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

Google Cloud BigQuery (REST)
⚙

ClickSend

Authenticate ClickSend
Now, click the ClickSend node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your ClickSend settings. Authentication allows you to use ClickSend through Latenode.
Configure the Google Cloud BigQuery (REST) and ClickSend 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 ClickSend 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.

JavaScript
⚙
AI Anthropic Claude 3
⚙

ClickSend
Trigger on Webhook
⚙
Google Cloud BigQuery (REST)
⚙
⚙
Iterator
⚙
Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery (REST), ClickSend, 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 ClickSend integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and ClickSend (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 ClickSend
Google Cloud BigQuery (REST) + ClickSend + Slack: When new rows are added to a BigQuery table (indicating potential marketing campaign anomalies), send an SMS message via ClickSend to relevant personnel, and also post a message to a designated Slack channel for broader awareness.
ClickSend + Google Cloud BigQuery (REST) + Google Sheets: When an SMS is sent via ClickSend, log the details (status, cost) to a BigQuery table, then use Google Sheets to summarize the SMS data from BigQuery for reporting and analysis.
Google Cloud BigQuery (REST) and ClickSend 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.
Similar apps
Related categories

About ClickSend
Use ClickSend in Latenode to automate SMS, email, or voice messaging. Build workflows that trigger messages based on events in your other apps. Improve customer engagement by automating personalized notifications. Latenode’s visual editor simplifies integration and scales your outreach without extra code or per-step costs.
Related categories
See how Latenode works
FAQ Google Cloud BigQuery (REST) and ClickSend
How can I connect my Google Cloud BigQuery (REST) account to ClickSend using Latenode?
To connect your Google Cloud BigQuery (REST) account to ClickSend 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 ClickSend accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I send personalized SMS based on BigQuery data?
Yes, you can! Latenode enables sending targeted ClickSend SMS campaigns using BigQuery data, enhancing customer engagement and automating personalized outreach based on advanced queries.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with ClickSend?
Integrating Google Cloud BigQuery (REST) with ClickSend allows you to perform various tasks, including:
- Send SMS alerts for critical database events.
- Create custom reports using BigQuery data sent via SMS.
- Trigger ClickSend campaigns based on BigQuery data analysis.
- Automate data-driven SMS marketing campaigns.
- Send notifications for exceeding query cost thresholds.
How does Latenode handle BigQuery's large datasets efficiently?
Latenode's architecture supports efficient data processing, leveraging streaming and optimized queries to handle large BigQuery datasets without performance bottlenecks.
Are there any limitations to the Google Cloud BigQuery (REST) and ClickSend integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Google Cloud BigQuery (REST) and ClickSend still apply.
- Complex data transformations may require JavaScript steps.
- Initial setup requires familiarity with both platforms.