Integrate Google Hotel Price with HDFS
About Google Hotel Price
Google Hotel Price allows users to search for hotels right on Google and in Google Maps, getting a list of hotels with prices, photos, reviews, and street view panoramas. Connecting your properties to this service can help you increase your traffic, expand your reach, and improve your reputation and user reviews.
HDFS is a Java-based file system that provides scalable and reliable data storage, and it was designed to span large clusters of commodity servers. HDFS has demonstrated production scalability of up to 200 PB of storage and a single cluster of 4500 servers, supporting close to a billion files and blocks.
Popular Use Cases
Bring all your Google Hotel Price data to Amazon Redshift
Load your Google Hotel Price data to Google BigQuery
ETL all your Google Hotel Price data to Snowflake
Move your Google Hotel Price data to MySQL
Integrate Google Hotel Price With HDFS Today
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Google Hotel Price's End Points
Specify a report you want to receive or retrieve a list of available reports. This can give you a solid understanding of your numbers and help you develop long-term insights.
List your submitted bids, including information about each bid and that bid’s multipliers. This information can help you see if you are bidding competitively and determine how to drive more customer volume to your properties.
Retrieve values displayed in the Hotel Ads Center scorecard view. This includes account-specific data, price accuracy scores, performance stats, opportunity stats, and more.
Get a report of your feeds so that you can have an updated understanding of your availability, prices, and hotels. Additionally, get insight into any errors or warnings that Google encountered so you can identify and fix issues ASAP.
Retrieve itinerary - check-in dates, length of stay, room rates, etc. - and pricing data for a particular property. This data can help you understand customer behavior, seasonal changes, and more.
View your Hotel List Feed to see valid hotels and hotels that aren’t indexed. Use this information to clean up your hotel list and fix any issues, including duplicate data, ambiguous or invalid names, etc.