Lark and Amazon SES Integration

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Connect Lark with Amazon SES to automate custom notifications and alerts. Latenode's visual editor and affordable execution-based pricing make building sophisticated notification workflows easier than ever, with support for JavaScript customization.

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Lark

Amazon SES

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Lark and Amazon SES

Create a New Scenario to Connect Lark and Amazon SES

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

Add the Lark Node

Select the Lark node from the app selection panel on the right.

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Lark

Configure the Lark

Click on the Lark node to configure it. You can modify the Lark URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Sign In

Run node once

Add the Amazon SES Node

Next, click the plus (+) icon on the Lark node, select Amazon SES from the list of available apps, and choose the action you need from the list of nodes within Amazon SES.

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Authenticate Amazon SES

Now, click the Amazon SES node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Amazon SES settings. Authentication allows you to use Amazon SES through Latenode.

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Sign In

Run node once

Configure the Lark and Amazon SES Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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The action ID

Run node once

Set Up the Lark and Amazon SES 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 Lark, Amazon SES, 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 Lark and Amazon SES integration works as expected. Depending on your setup, data should flow between Lark and Amazon SES (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Lark and Amazon SES

Lark + Amazon SES + Google Sheets: When a new message is received in a Lark group chat, indicating an email confirmation was sent via Amazon SES, the details are logged in a Google Sheet for reporting purposes.

Amazon SES + Lark + AI Agent: Upon receiving a new verified identity in Amazon SES, an AI Agent summarizes the related feedback and sends key insights to a designated Lark channel for the team to quickly review.

Lark and Amazon SES integration alternatives

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.

About Amazon SES

Automate email sending with Amazon SES in Latenode. Send transactional emails, notifications, and marketing campaigns within your automated workflows. Use Latenode's visual editor to connect SES to other apps, add conditional logic, and handle bounces – simplifying email management and scaling your communication flows without coding.

See how Latenode works

FAQ Lark and Amazon SES

How can I connect my Lark account to Amazon SES using Latenode?

To connect your Lark account to Amazon SES on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Lark and click on "Connect".
  • Authenticate your Lark and Amazon SES accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I send customized Amazon SES emails upon new Lark form submissions?

Yes, you can! Latenode’s visual editor and AI blocks allow you to trigger personalized emails based on form data, streamlining communication and boosting engagement.

What types of tasks can I perform by integrating Lark with Amazon SES?

Integrating Lark with Amazon SES allows you to perform various tasks, including:

  • Automatically sending email notifications for new Lark tasks.
  • Creating email campaigns based on Lark group member data.
  • Sending summarized Lark meeting notes via Amazon SES emails.
  • Generating personalized welcome emails for new Lark workspace users.
  • Triggering alerts via Amazon SES when key Lark metrics change.

How easily can I filter Lark data before sending with Amazon SES?

Latenode's no-code data manipulation tools and JavaScript blocks allow advanced filtering based on your specific criteria before sending emails.

Are there any limitations to the Lark and Amazon SES integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Attachments from Lark messages may require additional parsing logic.
  • Amazon SES sending limits are still enforced by Amazon.
  • Complex Lark data structures might need custom JavaScript transformation.

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