Listing Nights in-depth

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.