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Analyze weather-related call center conversations using Deepgram to identify trending issues, then use Open Weather to confirm weather conditions, all in one visual workflow. Latenode's low-code nodes and affordable execution costs make environmental data analysis simple and scalable.
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In the workspace, click the βCreate New Scenarioβ button.

Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Deepgram, triggered by another scenario, or executed manually (for testing purposes). In most cases, Deepgram or Open Weather will be your first step. To do this, click "Choose an app," find Deepgram or Open Weather, and select the appropriate trigger to start the scenario.

Select the Deepgram node from the app selection panel on the right.

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

Deepgram
β
Open Weather
Now, click the Open Weather node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Open Weather settings. Authentication allows you to use Open Weather through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
β
AI Anthropic Claude 3
β
Open Weather
Trigger on Webhook
β
Deepgram
β
β
Iterator
β
Webhook response
After configuring Deepgram, Open Weather, and any additional nodes, donβt 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.
Run the scenario by clicking βRun onceβ and triggering an event to check if the Deepgram and Open Weather integration works as expected. Depending on your setup, data should flow between Deepgram and Open Weather (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Open Weather + Deepgram + Twilio: This automation checks the weather forecast. If storm conditions are predicted, it transcribes a weather broadcast and sends an SMS with a summary of the storm conditions.
Open Weather + Deepgram + Google Calendar: This flow retrieves weather forecast, transcribes it using Deepgram, and then logs the transcription event into Google Calendar for later review.
About Deepgram
Need to transcribe audio/video inside your Latenode automations? Deepgram offers fast, accurate speech-to-text. Connect it to your workflows for automated meeting summaries, content analysis, or customer support monitoring. Fine-tune results with custom vocabularies, all within Latenode's visual interface and code blocks.
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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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How can I connect my Deepgram account to Open Weather using Latenode?
To connect your Deepgram account to Open Weather on Latenode, follow these steps:
Can I transcribe weather reports using Deepgram and Open Weather?
Yes, you can! Latenode's visual editor makes it easy to automate transcription of weather data from Open Weather using Deepgram. This unlocks voice-based weather insights and alerts.
What types of tasks can I perform by integrating Deepgram with Open Weather?
Integrating Deepgram with Open Weather allows you to perform various tasks, including:
How does Latenode handle Deepgram's audio processing requirements?
Latenode manages audio file transfers and processing for Deepgram efficiently, leveraging scalable infrastructure for reliable performance.
Are there any limitations to the Deepgram and Open Weather integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: