Empower your real estate ventures with our US Rental Estimation API, your key to accurate property projections. Harnessing vast data, this powerful tool calculates rental estimates, enabling precise investment decisions. Seamlessly integrate into your platforms, transforming property analysis. Stay ahead in the market with unparalleled insights, shaping your rental success.
Run in Postman
{
"rent": 1430,
"rentRangeLow": 1160,
"rentRangeHigh": 1690,
"listings": [
{
"id": "602-Lockhart-St,-Pittsburgh,-PA-15212",
"formattedAddress": "602 Lockhart St, Pittsburgh, PA 15212",
"longitude": -79.998772,
"latitude": 40.452801,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1950,
"publishedDate": "2025-01-06T03:02:31.033Z",
"distance": 0.5103,
"daysOld": 2,
"correlation": 0.9867,
"address": "602 Lockhart St",
"bedrooms": 2,
"bathrooms": 1.5,
"propertyType": "single-family",
"squareFootage": 1563.0,
"yearBuilt": null
},
{
"id": "2219-Wilson-Ave,-Pittsburgh,-PA-15214",
"formattedAddress": "2219 Wilson Ave, Pittsburgh, PA 15214",
"longitude": -80.013157,
"latitude": 40.465325,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15214",
"price": 950,
"publishedDate": "2024-12-13T03:59:34.890Z",
"distance": 1.0134,
"daysOld": 26,
"correlation": 0.9428,
"address": "2219 Wilson Ave",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": 1480.0,
"yearBuilt": null
},
{
"id": "1516-Hetzel-St,-Pittsburgh,-PA-15212",
"formattedAddress": "1516 Hetzel St, Pittsburgh, PA 15212",
"longitude": -79.987935,
"latitude": 40.467465,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1900,
"publishedDate": "2024-07-29T03:47:39.148Z",
"distance": 0.664,
"daysOld": 163,
"correlation": 0.9298,
"address": "1516 Hetzel St",
"bedrooms": 2,
"bathrooms": 1.5,
"propertyType": "single-family",
"squareFootage": null,
"yearBuilt": null
},
{
"id": "2019-E-Beckert-Ave,-Apt-2,-Pittsburgh,-PA-15212",
"formattedAddress": "2019 E Beckert Ave, Apt 2, Pittsburgh, PA 15212",
"longitude": -79.981529,
"latitude": 40.470699,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1350,
"publishedDate": "2024-04-27T00:00:00.000Z",
"distance": 1.0528,
"daysOld": 256,
"correlation": 0.9281,
"address": "2019 E Beckert Ave, Apt 2",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": 1390.0,
"yearBuilt": null
},
{
"id": "1807-Sundeman-St,-Pittsburgh,-PA-15212",
"formattedAddress": "1807 Sundeman St, Pittsburgh, PA 15212",
"longitude": -79.981438,
"latitude": 40.467366,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1400,
"publishedDate": "2025-01-07T04:02:35.960Z",
"distance": 0.9045,
"daysOld": 1,
"correlation": 0.9267,
"address": "1807 Sundeman St",
"bedrooms": 2,
"bathrooms": 1.5,
"propertyType": "single-family",
"squareFootage": null,
"yearBuilt": 1930
},
{
"id": "1725-Brighton-Rd,-Pittsburgh,-PA-15212",
"formattedAddress": "1725 Brighton Rd, Pittsburgh, PA 15212",
"longitude": -80.016634,
"latitude": 40.458994,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1250,
"publishedDate": "2024-04-17T00:00:00.000Z",
"distance": 1.1202,
"daysOld": 266,
"correlation": 0.9241,
"address": "1725 Brighton Rd",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": 1370.0,
"yearBuilt": null
},
{
"id": "2005-Straubs-Ln,-Pittsburgh,-PA-15212",
"formattedAddress": "2005 Straubs Ln, Pittsburgh, PA 15212",
"longitude": -79.980675,
"latitude": 40.468151,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1195,
"publishedDate": "2024-10-02T04:02:54.633Z",
"distance": 0.9691,
"daysOld": 98,
"correlation": 0.9165,
"address": "2005 Straubs Ln",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": 1300.0,
"yearBuilt": null
},
{
"id": "832-Blossom-Way,-Pittsburgh,-PA-15212",
"formattedAddress": "832 Blossom Way, Pittsburgh, PA 15212",
"longitude": -79.996526,
"latitude": 40.457265,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1495,
"publishedDate": "2025-01-07T04:21:38.364Z",
"distance": 0.1796,
"daysOld": 1,
"correlation": 0.9139,
"address": "832 Blossom Way",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": null,
"yearBuilt": null
},
{
"id": "1729-Warren-St,-Pittsburgh,-PA-15212",
"formattedAddress": "1729 Warren St, Pittsburgh, PA 15212",
"longitude": -80.002915,
"latitude": 40.462124,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1350,
"publishedDate": "2024-12-13T03:59:34.910Z",
"distance": 0.4307,
"daysOld": 26,
"correlation": 0.9114,
"address": "1729 Warren St",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": 2117.0,
"yearBuilt": null
},
{
"id": "1213-Veto-St,-Pittsburgh,-PA-15212",
"formattedAddress": "1213 Veto St, Pittsburgh, PA 15212",
"longitude": -80.009569,
"latitude": 40.455895,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1350,
"publishedDate": "2024-07-20T04:08:53.887Z",
"distance": 0.7925,
"daysOld": 172,
"correlation": 0.9041,
"address": "1213 Veto St",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": 1200.0,
"yearBuilt": null
},
{
"id": "1970-W-Beckert-St,-Pittsburgh,-PA-15214",
"formattedAddress": "1970 W Beckert St, Pittsburgh, PA 15214",
"longitude": -79.982445,
"latitude": 40.469818,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15214",
"price": 1250,
"publishedDate": "2024-10-29T04:08:39.965Z",
"distance": 0.9755,
"daysOld": 71,
"correlation": 0.9016,
"address": "1970 W Beckert St",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": null,
"yearBuilt": null
},
{
"id": "920-Yetta-Ave,-Pittsburgh,-PA-15212",
"formattedAddress": "920 Yetta Ave, Pittsburgh, PA 15212",
"longitude": -79.996156,
"latitude": 40.461373,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1495,
"publishedDate": "2024-11-13T03:15:55.625Z",
"distance": 0.1223,
"daysOld": 56,
"correlation": 0.8902,
"address": "920 Yetta Ave",
"bedrooms": 2,
"bathrooms": 2.5,
"propertyType": "single-family",
"squareFootage": 1196.0,
"yearBuilt": 1939
},
{
"id": "1101-Linden-Pl,-Unit-First,-Pittsburgh,-PA-15212",
"formattedAddress": "1101 Linden Pl, Unit First, Pittsburgh, PA 15212",
"longitude": -80.000809,
"latitude": 40.456745,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1400,
"publishedDate": "2024-10-18T04:00:03.389Z",
"distance": 0.3521,
"daysOld": 82,
"correlation": 0.8887,
"address": "1101 Linden Pl, Unit First",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": 1050.0,
"yearBuilt": null
},
{
"id": "1425-Firth-St,-Pittsburgh,-PA-15212",
"formattedAddress": "1425 Firth St, Pittsburgh, PA 15212",
"longitude": -79.987672,
"latitude": 40.462727,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1700,
"publishedDate": "2024-07-22T03:54:20.253Z",
"distance": 0.4558,
"daysOld": 170,
"correlation": 0.8833,
"address": "1425 Firth St",
"bedrooms": 3,
"bathrooms": 1.5,
"propertyType": "single-family",
"squareFootage": 1700.0}],"_note":"Response truncated for documentation purposes"}
curl --location --request GET 'https://zylalabs.com/api/2827/us+rental+estimation+api/2939/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'
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 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.
|
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Introducing our groundbreaking US Rental Estimation API, a sophisticated tool designed to revolutionize the real estate landscape. Powered by cutting-edge algorithms and vast datasets, this API provides unparalleled accuracy in estimating rental prices across diverse American markets. Whether you're a property developer, investor, or real estate agent, our API offers invaluable insights to inform your decisions.
With seamless integration capabilities, our API becomes an integral part of your applications, websites, or software platforms. Gain a competitive edge by offering your users precise rental estimates, enabling them to make well-informed choices about properties. Our API doesn't just provide numbers; it offers a deep analysis of market trends, neighborhood dynamics, and property features, ensuring a comprehensive understanding of the rental landscape.
What sets our API apart is its adaptability. Whether you're dealing with single-family homes, apartments, commercial spaces, or vacation rentals, our API delivers tailored estimations. It accounts for various factors such as location, amenities, local demand, and historical data, ensuring the most accurate projections possible.
Stay ahead in the real estate game with our US Rental Estimation API. Embrace the future of property analysis, and empower your users with the insights they need to thrive in the rental market.
Pass the address that you want to lookup, property type, and other filters that will allow you to get rental estimates.
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.
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.
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.
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.
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.
Besides the number of API calls available for the plan, there are no other limitations.
The US Rental Estimation API is a powerful tool that utilizes advanced algorithms and extensive datasets to provide accurate rental price estimates for properties across the United States. It offers developers a programmatic interface to integrate precise rental estimations into their applications, websites, and software solutions.
The API calculates rental estimates by analyzing various factors including property location, size, amenities, historical rental data, and local market demand. Advanced algorithms process this information to generate accurate and up-to-date rental price predictions.
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 a list of comparable property listings. Each listing provides detailed information such as address, price, property type, and features like bedrooms and bathrooms.
Key fields in the response include "rent" (estimated rent), "rentRangeLow" and "rentRangeHigh" (price range), and "listings" (array of comparable properties). Each listing contains fields like "formattedAddress," "price," "bedrooms," and "propertyType."
The response data is structured in a JSON format. It includes a top-level object with rental estimates and an array of listings. Each listing object contains specific property details, making it easy to parse and utilize in applications.
Users can customize their requests using parameters such as "address," "propertyType," and additional filters like "bedrooms" or "bathrooms." This allows for tailored rental estimates based on specific property characteristics.
The endpoint provides rental estimates, price ranges, and detailed listings of comparable properties. It covers various property types, including single-family homes, condos, and apartments, across the entire United States.
Data accuracy is maintained through the use of advanced algorithms that analyze real-time market data and historical trends. Continuous updates and quality checks ensure that the rental estimates reflect current market conditions.
Typical use cases include real estate investment analysis, property listing optimization, financial planning for relocations, and market research. Users can leverage the data to make informed decisions regarding rental properties.
Users can utilize the returned data by integrating it into their applications for displaying rental estimates, comparing properties, or analyzing market trends. The structured format allows for easy extraction and presentation of relevant information.
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.
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