Youtube Comments Ultra
Pricing
$0.40 / 1,000 per comment extracteds
Youtube Comments Ultra
Professional YouTube comment scraper for sentiment analysis, brand monitoring, competitive intelligence and audience research. Extract complete comment threads with exact precision or blazing-fast estimates. Detect creator hearts. No authentication needed. Pay only for comments extracted.
Pricing
$0.40 / 1,000 per comment extracteds
Rating
5.0
(7)
Developer
Knowten
Maintained by CommunityActor stats
11
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23
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1
Monthly active users
5 months ago
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🚀 YouTube Comment Ultra
The Ultra-Fast YouTube Comments Scraper for Professional Data Analysis
Extract YouTube comments at lightning speed with exact precision or blazing-fast estimates. YouTube Comment Ultra is engineered for researchers, marketers, and analysts who need comprehensive comment data without the complexity.
Get comment data in minutes. Not hours.
🎯 What is YouTube Comment Ultra?
YouTube Comment Ultra is a professional-grade HTTP-based comment scraper that extracts:
✅ All comments and replies from YouTube videos
✅ Comment text, author names, timestamps, and engagement metrics
✅ Creator heart indicators and engagement data
✅ Complete thread structures (top-level + nested replies)
✅ Total accurate comment counts
✅ Zero authentication required — no proxies, no API keys
Built for sentiment analysis, brand monitoring, competitive intelligence, and large-scale audience research.
💰 Pricing: Simple & Transparent
$0.40 per 1,000 comments ($0.0004 per comment extracted)
- Per Comment Pricing: $0.0004 per comment you extract
- No Hidden Costs: Pay only for comments you actually scrape
- Batch Friendly: Extract 10,000 comments for just $4.00
- Fair Pricing: The more you analyze, the more value you get
Pricing Examples
| Comments Extracted | Cost |
|---|---|
| 100 comments | $0.04 |
| 1,000 comments | $0.40 |
| 10,000 comments | $4.00 |
| 100,000 comments | $40.00 |
📊 Why Choose YouTube Comment Ultra?
| Feature | Benefit |
|---|---|
| 🔥 Ultra-Fast Extraction | Get results instantly with estimated mode or guaranteed accuracy with exact mode |
| 💬 Complete Thread Data | Capture all comment replies and nested threads in single extraction |
| 🎯 Smart Filtering | Extract only comments from specific date ranges with publishedAfter |
| 📊 Flexible Output | Export to JSON, CSV, Excel, or XML — ready for your analysis pipeline |
| 🔐 No Authentication | Works without login — no session management, no API key complexity |
| 💰 Cost Effective | Pay once per run, extract unlimited comments from unlimited videos |
| 🧠 AI-Ready Output | Structured JSON format perfect for NLP, sentiment analysis, and ML training |
🏃 Two Speed Modes: Pick Your Perfect Balance
⚡ Estimated Mode (Default)
- Speed: Instant results (seconds)
- Coverage: YouTube's visible page count (~1,200 comments average)
- Accuracy: Fast approximation based on YouTube's interface
- Use Case: Quick competitive scans, trend monitoring, large-scale sampling
Best for: Brand monitoring, social listening, rapid competitive analysis
{"startUrls": [{ "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ" }],"maxComments": 500,"exactCommentCount": false,"commentsSortBy": "0"}
🎯 Exact Mode (100% Accuracy)
- Speed: Thorough traversal (minutes, depending on comment volume)
- Coverage: Every single comment on the video
- Accuracy: Guaranteed true total — walks all comment continuations
- Use Case: Sentiment analysis, detailed audience research, academic studies
Best for: Comprehensive sentiment analysis, detailed market research, complete audience profiles
{"startUrls": [{ "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ" }],"maxComments": 2000,"exactCommentCount": true,"commentsSortBy": "1","publishedAfter": "90 days"}
📋 Input Parameters
Configure your extraction with simple, human-friendly parameters:
| Parameter | Type | Description | Default |
|---|---|---|---|
| startUrls | array | One or more YouTube video URLs to scrape | [] |
| maxComments | integer | Maximum comments to store per video (0 = unlimited) | 100 |
| exactCommentCount | boolean | true = accurate total, false = fast estimate | false |
| commentsSortBy | string | "0" = Top comments, "1" = Newest first | "0" |
| publishedAfter | string | Only comments after this date (e.g., "2026-01-01" or "30 days") | null |
Supported URL Types
✅ Regular Videos: https://www.youtube.com/watch?v=VIDEO_ID✅ Playlist Items: https://www.youtube.com/watch?v=VIDEO_ID&t=30s
💡 Use Case Strategies
Strategy 1: Quick Brand Monitoring
Monitor competitors and trending videos for brand mentions in seconds.
{"startUrls": ["https://www.youtube.com/watch?v=TRENDING_VIDEO_1","https://www.youtube.com/watch?v=TRENDING_VIDEO_2"],"maxComments": 200,"exactCommentCount": false,"commentsSortBy": "0"}
Time to completion: < 30 seconds
Use case: Rapid competitive intelligence, social listening, brand mention tracking
Strategy 2: Deep Sentiment Analysis
Extract complete comment datasets for comprehensive NLP and sentiment analysis.
{"startUrls": ["https://www.youtube.com/watch?v=PRODUCT_REVIEW_VIDEO"],"maxComments": 1000,"exactCommentCount": true,"commentsSortBy": "1","publishedAfter": "2025-01-01"}
Time to completion: 2-5 minutes (depending on comment volume)
Use case: Product feedback analysis, customer sentiment, opinion mining, NLP training data
Strategy 3: Trending Content Detection
Analyze newest comments to identify emerging trends and real-time sentiment.
{"startUrls": ["https://www.youtube.com/watch?v=BREAKING_NEWS_VIDEO"],"maxComments": 500,"exactCommentCount": true,"commentsSortBy": "1"}
Time to completion: 1-3 minutes
Use case: Trend detection, real-time social listening, breaking news analysis
Strategy 4: Academic & Research
Collect complete, documented datasets for research, with exact totals and full thread structures.
{"startUrls": ["https://www.youtube.com/watch?v=RESEARCH_VIDEO_1","https://www.youtube.com/watch?v=RESEARCH_VIDEO_2"],"maxComments": 0,"exactCommentCount": true,"commentsSortBy": "0","publishedAfter": "2024-01-01"}
Time to completion: 5-10 minutes per video
Use case: Academic research, discourse analysis, sociological studies, longitudinal audience tracking
📦 Output Format
Clean, structured JSON with comprehensive comment data ready for immediate analysis:
{"cid": "UgxRn0_LUxzRP2MybPR4AaABAg","replyToCid": null,"type": "comment","comment": "This is the most amazing video I've ever seen!","author": "@CreatorName","authorIsChannelOwner": false,"hasCreatorHeart": true,"voteCount": 245,"replyCount": 12,"publishedTimeText": "2 weeks ago","videoId": "dQw4w9WgXcQ","pageUrl": "https://www.youtube.com/watch?v=dQw4w9WgXcQ","commentsCount": 1258,"title": "Video Title Here"}
Field Definitions
| Field | Type | Description |
|---|---|---|
cid | string | Unique comment ID (YouTube's internal ID) |
replyToCid | string|null | Parent comment ID (null if top-level comment) |
type | string | "comment" or "reply" |
comment | string | Full comment text |
author | string | Comment author's display name |
authorIsChannelOwner | boolean | True if author owns the video's channel |
hasCreatorHeart | boolean | True if video creator liked this comment |
voteCount | integer | Number of likes on the comment |
replyCount | integer | Number of direct replies to this comment |
publishedTimeText | string | Relative timestamp (e.g., "2 weeks ago") |
videoId | string | YouTube video ID |
pageUrl | string | Direct link to the video |
commentsCount | integer | Estimated or exact total comments on video |
title | string | Video title |
🎯 Common Use Cases
📊 Sentiment Analysis
Analyze customer opinions and product feedback at scale.
- Extract top-voted comments for quick wins
- Use exact mode for comprehensive opinion coverage
- Filter by date to track sentiment changes over time
🔍 Competitive Intelligence
Monitor competitor videos and audience reactions.
- Track brand mentions across multiple competitor videos
- Identify customer pain points from competitor feedback
- Discover emerging market trends from comment discussions
📈 Market Research
Understand audience preferences and market gaps.
- Analyze discussion threads for customer needs
- Identify feature requests in comment replies
- Track sentiment shifts for new product launches
🧠 NLP & Machine Learning
Prepare training datasets for AI models.
- Extract diverse comment samples for training
- Use exact mode to ensure balanced datasets
- Get structured JSON output compatible with ML pipelines
🚀 Social Listening
Monitor real-time trends and brand mentions.
- Use estimated mode for fast sampling
- Sort by newest to catch trending discussions
- Filter by date range to focus on specific periods
✨ Key Features
✅ Complete Thread Capture — Get top-level comments AND all nested replies in one run
✅ Creator Hearts Detected — Identify which comments were liked by the creator
✅ Smart Threading — Structured reply data shows comment relationships
✅ Date Filtering — Extract only recent comments with publishedAfter
✅ Dual-Mode Speed — Choose fast estimates or guaranteed accuracy
✅ Batch Processing — Scrape multiple videos in a single run
✅ Export Flexibility — JSON, CSV, Excel, XML all supported
✅ No API Keys — Works out of the box, no YouTube API quota needed
📝 Example Input & Output
Running the Scraper
{"startUrls": [{ "url": "https://www.youtube.com/watch?v=AVmi2ffgVzk" }],"maxComments": 300,"exactCommentCount": true,"commentsSortBy": "0","publishedAfter": "30 days"}
Results:
- ✅ Extracts up to 300 comments
- ✅ Shows true total (exact mode)
- ✅ Sorts by top comments
- ✅ Only from last 30 days
🚀 Quick Start (3 Steps)
-
Paste URLs
Add one or more YouTube video URLs to your input -
Pick a Mode
- Fast estimate? → Set
exactCommentCount: false - Complete accuracy? → Set
exactCommentCount: true
- Fast estimate? → Set
-
Start & Download
Click Start and download your comment dataset in any format (JSON, CSV, Excel, XML)
⚠️ Notes
- Estimated Mode: Uses YouTube's visible page count, typically ~1,200 comments visible
- Exact Mode: Traverses all comment continuations for guaranteed accuracy
- Rate Limiting: No authentication required; YouTube's standard rate limits apply
- Reply Threads: Replies are captured and linked via
replyToCidfield - Large Extractions: For 10,000+ comments, exact mode may take several minutes
🆘 Troubleshooting
Getting fewer comments than expected?
- In estimated mode, YouTube only shows ~1,200 comments by default
- Switch to
exactCommentCount: truefor complete traversal - Some videos have comments disabled or limited
Empty dataset?
- Check that the video URL is public and not deleted
- Verify the video has comments enabled
- Try a well-known video (e.g., Rick Roll) to test
Want results faster?
- Use
exactCommentCount: falsefor instant results - Reduce
maxCommentsto lower numbers - Sort by
"0"(top comments) instead of"1"(newest)
💼 Perfect For
- Agencies running client sentiment analysis projects
- Brands monitoring competitor reactions in real-time
- Researchers gathering large comment datasets for studies
- Analysts conducting social listening and trend detection
- Data Teams preparing ML training datasets
- Content Creators understanding audience sentiment
YouTube Comment Ultra — Extract insights from your audience, today. 🎯