PostgreSQL and Lark Integration

90% cheaper with Latenode

AI agent that builds your workflows for you

Hundreds of apps to connect

Centralize PostgreSQL data insights into Lark. Latenode's visual editor simplifies connecting databases to team communication, triggering instant Lark notifications on critical PostgreSQL events. Scale alerts affordably.

Swap Apps

PostgreSQL

Lark

Step 1: Choose a Trigger

Step 2: Choose an Action

When this happens...

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Do this.

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Try it now

No credit card needed

Without restriction

How to connect PostgreSQL and Lark

Create a New Scenario to Connect PostgreSQL and Lark

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

Add the PostgreSQL Node

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

+
1

PostgreSQL

Configure the PostgreSQL

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

+
1

PostgreSQL

Node type

#1 PostgreSQL

/

Name

Untitled

Connection *

Select

Map

Connect PostgreSQL

Sign In
⏡

Run node once

Add the Lark Node

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

1

PostgreSQL

βš™

+
2

Lark

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.

1

PostgreSQL

βš™

+
2

Lark

Node type

#2 Lark

/

Name

Untitled

Connection *

Select

Map

Connect Lark

Sign In
⏡

Run node once

Configure the PostgreSQL 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.

1

PostgreSQL

βš™

+
2

Lark

Node type

#2 Lark

/

Name

Untitled

Connection *

Select

Map

Connect Lark

Lark Oauth 2.0

#66e212yt846363de89f97d54
Change

Select an action *

Select

Map

The action ID

⏡

Run node once

Set Up the PostgreSQL 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.
5

JavaScript

βš™

6

AI Anthropic Claude 3

βš™

+
7

Lark

1

Trigger on Webhook

βš™

2

PostgreSQL

βš™

βš™

3

Iterator

βš™

+
4

Webhook response

Save and Activate the Scenario

After configuring PostgreSQL, 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 β€œRun once” and triggering an event to check if the PostgreSQL and Lark integration works as expected. Depending on your setup, data should flow between PostgreSQL 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 PostgreSQL and Lark

PostgreSQL + Google Sheets + Lark: When a new row is added or updated in a PostgreSQL database, the data is added as a new row in Google Sheets. A message with a summary of the new data is then sent to a Lark group chat.

Lark + PostgreSQL + Jira: When a task is updated in Lark, its status is updated in a PostgreSQL database. If the task is completed, a Jira issue is created to track any follow-up actions.

PostgreSQL and Lark integration alternatives

About PostgreSQL

Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.

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 PostgreSQL and Lark

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

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

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

Can I get notified in Lark about new PostgreSQL database entries?

Yes, you can! Latenode allows real-time notifications, so you'll never miss a new entry. Use our visual editor to set triggers, filter data, and customize alerts effortlessly.

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

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

  • Sending Lark messages for critical PostgreSQL database changes.
  • Creating Lark tasks from PostgreSQL data to track project progress.
  • Populating PostgreSQL tables with data collected in Lark forms.
  • Alerting team channels in Lark of database errors detected in PostgreSQL.
  • Generating reports from PostgreSQL data and sharing them in Lark.

How do I handle large PostgreSQL datasets within Latenode workflows?

Latenode handles large datasets efficiently. Leverage our JavaScript blocks and built-in pagination for processing data without performance bottlenecks.

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

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

  • Complex data transformations may require JavaScript knowledge.
  • Rate limits on PostgreSQL and Lark APIs can impact workflow speed.
  • Initial setup requires administrator privileges for both platforms.

Try now