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

Add the Google Cloud BigQuery (REST) Node
Select the Google Cloud BigQuery (REST) node from the app selection panel on the right.

Google Cloud BigQuery (REST)
Configure the Google Cloud BigQuery (REST)
Click on the Google Cloud BigQuery (REST) node to configure it. You can modify the Google Cloud BigQuery (REST) URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Docusign Node
Next, click the plus (+) icon on the Google Cloud BigQuery (REST) node, select Docusign from the list of available apps, and choose the action you need from the list of nodes within Docusign.

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Authenticate Docusign
Now, click the Docusign node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Docusign settings. Authentication allows you to use Docusign through Latenode.
Configure the Google Cloud BigQuery (REST) and Docusign 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 (REST) and Docusign 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 (REST), Docusign, 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 (REST) and Docusign integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Docusign (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 (REST) and Docusign
Docusign + Google Cloud BigQuery (REST) + Slack: When an envelope's status is updated in Docusign, the data about the envelope is inserted into a Google Cloud BigQuery table. Then, a message is sent to a Slack channel notifying about the contract status change.
Docusign + Google Cloud BigQuery (REST) + Salesforce: When an envelope is updated in Docusign, the data is inserted into a BigQuery table. Then, Salesforce is updated to reflect the Docusign activity.
Google Cloud BigQuery (REST) and Docusign integration alternatives
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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About Docusign
Integrate DocuSign with Latenode to automate contract workflows. Automatically send, track, and store signed documents. Trigger actions based on signature status, update databases, and alert teams. Latenode adds flexible logic and integrations beyond standard DocuSign options, with pay-per-execution pricing and visual flow design.
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See how Latenode works
FAQ Google Cloud BigQuery (REST) and Docusign
How can I connect my Google Cloud BigQuery (REST) account to Docusign using Latenode?
To connect your Google Cloud BigQuery (REST) account to Docusign on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery (REST) and click on "Connect".
- Authenticate your Google Cloud BigQuery (REST) and Docusign accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate document generation based on BigQuery data?
Yes, you can! Latenode allows you to automatically generate documents using BigQuery data and send them for signature via Docusign, streamlining your data-driven document workflows.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Docusign?
Integrating Google Cloud BigQuery (REST) with Docusign allows you to perform various tasks, including:
- Automatically send contracts stored in BigQuery for Docusign signature.
- Update BigQuery tables with signature status from Docusign.
- Trigger document creation in Docusign based on BigQuery data changes.
- Generate reports from BigQuery and send via Docusign for approval.
- Archive signed documents from Docusign into Google Cloud BigQuery (REST).
Can I use JavaScript to transform data between BigQuery and Docusign?
Yes! Latenode lets you use JavaScript code blocks to manipulate data, ensuring seamless data transformations between Google Cloud BigQuery (REST) and Docusign.
Are there any limitations to the Google Cloud BigQuery (REST) and Docusign 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 processing.
- Complex Docusign templates may need careful configuration within Latenode.
- API rate limits for both services should be considered in high-volume workflows.