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

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Authenticate ConvertAPI
Now, click the ConvertAPI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your ConvertAPI settings. Authentication allows you to use ConvertAPI through Latenode.
Configure the Google Cloud BigQuery and ConvertAPI 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 ConvertAPI 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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AI Anthropic Claude 3
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Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery, ConvertAPI, 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 ConvertAPI integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and ConvertAPI (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 ConvertAPI
Google Drive + ConvertAPI + Google Drive: When a new or modified file is detected in Google Drive, it is converted to a specified format using ConvertAPI. The converted file is then uploaded to a designated folder in Google Drive for archiving.
ConvertAPI + Google Cloud BigQuery + Slack: When a file is converted using ConvertAPI, the details of the conversion (e.g., file name, conversion status) are logged in Google Cloud BigQuery. A Slack message is then sent to a specified channel to notify the team about the conversion and its details, allowing for analysis and tracking.
Google Cloud BigQuery and ConvertAPI 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 ConvertAPI
Automate file conversions within Latenode. ConvertAPI handles PDFs, images, documents, and more. Instead of manual uploads or custom code, build automated workflows to convert files as they arrive, then parse data or trigger follow-up actions. Scales easily, no coding needed.
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See how Latenode works
FAQ Google Cloud BigQuery and ConvertAPI
How can I connect my Google Cloud BigQuery account to ConvertAPI using Latenode?
To connect your Google Cloud BigQuery account to ConvertAPI 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 ConvertAPI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I convert BigQuery data to PDF using ConvertAPI?
Yes, you can! Latenode simplifies this by automating the data extraction, conversion, and delivery. This saves time and ensures accurate reporting with no coding required.
What types of tasks can I perform by integrating Google Cloud BigQuery with ConvertAPI?
Integrating Google Cloud BigQuery with ConvertAPI allows you to perform various tasks, including:
- Automating report generation from BigQuery data to shareable PDFs.
- Converting query results into accessible formats for non-technical teams.
- Creating dynamic dashboards by converting database insights into visual reports.
- Archiving BigQuery data as PDF documents for compliance purposes.
- Transforming large datasets into smaller, manageable PDF summaries.
What BigQuery data formats are supported for ConvertAPI conversion?
Latenode supports various formats, including JSON and CSV, handled automatically. JavaScript blocks offer even greater data transformation control.
Are there any limitations to the Google Cloud BigQuery and ConvertAPI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large BigQuery datasets may require optimized queries for efficient conversion.
- Complex formatting in ConvertAPI may require a paid ConvertAPI plan.
- Real-time conversions depend on the APIs' rate limits and network conditions.