Airbnb Comp Set API

AirDNA airbnb comp set API for getting listing details for the 25 most comparable rental properties
This airbnb comp set API by AirDNA has data for the purpose of getting listing details for the 25 most comparable rental properties. Customers use it within the real-estate rental sector. Some examples of the type of business using the API are airbnb platforms, real-estate rental analysis platforms, location analysts and more, generally they can be small business, medium business and enterprises. It is intriguing to read about new systems using this airbnb property comparison data, it is possible to think of some business cases with the API but certain ideas are; applications, website plugins, business platforms, airbnb services, airbnb revenue forecasting, airbnb market analysis, machine learning projects and more. Programmers often realise innovative ways to use the data from the API and build something new. With this system you may filter based on revenue in the last twelve months > 0 to obtain the response output you would like. This database has global data coverage available.

Airbnb Comp Set API endpoints



Communicate with the airbnb comparable properties API endpoint; /market/property/list by sending a GET request for information to the endpoint using the the appropriate parameters and obtain an output like in the example output as a response. This endpoint is for getting listing details for the 25 most comparable rental properties. The object table defines the available parameters and objects output explanations. The API documentation works with all main coding languages, simply attach your API key parameter to the data endpoint URL and set it to your personal key to start receiving the requested data. Place the endpoint in the URL to execute the request.

API filtering methods for airbnb comp set data

The airbnb comp set data has the following filters available that can be filtered with.

Data object attributes

Clarify the objects and their description using the table to be able to use the API system also make use of the different parameters applicable to be able to attain the needed response output.

Response output of airbnb comp set API

Example data response of the endpoint request. More data is available, it is limited to make it readable. Opt-in to the API system to gain access to the full data response.
  "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

Use any of the filter objects to get the airbnb comparison data that is necessary. The API system provides output in JSON file format and for languages such as; phyton, r, matlab, c++, net, java, node. Js, go, php, javascript, typescript, haskell, tensorflow and ruby there are software development kits accessible, now just request it and it will be sent shortly.

Airbnb Comp Set API pricing

Sadly no free or discounted trial period is availablebut it is still possible to try to attain sample data.

API pricing

AirDNA Airbnb Comp Set API is ready to purchase with documentation and data provider support.
Price upon request

No Trial

No trial is available

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