---
title: "How to Export & Download YouTube Comments to CSV & Excel (3 Easy Methods)"
description: "Learn how to export and download YouTube comments to CSV or Excel with a Chrome extension, the YouTube API, or a manual method."
canonical: https://tryadlicio.com/blog/how-to-export-youtube-comments
---

# How to Export & Download YouTube Comments to CSV & Excel (3 Easy Methods)

Published 2026-02-20. https://tryadlicio.com/blog/how-to-export-youtube-comments

**Quick Answer:** The fastest way to download YouTube comments to CSV or Excel is with the Comment Exporter Chrome extension — install it, navigate to any YouTube video, click "Scrape Comments," and download your file. No coding required. The extension works as both a YouTube comment scraper and downloader. For developers, the YouTube Data API v3 offers a programmable alternative. We cover all three methods below.

## Why Export YouTube Comments?

YouTube comments are one of the richest sources of unfiltered audience feedback on the internet. Millions of viewers leave opinions, questions, and suggestions beneath videos every day, and that data is valuable far beyond the comment section itself.

Here are some of the most common reasons people want to download YouTube comments to a spreadsheet:

-   **Content research:** Understand what topics, questions, and pain points your audience cares about so you can plan better videos or blog posts.
-   **Sentiment analysis:** Measure whether the reaction to a product launch, announcement, or campaign is positive, negative, or mixed.
-   **Competitor analysis:** Read what viewers say about competing products or channels to find gaps and opportunities.
-   **Academic research:** Collect datasets for NLP, linguistics, or social science studies without manually copying thousands of comments.
-   **Brand monitoring:** Track mentions of your brand, product name, or key terms across multiple videos at scale.

Below, we walk through three methods for downloading YouTube comments into a CSV or Excel file — ranked from easiest to most technical.

## Method 1: Chrome Extension (Easiest)

A browser extension is the fastest path from a YouTube video to a spreadsheet file. The [Comment Exporter](https://chromewebstore.google.com/detail/reddit-comment-scraper/ahjjidbbielmekkaklabocljkljbmnlm) extension works directly inside Chrome, so there is nothing to install on your computer and no API keys to configure.

### Step-by-Step Walkthrough

1.  **Install the extension:** Visit the [Comment Exporter page on the Chrome Web Store](https://chromewebstore.google.com/detail/reddit-comment-scraper/ahjjidbbielmekkaklabocljkljbmnlm) and click "Add to Chrome." The installation takes about 10 seconds.
2.  **Navigate to any YouTube video:** Open the video whose comments you want to export. Make sure comments are visible on the page (some videos have comments disabled).
3.  **Click the extension icon, then "Scrape Comments":** The extension will automatically scroll through the comment section, loading and capturing every comment — including nested replies.
4.  **Choose CSV or JSON and download:** Once scraping is complete, pick your preferred format and save the file. Open the CSV directly in Excel or Google Sheets.

### Pros

-   No coding or technical setup required
-   No API key needed
-   Works in seconds to minutes depending on the number of comments
-   Captures replies, like counts, author names, timestamps, and other metadata automatically
-   One-click export to CSV or JSON

### Cons

-   Requires the Chrome browser (not available on Firefox or Safari)
-   YouTube scraping requires the All Access plan ($49.99/mo)

**Best for:** Non-technical users, marketers, content creators, and researchers who want results fast without writing a single line of code.

## Method 2: YouTube Data API v3

Google provides the **YouTube Data API v3**, which includes a `commentThreads` endpoint for retrieving comments programmatically. This is the official, developer-oriented approach.

### Step-by-Step Walkthrough

1.  **Create a Google Cloud project:** Go to the [Google Cloud Console](https://console.cloud.google.com/), create a new project, and enable the "YouTube Data API v3" from the API Library.
2.  **Generate an API key:** Under "Credentials," create an API key. Copy it somewhere safe — you will need it for every request.
3.  **Call the commentThreads endpoint:** Use the following URL structure to fetch comments for a given video:

    ```
    GET https://www.googleapis.com/youtube/v3/commentThreads?part=snippet&videoId=VIDEO_ID&key=API_KEY&maxResults=100
    ```

    Replace `VIDEO_ID` with the 11-character video ID (the part after `v=` in a YouTube URL) and `API_KEY` with your key. The `maxResults` parameter caps at 100 per request, so you will need to paginate using the `nextPageToken` field in the response.
4.  **Parse the JSON response and convert to CSV:** The API returns a JSON object. You will need to extract the fields you care about — comment text, author, like count, published date — and write them into a CSV file. In Python, the `csv` and `requests` libraries handle this in about 30 lines of code.

### Pros

-   Free within quota limits (10,000 units per day, and each commentThreads request costs about 1 unit)
-   Fully programmable — automate with cron jobs, integrate into data pipelines
-   Good for building scheduled or recurring workflows

### Cons

-   Requires coding knowledge (Python, JavaScript, or another language)
-   API quota limits can be restrictive for large-scale scraping (10,000 units per day)
-   Initial setup takes 30+ minutes (Google Cloud project, API enablement, key generation)
-   Retrieving all nested replies requires additional API calls to the `comments.list` endpoint, which complicates the code and burns more quota

**Best for:** Developers and data engineers building automated pipelines or integrating YouTube comment data into larger systems.

## Method 3: Copy-Paste (Manual)

If you only need a handful of comments and do not want to install anything, you can always do it the old-fashioned way: scroll through the comment section, highlight the comments you want, copy them, and paste into a spreadsheet.

### How It Works

1.  Open the YouTube video and scroll down to load comments.
2.  Select the comments you want with your mouse.
3.  Copy (Ctrl+C / Cmd+C) and paste into Excel, Google Sheets, or a text file.

### Pros

-   Completely free
-   No tools, extensions, or accounts required

### Cons

-   Extremely tedious — YouTube lazy-loads comments, so you must keep scrolling to reveal them
-   No metadata is captured (you lose timestamps, like counts, reply structure, and author channel URLs)
-   Does not scale at all — practical only for very small numbers of comments
-   Formatting breaks when pasting into a spreadsheet, requiring manual cleanup

**Best for:** One-off situations where you need fewer than 20 comments and do not want to install or configure anything.

## Comparison Table

| Feature | Chrome Extension | YouTube API | Manual |
| --- | --- | --- | --- |
| **Setup time** | 1 minute | 30+ minutes | None |
| **Coding required** | No | Yes | No |
| **Comments captured** | All + replies | Limited by quota | Limited by patience |
| **Metadata included** | Yes (likes, dates, author) | Yes | No |
| **Export format** | CSV, JSON | JSON (needs conversion) | Plain text |
| **Cost** | $49.99/mo | Free (quota limits) | Free |
| **Best for** | Most users | Developers | Quick one-offs |

## What Data Can You Export from YouTube Comments?

Regardless of which method you choose, here are the data fields that are available for each YouTube comment:

-   **Comment text:** The full body of the comment.
-   **Author name:** The display name of the person who wrote the comment.
-   **Author channel URL:** A link back to the commenter's YouTube channel.
-   **Like count:** The number of likes the comment received.
-   **Reply count:** How many replies a top-level comment has.
-   **Published date:** When the comment was originally posted.
-   **Updated date:** When the comment was last edited (if it was edited).
-   **Top-level vs. reply:** Whether the comment is a direct response to the video or a reply to another comment.

The Chrome extension captures all of these fields automatically and includes them as columns in the exported CSV. With the API method, you have access to the same data but must write code to extract and format each field. The manual copy-paste approach captures only the visible comment text and author name — everything else is lost.

## Common Use Cases

Exporting YouTube comments is not just a technical exercise. Here are some of the most practical ways people put this data to work:

-   **Content creators analyzing audience feedback:** Export comments from your own videos to identify recurring questions, feature requests, or content ideas. Sorting by like count surfaces the feedback your audience agrees with most.
-   **Brands monitoring mentions:** If your product is reviewed or mentioned in YouTube videos, exporting the comments lets you gauge public sentiment at scale instead of reading through hundreds of comments manually.
-   **Researchers collecting NLP datasets:** YouTube comments provide a large, diverse corpus for training sentiment classifiers, language models, or topic-modeling algorithms. Exporting to CSV makes the data immediately usable in Python, R, or any data analysis tool.
-   **Marketers mining customer language:** The exact words people use in YouTube comments about a product — complaints, praise, comparisons — are goldmines for writing ad copy, landing pages, and email subject lines that resonate.
-   **Competitor analysis:** Export comments from videos reviewing competing products. Look for patterns: what do viewers like about the competitor? What do they wish were different? Use these insights to position your own product.

## Conclusion

For most people, the Chrome extension method is the clear winner. It takes about a minute to set up, requires no coding, and gives you a clean CSV file with all the metadata you need. If you are a developer building an automated pipeline, the YouTube Data API is worth the setup effort. And if you only need a small handful of comments once, manual copy-paste works in a pinch.

If you want to get started right now, install the [Comment Exporter extension](https://chromewebstore.google.com/detail/reddit-comment-scraper/ahjjidbbielmekkaklabocljkljbmnlm) and try exporting comments from any YouTube video. You will have your CSV in under two minutes.