---

📊 YouTube Video Heatmap Scraper – Extract Engagement Data & Visualize Viewer Hotspots 🔥

🌡️ Overview

Want to analyze viewer engagement down to the second? This actor extracts frame-by-frame heatmap data from YouTube videos, showing exactly where audiences are most captivated!

The YouTube Video Heatmap Scraper reveals engagement intensity (0-1 scale) for every 2.48-second segment – perfect for content optimization, ad placement, and trend analysis!

⚡ Average runtime: Under 3 minutes per video!
📈 Output-ready for charts, dashboards, or AI training.

---

🔥 Key Features

🕒 Frame-Perfect Segmentation
✔️ 2.48-second time intervals (YouTube’s native engagement tracking)
✔️ Normalized engagement scores from 0 (cold) to 1 (red-hot)

📊 Visualization-Ready Data
✔️ Directly compatible with tools like Tableau, PowerBI, or D3.js
✔️ Timestamp alignment for sync with transcripts/thumbnails

🎯 Multi-Video Support
✔️ Process entire playlists or competitor videos in bulk
✔️ Compare engagement patterns across content

📦 Rich Metadata
✔️ Video title, thumbnail, original URL
✔️ 100+ data points per video

🔧 Enterprise-Grade
✔️ Auto-retries for failed segments
✔️ Proxy support for large-scale scraping

---

⚙️ Input Configuration

Add YouTube URLs like this:

1{
2  "video_urls": [
3    {
4      "url": "https://www.youtube.com/watch?v=2VLqZtded_0&",
5      "method": "GET"
6    }
7  ]
8}

📌 Fields Explained

Field	Description
video_urls	🎬 List of YouTube video URLs
method	⚙️ Always use GET

---

📤 Output Example

Get structured heatmap data perfect for analysis:

1[
2  {
3    "original_url": "https://www.youtube.com/watch?v=2VLqZtded_0&",
4    "title": "Maher Zain & Harris J - Qalbi Fil Madinah...",
5    "thumbnail": "https://i.ytimg.com/vi_webp/2VLqZtded_0/maxresdefault.webp",
6    "heatmap": [
7      {
8        "start_time": 0,         // Start of segment (seconds)
9        "end_time": 2.48,        // End of segment (seconds)
10        "value": 0.65845         // Engagement intensity (0-1)
11      },
12      {
13        "start_time": 245.52,    // Final segment example
14        "end_time": 248,
15        "value": 0.00374         // Near-zero engagement
16      }
17    ]
18  }
19]

---

💡 Use Cases

🎯 Content Creators – Identify drop-off points and peak moments
📈 Marketers – Optimize ad placements in high-engagement zones
🎓 Researchers – Study viewer behavior at scale
🤖 AI Teams – Train retention-prediction models
📉 Analysts – Benchmark competitor video performance

---

🛠️ How It Works

1️⃣ Add YouTube URLs
2️⃣ Scraper extracts raw engagement data
3️⃣ Normalizes values to 0-1 scale
4️⃣ Returns timestamped heatmap segments

---

🔐 Privacy & Security

🔒 No YouTube API keys required
🛡️ GDPR/CCPA compliant data handling
🌐 Residential proxies supported

---

🧩 Related Tools

🔗 YouTube Transcript Scraper – Pair heatmaps with subtitles

---

📧 Custom Solutions?

Need CSV exports, longer time windows, or custom visualizations?

✉️ Email scrapearchitect@gmail.com for tailored setups!

---

🚀 Deploy Now!

Unlock viewer psychology – discover what makes your audience stay glued!

---