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

Add the Google Cloud BigQuery Node
Select the Google Cloud BigQuery node from the app selection panel on the right.

Google Cloud BigQuery
Configure the Google Cloud BigQuery
Click on the Google Cloud BigQuery node to configure it. You can modify the Google Cloud BigQuery URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the AWeber Node
Next, click the plus (+) icon on the Google Cloud BigQuery node, select AWeber from the list of available apps, and choose the action you need from the list of nodes within AWeber.

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AWeber

Authenticate AWeber
Now, click the AWeber node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AWeber settings. Authentication allows you to use AWeber through Latenode.
Configure the Google Cloud BigQuery and AWeber 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 Cloud BigQuery and AWeber 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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AWeber
Trigger on Webhook
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Google Cloud BigQuery
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery, AWeber, 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 Cloud BigQuery and AWeber integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and AWeber (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud BigQuery and AWeber
AWeber + Google Sheets: When a new subscriber is added to AWeber, their information is added as a new row in Google Sheets. This allows for easy tracking and analysis of AWeber subscriber data within Google Sheets.
AWeber + Shopify + Google Sheets: When a new subscriber is added to AWeber, the system finds or creates a customer in Shopify. Then the new customer data is saved into Google Sheets.
Google Cloud BigQuery and AWeber integration alternatives
About Google Cloud BigQuery
Use Google Cloud BigQuery in Latenode to automate data warehousing tasks. Query, analyze, and transform huge datasets as part of your workflows. Schedule data imports, trigger reports, or feed insights into other apps. Automate complex analysis without code and scale your insights with Latenode’s flexible, pay-as-you-go platform.
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About AWeber
Automate email marketing with AWeber in Latenode. Sync subscriber data across platforms, trigger campaigns from various events, and personalize messaging based on real-time data. Latenode provides flexible data transformation and routing that AWeber alone can't offer. Build complex, multi-platform workflows and scale without limits.
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See how Latenode works
FAQ Google Cloud BigQuery and AWeber
How can I connect my Google Cloud BigQuery account to AWeber using Latenode?
To connect your Google Cloud BigQuery account to AWeber on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery and click on "Connect".
- Authenticate your Google Cloud BigQuery and AWeber accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I sync BigQuery data with AWeber subscriber lists?
Yes, you can! Latenode simplifies data synchronization, allowing you to automatically update AWeber subscriber lists based on insights derived from Google Cloud BigQuery data analysis.
What types of tasks can I perform by integrating Google Cloud BigQuery with AWeber?
Integrating Google Cloud BigQuery with AWeber allows you to perform various tasks, including:
- Automatically segment AWeber subscribers based on BigQuery data.
- Personalize email campaigns using data-driven insights.
- Trigger AWeber automations from new BigQuery data entries.
- Update subscriber custom fields with BigQuery analytics.
- Analyze campaign performance using combined BigQuery and AWeber data.
What data formats does BigQuery use within Latenode workflows?
Latenode supports JSON and CSV formats, ensuring seamless data transfer. Use JavaScript nodes to transform data when needed.
Are there any limitations to the Google Cloud BigQuery and AWeber integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data mapping requires careful configuration for optimal results.
- Large data transfers may be subject to Google Cloud BigQuery API rate limits.
- Complex data transformations might need custom JavaScript code.