How to connect Google Cloud Storage and Amazon S3
Create a New Scenario to Connect Google Cloud Storage and Amazon S3
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 Google Cloud Storage, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Storage or Amazon S3 will be your first step. To do this, click "Choose an app," find Google Cloud Storage or Amazon S3, and select the appropriate trigger to start the scenario.

Add the Google Cloud Storage Node
Select the Google Cloud Storage node from the app selection panel on the right.


Google Cloud Storage

Configure the Google Cloud Storage
Click on the Google Cloud Storage node to configure it. You can modify the Google Cloud Storage URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Amazon S3 Node
Next, click the plus (+) icon on the Google Cloud Storage node, select Amazon S3 from the list of available apps, and choose the action you need from the list of nodes within Amazon S3.


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Amazon S3


Authenticate Amazon S3
Now, click the Amazon S3 node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Amazon S3 settings. Authentication allows you to use Amazon S3 through Latenode.
Configure the Google Cloud Storage and Amazon S3 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 Google Cloud Storage and Amazon S3 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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AI Anthropic Claude 3
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Amazon S3
Trigger on Webhook
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Webhook response


Save and Activate the Scenario
After configuring Google Cloud Storage, Amazon S3, 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 Google Cloud Storage and Amazon S3 integration works as expected. Depending on your setup, data should flow between Google Cloud Storage and Amazon S3 (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud Storage and Amazon S3
Amazon S3 + CloudConvert + Google Cloud Storage: When a new file is uploaded to an Amazon S3 bucket, it is automatically converted to a different format using CloudConvert and then uploaded to a Google Cloud Storage bucket.
Amazon S3 + Google Cloud Storage + Slack: When a new file is uploaded to either Amazon S3 or Google Cloud Storage, a notification is sent to a Slack channel to alert users of the new file.
Google Cloud Storage and Amazon S3 integration alternatives

About Google Cloud Storage
Use Google Cloud Storage in Latenode for automated file management. Upload, download, and manage files in your workflows. Automate backups, data archiving, or image processing. Connect GCS to other apps for seamless data transfer and triggering events. Latenode's visual editor simplifies complex file-based automations.
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About Amazon S3
Automate S3 file management within Latenode. Trigger flows on new uploads, automatically process stored data, and archive old files. Integrate S3 with your database, AI models, or other apps. Latenode simplifies complex S3 workflows with visual tools and code options for custom logic.
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See how Latenode works
FAQ Google Cloud Storage and Amazon S3
How can I connect my Google Cloud Storage account to Amazon S3 using Latenode?
To connect your Google Cloud Storage account to Amazon S3 on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Storage and click on "Connect".
- Authenticate your Google Cloud Storage and Amazon S3 accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I synchronize files between Google Cloud Storage and Amazon S3?
Yes, you can! Latenode's visual interface and built-in scheduling let you automate file synchronization, ensuring data consistency across both platforms. Enjoy effortless backup and redundancy.
What types of tasks can I perform by integrating Google Cloud Storage with Amazon S3?
Integrating Google Cloud Storage with Amazon S3 allows you to perform various tasks, including:
- Automatically backing up Google Cloud Storage data to Amazon S3.
- Migrating large datasets from Amazon S3 to Google Cloud Storage for analysis.
- Creating a redundant storage solution across both cloud providers.
- Triggering workflows based on file changes in either platform.
- Building an archive system using the cost-effective storage tiers.
Can I use JavaScript to transform data when moving it between clouds?
Yes! Latenode lets you use JavaScript code blocks to transform data on the fly during transfer, ensuring data fits perfectly.
Are there any limitations to the Google Cloud Storage and Amazon S3 integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large file transfers may be subject to Google Cloud Storage and Amazon S3 API rate limits.
- Real-time synchronization is not supported; workflows run on a schedule.
- Complex data transformations may require advanced JavaScript knowledge.