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

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Authenticate Thankster
Now, click the Thankster node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Thankster settings. Authentication allows you to use Thankster through Latenode.
Configure the Google Cloud BigQuery (REST) and Thankster 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 Thankster 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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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud BigQuery (REST), Thankster, 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 Thankster integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Thankster (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 Thankster
Google Cloud BigQuery (REST) + Thankster + Slack: Analyze customer data in BigQuery to identify top customers based on a specific criteria. Send personalized Thankster cards to these customers. Notify the sales team in a dedicated Slack channel about the cards sent, including customer details.
Thankster + Google Cloud BigQuery (REST) + Google Sheets: When a Thankster card is sent, record the card details (recipient, card type, date sent) in a Google Sheet. Simultaneously, update the corresponding customer's record in Google Cloud BigQuery with the card sending information.
Google Cloud BigQuery (REST) and Thankster 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 Thankster
Use Thankster in Latenode to automate personalized handwritten notes for customers. Trigger notes based on events like purchases or milestones. Enhance CRM workflows by adding a human touch. Latenode lets you manage Thankster requests at scale with no-code logic and custom integrations. Centralize and track all your personalized outreach.
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See how Latenode works
FAQ Google Cloud BigQuery (REST) and Thankster
How can I connect my Google Cloud BigQuery (REST) account to Thankster using Latenode?
To connect your Google Cloud BigQuery (REST) account to Thankster 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 Thankster accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I send personalized Thankster cards based on BigQuery data?
Yes, you can! Latenode automates sending customized cards using BigQuery data, enhancing customer relationships efficiently with personalized communication.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Thankster?
Integrating Google Cloud BigQuery (REST) with Thankster allows you to perform various tasks, including:
- Automating thank you notes based on data analysis in BigQuery.
- Sending personalized cards after a specific customer milestone.
- Creating targeted marketing campaigns based on BigQuery insights.
- Triggering Thankster cards based on updated customer segments.
- Sending automated birthday cards using data stored in BigQuery.
What Google Cloud BigQuery (REST) data can I access in Latenode?
Latenode allows you to access any data within your BigQuery datasets that your credentials permit, enabling comprehensive automation.
Are there any limitations to the Google Cloud BigQuery (REST) and Thankster integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits from Google Cloud BigQuery (REST) and Thankster may apply.
- Complex data transformations may require custom JavaScript code.
- Initial setup requires familiarity with Google Cloud BigQuery (REST) API.