YouTube Creator Analyzer

Channel deep-dive: subscribers, views, engagement, content categories, upload cadence, and the monetization signals that matter.

YouTube hides the real story behind a subscriber count. This actor pulls what the algorithm actually cares about: real engagement rates, video performance patterns, content mix, upload consistency, and whether they're actually making money. See which creators have authentic audiences and which are coasting on old fame.

⚡ What You Get

📺 YOUTUBE CHANNEL INTELLIGENCE
├── Channel: "Tech Talks Daily" (587K subscribers)
│   ├── Basic Metrics
│   │   ├── Subscribers: 587,234
│   │   ├── Total Views: 94,723,487
│   │   ├── Total Videos: 342
│   │   └── Channel Age: 4 years 3 months
│   ├── Engagement Profile
│   │   ├── Avg Views Per Video: 276,892
│   │   ├── Avg Likes Per Video: 8,921
│   │   ├── Engagement Rate: 3.23% (Healthy for tech content)
│   │   │   └── 👈 This is 2.1x higher than average tech channels
│   │   ├── Avg Comments Per Video: 487
│   │   └── Comment Sentiment: 92% positive (Good community health)
│   ├── Content Mix
│   │   ├── Tutorial/How-to: 42% of videos (avg 298K views)
│   │   ├── Product Reviews: 35% (avg 341K views — highest performer!)
│   │   ├── News/Analysis: 18% (avg 156K views)
│   │   └── Livestreams: 5% (avg 89K views, 2.1K concurrent)
│   ├── Upload Consistency
│   │   ├── Videos Per Week: 2.3 (Very consistent)
│   │   ├── 30-Day Upload Rate: 9 videos (Reliable frequency)
│   │   ├── Typical Upload Times: Tuesday/Thursday/Saturday 2pm UTC
│   │   └── Schedule Consistency Score: 94/100
│   ├── Monetization Signals
│   │   ├── Estimated Monthly Ad Revenue: $18,500 - $24,200
│   │   ├── Estimated Sponsorship Value: $12,000 - $18,500 per video
│   │   ├── YouTube Partner Status: Confirmed
│   │   ├── Estimated CPM: $8.50 - $12.25
│   │   └── Demonetization Risk: Low (92% videos monetized)
│   ├── Audience Quality
│   │   ├── Subscriber Growth Rate: +2.1% per month (Organic)
│   │   ├── View Retention: 3.2 minutes avg (Good for 8min videos)
│   │   ├── Click-Through Rate: 4.7% (Quality audience)
│   │   └── Primary Audience: US (61%) | UK (15%) | Canada (9%)
│   └── Growth Trajectory
│       ├── 6-Month Subscriber Growth: +67K
│       ├── 12-Month Subscriber Growth: +156K
│       └── Trend: STABLE & HEALTHY (not inflated)

🎯 Use Cases

• Brand Managers: Find creators with authentic engagement. YouTube subscribers are harder to fake — these metrics tell the truth.
• Content Strategists: Understand what works in your niche. See which video formats get the most engagement.
• Sponsorship Teams: Know exactly how much a creator's worth before negotiating. Real data beats guessing.
• Competitive Analysts: Monitor competitor channels. Track their growth, see which videos perform best, identify content gaps.
• Talent Acquisition: Build your creator network with data. Find rising creators before YouTube's algorithm makes them expensive.

📊 Sample Output

{
  "channel_id": "UCm9h4Z8S2x4JvB2J3XkN9q4",
  "channel_name": "Tech Talks Daily",
  "channel_url": "https://www.youtube.com/c/TechTalksDaily",
  "custom_url": "@techtalksdaily",
  "description": "Weekly deep dives into tech trends, product reviews, and industry analysis.",
  "verified": true,
  "profile_image": "https://yt3.ggpht.com/...",
  "banner_image": "https://yt3.ggpht.com/...",
  "subscribers_count": 587234,
  "total_views": 94723487,
  "total_videos": 342,
  "channel_age_days": 1557,
  "engagement_metrics": {
    "average_views_per_video": 276892,
    "average_likes": 8921,
    "average_comments": 487,
    "engagement_rate_percent": 3.23,
    "comment_sentiment_positive_percent": 92,
    "average_view_duration_seconds": 192,
    "viewer_retention_percent": 42
  },
  "content_analysis": {
    "primary_category": "Technology",
    "primary_content_type": "Tutorial/How-to",
    "content_mix": [
      {
        "type": "Tutorial/How-to",
        "percentage": 42,
        "average_views": 298421,
        "average_engagement_rate": 3.8
      },
      {
        "type": "Product Reviews",
        "percentage": 35,
        "average_views": 341892,
        "average_engagement_rate": 4.1
      },
      {
        "type": "News/Analysis",
        "percentage": 18,
        "average_views": 156234,
        "average_engagement_rate": 2.9
      },
      {
        "type": "Livestreams",
        "percentage": 5,
        "average_views": 89234,
        "average_concurrent_viewers": 2100
      }
    ],
    "primary_keywords": ["tech trends", "product review", "how to", "gadget review"],
    "popular_video_topics": [
      {"topic": "iPhone reviews", "video_count": 28, "avg_views": 412891},
      {"topic": "AI tools", "video_count": 24, "avg_views": 398234},
      {"topic": "Productivity software", "video_count": 19, "avg_views": 267893}
    ]
  },
  "upload_behavior": {
    "videos_per_week": 2.3,
    "videos_per_month": 9.8,
    "consistency_score": 94,
    "typical_upload_times": ["Tuesday 14:00 UTC", "Thursday 14:00 UTC", "Saturday 14:00 UTC"],
    "days_since_last_upload": 2
  },
  "monetization": {
    "is_youtube_partner": true,
    "estimated_monthly_ad_revenue_low": 18500,
    "estimated_monthly_ad_revenue_high": 24200,
    "estimated_cpm": 8.5,
    "estimated_rpm": 6.2,
    "estimated_video_sponsorship_value_low": 12000,
    "estimated_video_sponsorship_value_high": 18500,
    "videos_monetized_percent": 92,
    "demonetization_risk": "low"
  },
  "growth_analytics": {
    "subscriber_growth_30_day": 4128,
    "subscriber_growth_30_day_percent": 0.71,
    "subscriber_growth_6_month": 67234,
    "subscriber_growth_6_month_percent": 12.8,
    "subscriber_growth_12_month": 156234,
    "subscriber_growth_12_month_percent": 36.2,
    "growth_trend": "stable",
    "growth_consistency_score": 88
  },
  "audience_geography": {
    "US": 61,
    "UK": 15,
    "Canada": 9,
    "Australia": 7,
    "other": 8
  },
  "top_performing_videos": [
    {
      "video_id": "dQw4w9WgXcQ",
      "title": "I tested every iPhone 15 feature for 24 hours",
      "published_date": "2026-02-15T14:00:00Z",
      "views": 1240892,
      "likes": 42891,
      "comments": 2847,
      "duration_seconds": 1247,
      "engagement_rate": 3.6
    },
    {
      "video_id": "dQw4w9WgXcR",
      "title": "This AI tool will replace your job in 2026",
      "published_date": "2026-02-08T14:00:00Z",
      "views": 987234,
      "likes": 31247,
      "comments": 2134,
      "duration_seconds": 892,
      "engagement_rate": 3.2
    }
  ],
  "last_updated": "2026-02-26T15:18:00Z"
}

Key Fields Explained:

• engagement_rate_percent: (likes + comments) / views. Tech creators average 1.5% — this channel hits 3.23%. That's gold.
• viewer_retention_percent: What % of the video do people watch before leaving? 42% is solid for long-form tech content.
• consistency_score: Are they reliable? 94/100 means you can predict their output. Great for partnership planning.
• estimated_cpm: Cost per mille (thousand views). Higher CPM = higher-value audience. Tech/finance audiences have CPMs 2-3x higher than entertainment.

🔗 Integrations & Automation

Daily Channel Monitoring: Track 50 creator channels automatically. Get alerts when someone hits a new subscriber milestone or engagement record.

Email Reports: Weekly summaries of channel performance. See which videos outperformed, which topics are resonating.

Spreadsheet Sync: Auto-update your creator roster with fresh metrics. Build dynamic reports that update in real-time.

MCP Integration: Query any creator's stats on-demand through your AI workflow.

Full integrations guide →

🔗 Works Great With

• YouTube Channel Intelligence Hub — Enterprise-grade multi-channel tracking. Compare creators side-by-side.
• Instagram Creator Analyzer — Multi-platform analysis. See which platform actually drives their audience.
• TikTok Profile Scraper — Compare YouTube to TikTok. Some creators own YouTube, others crush TikTok.
• Twitter Profile Analyzer — Complete social intelligence across all major platforms.

💰 Cost & Performance

Typical run: 100 YouTube channels analyzed in ~2 minutes for $1.50. That's $0.015 per channel — negligible cost.

Manual analysis? 10 minutes per channel × 100 = 16+ hours of your analyst's time. At $75/hour, that's $1,200 you saved. Our actor cost $1.50.

Includes: Proxy rotation, rate limiting, and guaranteed fresh data.

🛡️ Built Right

• Anti-Detection: Rotates through residential proxies. YouTube's throttling can't touch us.
• Rate Limiting: Respects YouTube's API limits. No 429 errors, no slowdowns.
• Error Handling: Network timeout? We retry. Missing data field? We note it and continue.
• Data Freshness: Pulls directly from YouTube's public APIs. No cached data, no stale metrics.
• Privacy Safe: Public data only. No private videos, no unlisted content.

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Fresh data. Zero guesswork. Be the first to know.

📧 Email alerts · 🔗 Webhook triggers · 🤖 MCP compatible · 📡 API access

Built by Creator Fusion — OSINT tools that actually work.