LiveChat and Database Integration

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Automatically save LiveChat transcripts and customer data to your Database for analysis, reporting, and improved customer service. Latenode offers flexible API integration plus affordable per-execution pricing.

Swap Apps

LiveChat

Database

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect LiveChat and Database

Create a New Scenario to Connect LiveChat and Database

In the workspace, click the โ€œCreate New Scenarioโ€ button.

Add the First Step

Add the first node โ€“ 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 Database will be your first step. To do this, click "Choose an app," find LiveChat or Database, 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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Run node once

Add the Database Node

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

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Database

Authenticate Database

Now, click the Database node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Database settings. Authentication allows you to use Database through Latenode.

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Configure the LiveChat and Database 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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Run node once

Set Up the LiveChat and Database 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 donโ€™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 LiveChat, Database, and any additional nodes, donโ€™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 โ€œRun onceโ€ and triggering an event to check if the LiveChat and Database integration works as expected. Depending on your setup, data should flow between LiveChat and Database (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 Database

LiveChat + Database + Slack: When a chat is deactivated in LiveChat, the transcript details are saved to a database. A notification is then sent to a designated Slack channel to inform the support team.

Database + LiveChat + Google Sheets: When a new customer issue is recorded in the database, it triggers a LiveChat session to address the issue. The details of the issue are then logged in a Google Sheet for tracking and analysis.

LiveChat and Database 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 โ€“ all visually, and without code.

About Database

Use Database in Latenode to centralize data and build dynamic workflows. Pull data, update records, and trigger actions based on database changes. Automate inventory updates, CRM sync, or lead qualification, and orchestrate complex processes with custom logic, no-code tools, and efficient pay-per-use pricing.

See how Latenode works

FAQ LiveChat and Database

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

To connect your LiveChat account to Database 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 Database accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I store LiveChat transcripts in a database?

Yes! Latenode allows you to automatically store LiveChat transcripts in your Database. Leverage Latenode's no-code interface and JavaScript blocks for flexible data manipulation and archiving.

What types of tasks can I perform by integrating LiveChat with Database?

Integrating LiveChat with Database allows you to perform various tasks, including:

  • Automatically saving new LiveChat conversations into a database.
  • Updating customer records in your database based on chat activity.
  • Triggering database actions based on LiveChat events.
  • Analyzing chat transcripts to identify key customer issues.
  • Creating database backups of your LiveChat conversation history.

How do I ensure data security when transferring LiveChat data to Database?

Latenode uses secure connections and encryption protocols to protect your data during transfer. Control data flow with custom logic and permission settings.

Are there any limitations to the LiveChat and Database integration on Latenode?

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

  • Large file attachments in LiveChat may impact workflow performance.
  • Complex database schemas may require advanced configuration.
  • Real-time data synchronization depends on the API rate limits.

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