How to connect Google Dialogflow ES and Google Cloud BigQuery (REST)
Create a New Scenario to Connect Google Dialogflow ES and Google Cloud BigQuery (REST)
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 Google Dialogflow ES, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Dialogflow ES or Google Cloud BigQuery (REST) will be your first step. To do this, click "Choose an app," find Google Dialogflow ES or Google Cloud BigQuery (REST), and select the appropriate trigger to start the scenario.

Add the Google Dialogflow ES Node
Select the Google Dialogflow ES node from the app selection panel on the right.

Google Dialogflow ES
Configure the Google Dialogflow ES
Click on the Google Dialogflow ES node to configure it. You can modify the Google Dialogflow ES 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 Google Dialogflow ES 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 Google Dialogflow ES 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 Google Dialogflow ES and Google Cloud BigQuery (REST) 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.

JavaScript
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AI Anthropic Claude 3
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Google Cloud BigQuery (REST)
Trigger on Webhook
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Google Dialogflow ES
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Webhook response
Save and Activate the Scenario
After configuring Google Dialogflow ES, Google Cloud BigQuery (REST), 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 Google Dialogflow ES and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Google Dialogflow ES and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Dialogflow ES and Google Cloud BigQuery (REST)
Google Dialogflow ES + Google Cloud BigQuery (REST) + Google Sheets: Capture user inputs from Dialogflow, store the conversation data in BigQuery for analysis, and then generate weekly summaries of key conversation insights in Google Sheets.
Google Dialogflow ES + Google Cloud BigQuery (REST) + Slack: Analyze support requests from Dialogflow, identify critical issues based on keywords or sentiment analysis using BigQuery, and then notify relevant teams via Slack with details about the urgent requests.
Google Dialogflow ES and Google Cloud BigQuery (REST) integration alternatives
About Google Dialogflow ES
Use Google Dialogflow ES in Latenode to build smart chatbots and automate customer service tasks. Connect Dialogflow to your databases, CRMs, or other apps for personalized responses. Create visual workflows that handle complex conversations without code, adding custom logic with JavaScript where needed. Scale your AI-powered interactions using Latenode's flexible automation platform.
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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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FAQ Google Dialogflow ES and Google Cloud BigQuery (REST)
How can I connect my Google Dialogflow ES account to Google Cloud BigQuery (REST) using Latenode?
To connect your Google Dialogflow ES account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Dialogflow ES and click on "Connect".
- Authenticate your Google Dialogflow ES and Google Cloud BigQuery (REST) accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze chatbot conversations for sentiment via BigQuery?
Yes, you can! Latenode allows seamless data transfer. Extract Dialogflow ES data, send it to BigQuery, and use BigQuery's analytics for sentiment analysis. Improve customer service with insights.
What types of tasks can I perform by integrating Google Dialogflow ES with Google Cloud BigQuery (REST)?
Integrating Google Dialogflow ES with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
- Storing chatbot conversation data for long-term analysis.
- Creating dashboards to visualize chatbot performance metrics.
- Triggering automated actions based on data insights.
- Building custom reports on user interactions and trends.
- Analyzing customer satisfaction scores based on chatbot feedback.
How do I handle different response types in my Dialogflow ES agent?
Latenode's flexible data mapping allows you to parse and transform various Dialogflow ES response formats for use in BigQuery, ensuring compatibility and data integrity.
Are there any limitations to the Google Dialogflow ES and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may be subject to Google Cloud BigQuery (REST) API rate limits.
- Custom JavaScript code might be required for advanced data transformations.
- Complex Dialogflow ES agent designs may need adjustments for optimal data extraction.