Are you a landlord who wants to optimize the rent collection process? Read this article and learn how to do it with a rental estimate API for landlords!
Landlords are in constant contact with tenants, who pay them rent for the use of their property. Rent collection can be challenging, especially when tenants are behind on their payments. In addition, landlords may need to inspect the property and make repairs from time to time. However, this can be difficult if tenants are not cooperative.
To streamline the rent collection process and make it more efficient, landlords may use an Rental Estimate API for landlords. This is a tool that can provide estimates of rent based on property data such as number of bedrooms and bathrooms, square footage, and other factors. Using this information, an API can provide an estimate of the monthly rent a landlord could expect to receive for a given property.
This can be helpful when negotiating with tenants, as it provides a starting point for negotiations. It can also be helpful when determining how much to charge for rental properties that are currently vacant.
How Can A Rental Estimate API Help You?
These APIs can also help you determine whether your rental prices are competitive with other properties in your area. They can also help you determine whether you’re charging too much or too little for your rental properties.
In addition, these APIs can help you track the performance of your rental properties over time. This can be useful for both landlords and investors who want to monitor their rental property investments.
If you’re a landlord and want to take advantage of this technology, we recommend using Rental Estimate API. This is an easy-to-use and reliable tool that will help you estimate the rent for any property in the United States.
This API is perfect for real estate agents or anyone who needs to estimate the value of a property based on its attributes. It returns an estimate of the rental price for a given property based on its location (latitude and longitude), number of bedrooms, bathrooms, living area size in square feet, and other attributes.
You’ll get information such as the estimated monthly rent in USD; the estimated monthly mortgage payment in USD; and the estimated monthly cost of utilities in USD. All you need is an API key, which you can get by registering for Zyla Labs’ Rental Estimate API.
How To Use This
After registering for Zyla Labs’ Rental Estimate API, you’ll receive your own personal API key. You’ll also have access to the API endpoint; which allows you to make API calls to Rental Estimate API.
To make an API call, simply include your bearer token in the Authorization header; then provide the address of the property you want to estimate; along with its latitude and longitude; as well as any other attributes you want included in your estimate.
And there you have it! In just a few seconds you’ll get all the information you need about how much money a landlord could get from renting out one of their properties!
How To Use Rental Estimate API
1- Go to Rental Estimate API and simply click on the button “Sign up for free” to start using the API.
2- After signing up in Zyla API Hub, you’ll be given your personal API key. Using this one-of-a-kind combination of numbers and letters, you’ll be able to use, connect, and manage APIs!
3- Employ the different API endpoints depending on what you are looking for.
4- With your API key, you can already integrate the API in the language you need. In the mentioned URL, you can find a lot of Code Snippets, that can facilitate your integration.
Features
- RENTAL ESTIMATE
If you use this endpoint, you will receive the following answer with all of the information you require, such as location, longitude, distance, rooms, and so on:
{"rent":1423.02,"rentRangeLow":1363.82,"rentRangeHigh":1482.22,"longitude":-98.35147909999999,"latitude":29.4759532,"listings":[{"id":"6926-Lakeivew-Dr,---101,-San-Antonio,-TX-78244","formattedAddress":"6926 Lakeivew Dr, # 101, San Antonio, TX 78244","longitude":-98.350538,"latitude":29.475907,"city":"San Antonio","state":"TX","zipcode":"78244","price":1495,"publishedDate":"2022-07-27T03:34:51.928Z","distance":0.09134690204529243,"daysOld":1.5,"correlation":0.9938,"address":"6926 Lakeivew Dr, # 101","county":"Bexar County","bedrooms":3,"bathrooms":2.5,"propertyType":"Townhouse","squareFootage":1324},{"id":"6926-Lakeview-Dr,-Unit-101,-San-Antonio,-TX-78244","formattedAddress":"6926 Lakeview Dr, Unit 101, San Antonio, TX 78244","longitude":-98.350538,"latitude":29.475907,"city":"San Antonio","state":"TX","zipcode":"78244","price":1495,"publishedDate":"2022-07-21T03:30:52.122Z","distance":0.09134690204529243,"daysOld":7.51,"correlation":0.9937,"address":"6926 Lakeview Dr, Unit 101","county":"Bexar County","bedrooms":3,"bathrooms":2.5,"propertyType":"Duplex-Triplex","squareFootage":1324},{"id":"6922-Lakeview-Dr,-Unit-101,-San-Antonio,-TX-78244","formattedAddress":"6922 Lakeview Dr, Unit 101, San Antonio, TX 78244","longitude":-98.350666,"latitude":29.475845,"city":"San Antonio","state":"TX","zipcode":"78244","price":1425,"publishedDate":"2022-03-25T03:13:36.318Z","distance":0.0797127921055297,"daysOld":125.52,"correlation":0.9932,"address":"6922 Lakeview Dr, Unit 101","county":"Bexar County","bedrooms":3,"bathrooms":2.5,"propertyType":"Duplex-Triplex","squareFootage":1324},{"id":"6918-Lakeview-Dr,-Unit-102,-San-Antonio,-TX-78244","formattedAddress":"6918 Lakeview Dr, Unit 102, San Antonio, TX 78244","longitude":-98.350862,"latitude":29.47575,"city":"San Antonio","state":"TX","zipcode":"78244","price":1350,"publishedDate":"2021-11-23T02:33:20.741Z","distance":0.06393815989733555,"daysOld":247.55,"correlation":0.9929,"address":"6918 Lakeview Dr, Unit 102","county":"Bexar County","bedrooms":3,"bathrooms":2.5,"propertyType":"Duplex-Triplex","squareFootage":1324},{"id":"6918-Lakeview-Dr,---102,-San-Antonio,-TX-78244","formattedAddress":"6918 Lakeview Dr, # 102, San Antonio, TX 78244","longitude":-98.350862,"latitude":29.47575,"city":"San Antonio","state":"TX","zipcode":"78244","price":1350,"publishedDate":"2021-11-24T03:19:08.272Z","distance":0.06393815989733555,"daysOld":246.52,"correlation":0.9929,"address":"6918 Lakeview Dr, # 102","county":"Bexar County","bedrooms":3,"bathrooms":2.5,"propertyType":"Townhouse","squareFootage":1324}]}This real estate API supports all major international currencies, so regardless of where you are or what currency you use, you can use it.