Airbnb Comp Set API

Airbnb comp set API for getting listing details for the 25 most comparable rental properties
The AirDNA airbnb comp set API has data with the purpose of getting listing details for the 25 most comparable rental properties. When filtering this API based on the revenue in the last twelve months > 0 you will get the output which you need for your project. The data is used by small business, medium business and enterprises, the clients use it in the real-estate rental industry. Several ideas of the type of business that uses the data are airbnb platforms, real-estate rental analysis platforms, location analysts and more. Developers who use this airbnb competative set API, use it for many projects, a few of which are; applications, website plugins, business platforms, airbnb services, airbnb revenue forecasting, airbnb market analysis, machine learning projects and more. The options are countless ofcourse and it is certain that more use cases come to mind, so play with the API for your business case and it should be exciting to hear what gets made with it. The database covers global data.

Airbnb Comp Set API endpoints

GET /market/property/list
Connect with the airbnb competative set API endpoint; /market/property/list by sending a GET request for data to the endpoint using the the possible parameters and obtain a similar response as in the example data output. This endpoint is used for getting listing details for the 25 most comparable rental properties. The object and description table defines the appropriate parameters and objects output explanations. All leading programming languages work with the API output. Customers just need to connect the personal key as an endpoint parameter and customers will begin receiving the data. Input the endpoint in the URL to make the data request.

Data filtering parameters for airbnb comp set API

Here you may find the available filter methods for the airbnb comp set API.

API object descriptions for airbnb comp set data

Compose a data request with the different parameters applicable and use the table to clarify the objects with their description.
Objects Description
address property address
lat property latitude
lng property longitude
radius Meters: Required for point-radius searches (an address or latitude/longitude pair is provided).
city_id Optional: All returned properties will be contained within the city boundary.
region_id Optional: All returned properties will be contained within the region boundary.
order Can be one of the following: proximity, revenue, reviews, adr. Defaults to “revenue”. Proximity is only valid when using an address or latitude/longitude pair.
desc Boolean for “results descending?”. Defaults to True. Use False if ordering by proximity and want closest results first.
bedrooms number of bedrooms
accommodates number of accommodates
room_types Optional: (entire_home, private_room, shared_room)
show_amenities Optional: Boolean to include property amenities. Defaults to False
show_images Optional: Boolean to include image urls for the associated property listings. Defaults to False
show_location Optional: Boolean to include locational information for properties. Defaults to False
access_token {{CLIENT_TOKEN}}
adr_min Optional: Filter property results with a minimum average daily rate
adr_max Optional: Filter property results with a maximum average daily rate
currency Optional: Specify ‘usd’ or ‘native’ to return results in either USD or the local currency of the location
limit Optional: Limit number of returned properties (25 is the max value)

Airbnb comp set API output response

Example data output of the endpoint call. There is more data available, this example is limited to make it more readable. Sign-up to the API system and receive the complete response output.
  "area_info": {
    "geom": {
      "code": {
        "city": "denver",
        "country": "us",
        "state": "colorado"
      "id": {
        "city": 59380,
        "country": 1,
        "state": 7
      "name": {
        "city": "Denver",
        "country": "United States",
        "state": "Colorado"
  "properties": [
      "accommodates": 14,
      "adr": 1336.69,
      "airbnb_host_id": 23724674,
      "airbnb_property_id": 4576625,
      "bathrooms": 4.5,
      "bedrooms": 5,
      "business_ready": false,
      "cancellation": "strict",
      "check_in": "Anytime after 4PM",
      "check_out": "11AM",
      "cleaning_fee": 200,
      "days_a_ltm": 138,
      "days_b_ltm": 24,
      "days_r_ltm": 203,
      "extra_person_charge": 50,
      "img_count": 26,
      "img_cover": "",
      "instant_book": true,
      "last_calendar_update": "2018-02-16",
      "latitude": 39.7610167973274,
      "listed_dt": "2014-10-24",
      "listing_url": "",
      "location": {
        "city": "Denver",
        "country": "United States",
        "msa": "Denver-Aurora-Lakewood, CO Metro Area",
        "neighborhood": [
        "state": "Colorado",
        "zipcode": "80211"
      "longitude": -105.008507384098,
      "minimum_stay": 2,
      "num_res_ltm": 64,
      "occ": 0.595308,
      "price_monthly": 17000,
      "price_nightly": 725,
      "price_weekly": 5600,
      "property_type": "Entire house",
      "rating_overall": 9.9,
      "response_rate": 100,
      "response_time": 229,
      "revenue": 271348,
      "reviews": 124,
      "room_type": "Entire home/apt",
      "scraped_dt": "2018-02-25",
      "security_deposit": 1000,
      "superhost": true,
      "title": "Huge Home in the Heart of Lohi! Groups Welcome!"

Software development kits

It is a JSON API and if people need SDKs, those are available for phyton, r, matlab, c++, net, java, node. Js, go, php, javascript, typescript, haskell, tensorflow and ruby. Just ask for it and they should be sent. Begin using the filter attributes and use the output with the SDKs to build the system.

Airbnb Comp Set API pricing

Regrettably no free trial period is available but we could still attempt to obtain sample data.

API cost and pricing

The API by AirDNA is available with secure payment option and prompt access.
Price upon request

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