Exporting YouTube comments to CSV is the fastest way to go from a comment section you can only browse to a dataset you can actually analyze. Once you have the data in a spreadsheet, you can search across thousands of comments in seconds, sort by likes, filter by date, or run any analysis you need — without touching the YouTube interface again.
This guide shows you how to export YouTube comments to CSV for free, what you get in the file, and what to do with it.
Why CSV Is the Right Format for YouTube Comment Data
CSV (comma-separated values) is the universal format for structured data. Every spreadsheet tool opens it — Excel, Google Sheets, LibreOffice Calc, Numbers on Mac. It also works directly with Python (pandas), R, SQL tools, and basically any data pipeline you might want to run.
The alternatives have tradeoffs:
- TXT — readable by humans, hard to filter or sort programmatically
- JSON — best for developers and machine learning, awkward to open in spreadsheets
- Excel (.xlsx) — pre-formatted spreadsheet, useful for sharing with clients, but not as portable as CSV
- HTML — good-looking shareable report, but not editable
For most use cases — content research, sentiment analysis, moderation review, client reporting — CSV is the right choice. It opens in one click and works everywhere.
How to Export YouTube Comments to CSV
Here's the process using this tool, which requires no coding and no API setup:
- Go to the tool page. You'll need a free account to export CSV (TXT works without one).
- Paste the YouTube URL. Video, playlist, or channel URL — all work. For playlists and channels, the tool fetches comments from every video in the source.
- Set your comment limit. Free accounts: up to 100 comments. Pro: up to 10,000. Business: up to 100,000.
- Choose sort order. “Top comments” gives you the most-liked comments first (usually most useful for research). “Newest” is better for real-time monitoring.
- Select CSV as the format. It's in the format picker. If you see a lock icon, sign in to unlock it.
- Click Export. Comments load in real time — you'll see the count increase as data streams in.
- Download. Once the export is complete, click the download button. Your browser saves the .csv file immediately.
Multiple videos at once
You can paste up to 5 URLs in the tool simultaneously. The CSV export combines all comments into one file, with a column identifying the source video. This is useful for pulling comments from several videos in a single download.What the CSV Columns Look Like
Each row in the exported CSV is one comment. Here are the columns:
| Column | What it contains |
|---|---|
| Author | The commenter's YouTube display name |
| Comment | Full text of the comment (not truncated) |
| Likes | Number of likes the comment received |
| Date | When the comment was posted (relative or absolute) |
| Replies | Number of replies to the top-level comment |
| Video Title | Title of the source video (useful for multi-video exports) |
| Video URL | Direct link to the source video |
| Channel | Channel name the video belongs to |
If you export with replies enabled, each reply gets its own row in the CSV, with a parent comment reference so you can reconstruct the thread structure if needed.
Opening Your CSV in Excel or Google Sheets
Google Sheets
Open Google Sheets and go to File → Import. Select the CSV file from your computer. Choose “Comma” as the separator (it should auto-detect). Click Import. Your comments appear as a formatted table.
From there, use Data → Create a filter to add filter dropdowns to each column. You can then filter to comments with more than 50 likes, or sort by date to find the most recent responses.
Excel
Open Excel and go to Data → From Text/CSV. Select your file. Excel's import wizard shows a preview — confirm the delimiter is set to comma and click Load. The data lands in a table with column headers.
Tip: use Table format
After importing in Excel, select your data and press Ctrl+T (or Cmd+T on Mac) to convert it to an Excel Table. This gives you built-in filter controls on each column header and makes sorting one click.What to Do With the Data
Once you have the CSV open in a spreadsheet, a few analyses are immediately useful:
Sort by likes to find the signal
Sort the Likes column descending. The top-liked comments are the ones the community collectively endorsed — these are often questions, opinions, or observations that resonated with many viewers. They're your highest-signal data points.
Search for keywords
Use Ctrl+F (or Sheets' built-in search) to find all mentions of a competitor name, a product feature, or a specific question. Even a quick keyword scan across 5,000 comments takes 30 seconds in a spreadsheet.
Count questions
Filter the Comment column for rows containing “?” to pull out every question in the dataset. These are the gaps in the video's content — and potential topics for follow-up videos or FAQ additions.
Track sentiment themes
Add a column for manual or automated sentiment labels. Even a simple positive/negative/neutral tag on the top 100 comments gives you a useful read on audience mood that you can track over time.
Alternatives Comparison
There are a few other ways to export YouTube comments to CSV. Here's the honest comparison:
| Method | Pros | Cons |
|---|---|---|
| This tool | No code, instant, bulk support | Free tier capped at 100 comments |
| YouTube Data API (DIY) | Full control, no limits beyond quota | Requires coding + API key setup |
| YouTube Studio export | Official, easy | Only your own videos, no CSV |
| Browser extensions | Convenient for small jobs | Often break with YouTube updates, few active |
| Python scripts (yt-dlp) | Flexible, open source | Requires Python setup, technical |
Key Takeaway