How does the Object table and JSON output of Mashvisor get rental rates API work?

In this article, I will clarify the object table and JSON output specifically of Mashvisor's Get Rental Rates API. As a programmer, you are likely familiar with both object tables and JSON outputs. However, when working with APIs, it is crucial to have a clear understanding of how the data is structured and presented. In this article, I will explain the details of Mashvisor's object table and JSON output, highlighting key features and important considerations to keep in mind when working with this API. By the end of this article, you will have a clear understanding of the object table and JSON output of Mashvisor's Get Rental Rates API, which will help you make the most of this powerful tool in your programming projects.

API Object Table

1. content: This object may contain additional information about the rental rates, such as the timestamp of when the data was last updated.

2. rental_rates: This object contains a list of rental rate values for different property types, such as studio, one-room, two-room, three-room, and four-room apartments.

3. studio_value: This object contains rental rate data specific to studio apartments.

4. one_room_value: This object contains rental rate data specific to one-room apartments.

5. two_room_value: This object contains rental rate data specific to two-room apartments.

6. three_room_value: This object contains rental rate data specific to three-room apartments.

7. four_room_value: This object contains rental rate data specific to four-room apartments.

8. sample_count: This object contains the number of samples used to calculate the rental rates.

9. detailed: This object may contain additional information about the rental rates, such as the methodology used to calculate them.

10. state: This object contains the state where the rental property is located.

11. city: This object contains the city where the rental property is located.

12. neighborhood: This object contains the neighborhood where the rental property is located.

13. zipcode: This object contains the zip code where the rental property is located.

14. beds: This object contains the number of bedrooms in the rental property.

15. count: This object contains the count of rental properties used in the calculation of rental rates.

16. min: This object contains the minimum rental rate value for the given property type.

17. max: This object contains the maximum rental rate value for the given property type.

18. avg: This object contains the average rental rate value for the given property type.

19. median: This object contains the median rental rate value for the given property type.

20. adjusted_rental_income: This object may contain additional information about the rental rates, such as the adjusted rental income after expenses.

The information in the table is useful for real estate professionals and investors who are interested in assessing rental rates in a given area. By providing rental rate data for different types of properties, such as studio, one-room, two-room, three-room, and four-room apartments, this information can help investors make informed decisions about which types of properties to invest in. Additionally, by providing data specific to different locations, such as states, cities, neighborhoods, and zip codes, this information can help investors identify areas where rental rates are high or low, and make decisions about where to invest accordingly. Overall, the information in the table provides valuable insights into rental rates in a given area, which can help real estate professionals and investors make informed decisions and maximize their returns on investment.

JSON Output

The JSON output below contains information about rental rates in a given area, along with some additional data. The "status" field indicates that the API request was successful. The "content" object contains data on rental rates broken down by property type, including studio, one-room, two-room, three-room, and four-room apartments. The "sample_count" field indicates the number of rental properties used to calculate the rental rates. The "detailed" array contains rental rate data for different types of properties broken down by location, including state, city, neighborhood, zip code, number of bedrooms, count of rental properties, minimum, maximum, average, median rental rate value, and adjusted rental income after expenses. The data in this JSON output can be used to make informed decisions about rental properties in a given area and to help real estate professionals and investors maximize their returns on investment.

{
"status": "success",
"content": {
"retnal_rates": {
"studio_value": 2100,
"one_room_value": 2500,
"two_room_value": 3890,
"three_room_value": 4997.5,
"four_room_value": 7995
},
"sample_count": 268,
"detailed": [
{
"state": "CA",
"city": null,
"neighborhood": "117954",
"zipcode": null,
"beds": "0",
"count": 7,
"min": 2000,
"max": 3000,
"avg": 2221.4285714285716,
"median": 2100,
"adjusted_rental_income": 2022.3
},
{
"state": "CA",
"city": null,
"neighborhood": "117954",
"zipcode": null,
"beds": "1",
"count": 31,
"min": 995,
"max": 4500,
"avg": 2641.6129032258063,
"median": 2500,
"adjusted_rental_income": 2407.5
},
{
"state": "CA",
"city": null,
"neighborhood": "117954",
"zipcode": null,
"beds": "2",
"count": 136,
"min": 1300,
"max": 7500,
"avg": 3979.8970588235293,
"median": 3890,
"adjusted_rental_income": 3746.07
},
{
"state": "CA",
"city": null,
"neighborhood": "117954",
"zipcode": null,
"beds": "3",
"count": 78,
"min": 645,
"max": 12000,
"avg": 5288.961538461538,
"median": 4997.5,
"adjusted_rental_income": 4812.5925
},
{
"state": "CA",
"city": null,
"neighborhood": "117954",
"zipcode": null,
"beds": "4",
"count": 16,
"min": 4700,
"max": 27000,
"avg": 11459.6875,
"median": 7995,
"adjusted_rental_income": 7699.1849999999995
}
]
}
}

Ending words

In this article, we covered a range of topics related to programming and data analysis. We started by discussing the importance of having a clear understanding of object tables and JSON outputs when working with APIs. Then, we described the objects in a specific table, highlighting their key features and use cases. We also analyzed a sample JSON output, outlining its structure and the information it contains. Overall, this conversation provides valuable insights into programming and data analysis, which can be helpful for individuals interested in working in these fields or looking to improve their skills.

Reference

You can request access to the Mashvisor Get Rental Rates API through the third-party data marketplace of Worldindata. Mashvisor is a data provider that specializes in providing real estate data, and their Get Rental Rates API allows users to retrieve rental rate data for different types of properties and locations. By accessing this API through the Worldindata marketplace, users can easily incorporate this data into their programming projects and analysis. To request access to the Mashvisor Get Rental Rates API, simply visit the Worldindata website and search for Mashvisor in the data providers section. Once you've selected Mashvisor, you can request access to their data offerings, including the Get Rental Rates API. Worldindata provides a seamless and user-friendly way to access Mashvisor's real estate data, making it easier for users to analyze and incorporate this valuable data into their projects.