How to connect Cloudinary and Google AppSheet
Create a New Scenario to Connect Cloudinary and Google AppSheet
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Cloudinary, triggered by another scenario, or executed manually (for testing purposes). In most cases, Cloudinary or Google AppSheet will be your first step. To do this, click "Choose an app," find Cloudinary or Google AppSheet, and select the appropriate trigger to start the scenario.

Add the Cloudinary Node
Select the Cloudinary node from the app selection panel on the right.


Cloudinary

Configure the Cloudinary
Click on the Cloudinary node to configure it. You can modify the Cloudinary URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google AppSheet Node
Next, click the plus (+) icon on the Cloudinary node, select Google AppSheet from the list of available apps, and choose the action you need from the list of nodes within Google AppSheet.


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Authenticate Google AppSheet
Now, click the Google AppSheet node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google AppSheet settings. Authentication allows you to use Google AppSheet through Latenode.
Configure the Cloudinary and Google AppSheet Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Cloudinary and Google AppSheet Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Save and Activate the Scenario
After configuring Cloudinary, Google AppSheet, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Cloudinary and Google AppSheet integration works as expected. Depending on your setup, data should flow between Cloudinary and Google AppSheet (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Cloudinary and Google AppSheet
Google AppSheet + OpenAI Image Generation + Cloudinary: When a new record is added to Google AppSheet, an image is generated using OpenAI based on the record data. This image is then uploaded to Cloudinary for storage and management.
Google AppSheet + Cloudinary + Slack: When a new record is created in Google AppSheet, an image associated with the record is retrieved from Cloudinary (assuming it was previously uploaded), and a shareable link is generated. This link is then sent to a designated Slack channel to notify the team.
Cloudinary and Google AppSheet integration alternatives

About Cloudinary
Automate image and video optimization with Cloudinary in Latenode. Resize, convert, and deliver media assets based on triggers or data from any app. Streamline content workflows by integrating Cloudinary’s powerful transformations directly into your automated processes, reducing manual work. Scale efficiently and pay only for execution time.
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About Google AppSheet
Use Google AppSheet for no-code app creation and connect it to Latenode to automate back-end tasks. Trigger workflows on AppSheet events to update databases, send notifications, or process data. Centralize logic in Latenode, bypassing AppSheet limits and adding advanced features like AI, file parsing, or custom integrations via API and code.
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See how Latenode works
FAQ Cloudinary and Google AppSheet
How can I connect my Cloudinary account to Google AppSheet using Latenode?
To connect your Cloudinary account to Google AppSheet on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Cloudinary and click on "Connect".
- Authenticate your Cloudinary and Google AppSheet accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate image uploads from AppSheet to Cloudinary?
Yes, you can automate uploads with Latenode. Trigger workflows from AppSheet, send files to Cloudinary, and use our no-code blocks and JavaScript functions for advanced image processing.
What types of tasks can I perform by integrating Cloudinary with Google AppSheet?
Integrating Cloudinary with Google AppSheet allows you to perform various tasks, including:
- Automatically backing up AppSheet images to Cloudinary.
- Updating image URLs in AppSheet from Cloudinary transformations.
- Triggering Cloudinary image analysis from new AppSheet entries.
- Dynamically generating image galleries in AppSheet using Cloudinary data.
- Watermarking user-uploaded images in AppSheet via Cloudinary.
Can I apply complex transformations to images via Latenode?
Yes, Latenode's integration allows you to apply advanced transformations using Cloudinary's API, extended with JavaScript and AI for more tailored workflows.
Are there any limitations to the Cloudinary and Google AppSheet integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Real-time updates depend on AppSheet's sync frequency.
- Complex transformations might require advanced JavaScript knowledge.
- Large-scale image processing is subject to Cloudinary's API limits.