All Forum Posts by: Germán Rimoldi

Quote from @Alex Scattareggia:

I have seen you post this kind of thing a few times over the last few months and I am assuming you are going to try to launch a product or service. It seems you have some sort of data scraping tool and are just kind of throwing a bunch of info out there, but I am not seeing the utility of this to an investor. 

I think you could potentially have some good raw data but maybe synthesizing it into an investment strategy would be a more useful application of your info. 

Hater's gonna hate. 

As a programmer and investor, I developed an app to compare ADR and Occupancy Rates for different property types on Airbnb. After researching Estes Park, Colorado, I found valuable insights to guide investment decisions:

1. The highest ADR among all the property types is for the "Design" class, with rates ranging from 1036 to 1235 for 1 to 3 rooms respectively. However, for 4 rooms, the ADR drops to 1198.

2. The property types with the highest occupancy rates are "Fun" and "Ranches," both consistently having rates above 40%.

3. "Cabins" have the lowest occupancy rate among all the property types, ranging from 26% to 28%.

4. "Amazing views" have a relatively low occupancy rate compared to the "Fun" and "Ranches" groups but still have a consistently high ADR.

5. "Design" properties have a significantly higher occupancy rate for 4 rooms compared to 1 to 3 rooms, suggesting that larger properties in this class are more popular.

6. "Country houses" have the lowest ADR among all property types, ranging from 271 to 363 for 1 to 3 rooms respectively.

Overall, it seems that "Design" properties have the highest ADR but lower occupancy rates, while "Ranches" and "Fun" properties have lower ADR but higher occupancy rates

From the research for Estes Park, we can conclude the following:

1. The highest ADR among all the property types is for the "Design" class, with rates ranging from 1036 to 1235 for 1 to 3 rooms respectively. However, for 4 rooms, the ADR drops to 1198.

2. The property types with the highest occupancy rates are "Fun" and "Ranches," both consistently having rates above 40%.

3. "Cabins" have the lowest occupancy rate among all the property types, ranging from 26% to 28%.

4. "Amazing views" have a relatively low occupancy rate compared to the "Fun" and "Ranches" groups but still have a consistently high ADR.

5. "Design" properties have a significantly higher occupancy rate for 4 rooms compared to 1 to 3 rooms, suggesting that larger properties in this class are more popular.

6. "Country houses" have the lowest ADR among all property types, ranging from 271 to 363 for 1 to 3 rooms respectively.

Quote from @Mark Miles:

Quote from @Germán Rimoldi:

Quote from @Mark Miles:

Quote from @Germán Rimoldi:

Hi, I'm currently developing an app that automatically generates reports by extracting data from Airbnb. 

I'm working on research to create a service that helps people find the right asset class for their investments, comparing options like tiny homes, cabins, domes, and more. As part of beta testing, the service is completely free.

I'm eager to understand if others find this research valuable. 

Please feel free to DM me if you would like to receive this report for your city.

 What data are you extracting from Airbnb? The only data that you can extract directly from Airbnb are things like list prices which don’t tell you what homes actually booked for. You can also check calendar blockage but you don’t know at what price those days booked for, nor do you know if they’re reserved for an owner stay. You should be more clear on your data sources and your data attributes, so we can truly understand what you’re doing here so we can decide if there’s any value here

Hi Mark, 

We are comparing different property types for the same location. That is, comparing Average Daily Rate and Occupancy Rates for Cabins, Tiny Homes, Treehouses and more. 

The app helps anyone to understand which type of property may perform better in a given location. 

Lolol are you a bot? We keep asking you questions and you keep just copy/pasting the same responses over and over and over. I vote that we abandon this thread, no point in dealing with a bot or a broken record who won’t take the time to properly answer our questions. Good luck to you!

 Data is extrated from Airbnb.

Quote from @Mark Miles:

Quote from @Germán Rimoldi:

Hi, I'm currently developing an app that automatically generates reports by extracting data from Airbnb. 

I'm working on research to create a service that helps people find the right asset class for their investments, comparing options like tiny homes, cabins, domes, and more. As part of beta testing, the service is completely free.

I'm eager to understand if others find this research valuable. 

Please feel free to DM me if you would like to receive this report for your city.

 What data are you extracting from Airbnb? The only data that you can extract directly from Airbnb are things like list prices which don’t tell you what homes actually booked for. You can also check calendar blockage but you don’t know at what price those days booked for, nor do you know if they’re reserved for an owner stay. You should be more clear on your data sources and your data attributes, so we can truly understand what you’re doing here so we can decide if there’s any value here

Hi Mark, 

We are comparing different property types for the same location. That is, comparing Average Daily Rate and Occupancy Rates for Cabins, Tiny Homes, Treehouses and more. 

The app helps anyone to understand which type of property may perform better in a given location. 

Quote from @Michael Baum:

Hmmm. I am not sure I see the value myself.

We are comparing occupancy and average daily rates for each asset class (cabins, tiny homes, domes and more):

https://docs.google.com/spread...

Do you think this is rather of more value to real estate developers?

Quote from @Chris Seveney:

@Germán Rimoldi

Reading this the question I have is:

What problem are you solving for people and what are you making life easier for them.

 Hi Chris, 

We compare Averge Occupancy and Average Daily Rates for each asset class (cabins, tiny homes, domes and more).

Hi, I'm currently developing an app that automatically generates reports by extracting data from Airbnb. 

I'm working on research to create a service that helps people find the right asset class for their investments, comparing options like tiny homes, cabins, domes, and more. As part of beta testing, the service is completely free.

I'm eager to understand if others find this research valuable. 

Please feel free to DM me if you would like to receive this report for your city.

Determine the right price, research similar rentals, consider peak/off-peak seasons, evaluate unique features, factor in expenses, test pricing initially, and seek professional advice if needed. Find the balance between affordability and profitability. Good luck!

Check this previous post:

https://www.biggerpockets.com/...