GitHub is how people build software. With a community of more than 10 million people, developers can discover, use, and contribute to over 26 million projects using a powerful collaborative development workflow.
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.
Bring all your GitHub data to Amazon Redshift
Load your GitHub data to Google BigQuery
ETL all your GitHub data to Snowflake
Move your GitHub data to MySQL
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
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.