Unlock the power of predictive real estate with our United States Rental Estimation API. Simply input an address, specify property type, and customize filters to receive accurate rental estimates. Whether you're a property investor, realtor, or curious explorer, our API transforms data into insights, guiding your rental decisions with precision.
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{
"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}],"_note":"Response truncated for documentation purposes"}
curl --location --request GET 'https://zylalabs.com/api/2954/united+states+rental+estimation+api/3105/estimate?address=5500 Grand Lake Drive, San Antonio, TX, 78244&propertyType=apartment&bedrooms=2&bathrooms=2&squareFootage=1000' --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 United States Rental Estimation 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.
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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.
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.
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.
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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.
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