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

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

Qwilr
Add the Google Cloud BigQuery Node
Next, click the plus (+) icon on the Qwilr node, select Google Cloud BigQuery from the list of available apps, and choose the action you need from the list of nodes within Google Cloud BigQuery.

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Authenticate Google Cloud BigQuery
Now, click the Google Cloud BigQuery 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 settings. Authentication allows you to use Google Cloud BigQuery through Latenode.
Configure the Qwilr and Google Cloud BigQuery 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 Qwilr and Google Cloud BigQuery 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 Qwilr, Google Cloud BigQuery, 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 Qwilr and Google Cloud BigQuery integration works as expected. Depending on your setup, data should flow between Qwilr and Google Cloud BigQuery (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Qwilr and Google Cloud BigQuery
Qwilr + Slack: When a Qwilr proposal is accepted, send a notification to a dedicated Slack channel to inform the sales team.
HubSpot + Qwilr: When a new deal is created in HubSpot, create a personalized Qwilr proposal.
Qwilr and Google Cloud BigQuery integration alternatives
About Qwilr
Automate Qwilr quote creation inside Latenode workflows. Automatically generate Qwilr proposals when triggered by new CRM leads or form submissions. Send data to Qwilr, then use Latenode to track views, trigger follow-ups, and update your database—no manual data entry needed. Scale personalized sales flows with ease.
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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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See how Latenode works
FAQ Qwilr and Google Cloud BigQuery
How can I connect my Qwilr account to Google Cloud BigQuery using Latenode?
To connect your Qwilr account to Google Cloud BigQuery on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Qwilr and click on "Connect".
- Authenticate your Qwilr and Google Cloud BigQuery accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze proposal data in BigQuery?
Yes, you can! With Latenode, automate data exports from Qwilr to BigQuery, providing advanced analytics and business intelligence. Scale insights without coding.
What types of tasks can I perform by integrating Qwilr with Google Cloud BigQuery?
Integrating Qwilr with Google Cloud BigQuery allows you to perform various tasks, including:
- Automatically exporting Qwilr proposal data to Google Cloud BigQuery.
- Analyzing win/loss rates based on proposal content.
- Creating custom dashboards with Qwilr data in Google Data Studio.
- Tracking proposal engagement metrics for sales optimization.
- Building machine learning models to predict proposal success.
Can I use JavaScript to transform Qwilr data before loading it?
Yes, Latenode allows you to use JavaScript code blocks to transform Qwilr data before loading it into Google Cloud BigQuery for custom data cleansing.
Are there any limitations to the Qwilr and Google Cloud BigQuery integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data sync may take time depending on Qwilr account size.
- Complex data transformations may require JavaScript coding.
- BigQuery costs depend on query complexity and data volume.