How to connect PostgreSQL and LiveChat
Create a New Scenario to Connect PostgreSQL and LiveChat
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β 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 LiveChat will be your first step. To do this, click "Choose an app," find PostgreSQL or LiveChat, 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.


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


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

Save and Activate the Scenario
After configuring PostgreSQL, LiveChat, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the PostgreSQL and LiveChat integration works as expected. Depending on your setup, data should flow between PostgreSQL and LiveChat (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 LiveChat
LiveChat + PostgreSQL + Slack: When a chat is tagged with a negative tag in LiveChat, the chat details are stored in PostgreSQL and a notification is sent to a dedicated Slack channel.
LiveChat + PostgreSQL + Jira: When a chat thread is tagged with a critical support tag in LiveChat, a new Jira ticket is created. The ticket details, including the Jira ID, are then saved in PostgreSQL for further analysis.
PostgreSQL and LiveChat 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.
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About LiveChat
Integrate LiveChat into Latenode to automate support workflows. Route chats based on keywords, tag conversations, or trigger automated responses. Connect LiveChat data to other apps (CRM, databases) for unified insights. Simplify complex routing and ensure agents have context β all visually, and without code.
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See how Latenode works
FAQ PostgreSQL and LiveChat
How can I connect my PostgreSQL account to LiveChat using Latenode?
To connect your PostgreSQL account to LiveChat 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 LiveChat accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update LiveChat with new PostgreSQL customer data?
Yes, you can! Latenode lets you automate updates, ensuring LiveChat agents have the freshest PostgreSQL data. Improve response times and personalize customer interactions with synced data.
What types of tasks can I perform by integrating PostgreSQL with LiveChat?
Integrating PostgreSQL with LiveChat allows you to perform various tasks, including:
- Create LiveChat tickets from new PostgreSQL database entries.
- Update PostgreSQL records based on LiveChat conversation outcomes.
- Search PostgreSQL for customer data directly within LiveChat.
- Send personalized offers via LiveChat using PostgreSQL data.
- Log LiveChat transcripts and metadata into PostgreSQL for analysis.
How do I query PostgreSQL data from inside Latenode workflows?
Latenode provides a dedicated PostgreSQL node for simple querying. Use SQL or JavaScript steps to build even more complex, data-driven automations.
Are there any limitations to the PostgreSQL and LiveChat integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex SQL queries might require optimization for performance.
- Very high LiveChat volume may require scaling Latenode execution units.
- Data type mismatches between PostgreSQL and LiveChat need handling.