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Archive LiveChat transcripts and customer data in PostgreSQL for analysis and compliance. Latenode's visual editor makes complex data pipelines easier, and affordable execution pricing helps scale storage workflows.
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Create a New Scenario to Connect LiveChat and PostgreSQL
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 LiveChat, triggered by another scenario, or executed manually (for testing purposes). In most cases, LiveChat or PostgreSQL will be your first step. To do this, click "Choose an app," find LiveChat or PostgreSQL, and select the appropriate trigger to start the scenario.
Add the LiveChat Node
Select the LiveChat node from the app selection panel on the right.
LiveChat
Configure the LiveChat
Click on the LiveChat node to configure it. You can modify the LiveChat URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the PostgreSQL Node
Next, click the plus (+) icon on the LiveChat node, select PostgreSQL from the list of available apps, and choose the action you need from the list of nodes within PostgreSQL.
LiveChat
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PostgreSQL
Authenticate PostgreSQL
Now, click the PostgreSQL node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your PostgreSQL settings. Authentication allows you to use PostgreSQL through Latenode.
Configure the LiveChat and PostgreSQL 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 LiveChat and PostgreSQL Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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PostgreSQL
Trigger on Webhook
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LiveChat
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring LiveChat, PostgreSQL, 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 LiveChat and PostgreSQL integration works as expected. Depending on your setup, data should flow between LiveChat and PostgreSQL (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
LiveChat + PostgreSQL + Slack: When a chat is deactivated in LiveChat, the transcript and customer information are saved to a PostgreSQL database. A notification is then sent to a designated Slack channel to alert the sales team about the completed chat.
PostgreSQL + LiveChat + Jira: When a new or updated row is detected in a PostgreSQL database (representing a support request), a Jira issue is created to track it. A link to the LiveChat transcript is added as a comment to the Jira issue for context.
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 – all visually, and without code.
Related categories
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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How can I connect my LiveChat account to PostgreSQL using Latenode?
To connect your LiveChat account to PostgreSQL on Latenode, follow these steps:
Can I automatically back up LiveChat transcripts to PostgreSQL?
Yes, you can. Latenode’s visual editor makes it easy to automate backups. This ensures data security and provides a central repository for all your customer interactions.
What types of tasks can I perform by integrating LiveChat with PostgreSQL?
Integrating LiveChat with PostgreSQL allows you to perform various tasks, including:
How do I filter specific chat data before saving to PostgreSQL?
Latenode allows you to use Javascript code blocks to filter and transform chat data before it's saved into your PostgreSQL database.
Are there any limitations to the LiveChat and PostgreSQL integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: