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

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

Open Weather
Configure the Open Weather
Click on the Open Weather node to configure it. You can modify the Open Weather URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Cloud BigQuery Node
Next, click the plus (+) icon on the Open Weather 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 Open Weather 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 Open Weather 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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AI Anthropic Claude 3
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Google Cloud BigQuery
Trigger on Webhook
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Webhook response
Save and Activate the Scenario
After configuring Open Weather, 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 Open Weather and Google Cloud BigQuery integration works as expected. Depending on your setup, data should flow between Open Weather 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 Open Weather and Google Cloud BigQuery
Open Weather + Google Sheets: Get current weather data from Open Weather and store it in a Google Sheet. This allows for historical tracking and analysis of weather patterns.
Open Weather + Google Sheets + Slack: When a new row is added to a Google Sheet containing weather forecast data, check for extreme temperature conditions (e.g., above a threshold). If the threshold is met, send a Slack message to a designated channel alerting the team of the extreme weather event.
Open Weather and Google Cloud BigQuery integration alternatives
About Open Weather
Use Open Weather in Latenode to automate weather-based triggers for business logic. Get current conditions or forecasts to adjust marketing campaigns, logistics, or facility management. Unlike standalone apps, Latenode lets you blend weather data with other services, apply custom logic, and scale your automation affordably based on execution time.
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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 Open Weather and Google Cloud BigQuery
How can I connect my Open Weather account to Google Cloud BigQuery using Latenode?
To connect your Open Weather account to Google Cloud BigQuery on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Open Weather and click on "Connect".
- Authenticate your Open Weather and Google Cloud BigQuery accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I archive historical weather data to BigQuery?
Yes, you can! Latenode's visual interface makes it simple to schedule weather data backups to BigQuery, ensuring you never lose crucial historical information.
What types of tasks can I perform by integrating Open Weather with Google Cloud BigQuery?
Integrating Open Weather with Google Cloud BigQuery allows you to perform various tasks, including:
- Analyzing weather patterns to predict future energy consumption.
- Storing weather data for long-term climate change research.
- Creating dashboards to visualize real-time weather conditions.
- Triggering alerts based on specific weather events using AI.
- Combining weather data with sales data for business analytics.
Can Latenode process Open Weather data before sending to BigQuery?
Yes, Latenode can transform and filter data using no-code tools or custom JavaScript functions before it reaches BigQuery.
Are there any limitations to the Open Weather and Google Cloud BigQuery integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of the Open Weather API apply.
- BigQuery storage costs are separate from Latenode subscription fees.
- Complex data transformations may require JavaScript knowledge.