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

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


RD Station

Configure the RD Station
Click on the RD Station node to configure it. You can modify the RD Station 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 RD Station 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 RD Station 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 RD Station 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.

JavaScript
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AI Anthropic Claude 3
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Amazon S3
Trigger on Webhook
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RD Station
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Iterator
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Webhook response


Save and Activate the Scenario
After configuring RD Station, 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 RD Station and Amazon S3 integration works as expected. Depending on your setup, data should flow between RD Station 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 RD Station and Amazon S3
RD Station + Amazon S3 + Google Sheets: When a new lead conversion occurs in RD Station, the lead data is uploaded as a file to Amazon S3, and a summary row is added to a Google Sheet.
Amazon S3 + RD Station + Slack: When a new file is added to an Amazon S3 bucket, the lead data is imported into RD Station, and a notification is sent to a Slack channel to inform the sales team.
RD Station and Amazon S3 integration alternatives

About RD Station
Use RD Station in Latenode to automate marketing tasks. Update leads, trigger personalized emails, and track campaign performance, all inside automated workflows. Integrate RD Station data with other apps, enrich with AI, and build custom logic without code. Scale your marketing automation affordably and visually.
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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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FAQ RD Station and Amazon S3
How can I connect my RD Station account to Amazon S3 using Latenode?
To connect your RD Station account to Amazon S3 on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select RD Station and click on "Connect".
- Authenticate your RD Station and Amazon S3 accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically back up new RD Station leads to Amazon S3?
Yes, you can! Latenode allows you to automate backups of new leads, ensuring data safety. Plus, you can use JavaScript blocks to customize the backup process as needed.
What types of tasks can I perform by integrating RD Station with Amazon S3?
Integrating RD Station with Amazon S3 allows you to perform various tasks, including:
- Automatically backing up RD Station lead data to an S3 bucket.
- Archiving marketing campaign reports from RD Station to S3.
- Storing RD Station contact lists securely in Amazon S3.
- Creating a data lake with RD Station data in Amazon S3.
- Triggering workflows based on new file uploads to S3 related to RD Station data.
How do I map custom fields from RD Station into Amazon S3?
Latenode's visual editor lets you easily map custom fields. Use data transformations or JS code for advanced mapping.
Are there any limitations to the RD Station and Amazon S3 integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may be subject to Amazon S3's API rate limits.
- Complex data transformations may require JavaScript knowledge.
- Real-time synchronization depends on RD Station's API availability.