Use this powerful n8n workflow to identify the most engaging moments in any YouTube video using replay data. Filter intensity peaks and expose results instantly via a custom n8n API endpoint, ideal for developers looking for high-utility n8n templates.
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Content creators and video editors who need to quickly locate viral or highly replayed sections of their videos.
Developers building media analytics tools.
Users seeking high-performance n8n templates for data processing.
Anyone needing to implement a custom API using an n8n trigger and complex filtering logic.
Manually reviewing long YouTube videos to find the most captivating moments is time-consuming. This n8n workflow solves this by creating a simple API interface. When triggered with a YouTube Video ID (ytID), the workflow immediately queries an external service for 'most replayed' data, often visualized as the replay intensity curve.
The core value of this n8n node structure lies in its advanced data filtering. It not only extracts potential engaging moments but also cleans the data by enforcing a minimum intensity score (0.6) and preventing the reporting of moments that occur too close together (within 20 seconds). This sophisticated logic transforms raw intensity data into a curated list of actionable, engaging moments, delivered back to the caller instantly. This is a robust example of a custom API built using n8n.
This n8n workflow operates as a streamlined API endpoint:
youtube-engaging-moments-extractor). It expects the YouTube ID via a query parameter (ytID).ytID as the youtubeVideoID variable for subsequent steps.has intensity data? If n8n node checks if replay markers exist. If not, the flow is diverted to the 'No results' response path.intensity > 0.6), discarding any markers with a normalized intensity score below this threshold.millisecs to seconds n8n node converts the marker start time from milliseconds to human-readable seconds.Filter out moments close to each other n8n node ensures quality by removing redundant peaks. It compares the current moment's start time with the next moment's start time, keeping only those separated by at least 20 seconds.Create each moment (human readable) n8n node formats the filtered results, generating direct YouTube links that jump to the moment (minus 3 seconds for context).engagingMoments.To use this n8n template, follow these steps:
{yourinstanceurl}/webhook/youtube-engaging-moments-extractor?ytID={youtubevideoid}. Replace {youtubevideoid} with the ID of the video you want to analyze. Webhook (n8n trigger): Serves as the API entry point. Configured with a path of youtube-engaging-moments-extractor and expects response to be handled by a later node.
HTTP Request (n8n node): Fetches replay data using a dynamic URL, incorporating the received youtubeVideoID.
If (n8n node): Provides essential core logic flow control, checking for the existence of intensity data ({{ $json.items[0].mostReplayed }}) before proceeding.
Split Out (n8n node): Splits the array of intensity markers (items[0].mostReplayed.markers) into individual items for filtering.
Filter (n8n node): Used twice. First, to ensure intensityScoreNormalized is greater than 0.6. Second, to implement complex data cleaning, ensuring moments are separated by more than 20 seconds, enhancing the quality of this n8n workflow.
Set (n8n node): Used for data manipulation, including converting milliseconds to seconds and creating human-readable direct YouTube links.
Aggregate (n8n node): Re-combines all processed, filtered items back into a single list named engagingMoments.
Respond to Webhook (n8n node): Handles the final API response, returning the success payload or the 'no results' message.
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