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Enrich LiveChat interactions by instantly storing chat transcripts and user data in Fauna. Latenode’s visual editor simplifies complex data flows, while affordable execution-based pricing makes scaling effortless, even with advanced JavaScript logic.
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LiveChat
Fauna
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Create a New Scenario to Connect LiveChat and Fauna
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 Fauna will be your first step. To do this, click "Choose an app," find LiveChat or Fauna, 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 Fauna Node
Next, click the plus (+) icon on the LiveChat node, select Fauna from the list of available apps, and choose the action you need from the list of nodes within Fauna.
LiveChat
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Fauna
Authenticate Fauna
Now, click the Fauna node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Fauna settings. Authentication allows you to use Fauna through Latenode.
Configure the LiveChat and Fauna 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 Fauna 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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Fauna
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, Fauna, 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 Fauna integration works as expected. Depending on your setup, data should flow between LiveChat and Fauna (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
LiveChat + Fauna + Slack: When a chat is deactivated in LiveChat, the transcript data is saved to a Fauna database. Then, a summary of the chat is posted to a designated Slack channel.
Fauna + LiveChat + Google Sheets: When a new document is added or removed in a Fauna collection (representing customer support feedback), the data is then stored in a Google Sheet. Finally, a message is sent via LiveChat to notify support team about the update.
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.
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About Fauna
Use Fauna in Latenode to build scalable, globally distributed data workflows. Automate user authentication or financial data handling with Fauna's ACID compliance. Integrate it into visual flows for real-time updates and simplified data consistency across all your connected apps.
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How can I connect my LiveChat account to Fauna using Latenode?
To connect your LiveChat account to Fauna on Latenode, follow these steps:
Can I automatically backup LiveChat transcripts to Fauna?
Yes, you can! Latenode's visual editor makes it easy to automate transcript backups, providing a secure and scalable repository for all your LiveChat data using Fauna's flexible database.
What types of tasks can I perform by integrating LiveChat with Fauna?
Integrating LiveChat with Fauna allows you to perform various tasks, including:
How does Latenode handle large volumes of LiveChat data?
Latenode's serverless architecture scales automatically to manage high LiveChat data volumes, ensuring reliable integration and performance even during peak times.
Are there any limitations to the LiveChat and Fauna integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: