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Log weather data from Open Weather directly into Google Cloud BigQuery for historical analysis and forecasting. Latenode’s visual editor simplifies setup, while affordable execution-based pricing makes large-scale weather data collection cost-effective.
Connect Open Weather and Google Cloud BigQuery in minutes with Latenode.
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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.
Open Weather
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Google Cloud BigQuery
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:
JavaScript
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AI Anthropic Claude 3
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Google Cloud BigQuery
Trigger on Webhook
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Open Weather
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Iterator
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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.
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.
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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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:
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:
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: