How to connect 123FormBuilder and Google Cloud BigQuery
Create a New Scenario to Connect 123FormBuilder and Google Cloud BigQuery
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 123FormBuilder, triggered by another scenario, or executed manually (for testing purposes). In most cases, 123FormBuilder or Google Cloud BigQuery will be your first step. To do this, click "Choose an app," find 123FormBuilder or Google Cloud BigQuery, and select the appropriate trigger to start the scenario.

Add the 123FormBuilder Node
Select the 123FormBuilder node from the app selection panel on the right.

123FormBuilder
Configure the 123FormBuilder
Click on the 123FormBuilder node to configure it. You can modify the 123FormBuilder URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Cloud BigQuery Node
Next, click the plus (+) icon on the 123FormBuilder node, select Google Cloud BigQuery from the list of available apps, and choose the action you need from the list of nodes within Google Cloud BigQuery.

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Authenticate Google Cloud BigQuery
Now, click the Google Cloud BigQuery 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 settings. Authentication allows you to use Google Cloud BigQuery through Latenode.
Configure the 123FormBuilder and Google Cloud BigQuery 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 123FormBuilder and Google Cloud BigQuery 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 123FormBuilder, Google Cloud BigQuery, 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 123FormBuilder and Google Cloud BigQuery integration works as expected. Depending on your setup, data should flow between 123FormBuilder and Google Cloud BigQuery (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect 123FormBuilder and Google Cloud BigQuery
123FormBuilder + Google Sheets: When a new submission is made in 123FormBuilder, the data is automatically added to a Google Sheets spreadsheet for easy analysis and visualization.
123FormBuilder + Google Sheets + Slack: When a new submission is received in 123FormBuilder, the data will be added to Google Sheets. If a new row is added in google sheets a slack notification will be sent.
123FormBuilder and Google Cloud BigQuery integration alternatives
About 123FormBuilder
Streamline data collection by connecting 123FormBuilder to Latenode. Automatically trigger workflows when forms are submitted. Route form data to CRMs, databases, or email marketing tools. Use Latenode to validate entries, calculate scores, and manage follow-ups — automating processes with a no-code, scalable workflow.
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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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See how Latenode works
FAQ 123FormBuilder and Google Cloud BigQuery
How can I connect my 123FormBuilder account to Google Cloud BigQuery using Latenode?
To connect your 123FormBuilder account to Google Cloud BigQuery on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select 123FormBuilder and click on "Connect".
- Authenticate your 123FormBuilder and Google Cloud BigQuery accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze survey responses in real time?
Yes, with Latenode, instantly send 123FormBuilder submissions to Google Cloud BigQuery for real-time analysis. Benefit from advanced filtering and transformation using JavaScript blocks.
What types of tasks can I perform by integrating 123FormBuilder with Google Cloud BigQuery?
Integrating 123FormBuilder with Google Cloud BigQuery allows you to perform various tasks, including:
- Automatically backing up form data from 123FormBuilder to BigQuery.
- Analyzing trends from form submissions using BigQuery's analytics tools.
- Creating custom reports based on the submitted form data in real time.
- Triggering alerts based on specific data points in 123FormBuilder entries.
- Enriching form data with external data sources via BigQuery datasets.
Whattypesofdatafrom123FormBuildercanIaccesswithinLatenode?
Latenode provides access to all submission data, form fields, and metadata from 123FormBuilder, allowing for granular control and custom workflows.
Are there any limitations to the 123FormBuilder and Google Cloud BigQuery integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large datasets may experience processing delays depending on BigQuery's capacity.
- Complex data transformations might require intermediate steps using JavaScript.
- Real-time analysis depends on the polling frequency configured in Latenode.