SubExtract for Researchers

Extract YouTube transcripts, comments, and channel catalogs as structured data for academic research, qualitative analysis, and citation work.

Workflows

Citing YouTube content in a paper

  1. Extract the video's transcript with timestamps
  2. Quote the exact text from the transcript with the timestamp as your citation locator
  3. Save the transcript as a permanent record in case the video is later deleted or edited
  4. Reference the YouTube URL plus the timestamped quote in your paper
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Qualitative analysis of audience comments

  1. Identify a corpus of relevant videos in your research area
  2. Extract comments to CSV for each video using the Comments tool
  3. Combine the CSVs into a single dataset
  4. Run sentiment analysis, topic modeling, or thematic coding on the text
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Mapping a creator's body of work

  1. Use Channel Videos to pull the full upload history
  2. Sort by date to track topic evolution over time
  3. Identify thematic clusters by manually tagging or running NLP on the title list
  4. Use the structured catalog as a foundation for content analysis or media studies research
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Recommended tool combinations

Real-world examples

Studying online discourse

For research on health misinformation: extract comments from 50 high-view videos on a controversial health topic, code the comments into themes (skepticism, anecdote, citation, support), and quantify the prevalence of each across the corpus. Replicable methodology, structured data.

Citation with reproducibility

When citing a YouTube video, paste the full transcript into your supplementary materials. If the video is later edited or deleted, your citation remains verifiable — exactly what peer review requires.

Frequently asked questions

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