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How to connect Fillout and Google Cloud BigQuery (REST)
Create a New Scenario to Connect Fillout 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 Fillout, triggered by another scenario, or executed manually (for testing purposes). In most cases, Fillout or Google Cloud BigQuery (REST) will be your first step. To do this, click "Choose an app," find Fillout or Google Cloud BigQuery (REST), and select the appropriate trigger to start the scenario.
Add the Fillout Node
Select the Fillout node from the app selection panel on the right.
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Add the Google Cloud BigQuery (REST) Node
Next, click the plus (+) icon on the Fillout 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 Fillout 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 Fillout 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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Save and Activate the Scenario
After configuring Fillout, 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 Fillout and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Fillout 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 Fillout and Google Cloud BigQuery (REST)
Fillout + Google Cloud BigQuery (REST) + Slack: When a new submission is received in Fillout, the submission data is inserted as a new row in a Google Cloud BigQuery table. Subsequently, a message is sent to a Slack channel to notify the team about the new submission.
Google Cloud BigQuery (REST) + Fillout + Google Sheets: When a new table is created in BigQuery, a Fillout form can be created using the table's metadata. Data is then pulled into Google Sheets.
Fillout and Google Cloud BigQuery (REST) integration alternatives
About Fillout
Use Fillout forms in Latenode to collect data and instantly trigger workflows. Instead of manual exports, automate follow-ups, database updates, or personalized emails based on form responses. Latenode lets you parse, transform, and route Fillout data to any app with full control and no per-step pricing.
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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
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FAQ Fillout and Google Cloud BigQuery (REST)
How can I connect my Fillout account to Google Cloud BigQuery (REST) using Latenode?
To connect your Fillout account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Fillout and click on "Connect".
- Authenticate your Fillout and Google Cloud BigQuery (REST) accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze form responses in BigQuery?
Yes, you can! Latenode makes it easy to pipe Fillout data into BigQuery. Analyze responses, build custom reports, and gain deeper insights, all without coding.
What types of tasks can I perform by integrating Fillout with Google Cloud BigQuery (REST)?
Integrating Fillout with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
- Store form submission data directly into BigQuery tables.
- Automatically update BigQuery datasets upon new Fillout submissions.
- Create real-time dashboards from Fillout responses.
- Trigger automated reports based on form data trends.
- Enrich form data with other data sources in BigQuery.
How easily can I transform data from Fillout before sending to BigQuery?
Latenode's data transformation tools, including JavaScript blocks, let you reshape Fillout data to fit your BigQuery schema perfectly.
Are there any limitations to the Fillout and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations might require JavaScript knowledge.
- BigQuery costs can increase with high volumes of submissions.
- Initial setup requires familiarity with BigQuery datasets.
