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Automate content analysis: connect Feedly to Deepgram to transcribe audio/video from RSS feeds. Latenode’s visual editor and affordable pricing make it easier to monitor and analyze media mentions, plus add custom logic via JavaScript.
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In the workspace, click the “Create New Scenario” button.

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

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

Feedly
Next, click the plus (+) icon on the Feedly node, select Deepgram from the list of available apps, and choose the action you need from the list of nodes within Deepgram.

Feedly
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Deepgram
Now, click the Deepgram node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Deepgram settings. Authentication allows you to use Deepgram 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
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AI Anthropic Claude 3
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Deepgram
Trigger on Webhook
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Feedly
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Iterator
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Webhook response
After configuring Feedly, Deepgram, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the Feedly and Deepgram integration works as expected. Depending on your setup, data should flow between Feedly and Deepgram (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Feedly + Deepgram + Slack: When a new article appears in a Feedly feed matching specified keywords, the article's content is transcribed using Deepgram. The resulting transcript is then sent as a message to a designated Slack channel.
Feedly + Deepgram + Google docs: This automation watches a specified Feedly feed for new articles. When a new article is found, Deepgram transcribes the audio content of the article (if available). The transcribed text is then appended to a specified Google Docs document.
About Feedly
Aggregate and filter Feedly articles within Latenode to automate content-driven workflows. Track brand mentions, industry trends, or competitor activity, then instantly trigger actions like posting to social media, updating databases, or notifying teams—all based on custom rules and logic.
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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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How can I connect my Feedly account to Deepgram using Latenode?
To connect your Feedly account to Deepgram on Latenode, follow these steps:
Can I transcribe Feedly audio content using Deepgram?
Yes, you can! Latenode lets you automate the transcription process easily. Automatically transcribe audio from Feedly articles using Deepgram's AI, streamlining your content analysis workflow.
What types of tasks can I perform by integrating Feedly with Deepgram?
Integrating Feedly with Deepgram allows you to perform various tasks, including:
Can I filter Feedly articles based on keywords extracted by Deepgram?
Yes! Use Latenode's visual editor to create a flow: Feedly -> Deepgram (transcription) -> Keyword Filter -> Action (e.g., save to database).
Are there any limitations to the Feedly and Deepgram integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: