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

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Authenticate OpenPhone
Now, click the OpenPhone node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenPhone settings. Authentication allows you to use OpenPhone through Latenode.
Configure the Google Cloud BigQuery (REST) and OpenPhone 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 OpenPhone 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), OpenPhone, 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 OpenPhone integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and OpenPhone (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 OpenPhone
OpenPhone + Google Cloud BigQuery (REST) + Slack: When a call ends in OpenPhone (Events from Calls), the call data is sent to Google Cloud BigQuery (REST) (Insert Rows) for analysis. After the data is inserted, a summary is sent to a Slack channel (Send Public Channel Message).
OpenPhone + Google Cloud BigQuery (REST) + Google Sheets: When a call ends in OpenPhone (Events from Calls), call details are logged to Google Cloud BigQuery (REST) (Insert Rows). Then, a daily summary of the call data from BigQuery is written to a Google Sheet (Add Multiple Rows).
Google Cloud BigQuery (REST) and OpenPhone 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 OpenPhone
Use OpenPhone in Latenode to automate SMS and call workflows. Log activities, trigger actions based on call outcomes, and sync data to CRMs. By using Latenode, you orchestrate OpenPhone within complex workflows, adding logic and integrations not available in OpenPhone alone. Scale customer communication using no-code tools and AI.
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FAQ Google Cloud BigQuery (REST) and OpenPhone
How can I connect my Google Cloud BigQuery (REST) account to OpenPhone using Latenode?
To connect your Google Cloud BigQuery (REST) account to OpenPhone 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 OpenPhone accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze call data and trigger OpenPhone actions?
Yes, using Latenode you can trigger OpenPhone actions from BigQuery data analysis, enabling automated responses and proactive customer engagement based on data insights. Latenode's data manipulation helps to filter valuable info.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with OpenPhone?
Integrating Google Cloud BigQuery (REST) with OpenPhone allows you to perform various tasks, including:
- Log OpenPhone call details in Google Cloud BigQuery for analysis.
- Send personalized SMS via OpenPhone based on BigQuery data.
- Update BigQuery tables with OpenPhone contact activity.
- Automatically create OpenPhone contacts from BigQuery datasets.
- Trigger outbound OpenPhone calls based on BigQuery query results.
How secure is the Google Cloud BigQuery (REST) integration on Latenode?
Latenode employs robust security measures, including encryption and secure authentication, to protect your data during Google Cloud BigQuery (REST) integration and data transfer.
Are there any limitations to the Google Cloud BigQuery (REST) and OpenPhone integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex BigQuery queries might require optimization for real-time OpenPhone triggers.
- The number of API calls to Google Cloud BigQuery (REST) and OpenPhone is subject to rate limits.
- Initial data synchronization from Google Cloud BigQuery (REST) to OpenPhone can take time.