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

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

CloudConvert
Configure the CloudConvert
Click on the CloudConvert node to configure it. You can modify the CloudConvert URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Cloud BigQuery (REST) Node
Next, click the plus (+) icon on the CloudConvert 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 CloudConvert 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 CloudConvert 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 CloudConvert, 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 CloudConvert and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between CloudConvert 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 CloudConvert and Google Cloud BigQuery (REST)
CloudConvert + Google Cloud Storage + Google Cloud BigQuery (REST): When a new job finishes in CloudConvert, the converted file is uploaded to Google Cloud Storage, and the file's details are then logged in Google Cloud BigQuery.
Google Cloud BigQuery (REST) + CloudConvert + Google Sheets: When a new row is added to BigQuery, relevant data is extracted and converted to a PDF using CloudConvert, and finally, a summary report is added to Google Sheets.
CloudConvert and Google Cloud BigQuery (REST) integration alternatives
About CloudConvert
Need to convert files as part of your automation? Integrate CloudConvert into Latenode to automatically transform documents, images, audio, and video formats. Automate media processing workflows, optimize file sizes for storage, and ensure compatibility across platforms—all within Latenode's visual, scalable environment.
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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
FAQ CloudConvert and Google Cloud BigQuery (REST)
How can I connect my CloudConvert account to Google Cloud BigQuery (REST) using Latenode?
To connect your CloudConvert account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select CloudConvert and click on "Connect".
- Authenticate your CloudConvert and Google Cloud BigQuery (REST) accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically convert files and store them in BigQuery?
Yes, you can! Latenode allows automating this with a visual workflow, ensuring files are converted via CloudConvert and saved to Google Cloud BigQuery (REST) without manual steps, saving time and ensuring data consistency.
What types of tasks can I perform by integrating CloudConvert with Google Cloud BigQuery (REST)?
Integrating CloudConvert with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
- Automatically convert new files to desired formats and load into BigQuery.
- Process large batches of files via CloudConvert and archive in BigQuery.
- Trigger conversions based on data changes within Google Cloud BigQuery (REST).
- Schedule regular exports from CloudConvert into a BigQuery data warehouse.
- Archive converted media files to BigQuery for long-term storage and analysis.
HowdoesLatenodehandleconcurrencywithCloudConvertandBigQuery?
Latenode manages concurrency efficiently, allowing multiple CloudConvert conversions to run in parallel and load data into Google Cloud BigQuery (REST), scaling with your needs.
Are there any limitations to the CloudConvert and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large file conversions may be subject to CloudConvert's processing time.
- BigQuery quotas and limits can impact high-volume data loading.
- Complex transformations may require custom JavaScript within Latenode.