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)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": 2830,
"rentRangeLow": 2000,
"rentRangeHigh": 3670,
"listings": [
{
"id": "1342-S-York-St,-Unit-1342,-Denver,-CO-80210",
"formattedAddress": "1342 S York St, Unit 1342, Denver, CO 80210",
"longitude": -104.96027,
"latitude": 39.692112,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 2250,
"publishedDate": "2023-07-04T00:00:00.000Z",
"distance": 0.33070066338106874,
"daysOld": 135,
"correlation": 0.9697,
"address": "1342 S York St, Unit 1342",
"bedrooms": 2,
"bathrooms": 2,
"propertyType": "condo",
"squareFootage": 1454.0,
"yearBuilt": null
},
{
"id": "480-S-Marion-Street-Pkwy,-Unit-1006,-Denver,-CO-80209",
"formattedAddress": "480 S Marion Street Pkwy, Unit 1006, Denver, CO 80209",
"longitude": -104.97161,
"latitude": 39.708193,
"city": "Denver",
"state": "CO",
"zipcode": "80209",
"price": 2900,
"publishedDate": "2023-11-04T00:00:00.000Z",
"distance": 1.0770244945819445,
"daysOld": 12,
"correlation": 0.9247,
"address": "480 S Marion Street Pkwy, Unit 1006",
"bedrooms": 2,
"bathrooms": 2,
"propertyType": "condo",
"squareFootage": 1272.0,
"yearBuilt": null
},
{
"id": "460-S-Marion-Pkwy-To-Wash-Park,-Unit-Next,-Denver,-CO-80209",
"formattedAddress": "460 S Marion Pkwy To Wash Park, Unit Next, Denver, CO 80209",
"longitude": -104.971611,
"latitude": 39.708195,
"city": "Denver",
"state": "CO",
"zipcode": "80209",
"price": 2250,
"publishedDate": "2023-11-07T00:00:00.000Z",
"distance": 1.077163045693896,
"daysOld": 9,
"correlation": 0.9247,
"address": "460 S Marion Pkwy To Wash Park, Unit Next",
"bedrooms": 2,
"bathrooms": 2,
"propertyType": "condo",
"squareFootage": 1272.0,
"yearBuilt": null
},
{
"id": "775-S-York-St,-Rm-C,-Denver,-CO-80209",
"formattedAddress": "775 S York St, Rm C, Denver, CO 80209",
"longitude": -104.960838,
"latitude": 39.702454,
"city": "Denver",
"state": "CO",
"zipcode": "80209",
"price": 1650,
"publishedDate": "2023-10-26T00:00:00.000Z",
"distance": 0.4305775041577223,
"daysOld": 21,
"correlation": 0.8971,
"address": "775 S York St, Rm C",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "condo",
"squareFootage": 1300.0,
"yearBuilt": null
},
{
"id": "552-S-Franklin-St,-Denver,-CO-80209",
"formattedAddress": "552 S Franklin St, Denver, CO 80209",
"longitude": -104.968323,
"latitude": 39.706551,
"city": "Denver",
"state": "CO",
"zipcode": "80209",
"price": 2400,
"publishedDate": "2023-06-10T00:00:00.000Z",
"distance": 0.8774150642200749,
"daysOld": 159,
"correlation": 0.8641,
"address": "552 S Franklin St",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "condo",
"squareFootage": 1155.0,
"yearBuilt": null
},
{
"id": "1101-S-Gaylord-St,-Apt-3,-Denver,-CO-80210",
"formattedAddress": "1101 S Gaylord St, Apt 3, Denver, CO 80210",
"longitude": -104.962049,
"latitude": 39.696436,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 2950,
"publishedDate": "2023-08-07T00:00:00.000Z",
"distance": 0.2100342836611724,
"daysOld": 101,
"correlation": 0.8463,
"address": "1101 S Gaylord St, Apt 3",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "condo",
"squareFootage": 924.0,
"yearBuilt": 1954
},
{
"id": "1912-S-University-Blvd,-Apt-104,-Denver,-CO-80210",
"formattedAddress": "1912 S University Blvd, Apt 104, Denver, CO 80210",
"longitude": -104.958933,
"latitude": 39.68166,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 1525,
"publishedDate": "2023-08-16T00:00:00.000Z",
"distance": 1.0339360788299237,
"daysOld": 92,
"correlation": 0.8427,
"address": "1912 S University Blvd, Apt 104",
"bedrooms": 2,
"bathrooms": 1.5,
"propertyType": "condo",
"squareFootage": 875.0,
"yearBuilt": null
},
{
"id": "1015-S-Corona-St,-Denver,-CO-80209",
"formattedAddress": "1015 S Corona St, Denver, CO 80209",
"longitude": -104.974901,
"latitude": 39.69809,
"city": "Denver",
"state": "CO",
"zipcode": "80209",
"price": 4900,
"publishedDate": "2023-07-05T00:00:00.000Z",
"distance": 0.8997200221197434,
"daysOld": 134,
"correlation": 0.8316,
"address": "1015 S Corona St",
"bedrooms": 2,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1621.0,
"yearBuilt": 1911
},
{
"id": "391-S-Humboldt-St,-Denver,-CO-80209",
"formattedAddress": "391 S Humboldt St, Denver, CO 80209",
"longitude": -104.970194,
"latitude": 39.709497,
"city": "Denver",
"state": "CO",
"zipcode": "80209",
"price": 4000,
"publishedDate": "2023-07-01T00:00:00.000Z",
"distance": 1.1001021236670567,
"daysOld": 138,
"correlation": 0.8205,
"address": "391 S Humboldt St",
"bedrooms": 3,
"bathrooms": 2,
"propertyType": "condo",
"squareFootage": 2102.0,
"yearBuilt": null
},
{
"id": "2295-E-Asbury-Ave,-Apt-101,-Denver,-CO-80210",
"formattedAddress": "2295 E Asbury Ave, Apt 101, Denver, CO 80210",
"longitude": -104.960934,
"latitude": 39.680582,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 1395,
"publishedDate": "2023-11-15T00:00:00.000Z",
"distance": 1.1177368491131372,
"daysOld": 1,
"correlation": 0.8186,
"address": "2295 E Asbury Ave, Apt 101",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "condo",
"squareFootage": 885.0,
"yearBuilt": null
},
{
"id": "1695-S-Garfield-St,-Denver,-CO-80210",
"formattedAddress": "1695 S Garfield St, Denver, CO 80210",
"longitude": -104.944499,
"latitude": 39.685866,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 2650,
"publishedDate": "2023-07-05T00:00:00.000Z",
"distance": 1.036998534138021,
"daysOld": 134,
"correlation": 0.8158,
"address": "1695 S Garfield St",
"bedrooms": 2,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1496.0,
"yearBuilt": null
},
{
"id": "506-S-Franklin-St,-Denver,-CO-80209",
"formattedAddress": "506 S Franklin St, Denver, CO 80209",
"longitude": -104.968375,
"latitude": 39.707241,
"city": "Denver",
"state": "CO",
"zipcode": "80209",
"price": 2800,
"publishedDate": "2023-08-30T00:00:00.000Z",
"distance": 0.9170004821112386,
"daysOld": 78,
"correlation": 0.8106,
"address": "506 S Franklin St",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "condo",
"squareFootage": 800.0,
"yearBuilt": null
},
{
"id": "1140-S-Emerson-St,-Denver,-CO-80210",
"formattedAddress": "1140 S Emerson St, Denver, CO 80210",
"longitude": -104.97661,
"latitude": 39.695828,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 3200,
"publishedDate": "2023-10-18T00:00:00.000Z",
"distance": 0.9861482534359728,
"daysOld": 29,
"correlation": 0.7964,
"address": "1140 S Emerson St",
"bedrooms": 2,
"bathrooms": 2,
"propertyType": "single-family",
"squareFootage": 1355.0,
"yearBuilt": null
},
{
"id": "1145-S-Clarkson-St,-Denver,-CO-80210",
"formattedAddress": "1145 S Clarkson St, Denver, CO 80210",
"longitude": -104.978427,
"latitude": 39.695764,
"city": "Denver",
"state": "CO",
"zipcode": "80210",
"price": 3800,
"publishedDate": "2023-11-13T00:00:00.000Z",
"distance": 1.0829525099063284,
"daysOld": 3,
"correlation": 0.7904,
...
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'
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 REST 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 commitments. One click upgrade/downgrade or cancellation. No questions asked.
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.
Zyla API Hub is, in other words, an API MarketPlace. An all-in-one solution for your developing needs. You will be accessing our extended list of APIs with only your user. Also, you won't need to worry about storing API keys, only one API key for all our products is needed.
Prices are listed in USD. 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 with paying by card, just contact us at [email protected]
Sometimes depending on the bank's fraud protection settings, a bank will decline the validation charge we make when we attempt to be sure a card is valid. We recommend first contacting your bank to see if they are blocking our charges. If more help is needed, please contact [email protected] and our team will investigate further
Prices are based on a recurring monthly subscription depending on the plan selected β plus overage fees applied when a developer exceeds a planβs quota limits. In this example, you'll see the base plan amount as well as a quota limit of API requests. Be sure to notice the overage fee because you will be charged for each additional request.
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.
Just go to the pricing page of that API and select the plan that you want to upgrade to. You will only be charged the full amount of that plan, but you will be enjoying the features that the plan offers right away.
Yes, absolutely. If you want to cancel your plan, simply go to your account and cancel on the Billing page. Upgrades, downgrades, and cancellations are immediate.
You can contact us through our chat channel to receive immediate assistance. We are always online from 9 am to 6 pm (GMT+1). If you reach us after that time, we will be in contact when we are back. Also you can contact us via email to [email protected]
Service Level:
100%
Response Time:
1,264ms
Service Level:
92%
Response Time:
319ms
Service Level:
100%
Response Time:
190ms
Service Level:
100%
Response Time:
76ms
Service Level:
100%
Response Time:
615ms
Service Level:
100%
Response Time:
68ms
Service Level:
100%
Response Time:
220ms
Service Level:
100%
Response Time:
1,372ms
Service Level:
100%
Response Time:
651ms
Service Level:
100%
Response Time:
369ms
Service Level:
100%
Response Time:
175ms
Service Level:
100%
Response Time:
193ms
Service Level:
100%
Response Time:
458ms
Service Level:
100%
Response Time:
88ms
Service Level:
100%
Response Time:
3,333ms
Service Level:
100%
Response Time:
615ms
Service Level:
100%
Response Time:
769ms