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Log weather data from Open Weather into Google Cloud BigQuery (REST) for analysis. Latenode's visual editor simplifies setup, while flexible JavaScript nodes enable advanced data transformation and custom logic at an affordable pay-by-execution price.
Connect Open Weather and Google Cloud BigQuery (REST) in minutes with Latenode.
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Create a New Scenario to Connect Open Weather and Google Cloud BigQuery (REST)
In the workspace, click the โCreate New Scenarioโ button.
Add the First Step
Add the first node โ 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 (REST) will be your first step. To do this, click "Choose an app," find Open Weather or Google Cloud BigQuery (REST), 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 (REST) Node
Next, click the plus (+) icon on the Open Weather node, select Google Cloud BigQuery (REST) from the list of available apps, and choose the action you need from the list of nodes within Google Cloud BigQuery (REST).
Open Weather
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Google Cloud BigQuery (REST)
Authenticate Google Cloud BigQuery (REST)
Now, click the Google Cloud BigQuery (REST) 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 (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.
Configure the Open Weather and Google Cloud BigQuery (REST) 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 (REST) 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 (REST)
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 (REST), and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the Open Weather and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Open Weather and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Open Weather + Google Cloud BigQuery (REST) + Google Sheets: Retrieves current weather data from Open Weather and inserts it into a BigQuery table. Then, it calculates monthly averages in BigQuery and updates a Google Sheet with the summarized data.
Google Cloud BigQuery (REST) + Open Weather + Slack: Monitors weather data in BigQuery for unusual patterns by querying the table and comparing it to current weather data from Open Weather. If unusual data is detected, it sends an alert to a Slack channel.
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 (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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How can I connect my Open Weather account to Google Cloud BigQuery (REST) using Latenode?
To connect your Open Weather account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
Can I archive historical weather data in a data warehouse?
Yes, easily. Latenode's visual interface simplifies data transfer, ensuring accuracy and enabling scalable historical weather analysis directly within Google Cloud BigQuery (REST).
What types of tasks can I perform by integrating Open Weather with Google Cloud BigQuery (REST)?
Integrating Open Weather with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
How does Latenode handle Open Weather API rate limits?
Latenode provides built-in throttling and queueing to manage API calls efficiently, preventing you from exceeding Open Weather's rate limits.
Are there any limitations to the Open Weather and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: