Pinterest and Lark Integration

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Automatically share new Pinterest pins in Lark channels to boost team awareness of trending content. Latenode’s visual editor and affordable execution pricing make this workflow easy to create, customize with JavaScript, and scale.

Swap Apps

Pinterest

Lark

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Pinterest and Lark

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

Add the Pinterest Node

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

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Pinterest

Configure the Pinterest

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

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Connect Pinterest

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Run node once

Add the Lark Node

Next, click the plus (+) icon on the Pinterest 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.

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Connect Lark

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Run node once

Configure the Pinterest 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.

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Lark Oauth 2.0

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The action ID

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Run node once

Set Up the Pinterest 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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Save and Activate the Scenario

After configuring Pinterest, 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 Pinterest and Lark integration works as expected. Depending on your setup, data should flow between Pinterest 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 Pinterest and Lark

Pinterest + Google Sheets + Lark: When a new popular pin is created in Pinterest (determined by some criteria), its details are saved to a Google Sheet. Then, a message is sent to a Lark group chat with a link to the Google Sheet for team review.

Pinterest + Lark + Canva: When a new pin is created in Pinterest, the top performing pins are shared in Lark. Then, a new promotional graphic is created in Canva based on those pins.

Pinterest and Lark integration alternatives

About Pinterest

Automate Pinterest tasks within Latenode. Pin, repin, and manage boards based on triggers from other apps. Automate content curation, schedule pins, and track performance—all inside your workflows. Connect Pinterest to your marketing stack, enrich data, and scale your campaigns without code.

Similar apps

Related categories

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.

See how Latenode works

FAQ Pinterest and Lark

How can I connect my Pinterest account to Lark using Latenode?

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

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

Can I post Pinterest pins when I get Lark notifications?

Yes, you can! Latenode's visual editor makes it easy. Automate pins from Lark, ensuring key info shared is instantly visible to your Pinterest audience.

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

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

  • Send Lark messages for new Pinterest saves.
  • Update Lark channels with popular Pinterest trends.
  • Share new Pinterest product pins in Lark for feedback.
  • Create tasks in Lark from high-performing Pinterest content.
  • Alert teams in Lark about new Pinterest followers.

How can I use JavaScript within my Pinterest and Lark workflows?

Latenode supports custom JavaScript code. Use it to transform data, handle complex logic, and extend the Pinterest and Lark integration further.

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

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

  • API rate limits from Pinterest and Lark may affect workflow speed.
  • Custom JavaScript code requires technical expertise.
  • Some advanced Pinterest API features may not be directly supported initially.

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