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📊 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:

{
"video_urls":[
{
"url":"https://www.youtube.com/watch?v=2VLqZtded_0&",
"method":"GET"
}
]
}

📌 Fields Explained

📤 Output Example

Get structured heatmap data perfect for analysis:

[
{
"original_url":"https://www.youtube.com/watch?v=2VLqZtded_0&",
"title":"Maher Zain & Harris J - Qalbi Fil Madinah...",
"thumbnail":"https://i.ytimg.com/vi_webp/2VLqZtded_0/maxresdefault.webp",
"heatmap":[
{
"start_time":0,// Start of segment (seconds)
"end_time":2.48,// End of segment (seconds)
"value":0.65845// Engagement intensity (0-1)
},
{
"start_time":245.52,// Final segment example
"end_time":248,
"value":0.00374// Near-zero engagement
}
]
}
]

💡 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

👁 Heatmap Visualization Example

🔐 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!

👁 Deploy to Apify

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