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

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


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Configure the Getresponse
Click on the Getresponse node to configure it. You can modify the Getresponse 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 Getresponse 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 Getresponse 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 Getresponse 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Getresponse, 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 Getresponse and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Getresponse 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 Getresponse and Google Cloud BigQuery (REST)
Getresponse + Google Cloud BigQuery (REST) + Google Sheets: Analyze Getresponse email campaign data by inserting it into BigQuery, then create visualizations in Google Sheets based on the query results.
Google Cloud BigQuery (REST) + Getresponse + Slack: Monitor campaign ROI in BigQuery. When a significant shift is detected via a new row in BigQuery, trigger an alert in Slack to notify the marketing team.
Getresponse and Google Cloud BigQuery (REST) integration alternatives

About Getresponse
Use Getresponse in Latenode to automate email marketing tasks within larger workflows. Trigger campaigns based on data from your CRM, database, or other apps. Latenode lets you customize logic with JavaScript or AI, parse data, and control the entire flow visually. Send targeted emails based on user actions.
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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 Getresponse and Google Cloud BigQuery (REST)
How can I connect my Getresponse account to Google Cloud BigQuery (REST) using Latenode?
To connect your Getresponse account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Getresponse and click on "Connect".
- Authenticate your Getresponse and Google Cloud BigQuery (REST) accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Getresponse email campaign performance in BigQuery?
Yes, you can! Latenode’s flexible data mapping lets you seamlessly transfer Getresponse data into Google Cloud BigQuery (REST) for advanced analytics and reporting, revealing key insights to improve campaign ROI.
What types of tasks can I perform by integrating Getresponse with Google Cloud BigQuery (REST)?
Integrating Getresponse with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
- Sync new Getresponse contacts to a BigQuery data warehouse.
- Analyze email engagement metrics alongside other business data.
- Create custom reports based on Getresponse campaign performance.
- Automate data backups from Getresponse to Google Cloud BigQuery (REST).
- Enrich Getresponse contact data with insights from BigQuery analysis.
Can I trigger Getresponse automations based on BigQuery data changes?
Yes, with Latenode! Set up workflows that react to changes in your Google Cloud BigQuery (REST) datasets to personalize your Getresponse marketing campaigns dynamically.
Are there any limitations to the Getresponse and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data sync may take time depending on the data volume.
- Complex data transformations might require custom JavaScript code.
- API rate limits of Getresponse and Google Cloud BigQuery (REST) apply.