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

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

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

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Authenticate Wachete
Now, click the Wachete node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Wachete settings. Authentication allows you to use Wachete through Latenode.
Configure the Google Cloud BigQuery and Wachete 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 and Wachete 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, Wachete, 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 and Wachete integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Wachete (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 and Wachete
Wachete + Slack: When Wachete detects a new notification for a particular wachet, send a public channel message to a Slack channel to alert the security team.
Wachete + Google Sheets: When Wachete detects a new notification for a particular wachet, add a row to a Google Sheet to log the event.
Google Cloud BigQuery and Wachete integration alternatives
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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About Wachete
Use Wachete in Latenode to monitor website changes and trigger automated actions. Get notified of price drops, content updates, or competitor activity, then use Latenode to update databases, send alerts, or adjust strategies – all visually. Automate critical responses faster than ever.
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See how Latenode works
FAQ Google Cloud BigQuery and Wachete
How can I connect my Google Cloud BigQuery account to Wachete using Latenode?
To connect your Google Cloud BigQuery account to Wachete on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery and click on "Connect".
- Authenticate your Google Cloud BigQuery and Wachete accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I monitor website data changes and save them to BigQuery?
Yes, you can! Latenode automates this, triggering data saves to Google Cloud BigQuery whenever Wachete detects website changes, enabling powerful data analysis workflows without manual effort.
What types of tasks can I perform by integrating Google Cloud BigQuery with Wachete?
Integrating Google Cloud BigQuery with Wachete allows you to perform various tasks, including:
- Track website content modifications and store them in a data warehouse.
- Analyze website changes over time using BigQuery's analytical capabilities.
- Receive alerts for specific website updates and log them in BigQuery.
- Automate data extraction from monitored websites and load it into BigQuery.
- Create dashboards to visualize website changes using BigQuery data.
What types of BigQuery data can Latenode access and manipulate?
Latenode can access, query, and insert data into your BigQuery datasets, enabling comprehensive automation of data workflows within your projects.
Are there any limitations to the Google Cloud BigQuery and Wachete integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex website structures may require custom JavaScript for optimal data extraction.
- BigQuery costs are separate from Latenode and depend on your data usage.
- Real-time data monitoring is subject to Wachete's monitoring frequency limits.