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

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HeyGen

Authenticate HeyGen
Now, click the HeyGen node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your HeyGen settings. Authentication allows you to use HeyGen through Latenode.
Configure the Google Cloud BigQuery and HeyGen 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 HeyGen 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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HeyGen
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, HeyGen, 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 HeyGen integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and HeyGen (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 HeyGen
Google Sheets + HeyGen + Slack: When a new row is added to a Google Sheet, a HeyGen video is generated from a template. Once the video is ready, a message containing the video link is sent to a Slack channel.
HeyGen + Google Sheets + Slack: When a new HeyGen video is created, retrieve the video details and update a Google Sheet with the video information. Then, send a Slack message to notify users that the Google Sheet has been updated.
Google Cloud BigQuery and HeyGen 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 HeyGen
Use HeyGen in Latenode to automate personalized video creation. Generate videos from data (CRM leads, spreadsheets) and auto-post to social media or send via email. Create scalable workflows without code, use JS for fine-tuning, and track versions to manage video assets efficiently.
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See how Latenode works
FAQ Google Cloud BigQuery and HeyGen
How can I connect my Google Cloud BigQuery account to HeyGen using Latenode?
To connect your Google Cloud BigQuery account to HeyGen 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 HeyGen accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate video creation based on BigQuery data?
Yes, you can! Latenode's visual editor and scripting blocks allow you to trigger HeyGen video creation based on data analysis in Google Cloud BigQuery, automating personalized video generation.
What types of tasks can I perform by integrating Google Cloud BigQuery with HeyGen?
Integrating Google Cloud BigQuery with HeyGen allows you to perform various tasks, including:
- Generate personalized video reports using data from Google Cloud BigQuery.
- Create dynamic marketing videos based on real-time analytics data.
- Automate video summaries of large datasets stored in Google Cloud BigQuery.
- Trigger video updates based on changes in your Google Cloud BigQuery database.
- Create training videos based on user behavior data analyzed in Google Cloud BigQuery.
Can I use JavaScript code with my Google Cloud BigQuery integration?
Yes, Latenode allows you to incorporate custom JavaScript code for complex transformations and logic within your Google Cloud BigQuery workflows.
Are there any limitations to the Google Cloud BigQuery and HeyGen integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large datasets in Google Cloud BigQuery might require optimized queries for efficient processing.
- HeyGen's video generation speed depends on the complexity and length of the video.
- Real-time data updates depend on the polling frequency configured in Latenode.