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

Add the Mixpanel Node
Select the Mixpanel node from the app selection panel on the right.


Mixpanel

Configure the Mixpanel
Click on the Mixpanel node to configure it. You can modify the Mixpanel 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 Mixpanel 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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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 Mixpanel 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 Mixpanel 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.

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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring Mixpanel, 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 Mixpanel and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Mixpanel 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 Mixpanel and Google Cloud BigQuery (REST)
Mixpanel + Slack: When a specific event is tracked in Mixpanel, a message is sent to a designated Slack channel to alert the team about user behavior trends.
Mixpanel + Airtable: When a new record is created in Airtable, it's triggered by a Mixpanel event. This event data helps populate and update the Airtable record, providing insights into user behavior.
Mixpanel and Google Cloud BigQuery (REST) integration alternatives

About Mixpanel
Use Mixpanel in Latenode to automate event tracking and user segmentation. Send data to Mixpanel from any Latenode workflow or trigger actions based on Mixpanel insights. Identify trends and automate responses without manual exports. Integrate Mixpanel with other apps for a 360° view of your users, all visually configured and easily maintained.
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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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See how Latenode works
FAQ Mixpanel and Google Cloud BigQuery (REST)
How can I connect my Mixpanel account to Google Cloud BigQuery (REST) using Latenode?
To connect your Mixpanel account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Mixpanel and click on "Connect".
- Authenticate your Mixpanel and Google Cloud BigQuery (REST) accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Mixpanel data trends in BigQuery?
Yes, you can! Latenode's flexible data transformation lets you reshape Mixpanel data before loading it into BigQuery for in-depth analysis and custom reporting.
What types of tasks can I perform by integrating Mixpanel with Google Cloud BigQuery (REST)?
Integrating Mixpanel with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
- Backing up Mixpanel event data to a BigQuery data warehouse.
- Creating custom reports using combined Mixpanel and other data.
- Analyzing user behavior trends with advanced SQL queries.
- Automating data exports from Mixpanel on a recurring schedule.
- Enriching Mixpanel data with external data sources in BigQuery.
How do I handle large volumes of Mixpanel data in Latenode?
Latenode is built for scale. Efficient data processing and batch operations ensure smooth handling of large Mixpanel datasets, preventing bottlenecks.
Are there any limitations to the Mixpanel and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may take time depending on data volume.
- Complex data transformations may require JavaScript knowledge.
- BigQuery costs are separate and depend on your usage.