
When this happens...
New Board
New Pins

Automatically do this!
Enable Integrations or automations with these events of Pinterest and Amazon DynamoDB
Triggers when you create a new board.
Triggers when a new pin is created.
Create a new board.
delete a single board.
Find list of board sections.

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Pinterest and Amazon DynamoDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Pinterest triggers actions in Amazon DynamoDB (or vice versa).
Absolutely. You can customize how Pinterest data is recorded in Amazon DynamoDB. This includes choosing which data fields go into which fields of Amazon DynamoDB, setting up custom formats, and filtering out unwanted information.
The data sync between Pinterest and Amazon DynamoDB typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Pinterest and Amazon DynamoDB. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Pinterest is the world’s catalog of ideas that more than 100 million people around the world use every month to get more creative in their everyday lives. Save images and videos ("Pins") to curated collections ("Boards") from any website, or upload your own. Build your online presence and grow your audience by sharing your visual catalog, and track what your audience thinks through their Likes and repins.
Learn MoreAmazon DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS) that offers fast and predictable performance with seamless scalability. It is designed to handle large amounts of data and provide high availability and durability, making it ideal for applications that require consistent, single-digit millisecond latency at any scale.
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