🎬 Podcast to X (Twitter) pipeline with OpenAI Whisper, GPT-4o & Slack approval

292 views · 🎬 Content Creation & Video

💡 Pro Tip — Twitter’s API is paid now, which makes simple data pulls expensive. ScraperNode is a community node that scrapes Twitter profiles and posts without needing API access.

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Description

Turn your favorite podcast episodes into engaging social media content automatically. This workflow fetches new episodes from an RSS feed, transcribes the audio using OpenAI Whisper, generates a concise summary using GPT-4o, and drafts a tweet. It then sends the draft to Slack for your review before posting it to X (Twitter).

Who is this for

Content creators, social media managers, and podcast enthusiasts who want to share insights without manually listening to and typing out every episode.

Key Features

How it works

  1. Monitor: Checks the Podcast RSS feed daily for new episodes.
  2. Process: Downloads the audio (handling large files via chunking) and transcribes it.
  3. Draft: AI summarizes the transcript into bullet points and formats it for X (Twitter).
  4. Approve: Sends the draft to a Slack channel.
  5. Publish: Once approved by you, it posts the tweet to your X account.

Requirements

Setup instructions

  1. RSS Feed: The template defaults to “TED Talks Daily” for demonstration. Open the [Step 1] RSS node and replace the URL with your target podcast.
  2. Connect Credentials: Set up your credentials for OpenAI, Slack, and X (Twitter) in the respective nodes.
  3. Slack Channel: In the [Step 12] Slack node, select the Channel ID where you want to receive the approval request.

🔗 Nodes Used

HTTP Request, RSS Read, Slack, X (Formerly Twitter), Schedule Trigger, OpenAI

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup