--- 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 **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): ```json { "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 ```python 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: ```bibtex @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](https://github.com/luminati-io) Have questions or need a refreshed dump? Open an issue or reach out! 📨