Research exports
YouTube Comment Research Tool
Collect structured YouTube comment data for market research, academic workflows, qualitative coding, and content strategy.
Collect comments in a repeatable format
Research is easier when every export has consistent fields like comment text, author display name, date, likes, replies, and source video.
Support qualitative and quantitative work
Use CSV or Excel for coding and filtering, JSON for pipelines, and AI analysis for directional summaries on supported plans.
Preserve source context
Source video metadata helps researchers compare comments across videos instead of losing context in one pasted document.
How it works
The workflow is designed for fast one-off exports and repeatable research.
- 1Define your video, playlist, or channel sample.
- 2Export comments in the format your workflow needs.
- 3Analyze the dataset in spreadsheets, coding tools, Python, R, or AI workflows.
Frequently asked questions
Can researchers use YouTube comments as a dataset?
Yes, subject to their own ethics, consent, and institutional requirements. The tool focuses on structured export, not research approval.
Which format is best for research?
CSV is usually best for spreadsheets and coding. JSON is better for programmatic workflows.
Does the export include replies?
Replies can be included when that option is enabled and available for the export.
Related workflows
Explore adjacent ways to export and analyze YouTube comments.
YouTube Comment Downloader for Researchers
Export YouTube comment datasets for audience research, competitor analysis, NLP workflows, qualitative coding, and social media studies.
Export YouTube Comments to CSV
Export YouTube comments to CSV for Google Sheets, Excel, reporting, research, sentiment analysis, and moderation review.
YouTube Comment Analysis Tool
Analyze YouTube comments for sentiment, topics, trends, audience segments, feedback, and content ideas after export.