The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"nodes": [
{
"id": "80b17b5c-6a05-45b9-bfa6-97fe84706687",
"name": "HTTP Request",
"type": "n8n-nodes-base.httpRequest",
"position": [
940,
320
],
"parameters": {
"url": "=https://yt.lemnoslife.com/videos?part=mostReplayed&id={{ $json.youtubeVideoID }}",
"options": {}
},
"typeVersion": 4.1
},
{
"id": "12b006e7-83f0-450e-98a8-3b5c3864fac4",
"name": "Split Out",
"type": "n8n-nodes-base.splitOut",
"position": [
1420,
260
],
"parameters": {
"options": {},
"fieldToSplitOut": "items[0].mostReplayed.markers"
},
"typeVersion": 1
},
{
"id": "cb4cdfe1-7601-43e9-b314-818556c4724b",
"name": "has intensity data?",
"type": "n8n-nodes-base.if",
"position": [
1160,
320
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "91f8b87d-228f-4877-ad25-5b9cef3a0f86",
"operator": {
"type": "object",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.items[0].mostReplayed }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2
},
{
"id": "76614979-d1eb-4b9e-8b16-0f22705d0a0a",
"name": "No intensity data available for video",
"type": "n8n-nodes-base.noOp",
"position": [
1420,
500
],
"parameters": {},
"typeVersion": 1
},
{
"id": "7532185d-30c8-4fab-bb95-6aaa1e96c9f5",
"name": "intensity > 0.6",
"type": "n8n-nodes-base.filter",
"position": [
1620,
260
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "86716013-333d-4418-b516-f86f5098abca",
"operator": {
"type": "number",
"operation": "gt"
},
"leftValue": "={{ $json.intensityScoreNormalized }}",
"rightValue": 0.6
}
]
}
},
"typeVersion": 2
},
{
"id": "6021cfc5-614c-41a5-b08d-557f6b2ceb94",
"name": "Filter out moments close to each other",
"type": "n8n-nodes-base.filter",
"position": [
2000,
260
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "7f682942-953b-4489-b892-811b0bec22ce",
"operator": {
"type": "number",
"operation": "gt"
},
"leftValue": "={{ $input.all()[ $itemIndex + 1].json.startSec }}",
"rightValue": "={{ $input.all()[ $itemIndex ].json.startSec + 20 }}"
}
]
}
},
"typeVersion": 2
},
{
"id": "99e3d626-b394-48e6-925e-b5eca155720f",
"name": "Input variables",
"type": "n8n-nodes-base.set",
"position": [
720,
320
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "fcd7c7ef-8b06-45fa-8257-d44ed772cf08",
"name": "youtubeVideoID",
"type": "string",
"value": "={{ $json.query.ytID }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "50e81b17-4b82-4a8f-a559-aff6ee671c7f",
"name": "Aggregate",
"type": "n8n-nodes-base.aggregate",
"position": [
2400,
260
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "engagingMoments"
},
"typeVersion": 1
},
{
"id": "5cfd4462-ff82-499a-9090-e233a6147af6",
"name": "Create each moment (human readable)",
"type": "n8n-nodes-base.set",
"position": [
2200,
260
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "2ad5088d-f42a-42f6-931e-bc11e5ce43da",
"name": "humanReadableMessage",
"type": "string",
"value": "=Engaging moment #{{ $itemIndex +1 }}: https://youtu.be/{{ $('Input variables').first().json.youtubeVideoID }}?t={{ $json.startSec.round() - 3 }}\n"
},
{
"id": "dcbe5150-2aaa-46d4-960e-4cad0204dbf4",
"name": "startSec",
"type": "string",
"value": "={{ $json.startSec.round() }}"
},
{
"id": "6a554773-9caf-4682-9e36-5d7dfee6d5f5",
"name": "directYTURL",
"type": "string",
"value": "=https://youtu.be/{{ $('Input variables').first().json.youtubeVideoID }}?t={{ $json.startSec.round() - 3 }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.3
},
{
"id": "aa70beee-e6ed-4af4-892c-743f8150a57f",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
500,
320
],
"parameters": {
"path": "youtube-engaging-moments-extractor",
"options": {},
"responseMode": "responseNode"
},
"typeVersion": 1.1
},
{
"id": "7b55436e-45d7-4fd7-8a08-0127e8dfb299",
"name": "millisecs to seconds",
"type": "n8n-nodes-base.set",
"position": [
1800,
260
],
"parameters": {
"include": "except",
"options": {},
"assignments": {
"assignments": [
{
"id": "8b350b84-b78f-46d4-adfb-7115b64494ba",
"name": "startSec",
"type": "number",
"value": "={{ $json.startMillis / 1000 }}"
}
]
},
"excludeFields": "startMillis",
"includeOtherFields": true
},
"typeVersion": 3.3
},
{
"id": "182da3ef-19c0-4356-866d-159d5aa8be16",
"name": "prepare response",
"type": "n8n-nodes-base.set",
"position": [
2620,
260
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "35261be7-c208-4025-bca1-0b41cf011c38",
"name": "youtubeID",
"type": "string",
"value": "={{ $('Webhook').item.json.query.ytID }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.3
},
{
"id": "03830a21-13b3-426d-b972-43ded224b66f",
"name": "Respond with \"no results\"",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1660,
500
],
"parameters": {
"options": {},
"respondWith": "json",
"responseBody": "={\n \"engagingMoments\": null,\n \"youtubeID\": \"{{ $('Webhook').item.json.query.ytID }}\"\n}"
},
"typeVersion": 1
},
{
"id": "d7e8441c-a429-490b-8993-c714fcbb61a2",
"name": "Respond with moments",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
2860,
260
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "cfa06a1f-8e50-4e91-9a18-5b77e315a816",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
1620,
480
],
"parameters": {
"color": 3,
"width": 307.626814098134,
"height": 357.96212854181044,
"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\nExample response \ud83d\udc47\n"
},
"typeVersion": 1
},
{
"id": "3c4b9ced-1713-4f02-8a95-519e2e4f2ce8",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
2800,
240
],
"parameters": {
"color": 4,
"width": 402.30435383552106,
"height": 480.9199723565991,
"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nExample response \ud83d\udc47\n"
},
"typeVersion": 1
},
{
"id": "15e8201c-6b72-40f6-bdd2-441a74424aa3",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
500,
-180
],
"parameters": {
"color": 5,
"width": 362.9578438147888,
"height": 424.35936420179615,
"content": "## Extract engaging moments from YouTube video\nThis template takes a YouTube video ID and returns potentially engaging moments, based on the \"intensity\" of a certain timestamp \ud83d\udc47\n\n"
},
"typeVersion": 1
},
{
"id": "3edebeb4-c842-4366-a05a-d463fffe449f",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
880,
60
],
"parameters": {
"color": 5,
"width": 445.3395991706974,
"height": 184.59156876295762,
"content": "### How to use\n1. Open `Webhook` node and copy the `Production URL`\n2. Activate the workflow\n3. In a web browser, PostMan or n8n HTTP Request invoke the Production URL: `{prod url}?ytID={youtube ID}`. \ne.g. `{your instance URL}/webhook/youtube-engaging-moments-extractor?ytID=IZsQqarWXtYy`"
},
"typeVersion": 1
}
],
"connections": {
"Webhook": {
"main": [
[
{
"node": "Input variables",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "prepare response",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "intensity > 0.6",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request": {
"main": [
[
{
"node": "has intensity data?",
"type": "main",
"index": 0
}
]
]
},
"Input variables": {
"main": [
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
},
"intensity > 0.6": {
"main": [
[
{
"node": "millisecs to seconds",
"type": "main",
"index": 0
}
]
]
},
"prepare response": {
"main": [
[
{
"node": "Respond with moments",
"type": "main",
"index": 0
}
]
]
},
"has intensity data?": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
],
[
{
"node": "No intensity data available for video",
"type": "main",
"index": 0
}
]
]
},
"millisecs to seconds": {
"main": [
[
{
"node": "Filter out moments close to each other",
"type": "main",
"index": 0
}
]
]
},
"Create each moment (human readable)": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
]
},
"No intensity data available for video": {
"main": [
[
{
"node": "Respond with \"no results\"",
"type": "main",
"index": 0
}
]
]
},
"Filter out moments close to each other": {
"main": [
[
{
"node": "Create each moment (human readable)",
"type": "main",
"index": 0
}
]
]
}
}
}
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
How this works
This workflow processes incoming video data via a webhook to detect and extract intense moments, filtering out those with low intensity or clustered too closely together, delivering a refined list of highlights ready for further use. It's ideal for content creators, video editors, or developers building automated media analysis tools who need to pinpoint engaging segments without manual review. The key step involves the splitOut node, which breaks down the video's intensity data stream, followed by conditional filtering to ensure only high-impact moments (above 0.6 intensity) are retained, integrating seamlessly with HTTP Request for data ingestion.
Use this workflow when handling large volumes of video uploads requiring quick isolation of peak emotional or action-packed sections, such as in social media monitoring or sports highlight generation. Avoid it for non-video inputs or scenarios needing real-time processing beyond webhook triggers, as it focuses on batch analysis. Common variations include adding email notifications for extracted moments or chaining to cloud storage integrations like Google Drive for automatic archiving.
About this workflow
Splitout. Uses httpRequest, splitOut, noOp, respondToWebhook. Webhook trigger; 18 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
address validation. Uses httpRequest, splitOut, stickyNote. Webhook trigger; 31 nodes.
HTTP Request
Get all scaleway server info copy. Uses respondToWebhook, stickyNote, httpRequest, splitInBatches. Webhook trigger; 24 nodes.
HTTP Request
Webhook Respondtowebhook. Uses respondToWebhook, executeWorkflow, airtable, crypto. Webhook trigger; 16 nodes.
Airtable, Crypto, HTTP Request
Amazon keywords. Uses airtable, httpRequest, splitOut, stickyNote. Webhook trigger; 12 nodes.
Airtable, HTTP Request
Splitout. Uses splitOut, removeDuplicates, respondToWebhook, stickyNote. Webhook trigger; 10 nodes.
HTTP Request