Datasets:
license: other
license_name: bright-data-master-service-agreement
license_link: https://brightdata.com/license
language:
- en
tags:
- travel
- hospitality
- booking
- hotels
- hotel
- pricing‑data
- tabular‑data
pretty_name: 'Booking.com Listings '
size_categories:
- 10K<n<100K
Booking Listings – Free Cancellation 🏨✈️
Booking Listings is a structured snapshot of accommodation offers worldwide as listed on Booking.com. This subset contains only properties that offer free cancellation, enabling analysts and data scientists to study flexible‑booking behaviour, derive pricing strategies, and build recommendation or revenue‑management systems.
Highlights
- 75 k hotels & apartments across 84 countries
- Rich pricing & availability metadata (final vs. original price, tax descriptions, currency, sustainability flags)
- Guest sentiment — review score & count
- Property configuration: bedrooms, kitchens, beds, star rating, sustainability level, free‑cancellation‑until timestamp
- Scraped Mar 19 2025 with Bright Data Web Scraper
Dataset Summary
| Metric | Value |
|---|---|
| Records | ≈ 75 000 (filtered free‑cancellation subset) |
| Columns | 36 |
| Time range | Check‑in/out dates centred on 19 Mar 2025 |
Supported Tasks
- Travel recommendation & personalisation – rank properties by flexibility, price trends, amenities.
- Dynamic pricing / revenue management – benchmark competitors that allow free cancellation to fine‑tune rates.
- Market research & trend analysis – assess demand elasticity towards cancellation policies in different regions.
- Real‑estate & investment insights – locate high‑rated, sustainable, or luxury properties with lenient policies.
Languages
All textual fields are in English. Currency codes follow ISO‑4217.
Dataset Structure
Data Instances
Each row represents a single property returned by a user search (one check‑in/out pair). Below is a truncated example (JSON Lines):
{
"url": "https://www.booking.com/hotel/au/the-westin-perth.html?...",
"location": "Perth",
"check_in": "2025-03-19T00:00:00Z",
"check_out": "2025-03-20T00:00:00Z",
"adults": 1,
"rooms": 1,
"id": 3052882,
"title": "The Westin Perth",
"city": "Perth",
"review_score": 8.8,
"review_count": 1250,
"image": "https://cf.bstatic.com/xdata/images/hotel/...jpg",
"final_price": 47249,
"original_price": 47249,
"currency": "JPY",
"free_cancellation": true,
"free_cancellation_until": "2025-03-18T16:00:00Z",
"hotel_rank": 77,
"star_rating": null,
"tags": null,
...
}
Data Fields
| Column | Type | Description |
|---|---|---|
url |
string (URL) | Direct link to the property listing. |
location |
string | General destination (city/area) of the property. |
check_in |
datetime | Requested check‑in date. |
check_out |
datetime | Requested check‑out date. |
adults |
int | Number of adults in the query. |
children |
int | null | Number of children (if provided). |
rooms |
int | Rooms requested. |
id |
string | Booking.com property identifier. |
title |
string | Property name. |
address |
string | Street address. |
city |
string | City name (may differ from location). |
review_score |
float | Average guest rating (0‑10). |
review_count |
int | Number of reviews. |
image |
string (URL | null) | Thumbnail of main image. |
final_price |
float | Price returned by search (includes taxes). |
original_price |
float | Original price before discounts. |
currency |
string | ISO‑4217 currency code. |
tax_description |
string | null | Additional taxes/fees description. |
nb_bedrooms |
int | Number of bedrooms. |
nb_all_beds |
int | Total beds available. |
full_location |
string | Normalised “City, Country” location. |
free_cancellation |
bool | Always true in this subset. |
free_cancellation_until |
datetime | null | Deadline for free cancellation. |
property_sustainability |
JSON | Sustainability metadata + facility codes. |
hotel_rank |
int | Position in Booking search results. |
searched_country |
string | 2‑letter country code of the search. |
map_coordinates |
struct | { "lat": float, "lon": float } (may be null). |
listing_country |
string | Country where property is located. |
total_listings_found |
int | Total search results for query. |
star_rating |
int | null | 1‑5 stars. |
tags |
string | null | Booking‑generated tags (e.g. "Travel Sustainable"). |
| nb_livingrooms | int | Number of living rooms in the property. |
| nb_kitchens | int | Number of kitchens in the property. |
| no_prepayment | bool | Indicates if prepayment is not required. |
Nested object keys:
full_location → description, main_distance, display_location, beach_distance, nearby_beach_names
property_sustainability → is_sustainable, level_id, facilities
Data Splits
| Split | Rows | Description |
|---|---|---|
train |
0 | not applicable |
test |
0 | not applicable |
all |
≈ 75k | Complete snapshot (single CSV). |
This dataset is delivered as one CSV file (booking_listings.csv).
Usage Example
from datasets import load_dataset
ds = load_dataset(
"BrightData/booking_listings",
data_files="booking_listings.csv",
split="train",
)
print(ds[0]["title"], ds[0]["free_cancellation_until"])
Source & Methodology
Data was collected on 19 Mar 2025 using the Bright Data Infrastructure and publicly available Booking.com search results.
For this subset, we retained only listings where the free cancellation flag was true.
Citation
If you use this dataset in your work, please cite it as:
@dataset{booking_listings_free_cancel_2025,
author = {Bright Data},
title = {Booking Listings – Free Cancellation Subset},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/BrightData/Booking-Listings},
note = {Scraped via Bright Data on 2025‑03‑19}
}
Maintainers
Bright Data @Bright Data
Have questions or need a refreshed dump? Open an issue or reach out! 📨