How to connect Google Cloud BigQuery and Captions
Create a New Scenario to Connect Google Cloud BigQuery and Captions
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 Captions will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Captions, 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 Captions Node
Next, click the plus (+) icon on the Google Cloud BigQuery node, select Captions from the list of available apps, and choose the action you need from the list of nodes within Captions.

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Authenticate Captions
Now, click the Captions node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Captions settings. Authentication allows you to use Captions through Latenode.
Configure the Google Cloud BigQuery and Captions 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 Captions 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 Google Cloud BigQuery, Captions, 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 Captions integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Captions (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 Captions
Captions + Google Drive: Automatically upload a transcription file to Google Drive after it is generated by Captions, ensuring a secure backup and easy access.
Captions + Google Cloud BigQuery + Slack: When a video is processed by Captions, analyze the caption data in BigQuery and then post a summary report to a designated Slack channel.
Google Cloud BigQuery and Captions 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 Captions
Need accurate, automated captions for videos? Integrate Captions with Latenode to generate and sync subtitles across platforms. Automate video accessibility for marketing, training, or support. Latenode adds scheduling, file handling, and error control to Captions, making scalable captioning workflows simple and efficient.
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FAQ Google Cloud BigQuery and Captions
How can I connect my Google Cloud BigQuery account to Captions using Latenode?
To connect your Google Cloud BigQuery account to Captions 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 Captions accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate report generation based on BigQuery data in Captions?
Yes, with Latenode! Automate report creation using data from Google Cloud BigQuery in Captions. Latenode's AI and scheduling features streamline the process, saving you time and resources.
What types of tasks can I perform by integrating Google Cloud BigQuery with Captions?
Integrating Google Cloud BigQuery with Captions allows you to perform various tasks, including:
- Automatically creating video captions from data insights in Google Cloud BigQuery.
- Generating reports in Captions based on aggregated metrics from BigQuery datasets.
- Creating social media content with Captions, driven by data analysis from BigQuery.
- Updating video content in Captions based on real-time information from Google Cloud BigQuery.
- Triggering Captions video editing tasks based on data thresholds in Google Cloud BigQuery.
Can I use custom SQL queries with Google Cloud BigQuery?
Yes! Latenode supports custom SQL queries, so you can extract specific data from Google Cloud BigQuery and use it in your Captions workflows with ease.
Are there any limitations to the Google Cloud BigQuery and Captions integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large Google Cloud BigQuery datasets might require optimized queries for efficient processing.
- Complex Captions video editing tasks may require more processing time within Latenode.
- Real-time data synchronization depends on the polling interval configured in your workflow.