Integrate CloudTrail with Pinterest

About CloudTrail

AWS CloudTrail is a web service that records AWS API calls for your account and delivers log files to you. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service.

With CloudTrail, you can get a history of AWS API calls for your account, including API calls made via the AWS Management Console, AWS SDKs, command line tools, and higher-level AWS services (such as AWS CloudFormation). The AWS API call history produced by CloudTrail enables security analysis, resource change tracking, and compliance auditing.

About Pinterest

Pinterest is a visual discovery engine that allows people to discover information using images, GIFs, and videos. Users can create collections of images, called boards, and save their favorite images for later. Alternatively, businesses can use the platform to share their products and services, spreading awareness and reaching new audiences.

Popular Use Cases

Bring all your CloudTrail data to Amazon Redshift

Load your CloudTrail data to Google BigQuery

ETL all your CloudTrail data to Snowflake

Move your CloudTrail data to MySQL

Bring all your Pinterest data to Amazon Redshift

Load your Pinterest data to Google BigQuery

ETL all your Pinterest data to Snowflake

Move your Pinterest data to MySQL

Integrate CloudTrail With Pinterest Today

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Pinterest's End Points

Pinterest Boards

You can create, delete, and edit boards for authenticated users. Also fetch boards and Pins on a board and use this information to improve your efforts.

Pinterest Pins

Use the API to create, edit and delete Pins for authenticated users. You can also fetch Pins, boards and the Pins on a board for any user. This will help you understand user preference, UX, and more.

Pinterest Users

With the Pinterest API, you can get a lot of user information, including profile info, boards, suggested boards, and following relationships. Use this data to better understand users and send more targeted, accurate communication.

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