Bright Data | Hospitality and Travel Data - Global Coverage - Travel Industry Data from Hotel Websites & Flight Aggregators
# | # |
category |
hotel_id |
hotel_name |
canonical |
reviews_num |
reviews_rating |
hotel_rating |
top_feature |
images |
description |
top_facilities |
rooms |
facilities |
reviews |
input |
||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx |
2 | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx |
3 | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx |
4 | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx |
5 | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx |
6 | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx |
7 | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx |
8 | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx |
9 | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx |
10 | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx |
... | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
#
|
Integer | 1 | |
category
|
String | Apartments | |
hotel_id
|
Integer | 5334787 | |
String | Germany | Country Name | |
String | Lower-Saxony | State Name | |
String | Wilhelmshaven | City Name | |
hotel_name
|
String | Apartment 015 Ferienhaus Wilhelmshaven _ wie | |
canonical
|
String | https://www.booking.com/hotel/de/015-ferienhaus-wilhelmsh... | |
String | Address | ||
reviews_num
|
Integer | 8 | |
reviews_rating
|
Float | 8.5 | |
hotel_rating
|
Float | 9.1 | |
top_feature
|
String | Staff | |
images
|
String | https://t-cf.bstatic.com/xdata/images/hotel/max1024x768/2... | |
description
|
String | Located in Wilhelmshaven, just 1.1 miles from Sudstrand, ... | |
top_facilities
|
String | Free WiFi,Beachfront | |
rooms
|
String | [{"room_type":"Apartment with Terrace","room_beds":"Bedro... | |
facilities
|
String | null | |
reviews
|
String | [{"id":"63bc4a3abe0172c8","name":"Christian","location":"... | |
Float | 53.51916667 | Latitude | |
Float | 8.09305556 | Longitude | |
input
|
String | {"url":"https://www.booking.com/hotel/de/015-ferienhaus-w... |
Description
Country Coverage
Volume
4.13 million | records available |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Bright Data Hospitality and Travel Data - Global Coverage - Travel Industry Data from Hotel Websites & Flight Aggregators?
Bright Data’s travel data collector is an easier and more cost-effective way to get dynamic competitive pricing, and forecasting consumer trends. Will automatically deliver competitive travel intelligence directly to your inbox.
What is Bright Data Hospitality and Travel Data - Global Coverage - Travel Industry Data from Hotel Websites & Flight Aggregators used for?
This product has 5 key use cases. Bright Data recommends using the data for Pricing Strategy, Competitive Intelligence, Hotels Pricing, Flights Pricing, and Travel Data. Global businesses and organizations buy Hotel Rates & Pricing Data from Bright Data to fuel their analytics and enrichment.
Who can use Bright Data Hospitality and Travel Data - Global Coverage - Travel Industry Data from Hotel Websites & Flight Aggregators?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Hotel Rates & Pricing Data. Get in touch with Bright Data to see what their data can do for your business and find out which integrations they provide.
Which countries does Bright Data Hospitality and Travel Data - Global Coverage - Travel Industry Data from Hotel Websites & Flight Aggregators cover?
This product includes data covering 245 countries like USA, China, Japan, Germany, and India. Bright Data is headquartered in United States of America.
How much does Bright Data Hospitality and Travel Data - Global Coverage - Travel Industry Data from Hotel Websites & Flight Aggregators cost?
Pricing information for Bright Data Hospitality and Travel Data - Global Coverage - Travel Industry Data from Hotel Websites & Flight Aggregators is available by getting in contact with Bright Data. Connect with Bright Data to get a quote and arrange custom pricing models based on your data requirements.
How can I get Bright Data Hospitality and Travel Data - Global Coverage - Travel Industry Data from Hotel Websites & Flight Aggregators?
Businesses can buy Hotel Rates & Pricing Data from Bright Data and get the data via S3 Bucket, SFTP, Email, UI Export, and Streaming API. Depending on your data requirements and subscription budget, Bright Data can deliver this product in .json and .csv format.
What is the data quality of Bright Data Hospitality and Travel Data - Global Coverage - Travel Industry Data from Hotel Websites & Flight Aggregators?
Bright Data has reported that this product has the following quality and accuracy assurances: 97% Success rate in real-time. You can compare and assess the data quality of Bright Data using Datarade’s data marketplace. Bright Data has received 5 reviews from clients. Bright Data appears on selected Datarade top lists ranking the best data providers, including Best 8 APIs for SEO Optimization, Best 6 SERP Tracking APIs for Accurate Monitoring, and Best +8 Web Scraping APIs to use in 2023.
What are similar products to Bright Data Hospitality and Travel Data - Global Coverage - Travel Industry Data from Hotel Websites & Flight Aggregators?
This product has 3 related products. These alternatives include The Data Appeal Flight Data, Travel Booking Data & Tourism Data API, Dataset Global, WebAutomation Online Travel Agency Data Hospitality, Travel & Tourism Data Global Coverage from Public Hotels, Flights & Car rental Websites, and DATAANT Travel Data Dataset, API Booking and Pricing Data: Hotel Websites, Flight Aggregators and Rental Aggregators Global Coverage. You can compare the best Hotel Rates & Pricing Data providers and products via Datarade’s data marketplace and get the right data for your use case.