Overview

Manually transcribing and summarizing podcast episodes is tedious and error-prone. This workflow automates fetching YouTube playlist videos, extracts and cleans transcripts via Supadata.ai, generates clear summaries with an LLM, and archives everything into Google Sheets for fast access and reuse.

The Impact

  • Eliminate manual transcript extraction. Fetch and clean podcast transcripts automatically from YouTube videos.
  • Accelerate content summarization. Use an LLM to generate concise episode summaries instantly.
  • Simplify archiving. Append full data rows directly into Google Sheets for easy retrieval.
  • Save hours of tedious work. Automate the entire pipeline from video list to structured spreadsheet.

Who This Is For

  • Podcast producers who need efficient episode transcript archiving and editing.
  • Marketing teams generating episode summaries for social media and promotions.
  • Researchers compiling transcripts and summaries for content analysis.
  • Content curators organizing podcast knowledge bases systematically.

How It Works

1
  1. Crawl Playlist Videos
  2. Use YouTube API to fetch playlist items and extract video IDs, titles, and URLs.
2
  1. Fetch and Clean Transcripts
  2. Call Supadata.ai to obtain segmented transcripts, then merge and clean into full scripts and preview snippets.
3
  1. Generate Summaries
  2. Send preview snippets to the LLM to produce clear, structured English summaries.
4
  1. Prepare Data Rows
  2. Combine episode title, full transcript, and summary into a formatted row.
5
  1. Write to Google Sheets
  2. Append or update rows in the specified worksheet, enabling rapid archiving and retrieval.

What You'll Need

Before using this template, make sure you have:

  • YouTube OAuth credentials for accessing playlist data.
    Google Sheets OAuth credentials for reading/writing spreadsheet data.
    Supadata.ai API key to call the transcription service.
    A Google Sheets document with a worksheet prepared with headers: Title, Full Transcript, Summary.
    The PlaylistId of the target YouTube playlist.
    The SpreadsheetId and SpreadsheetName for your Google Sheets.

How to Use

  1. Step 1. Prepare Spreadsheet
  2. Create a Google Sheets file with a worksheet having columns titled: Title, Full Transcript, Summary.

  3. Step 2. Configure Credentials
  4. Set up YouTube and Google Sheets OAuth credentials for authorized API access.

  5. Step 3. Input Parameters
  6. Enter PlaylistId, SupadataApiKey, SpreadsheetId, and SpreadsheetName into the workflow.

  7. Step 4. Run Automation
  8. Trigger the workflow to fetch videos, transcribe, summarize, and write data row-by-row.

  9. Step 5. Verify Results
  10. Check your Google Sheets to confirm episode titles, full transcripts, and summaries are correctly archived.

FAQs

How does the workflow fetch podcast episodes from YouTube?
It uses YouTube API via "Fetch Playlist Items" to retrieve video metadata from the specified playlist ID.
What is the role of Supadata.ai in this workflow?
Supadata.ai provides segmented transcripts of each video, which the workflow cleans and merges for summarization.
How are summaries generated from transcripts?
A language model (LLM) receives a preview snippet of the transcript and produces a clear, structured English summary.
How is data saved into Google Sheets?
The workflow combines title, full transcript, and summary into rows and appends or updates them in the specified Google Sheets worksheet.
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