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

Add the Amazon S3 Node
Select the Amazon S3 node from the app selection panel on the right.


Amazon S3

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


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

Save and Activate the Scenario
After configuring Amazon S3, Lark, 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 Amazon S3 and Lark integration works as expected. Depending on your setup, data should flow between Amazon S3 and Lark (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Amazon S3 and Lark
Amazon S3 + Google Sheets + Lark: When a new file is uploaded to an Amazon S3 bucket, its details are added to a Google Sheet. A daily summary of these new files is then sent to a Lark channel.
Lark + Amazon S3 + OpenAI ChatGPT: When a new message is received in a Lark group chat, the message content is analyzed using OpenAI ChatGPT. The analysis results are then stored as a file in an Amazon S3 bucket to improve future responses.
Amazon S3 and Lark integration alternatives

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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About Lark
Use Lark within Latenode to centralize team comms & automate notifications based on workflow triggers. Aggregate messages, streamline approvals, and post updates to specific channels. Benefit from Latenode's visual editor and logic tools for advanced routing that keeps everyone informed and aligned.
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See how Latenode works
FAQ Amazon S3 and Lark
How can I connect my Amazon S3 account to Lark using Latenode?
To connect your Amazon S3 account to Lark on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Amazon S3 and click on "Connect".
- Authenticate your Amazon S3 and Lark accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I get notified in Lark when a file is uploaded to S3?
Yes, you can! Latenode's real-time triggers monitor S3 uploads and automatically send a Lark message. Get instant alerts without complex coding and ensure no file update is missed.
What types of tasks can I perform by integrating Amazon S3 with Lark?
Integrating Amazon S3 with Lark allows you to perform various tasks, including:
- Send Lark alerts for new Amazon S3 bucket events.
- Share Amazon S3 file links directly in Lark channels.
- Archive Lark messages to Amazon S3 for compliance.
- Trigger file processing workflows from Lark commands.
- Backup important Lark data automatically to S3.
Can I automatically convert files from S3 before sending to Lark?
Yes. Use Latenode’s built-in tools like JavaScript or AI blocks to convert files from Amazon S3 before sharing on Lark, ensuring seamless compatibility and readability.
Are there any limitations to the Amazon S3 and Lark integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large file transfers from Amazon S3 to Lark may experience delays.
- Lark's file size limits still apply when sharing files from Amazon S3.
- Advanced S3 permissions need manual setup outside of Latenode.