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Future Airbnb Rates And Supply API
Future airbnb rates and supply API for getting daily future airbnb supply numbers (the count of properties available for rent each day), and corresponding rates for those days (average daily rates as well as adr percentiles)
Get access to the data made by AirDNA to use this future airbnb rates and supply API for getting daily future airbnb supply numbers (the count of properties available for rent each day), and corresponding rates for those days (average daily rates as well as adr percentiles). The data is used by small business, medium business and enterprises, certain examples of the type of company that uses the data are airbnb platforms, real-estate rental analysis platforms, location analysts and more. The customers use the data within the real-estate rental and airbnb industry. A few projects for the future airbnb rates and supply API are for example; applications, website plugins, business platforms, airbnb services, airbnb revenue forecasting, airbnb market analysis, machine learning projects and more. It is of course imaginable that people have uncommon use cases which weren’t thought of previously. It is interesting to read about those. This database has global data coverage available. With this system customers are able to filter based on address or latitude and longitude to attain the response output customers need.
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Future Airbnb Rates And Supply API endpoints
| GET |
| /market/availability/daily |
| GET | /market/availability/daily |
Connect to the airbnb future rates and supply API endpoint; /market/availability/daily by sending a GET request for information to the endpoint with the possible parameters and receive the output like in the example output. The endpoint is for getting daily future airbnb supply numbers (the count of properties available for rent each day), and corresponding rates for those days (average daily rates as well as adr percentiles). For the possible objects and parameters, check the parameter table of the future airbnb rates and supply API which describes it all. In order to make data request, place the endpoint into the browser. All main programming languages function with the data output. You simply need to connect the private API key as an endpoint parameter and you will begin receiving data.
API filter methods for future airbnb rates and supply data
See below the filtering methods applicable for the future airbnb rates and supply API.
| Filters | ||
address |
||
latitude |
||
longitude |
Data object attributes
Use the object table to understand the objects with their description and generate a data request by using the possible parameters.
| Objects | Description |
access_token | {{CLIENT_TOKEN}} |
city_id | Optional: Use ‘city_id’ or ‘region_id’ |
region_id | Optional: Use ‘city_id’ or ‘region_id’ |
number_of_months | Optional: Default = 1 |
room_types | Required: (entire_place, private_room, shared_room) |
bedrooms | number of bedrooms, required |
accommodates | number of accommodates, optional |
currency | Optional: Specify ‘usd’ or ‘native’ to return results in either USD or the local currency |
start_year | Optional: Defaults to current year. Must fall within 6 months of current year looking forward |
start_month | Optional: Defaults to current month. Must fall within 6 months of current month looking forward |
Output response of the future airbnb rates and supply API
Here you may see the response output preview. Sign-up to the complete data output because this being limited to be able to make it readable.
{
"area_info": {
"geom": {
"code": {
"city": "nice",
"country": "fr",
"state": "provence-alpes-cote-d-azur"
},
"id": {
"city": 35427,
"country": 3,
"state": 429
},
"name": {
"city": "Nice",
"country": "France",
"state": "Provence-Alpes-Côte d'Azur"
}
}
},
"data": {
"adr": {
"calendar_months": [
{
"days": [
{
"adr": {
"avg": 153.39159001314061,
"percentiles": {
"25": 102,
"50": 128,
"75": 178,
"90": 232
}
},
"available_properties": 761,
"date": "2018-02-23"
},
{
"adr": {
"avg": 153.41923551171394,
"percentiles": {
"25": 102,
"50": 128,
"75": 178,
"90": 230
}
},
"available_properties": 811,
"date": "2018-02-24"
},
{
"adr": {
"avg": 149.40571428571428,
"percentiles": {
"25": 102,
"50": 127,
"75": 171,
"90": 230
}
},
"available_properties": 875,
"date": "2018-02-25"
},
{
"adr": {
"avg": 148.68257491675917,
"percentiles": {
"25": 102,
"50": 127,
"75": 171,
"90": 230
}
},
"available_properties": 901,
"date": "2018-02-26"
},
{
"adr": {
"avg": 148.2816593886463,
"percentiles": {
"25": 102,
"50": 127,
"75": 171,
"90": 230
}
},
"available_properties": 916,
"date": "2018-02-27"
},
{
"adr": {
"avg": 147.5543822597677,
"percentiles": {
"25": 102,
"50": 127,
"75": 166.5,
"90": 230
}
},
"available_properties": 947,
"date": "2018-02-28"
}
],
"month": 2,
"year": 2018
},
{
"days": [
{
"adr": {
"avg": 148.88362512873326,
"percentiles": {
"25": 102,
"50": 127,
"75": 170.5,
"90": 230
}
},
"available_properties": 971,
"date": "2018-03-01"
},
{
"adr": {
"avg": 151.9768177028451,
"percentiles": {
"25": 102,
"50": 127,
"75": 173,
"90": 230
}
},
"available_properties": 949,
"date": "2018-03-02"
},
{
"adr": {
"avg": 152.2586387434555,
"percentiles": {
"25": 103,
"50": 127,
"75": 173.5,
"90": 230
}
},
"available_properties": 955,
"date": "2018-03-03"
},
{
"adr": {
"avg": 147.52199413489737,
"percentiles": {
"25": 102,
"50": 127,
"75": 166,
"90": 229
}
},
"available_properties": 1023,
"date": "2018-03-04"
},
{
"adr": {
"avg": 145.7339015151515,
"percentiles": {
"25": 102,
"50": 127,
"75": 165,
"90": 228.5
}
},
"available_properties": 1056,
"date": "2018-03-05"
},
{
"adr": {
"avg": 144.66574074074074,
"percentiles": {
"25": 102,
"50": 127,
"75": 165,
"90": 228
}
},
"available_properties": 1080,
"date": "2018-03-06"
},
{
"adr": {
"avg": 144.3229357798165,
"percentiles": {
"25": 102,
"50": 127,
"75": 165,
"90": 227.1
}
},
"available_properties": 1090,
"date": "2018-03-07"
},
{
"adr": {
"avg": 144.50230414746545,
"percentiles": {
"25": 102,
"50": 127,
"75": 165,
"90": 227.6
}
},
"available_properties": 1085,
"date": "2018-03-08"
},
{
"adr": {
"avg": 145.91160220994476,
"percentiles": {
"25": 102,
"50": 127,
"75": 165,
"90": 228
}
},
"available_properties": 1086,
"date": "2018-03-09"
},
{
"adr": {
"avg": 145.51459854014598,
"percentiles": {
"25": 102,
"50": 127,
"75": 165,
"90": 228
}
},
"available_properties": 1096,
"date": "2018-03-10"
},
{
"adr": {
"avg": 143.13094170403588,
"percentiles": {
"25": 102,
"50": 126,
"75": 163,
"90": 222
}
},
"available_properties": 1115,
"date": "2018-03-11"
},
{
"adr": {
"avg": 142.26525198938992,
"percentiles": {
"25": 101,
"50": 126,
"75": 160,
"90": 218
}
},
"available_properties": 1131,
"date": "2018-03-12"
},
{
"adr": {
"avg": 142.65367581930911,
"percentiles": {
"25": 102,
"50": 126,
"75": 161,
"90": 218.2
}
},
"available_properties": 1129,
"date": "2018-03-13"
},
{
"adr": {
"avg": 142.8272484416741,
"percentiles": {
"25": 102,
"50": 126,
"75": 160,
"90": 221.4
}
},
"available_properties": 1123,
"date": "2018-03-14"
},
{
"adr": {
"avg": 144.00551977920884,
"percentiles": {
"25": 102,
"50": 127,
"75": 162,
"90": 223.4
}
},
"available_properties": 1087,
"date": "2018-03-15"
},
{
"adr": {
"avg": 147.2554605887939,
"percentiles": {
"25": 102,
"50": 127,
"75": 166,
"90": 228
}
},
"available_properties": 1053,
"date": "2018-03-16"
},
{
"adr": {
"avg": 146.8847969782814,
"percentiles": {
"25": 102,
"50": 127,
"75": 165.5,
"90": 228
}
},
"available_properties": 1059,
"date": "2018-03-17"
},
{
"adr": {
"avg": 144.19174311926605,
"percentiles": {
"25": 102,
"50": 127,
"75": 164,
"90": 226.1
}
},
"available_properties": 1090,
"date": "2018-03-18"
},
{
"adr": {
"avg": 143.68383017163504,
"percentiles": {
"25": 102,
"50": 127,
"75": 163,
"90": 225.4
}
},
"available_properties": 1107,
"date": "2018-03-19"
},
{
"adr": {
"avg": 143.7158371040724,
"percentiles": {
"25": 102,
"50": 127,
"75": 162,
"90": 224.6
}
},
"available_properties": 1105,
"date": "2018-03-20"
},
{
"adr": {
"avg": 143.93586269196027,
"percentiles": {
"25": 102,
"50": 127,
"75": 163,
"90": 227.4
}
},
"available_properties": 1107,
"date": "2018-03-21"
},
{
"adr": {
"avg": 144.53222836095765,
"percentiles": {
"25": 102,
"50": 127,
"75": 164,
"90": 228
}
},
"available_properties": 1086,
"date": "2018-03-22"
}
],
"month": 3,
"year": 2018
}
]
}
},
"date_range": {
"end_date": "2018-03-22",
"start_date": "2018-02-23"
},
"request_info": {
"accommodates": [],
"bedrooms": [
2
],
"city_id": 35427,
"concise": [],
"currency": "usd",
"number_of_months": 2,
"percentiles": [],
"property_types": [],
"req_type": "geom",
"room_types": [
"entire_place"
],
"start_month": 2,
"start_year": 2018
}
}
Software development kit
There are SDKs available to help the designing of your project, just email for them and they will be sent. Next use the filter objects to choose the required output for you and with the future airbnb rates and supply API response in your system is easy to develop.
Future Airbnb Rates And Supply API pricing
Regrettably no free trial is available but it is still an option to try to get sample data.
Cost of this API
AirDNA data access is available to buy including documentation and provider support.
| Prices | |
| Price upon request |
No Trial
No trial is available
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