Embark on a journey of informed real estate decisions with our United States Rental Estimation API. Designed to empower users with accurate insights, this API simplifies the rental estimation process. By providing an address, specifying the property type, and applying customizable filters, users gain access to detailed rental estimates.
This API caters to a diverse audience, from property investors assessing potential returns to realtors seeking precise market evaluations. It seamlessly integrates into applications, platforms, and tools, enhancing their functionality with up-to-date rental projections.
Behind the scenes, our API leverages robust algorithms and a vast database to analyze local market trends, property characteristics, and other relevant factors. This ensures that the rental estimates generated are not only accurate but reflective of the dynamic real estate landscape.
Whether you're exploring new investment opportunities, advising clients on pricing strategies, or simply curious about rental values, the United States Rental Estimation API equips you with the data-driven insights needed to make informed decisions. Stay ahead in the real estate game, backed by a tool that transforms raw data into actionable intelligence, enhancing your understanding of rental landscapes across the United States.
Pass the address that you want to look up, property type, and other filters that will allow you to get rental estimates.
Property Investment Analysis:
Realtor Market Evaluations:
Financial Planning for Renters:
Urban Development Planning:
Real Estate App Integration:
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)Estimate - 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 |
bathrooms |
[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": 2140,
"rentRangeLow": 1570,
"rentRangeHigh": 2720,
"listings": [
{
"id": "3333-E-Florida-Unit-Ave,-Apt-100,-Denver,-CO-80210",
"formattedAddress": "3333 E Florida Unit Ave, Apt 100, Denver, CO 80210",
"longitude": -104.946243,
"latitude": 39.68977,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 2550,
"publishedDate": "2024-11-14T04:19:55.213Z",
"distance": 0.7884,
"daysOld": 30,
"correlation": 0.9793,
"address": "3333 E Florida Unit Ave, Apt 100",
"bedrooms": 2,
"bathrooms": 2,
"propertyType": "condo",
"squareFootage": 1542.0,
"yearBuilt": null
},
{
"id": "675-S-University-Blvd,-Denver,-CO-80209",
"formattedAddress": "675 S University Blvd, Denver, CO 80209",
"longitude": -104.959724,
"latitude": 39.704575,
"city": "Denver",
"state": "CO",
"zipcode": "80209",
"price": 2400,
"publishedDate": "2024-12-13T03:48:11.727Z",
"distance": 0.5587,
"daysOld": 1,
"correlation": 0.9349,
"address": "675 S University Blvd",
"bedrooms": 2,
"bathrooms": 2,
"propertyType": "condo",
"squareFootage": 1220.0,
"yearBuilt": null
},
{
"id": "2700-E-Louisiana-Ave,-Apt-202,-Denver,-CO-80210",
"formattedAddress": "2700 E Louisiana Ave, Apt 202, Denver, CO 80210",
"longitude": -104.954348,
"latitude": 39.692731,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 2700,
"publishedDate": "2024-12-13T04:54:07.941Z",
"distance": 0.3338,
"daysOld": 1,
"correlation": 0.9233,
"address": "2700 E Louisiana Ave, Apt 202",
"bedrooms": 2,
"bathrooms": 3,
"propertyType": "condo",
"squareFootage": 1439.0,
"yearBuilt": 2008
},
{
"id": "2225-Buchtel-Blvd,-Apt-901,-Denver,-CO-80210",
"formattedAddress": "2225 Buchtel Blvd, Apt 901, Denver, CO 80210",
"longitude": -104.961451,
"latitude": 39.683594,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 1800,
"publishedDate": "2024-12-13T03:48:11.770Z",
"distance": 0.9167,
"daysOld": 1,
"correlation": 0.9209,
"address": "2225 Buchtel Blvd, Apt 901",
"bedrooms": 2,
"bathrooms": 2,
"propertyType": "condo",
"squareFootage": 1162.0,
"yearBuilt": 1967
},
{
"id": "2225-Buchtel-Blvd,-Apt-601,-Denver,-CO-80210",
"formattedAddress": "2225 Buchtel Blvd, Apt 601, Denver, CO 80210",
"longitude": -104.961451,
"latitude": 39.683594,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 2037,
"publishedDate": "2024-12-12T04:34:17.829Z",
"distance": 0.9167,
"daysOld": 2,
"correlation": 0.9208,
"address": "2225 Buchtel Blvd, Apt 601",
"bedrooms": 2,
"bathrooms": 2,
"propertyType": "condo",
"squareFootage": 1162.0,
"yearBuilt": null
},
{
"id": "2225-Buchtel-Blvd,-Denver,-CO-80210",
"formattedAddress": "2225 Buchtel Blvd, Denver, CO 80210",
"longitude": -104.961451,
"latitude": 39.683594,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 1525,
"publishedDate": "2024-09-25T03:02:33.164Z",
"distance": 0.9167,
"daysOld": 80,
"correlation": 0.9206,
"address": "2225 Buchtel Blvd",
"bedrooms": 2,
"bathrooms": 2,
"propertyType": "condo",
"squareFootage": 1162.0,
"yearBuilt": null
},
{
"id": "2225-Buchtel-Blvd-S,-Unit-201,-Denver,-CO-80210",
"formattedAddress": "2225 Buchtel Blvd S, Unit 201, Denver, CO 80210",
"longitude": -104.961462,
"latitude": 39.6836,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 1445,
"publishedDate": "2024-04-07T00:00:00.000Z",
"distance": 0.9164,
"daysOld": 251,
"correlation": 0.9201,
"address": "2225 Buchtel Blvd S, Unit 201",
"bedrooms": 2,
"bathrooms": 2,
"propertyType": "condo",
"squareFootage": 1162.0,
"yearBuilt": null
},
{
"id": "1449-S-University-Blvd,-Apt-3,-Denver,-CO-80210",
"formattedAddress": "1449 S University Blvd, Apt 3, Denver, CO 80210",
"longitude": -104.959686,
"latitude": 39.690228,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 1800,
"publishedDate": "2024-09-11T03:39:55.378Z",
"distance": 0.4483,
"daysOld": 94,
"correlation": 0.9036,
"address": "1449 S University Blvd, Apt 3",
"bedrooms": 2,
"bathrooms": 2,
"propertyType": "condo",
"squareFootage": 1000.0,
"yearBuilt": null
},
{
"id": "2225-Buchtel-Blvd,-Apt-212,-Denver,-CO-80210",
"formattedAddress": "2225 Buchtel Blvd, Apt 212, Denver, CO 80210",
"longitude": -104.961451,
"latitude": 39.683594,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 1677,
"publishedDate": "2024-11-14T04:14:05.916Z",
"distance": 0.9167,
"daysOld": 30,
"correlation": 0.89,
"address": "2225 Buchtel Blvd, Apt 212",
"bedrooms": 2,
"bathrooms": 2,
"propertyType": "condo",
"squareFootage": 955.0,
"yearBuilt": null
},
{
"id": "2225-Buchtel-Unit-Blvd,-Apt-412,-Denver,-CO-80210",
"formattedAddress": "2225 Buchtel Unit Blvd, Apt 412, Denver, CO 80210",
"longitude": -104.961451,
"latitude": 39.683594,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 2071,
"publishedDate": "2024-11-26T04:28:36.628Z",
"distance": 0.9167,
"daysOld": 18,
"correlation": 0.8872,
"address": "2225 Buchtel Unit Blvd, Apt 412",
"bedrooms": 2,
"bathrooms": 2,
"propertyType": "condo",
"squareFootage": 936.0,
"yearBuilt": null
},
{
"id": "2225-Buchtel-Blvd,-Apt-912,-Denver,-CO-80210",
"formattedAddress": "2225 Buchtel Blvd, Apt 912, Denver, CO 80210",
"longitude": -104.961451,
"latitude": 39.683594,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 1988,
"publishedDate": "2024-12-10T04:50:18.732Z",
"distance": 0.9167,
"daysOld": 4,
"correlation": 0.8872,
"address": "2225 Buchtel Blvd, Apt 912",
"bedrooms": 2,
"bathrooms": 2,
"propertyType": "condo",
"squareFootage": 936.0,
"yearBuilt": null
},
{
"id": "1125-S-Race-St,-Unit-106,-Denver,-CO-80210",
"formattedAddress": "1125 S Race St, Unit 106, Denver, CO 80210",
"longitude": -104.964392,
"latitude": 39.696152,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 3250,
"publishedDate": "2024-09-16T02:54:29.996Z",
"distance": 0.3358,
"daysOld": 89,
"correlation": 0.8578,
"address": "1125 S Race St, Unit 106",
"bedrooms": 1,
"bathrooms": 1.5,
"propertyType": "condo",
"squareFootage": 1481.0,
"yearBuilt": 2008
},
{
"id": "1912-S-University-Sep-2024-Blvd,-Unit-104,-Denver,-CO-80210",
"formattedAddress": "1912 S University Sep 2024 Blvd, Unit 104, Denver, CO 80210",
"longitude": -104.958961,
"latitude": 39.681656,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 1525,
"publishedDate": "2024-10-14T04:11:47.914Z",
"distance": 1.0343,
"daysOld": 61,
"correlation": 0.8524,
"address": "1912 S University Sep 2024 Blvd, Unit 104",
"bedrooms": 2,
"bathrooms": 1.5,
"propertyType": "condo",
"squareFootage": 875.0,
"yearBuilt": null
},
{
"id": "1912-S-University-Blvd,-Apt-104,-Denver,-CO-80210",
"formattedAddress": "1912 S University Blvd, Apt 104, Denver, CO 80210",
"longitude": -104.958961,
"latitude": 39.681656,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 1525,
"publishedDate": "2024-08-31T00:00:00.000Z",
"distance": 1.0343,
"daysOld": 105,
"correlation": 0.8522,
...
curl --location --request GET 'https://zylalabs.com/api/2954/united+states+rental+estimation+api/3105/estimate?address=1098 S Josephine St, Denver, CO, 80209&propertyType=condo&bedrooms=2&bathrooms=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 commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The API employs a sophisticated algorithm that takes into account various factors, including property type, local market trends, historical rental data, and specific user-defined filters. This comprehensive approach ensures accurate and up-to-date rental estimates.
Users can customize estimates by applying filters such as the number of bedrooms, square footage, property condition, and amenities. These filters allow for a detailed and tailored analysis of the rental potential based on specific property characteristics.
At the moment the API is focused on residential rentals.
The API is regularly updated with the latest market data to ensure accuracy. It leverages a combination of real-time data feeds and historical trends, providing users with reliable rental estimates reflective of the dynamic nature of the real estate market.
Yes, the API is designed for seamless integration into various platforms, including mobile applications and websites. Detailed documentation and support are provided to facilitate easy implementation for developers.
The Estimate endpoint returns rental estimates, including a primary rent value, a low and high rent range, and a list of comparable property listings. Each listing includes details such as address, price, property type, and additional features like bedrooms and bathrooms.
Key fields in the response include "rent" (estimated rent), "rentRangeLow" (lowest estimated rent), "rentRangeHigh" (highest estimated rent), and "listings" (array of comparable properties with details like address, price, and property type).
The response data is structured in JSON format. It includes a top-level object with rental estimates and a nested "listings" array containing individual property details, making it easy to parse and utilize in applications.
Users can input parameters such as "address," "propertyType," and various filters like "bedrooms" and "squareFootage" to customize their rental estimate requests, allowing for tailored results based on specific needs.
The Estimate endpoint provides information on estimated rental values, rental ranges, and detailed listings of comparable properties, including their prices, locations, and characteristics, helping users make informed decisions.
The API sources its data from a combination of real estate databases, market analysis, and historical rental trends. This multi-faceted approach helps ensure the accuracy and reliability of the rental estimates provided.
Users can leverage the returned data to compare rental prices, assess market trends, and make informed decisions about property investments or rental agreements. The detailed listings allow for targeted analysis of specific properties.
Typical use cases include property investment analysis, realtor market evaluations, financial planning for renters, urban development planning, and enhancing real estate app functionalities, all benefiting from accurate rental estimates.
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