This data set represents a calendar for all the nights of every listing, from 2018 to a year after the current day. It is updated every 3 days (not during the trial).
Use it to calculate occupancy, analyse previous performances or upcoming rates.
It contains only Airbnb listings, but represents all the listings of that unit, since a reservation on any given channel will ultimately be reflected on the Airbnb calendar.
1. Methodology
Transparent has built a robust tool allowing to accurately infer listing reservations and their related booking price.
Every day and for every single listing on Airbnb, the calendar of the next 365 nights is extracted - referred to as Rate & Demand snapshots. Every day and for every listing, Transparent compares the Availability Snapshot of the day to the Availability Snapshot of the day before.
For every calendar update, a data science algorithm is runned in order to support the qualification of the calendar update.
Transparent then identifies for every night and every listing what is the availability status (Available vs. Reserved vs. Blocked) and append relevant information (Nightly Price, Length of Stay, Booking window etc.)
2. Methodology Available Fields
Field Name | Description |
unified_id
|
Unique ID generated by Transparent for each listing
|
pricing_date |
Calendar date for which the price applies
|
availability_type
|
Qualification of the Availability Status: A - for Available at that pricing date, B - for Blocked, L - for Blocked with very high probability, N - for Unavailable because of Advanced Notice, R - for Reserved, W - for Blocked with moderate probability
|
reservation_date
|
Date when the reservation was made
|
reservation_length_of_stay
|
Length of stay of the reservation
|
reservation_window
|
Time between reservation_date and pricing_date (how many days in advance the reservation was made)
|
reservation_id
|
The specific reservations assigned ID
|
inferred_advance_notice
|
Inferred number of days of advance notice necessary for that night
|
currency
|
Currency of the nightly_base_price field. By default USD.
|
first_scraping_date
|
First time our system detected this night.
|
last_scraping_date
|
Last time this system detected this night.
|
nightly_base_price
|
The nightly base price for a night. This does not include fees nor discounts.
|