What is YouTube Comment Scraper?
YouTube Comment Scraper is a data extraction tool designed to batch collect comment content, commenter information, likes, replies, author interaction, and other data from public YouTube videos via video ID. Using CoreClaw, you can obtain structured data with zero coding, helping with content analysis and user research.
- ✅ Comment Content Extraction - Automatically scrape comment text, comment time, likes, and other basic information
- ✅ Commenter Information Collection - Extract commenter username, channel link, user ID, and other user data
- ✅ Reply Level Scraping - Obtain comment replies, nested replies, and complete conversation chains
- ✅ Author Interaction Data - Track whether video author liked or replied to the comment
What data can you extract from YouTube comments?
| 💬 Comment Content and Text | 👤 Commenter Name and ID |
| 🔗 Commenter Channel Link | ❤️ Comment Likes |
| 💬 Reply Count | ⏰ Post Time |
| 🆔 Comment ID | 🎬 Video ID and Link |
| ❤️ Author Liked | 💬 Author Replied |
How to scrape YouTube comments via video ID?
CoreClaw YouTube Comment Scraper handles proxy rotation, task scheduling, data standardization, and final delivery for you in the background. In just a few minutes, you can obtain data through the following steps:
- Create a free CoreClaw account using your email
- Open the YouTube Comment Scraper control panel
- Enter YouTube video ID
- Click "Start" and let our cloud servers handle the scraping work
- Download the dataset in JSON or CSV format
➡️ Input
Enter YouTube video ID.
Example: 8RePenzQH80

⬅️ Output
For your convenience, output results are displayed in tables and tabs. You can choose to download results in CSV/JSON format. Here is an example of comment data scraped using video ID:
Table Example

JSON Example
1[
2 {
3 "title": "Presidential Historian: Trump Has Tried to Introduce Fear in First 100 Days | Amanpour and Company",
4 "id": "8RePenzQH80",
5 "url": "https://www.youtube.com/watch?v=8RePenzQH80",
6 "thumbnailUrl": "https://i.ytimg.com/vi/8RePenzQH80/maxresdefault.jpg",
7 "viewCount": "434,955 views",
8 "date": "Apr 30, 2025",
9 "likes": "Apr 30",
10 "location": "en_US",
11 "channelName": "Amanpour and Company",
12 "channelUrl": "http://www.youtube.com/@AmanpourandCompany",
13 "numberOfSubscribers": "561K subscribers",
14 "duration": "0:18:26",
15 "commentsCount": "1.1K",
16 "text": "President Trump, taking a victory lap to mark the first 100 days of his second term, said his success surpasses any in U.S. history, \"according to many, many people.” Presidential historian Timothy Naftali places the Trump presidency in context for Walter Isaacson.\n\nOriginally aired on April 30, 2025\n\n----------------------------------------------------------------------------------------------------------------------------------------\n\nMajor support for Amanpour and Company is provided by Jim Attwood and Leslie Williams, Candace King Weir, the Sylvia A. and Simon B. Poyta Programming Endowment to Fight Antisemitism, the Leila and Mickey Straus Family Charitable Trust, Mark J. Blechner, the Filomen M. D’Agostino Foundation, Seton J. Melvin, the Peter G. Peterson and Joan Ganz Cooney Fund, Charles Rosenblum, Koo and Patricia Yuen, Barbara Hope Zuckerberg, and Jeffrey Katz and Beth Rogers.\n\nSubscribe to the Amanpour and Company channel here: https://bit.ly/2EMIkTJ\n\nSubscribe to our daily newsletter to find out who's on each night: http://www.pbs.org/wnet/amanpour-and-...\n\nFor more from Amanpour and Company, including full episodes, click here: https://to.pbs.org/2NBFpjf\n\nThis program is made possible by viewers like you. Please support your local PBS station: http://www.pbs.org/donate\n\nLike Amanpour and Company on Facebook: https://bit.ly/2HNx3EF\n\nFollow Amanpour and Company on Twitter: https://bit.ly/2HLpjTI\n\nFollow Amanpour and Company on Instagram: https://bit.ly/3SaTUhk\n\nWatch Amanpour and Company weekdays on PBS (check local listings).\n\nAmanpour and Company features wide-ranging, in-depth conversations with global thought leaders and cultural influencers on the issues and trends impacting the world each day, from politics, business and technology to arts, science and sports. Christiane Amanpour leads the conversation on global and domestic news from London with contributions by prominent journalists Walter Isaacson, Michel Martin, Alicia Menendez and Hari Sreenivasan from the Tisch WNET Studios at Lincoln Center in New York City.\n\n#amanpourpbs",
17 "descriptionLinks": [
18 "https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbnZDZWtMYzV2ZUUyQnlEQ1ZwcVhMZmU0MVR1QXxBQ3Jtc0tuc0dTbWNmY1hSaHZ5QlFNWG9kUVpiYTVZZElIN3ZzZWp4ZDVaV2w0Nk0tNzRIZXJyTGYwQUZjcWd6dTFwczB3WFIxV1N6Q3dVZlFGdDA5a2V5RjZOalFvR0k5OVRDMnp3cHVVcnlxcVNnek1lSndTQQ&q=https%3A%2F%2Fbit.ly%2F2EMIkTJ&v=8RePenzQH80",
19 "https://www.youtube.com/hashtag/amanpourpbs"
20 ],
21 "subtitles": [],
22 "isMonetized": null,
23 "commentsTurnedOff": null,
24 "input": {
25 "spider_errors": true,
26 "user_id": 3096,
27 "pay_num": 1,
28 "proxy_region": "us",
29 "url": "https://www.youtube.com/watch?v=8RePenzQH80",
30 "user_input_id": "youtube_product_by-id",
31 "video_id": "8RePenzQH80",
32 "spider_item": {
33 "v": "8RePenzQH80"
34 },
35 "spider_url": "https://www.youtube.com/watch?v=8RePenzQH80"
36 },
37 "error": null,
38 "error_code": null
39 }
40]
Explore Other YouTube Data Scrapers
If you need to scrape other types of data, CoreClaw offers the following professional toolsets optimized for different scraping scenarios.
FAQ
How many comments can be scraped from one video?
The tool will automatically paginate and scrape all public comments under the video. YouTube comments are dynamically loaded, so it's recommended to scrape in batches to obtain complete data.
How to handle errors during scraping?
The tool supports detailed error feedback and intelligent retry mechanisms. When scraping anomalies occur, the service will return a response containing error codes and detailed prompt information. For temporary errors, the service defaults to automatic retry.
How to identify high-value comments and potential users?
Filter high-value comments through the following data dimensions:
- Comment Length: Long comments usually mean higher engagement and authentic feedback
- Like Count: Highly liked comments reflect user resonance and content quality
- Reply Activity: Comments that spark discussion have more传播 value
- Commenter Follower Count: Judge influence by combining commenter channel data
- Comment Time: Early comments are more likely to be interacted with by creators
Can comment data be used for sentiment analysis?
Comment data is very suitable for sentiment analysis applications:
- Text Mining: Extract text features such as keywords, topic tags, emojis
- Sentiment Judgment: Identify positive, negative, neutral comments, evaluate content reputation
- User Emotion Tracking: Monitor comment sentiment changes, detect public opinion risks in time
- Competitor Comparison: Compare comment sentiment distribution of similar videos
Can scrape all comments under one channel?
Yes. Use YouTube Channel Scraper, enter video ID, you can batch scrape comments from multiple or all videos under the channel.