IntegrationsPantryGoogle Data Studio
Pantry + Google Data Studio

Connect Pantry and Google Data Studio to Build Intelligent Automations

Choose a Trigger

Pantry

When this happens...

Choose an Action

Google Data Studio

Automatically do this!

Enable Integrations or automations with these events of Pantry and Google Data Studio

Enable Integrations or automations with these events of Pantry and Google Data Studio

Actions

Create and/or Replace Basket

Create and/or Replace Basket

Given a basket name as provided in the url, this will either create a new basket inside your pantry, or replace an existing one.

Get Contents

Get Contents

Given a basket name, return the full contents of the basket.

Update Contents

Update Contents

Given a basket name, this will update the existing contents and return the contents of the newly updated basket.

Get Details

Get Details

Given a PantryID, return the details of the pantry, including a list of baskets currently stored inside it.

Update Details

Update Details

Update Details in Pantry.

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Frequently Asked Questions

How do I start an integration between Pantry and Google Data Studio?

To start, connect both your Pantry and Google Data Studio accounts to viaSocket. Once connected, you can set up a workflow where an event in Pantry triggers actions in Google Data Studio (or vice versa).

Can we customize how data from Pantry is recorded in Google Data Studio?

Absolutely. You can customize how Pantry data is recorded in Google Data Studio. This includes choosing which data fields go into which fields of Google Data Studio, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Pantry and Google Data Studio?

The data sync between Pantry and Google Data Studio typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Pantry to Google Data Studio?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Pantry and Google Data Studio?

Yes, you can set conditional logic to control the flow of data between Pantry and Google Data Studio. 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.

Pantry

About Pantry

Pantry is a cloud-based service that provides a simple and efficient way to store and manage data. It is designed to help developers and businesses easily manage their data storage needs with a focus on simplicity and ease of use.

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Google Data Studio

About Google Data Studio

Google Data Studio is a powerful tool that allows users to transform raw data into informative, easy-to-read, and shareable dashboards and reports. It integrates seamlessly with various data sources, enabling users to visualize and analyze data in real-time, making it an essential tool for data-driven decision-making.

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