"Most Replayed" Data of YouTube Video via API

Question

Is there any way to extract the "Most Replayed" (aka Video Activity Graph) Data from a YouTube video via API?

What I'm referring to:

Answer 1

One more time YouTube Data API v3 doesn't provide a basic feature.

I recommend you to try out my open-source YouTube operational API. Indeed by fetching https://yt.lemnoslife.com/videos?part=mostReplayed&id=VIDEO_ID, you will get the most replayed graph values you are looking for in item["mostReplayed"].

With the video id XiCrniLQGYc you would get:

{
    "kind": "youtube#videoListResponse",
    "etag": "NotImplemented",
    "items": [
        {
            "kind": "youtube#video",
            "etag": "NotImplemented",
            "id": "XiCrniLQGYc",
            "mostReplayed": {
                "markers": [
                    {
                        "startMillis": 0,
                        "intensityScoreNormalized": 1
                    },
                    {
                        "startMillis": 2580,
                        "intensityScoreNormalized": 0.7083409245967562
                    },
                    {
                        "startMillis": 5160,
                        "intensityScoreNormalized": 0.6381007317793738
                    },
                    ...
                    {
                        "startMillis": 255420,
                        "intensityScoreNormalized": 0.012864077773078256
                    }
                ],
                "timedMarkerDecorations": [
                    {
                        "visibleTimeRangeStartMillis": 0,
                        "visibleTimeRangeEndMillis": 10320
                    }
                ]
            }
        }
    ]
}

Answer 2

Adding the following snippet to parse/read through @Benjamin's API response. This function will give you the top 5 snippets (peaks) from the video.

def get_peak_rewatched_timestamps(test_data):
    markers = test_data['items'][0]['mostReplayed']['markers']
    sorted_markers = sorted(markers, key=lambda x: x['intensityScoreNormalized'], reverse=True)    
    top_markers = sorted_markers[:5]
    top_timestamps_seconds = [marker['startMillis'] / 1000 for marker in top_markers]
    return top_timestamps_seconds