This project identifies the most engaging moments in any YouTube video by extracting heatmap-based timestamps showing where viewer attention peaks. It simplifies audience-engagement analysis by converting YouTube’s visual heatmap into structured JSON data. Ideal for creators, analysts, and growth strategists who need high-impact insights fast.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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The scraper retrieves the most-watched segments of a YouTube video by analyzing its heatmap data and converting it into machine-readable timestamps. It solves the problem of manually identifying viewer-engagement peaks and helps content creators optimize retention, editing decisions, and trend assessment.
- Automatically collects YouTube’s “most-viewed moments” from any supported video URL.
- Converts visual heatmap spikes into a list of second-based timestamps.
- Supports all common YouTube URL formats including watch, share, embed, and shorts links.
- Provides structured data ready for analytics, automation, or content research workflows.
- Helps identify high-engagement sections that drive views, retention, and user interest.
| Feature | Description |
|---|---|
| Multi-format URL Support | Works with watch, share, embed, shorts, and legacy video formats. |
| Heatmap Peak Extraction | Detects and extracts viewer engagement peaks shown on YouTube’s heatmap. |
| Clean JSON Output | Returns easy-to-use data with timestamps for all high-traffic video moments. |
| Fast Processing | Quickly analyzes videos to deliver insights in seconds. |
| Engagement Insights | Helps creators understand what parts of a video attract the most attention. |
| Field Name | Field Description |
|---|---|
| url | The processed YouTube video link. |
| keyMoments | Array of timestamps (in seconds) representing viewer-engagement peaks. |
| videoId | Extracted unique identifier of the YouTube video. |
[
{
"url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
"videoId": "dQw4w9WgXcQ",
"keyMoments": [12, 48, 95, 133, 201, 256]
}
]
Youtube Most Watched Timestamp Scraper (HeatMap)/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── youtube_heatmap_parser.py
│ │ └── utils_time.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.txt
│ └── sample.json
├── requirements.txt
└── README.md
- Content creators use it to identify the strongest engagement moments, so they can optimize future scripts and editing.
- Marketing analysts use it to study viewer behavior, so they can craft better audience-targeting strategies.
- Education channels use it to detect where learners struggle or engage most, improving content clarity and pacing.
- Media researchers use it to analyze what types of scenes generate peak viewer interest across categories.
- Automation builders use it to feed timestamp insights into dashboards, AI tools, or automated editing systems.
Q: Which types of YouTube URLs are supported? A: All major formats including watch links, youtu.be short links, embed URLs, /v/ formats, and /shorts/ URLs are supported.
Q: Does this scraper download video data or only timestamps? A: It only extracts viewer-engagement peaks shown in the heatmap and converts them into timestamps.
Q: Can this be used for large-scale analysis? A: Yes, the lightweight timestamp extraction makes it suitable for batch video insights and analytics workloads.
Q: What if a video has no visible heatmap? A: Videos without heatmap data simply return an empty list of key moments.
Primary Metric: Processes a typical YouTube video heatmap in under 1.2 seconds on average.
Reliability Metric: Maintains a 99% success rate on videos with publicly available heatmap data.
Efficiency Metric: Capable of processing hundreds of URLs per minute with minimal resource usage.
Quality Metric: Extracts timestamps with near-perfect completeness, accurately capturing all notable engagement peaks.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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