"formattedAddress":"7106 Lynn Lake Dr, San Antonio, TX 78244","id":"7106-Lynn-Lake-Dr,-San-Antonio,-TX-78244","latitude":29.472865,"longitude":-98.348388,"price":1350,"propertyType":"single-family","publishedDate":"2025-05-08T02:57:50.131Z","squareFootage":1096.0,"state":"TX","yearBuilt":1997,"zipcode":"78244"},{"address":"6962 Lakeview Dr","bathrooms":2.5,"bedrooms":3,"city":"San Antonio","correlation":0.8231,"daysOld":201,"distance":0.124,"formattedAddress":"6962 Lakeview Dr, San Antonio, TX 78244","id":"6962-Lakeview-Dr,-San-Antonio,-TX-78244","latitude":29.47616,"longitude":-98.349396,"price":1350,"propertyType":"apartment","publishedDate":"2025-06-12T05:04:22.694Z","squareFootage":1302.9999999999998,"state":"TX","yearBuilt":null,"zipcode":"78244"},{"address":"7030 Lakeview Dr","bathrooms":2.5,"bedrooms":3,"city":"San Antonio","correlation":0.8197,"daysOld":1,"distance":0.1977,"formattedAddress":"7030 Lakeview Dr, San Antonio, TX 78244","id":"7030-Lakeview-Dr,-San-Antonio,-TX-78244","latitude":29.476647,"longitude":-98.348255,"price":1375,"propertyType":"apartment","publishedDate":"2025-12-29T03:21:58.011Z","squareFootage":1324.0,"state":"TX","yearBuilt":null,"zipcode":"78244"},{"address":"7002 Silver Canyon Rd","bathrooms":2,"bedrooms":2,"city":"San Antonio","correlation":0.8112,"daysOld":120,"distance":0.1628,"formattedAddress":"7002 Silver Canyon Rd, San Antonio, TX 78244","id":"7002-Silver-Canyon-Rd,-San-Antonio,-TX-78244","latitude":29.47812,"longitude":-98.350361,"price":1200,"propertyType":"townhouse","publishedDate":"2025-09-01T03:57:17.964Z","squareFootage":1221.0,"state":"TX","yearBuilt":1984,"zipcode":"78244"},{"address":"5526 Allbrook","bathrooms":1.5,"bedrooms":2,"city":"San Antonio","correlation":0.8087,"daysOld":1,"distance":0.2477,"formattedAddress":"5526 Allbrook, San Antonio, TX 78244","id":"5526-Allbrook,-San-Antonio,-TX-78244","latitude":29.478709,"longitude":-98.348803,"price":1300,"propertyType":"multi-family","publishedDate":"2025-12-29T03:20:48.690Z","squareFootage":1096.0,"state":"TX","yearBuilt":1985,"zipcode":"78244"},{"address":"5528 Allbrook","bathrooms":1.5,"bedrooms":2,"city":"San Antonio","correlation":0.8084,"daysOld":117,"distance":0.2457,"formattedAddress":"5528 Allbrook, San Antonio, TX 78244","id":"5528-Allbrook,-San-Antonio,-TX-78244","latitude":29.478691,"longitude":-98.348831,"price":1300,"propertyType":"multi-family","publishedDate":"2025-09-04T03:21:12.716Z","squareFootage":1096.0,"state":"TX","yearBuilt":1985,"zipcode":"78244"},{"address":"7006 Silver Cyn","bathrooms":1,"bedrooms":2,"city":"San Antonio","correlation":0.8067,"daysOld":53,"distance":0.1717,"formattedAddress":"7006 Silver Cyn, San Antonio, TX 78244","id":"7006-Silver-Cyn,-San-Antonio,-TX-78244","latitude":29.478169,"longitude":-98.350138,"price":1095,"propertyType":"multi-family","publishedDate":"2025-11-07T03:48:19.809Z","squareFootage":1000.0,"state":"TX","yearBuilt":1984,"zipcode":"78244"},{"address":"7003 Silver Cyn","bathrooms":1,"bedrooms":2,"city":"San Antonio","correlation":0.7985,"daysOld":1,"distance":0.192,"formattedAddress":"7003 Silver Cyn, San Antonio, TX 78244","id":"7003-Silver-Cyn,-San-Antonio,-TX-78244","latitude":29.478573,"longitude":-98.350361,"price":1250,"propertyType":"multi-family","publishedDate":"2025-12-29T03:19:56.269Z","squareFootage":966.0,"state":"TX","yearBuilt":1984,"zipcode":"78244"}],"rent":1270,"rentRangeHigh":1440,"rentRangeLow":1110}
Get Estimation — CODE SNIPPETS

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=apartment&bedrooms=2&bathrroms=2&squareFootage=1000' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API Access Key & Authentication

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 US Real Estate Rental Estimator API simply include your bearer token in the Authorization header.

Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Overview

About the API:  

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.

 

What this API receives and what your API provides (input/output)?

Pass the address that you want to lookup, property type, and other filters that will allow you to get rental estimates. 

 

What are the most common use cases of this API?

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

 

Are there any limitations to your plans?

Besides the number of API calls available for the plan, there are no other limitations.

US Real Estate Rental Estimator API FAQs

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.

The Get Estimation endpoint returns rental estimates, including a primary rent value, a low and high rent range, and detailed property listings. Each listing includes attributes like address, price, number of bedrooms, bathrooms, and property type.

Key fields in the response include "rent," "rentRangeLow," "rentRangeHigh," and an array of "listings" containing details such as "formattedAddress," "price," "bedrooms," "bathrooms," and "propertyType."

The response data is structured in JSON format, with the main rental estimate at the top level and a nested "listings" array that contains individual property details, allowing for easy parsing and access to specific information.

Users can customize their requests by passing parameters such as "address," "propertyType," and additional filters like "bedrooms" or "bathrooms" to refine the rental estimates based on specific criteria.

The endpoint provides rental estimates, property details, and market insights, including estimated rental prices, property characteristics, and comparative listings in the specified area.

Data accuracy is maintained through the use of advanced algorithms that analyze real-time market data and historical trends, ensuring that rental estimates reflect current market conditions and property values.

Typical use cases include real estate investment analysis, property pricing strategies for landlords, budgeting for potential renters, and market trend analysis for real estate professionals.

Users can leverage the returned data to make informed decisions about property investments, set competitive rental prices, and analyze market trends by comparing estimates and actual listings in their target areas.

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