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Analyze LiveChat transcripts in Google Cloud BigQuery (REST) for insights using Latenode. Build custom logic with JavaScript and scale affordably, paying only for execution time, not per step.
Connect LiveChat and Google Cloud BigQuery (REST) in minutes with Latenode.
Create LiveChat to Google Cloud BigQuery (REST) workflow
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Create a New Scenario to Connect LiveChat and Google Cloud BigQuery (REST)
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 LiveChat, triggered by another scenario, or executed manually (for testing purposes). In most cases, LiveChat or Google Cloud BigQuery (REST) will be your first step. To do this, click "Choose an app," find LiveChat or Google Cloud BigQuery (REST), 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 Google Cloud BigQuery (REST) Node
Next, click the plus (+) icon on the LiveChat node, select Google Cloud BigQuery (REST) from the list of available apps, and choose the action you need from the list of nodes within Google Cloud BigQuery (REST).
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Google Cloud BigQuery (REST)
Authenticate Google Cloud BigQuery (REST)
Now, click the Google Cloud BigQuery (REST) node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud BigQuery (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.
Configure the LiveChat and Google Cloud BigQuery (REST) 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 Google Cloud BigQuery (REST) 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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Google Cloud BigQuery (REST)
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, Google Cloud BigQuery (REST), 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 LiveChat and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between LiveChat and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
LiveChat + Google Cloud BigQuery (REST) + Google Sheets: When a chat is deactivated in LiveChat, the transcript data is sent to Google Cloud BigQuery. BigQuery analyzes the sentiment of the transcript and then the results are written to a Google Sheet for visualization and trend analysis.
Google Cloud BigQuery (REST) + LiveChat + Slack: BigQuery monitors support ticket volume using a query. When an unusual spike is detected based on the query results, a Slack message is sent to support managers alerting them to monitor LiveChat activity.
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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About Google Cloud BigQuery (REST)
Automate BigQuery data workflows in Latenode. Query and analyze massive datasets directly within your automation scenarios, bypassing manual SQL. Schedule queries, transform results with JavaScript, and pipe data to other apps. Scale your data processing without complex coding or expensive per-operation fees. Perfect for reporting, analytics, and data warehousing automation.
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How can I connect my LiveChat account to Google Cloud BigQuery (REST) using Latenode?
To connect your LiveChat account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
Can I analyze chat sentiment using LiveChat and Google Cloud BigQuery (REST) integration?
Yes, you can! Latenode allows you to use AI blocks to analyze chat sentiment and store results in BigQuery for insights. Improve customer service and identify trends with ease.
What types of tasks can I perform by integrating LiveChat with Google Cloud BigQuery (REST)?
Integrating LiveChat with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
How can I trigger automations based on LiveChat events?
You can use LiveChat triggers in Latenode to start workflows. Automate tasks when a new chat starts, or when a chat ends.
Are there any limitations to the LiveChat and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: