

Extract public YouTube video comments in bulk via video IDs, including content, commenter details, likes, replies, and author interactions. Export structured data to CSV or JSON with one click for sentiment analysis and user insights.
YouTube Comments & Replies 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 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 |
CoreClaw YouTube Comments & Replies 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:
Enter YouTube video ID.
Example: 8RePenzQH80
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:
If you need to scrape other types of data, CoreClaw offers the following professional toolsets optimized for different scraping scenarios.
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.
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.
Filter high-value comments through the following data dimensions:
Comment data is very suitable for sentiment analysis applications:
Yes. Use YouTube Channel Scraper, enter video ID, you can batch scrape comments from multiple or all videos under the channel.
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