LiveChat and PostgreSQL Integration

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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.

Swap Apps

LiveChat

PostgreSQL

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect LiveChat and PostgreSQL

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.

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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.

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LiveChat

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#1 LiveChat

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Connect LiveChat

Sign In

Run node once

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.

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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.

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LiveChat

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PostgreSQL

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Sign In

Run node once

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.

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PostgreSQL Oauth 2.0

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Select an action *

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The action ID

Run node once

Set Up the LiveChat and PostgreSQL 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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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.

Most powerful ways to connect LiveChat and PostgreSQL

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.

LiveChat and PostgreSQL integration alternatives

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.

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.

See how Latenode works

FAQ LiveChat and PostgreSQL

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

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

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

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:

  • Storing chat transcripts for long-term analysis.
  • Updating customer profiles based on chat interactions.
  • Triggering automated reports on chat support performance.
  • Creating searchable archives of all past conversations.
  • Segmenting customers based on support requests.

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:

  • Rate limits imposed by the LiveChat API can affect data transfer speed.
  • Complex data transformations may require advanced JavaScript knowledge.
  • Initial setup requires understanding of PostgreSQL database structure.

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