This workflow follows the Agent → Execute Workflow Trigger recipe pattern — see all workflows that pair these two integrations.
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 →
{
"name": "Faceless Video",
"nodes": [
{
"parameters": {
"method": "POST",
"url": "https://api.piapi.ai/api/v1/task",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"model\": \"Qubico/flux1-dev\",\n \"task_type\": \"txt2img\",\n \"input\": {\n \"prompt\": \"{{ $json.output.replace(/\"/g, '') }}\",\n \"width\": 540, \n \"height\": 960\n } \n}",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1220,
40
],
"id": "520bef44-17b4-4b1d-b23a-04f6462d6e28",
"name": "Generate Image",
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"url": "=https://api.piapi.ai/api/v1/task/{{ $json.data.task_id }}",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1580,
40
],
"id": "dc348129-2877-4d64-8e89-d9e462057905",
"name": "Get Images",
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "=Scene: {{ $('Get Images').item.json.data.input.prompt }}",
"options": {
"systemMessage": "=# Overview\nYou are a Master Sound Prompt Generator.\nYour task is to create vivid, immersive sound prompts based on a given scene. These prompts will be used to generate background audio that matches the mood and environment of the scene.\n\n## Instructions\n- Generate a one- to two-sentence prompt that captures the ambiance, tone, and key sound elements.\n- Use rich, evocative language to describe the background atmosphere, highlighting specific sounds (e.g., footsteps on cobblestone, distant chatter, wind rustling leaves, faint music, industrial hum).\n- Focus on the background audio \u2014 not dialogue, narration, or foreground sound effects.\n- Match the emotion and setting of the scene, whether it's calm, chaotic, eerie, festive, or serene.\n- Avoid vague descriptions; be specific and sensory-driven to maximize immersion.\n- Never include quotation marks (\"\") or newlines (\\n) in the output.\n\n## Output\nReturn only the crafted sound prompt text, ready to be used for an audio generation model.\n"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.7,
"position": [
1840,
40
],
"id": "12adad38-bdb9-4536-83c9-3fb49b0355cc",
"name": "Sound Agent"
},
{
"parameters": {
"method": "POST",
"url": "https://api.elevenlabs.io/v1/sound-generation",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "text",
"value": "={{ $json.output.replace(/\"/g, '') }}"
},
{
"name": "duration_seconds",
"value": "5"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
2200,
40
],
"id": "bc0ea21f-f5d3-4bd4-90ac-8a7e2ff2169e",
"name": "Generate Audio",
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"name": "={{ $('Get Videos').item.json.id }}.mp3",
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive"
},
"folderId": {
"__rl": true,
"value": "1hhZhHBv0zm3adye9LE_sxwme7z7yUXw5",
"mode": "list",
"cachedResultName": "Audio Files",
"cachedResultUrl": "https://drive.google.com/drive/folders/1hhZhHBv0zm3adye9LE_sxwme7z7yUXw5"
},
"options": {}
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
2380,
40
],
"id": "d09f0018-5ce4-49c7-87a7-cd1f629e3ced",
"name": "Upload to Drive",
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"mode": "combine",
"combineBy": "combineByPosition",
"numberInputs": 3,
"options": {}
},
"type": "n8n-nodes-base.merge",
"typeVersion": 3,
"position": [
1860,
380
],
"id": "b2d5a271-16d1-4efe-badb-9444ee1e1d13",
"name": "Merge"
},
{
"parameters": {
"method": "POST",
"url": "https://api.creatomate.com/v1/renders",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer "
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"template_id\": \"e19f26a1-dfb6-4a0d-a3ba-d394e398b3c9\",\n \"modifications\": {\n \"Video-1.source\": \"{{ $json.urls[0].url }}\",\n \"Video-2.source\": \"{{ $json.urls[1].url }}\",\n \"Video-3.source\": \"{{ $json.urls[2].url }}\",\n \"Video-4.source\": \"{{ $json.urls[3].url }}\",\n \"Audio-1.source\": \"{{ $json.urls[0].webContentLink }}\",\n \"Audio-2.source\": \"{{ $json.urls[1].webContentLink }}\",\n \"Audio-3.source\": \"{{ $json.urls[2].webContentLink }}\",\n \"Audio-4.source\": \"{{ $json.urls[3].webContentLink }}\"\n }\n}",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
2260,
380
],
"id": "2290259f-360d-42b9-ab23-e122e2a5443b",
"name": "Render Video"
},
{
"parameters": {
"amount": 25
},
"type": "n8n-nodes-base.wait",
"typeVersion": 1.1,
"position": [
2460,
380
],
"id": "54cc20c4-01a1-4c01-8007-72a5bdcea1c4",
"name": "25 Seconds"
},
{
"parameters": {
"url": "={{ $json.url }}",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1860,
600
],
"id": "8bf72e15-1a7b-4031-956a-6be1fba75fb4",
"name": "Download Video"
},
{
"parameters": {
"content": "# Generate Image Prompts",
"height": 540,
"width": 740,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
-60
],
"typeVersion": 1,
"id": "6affcc6c-fcad-4b6b-b379-129f438bbbb1",
"name": "Sticky Note3",
"disabled": true
},
{
"parameters": {
"content": "# Generate Images\n",
"height": 260,
"width": 600,
"color": 5
},
"type": "n8n-nodes-base.stickyNote",
"position": [
1160,
-60
],
"typeVersion": 1,
"id": "3ee9d1ef-6117-4426-8e26-90316ad38db7",
"name": "Sticky Note4"
},
{
"parameters": {
"content": "# Generate Audio\n\n",
"height": 320,
"width": 980,
"color": 3
},
"type": "n8n-nodes-base.stickyNote",
"position": [
1780,
-60
],
"typeVersion": 1,
"id": "967cf09a-3d9a-435c-b12a-82998fdd06d6",
"name": "Sticky Note"
},
{
"parameters": {
"content": "# Render & Log\n",
"height": 500,
"width": 1040
},
"type": "n8n-nodes-base.stickyNote",
"position": [
1780,
280
],
"typeVersion": 1,
"id": "19463bad-eb6e-40fd-86a0-1e02fb9138f2",
"name": "Sticky Note2"
},
{
"parameters": {
"url": "=https://api.dev.runwayml.com/v1/tasks/{{ $json.id }}",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "X-Runway-Version",
"value": "2024-11-06"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1580,
320
],
"id": "809a119f-219f-433f-92fa-8a0695995cd9",
"name": "Get Videos",
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"method": "POST",
"url": "https://api.dev.runwayml.com/v1/image_to_video",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "X-Runway-Version",
"value": "2024-11-06"
}
]
},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "promptImage",
"value": "={{ $json.data.output.image_url }}"
},
{
"name": "model",
"value": "gen3a_turbo"
},
{
"name": "ratio",
"value": "768:1280"
},
{
"name": "duration",
"value": "5"
},
{
"name": "promptText",
"value": "={{ $json.data.input.prompt.replace(/\"/g, '') }}"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1240,
320
],
"id": "01b650f5-fb9e-426e-85ad-2958c5974811",
"name": "Generate Videos",
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"content": "# Generate Videos\n",
"height": 260,
"width": 600,
"color": 5
},
"type": "n8n-nodes-base.stickyNote",
"position": [
1160,
220
],
"typeVersion": 1,
"id": "ffd0275b-9164-434b-a400-c68c44916cad",
"name": "Sticky Note5"
},
{
"parameters": {
"jsCode": "// N8n Code Node to extract URLs from output arrays and combine them into a single array\n// This code assumes your input JSON is in items[0].json or is multiple items\n// Determine data source format\nlet inputArray;\nif (items.length === 1 && Array.isArray(items[0].json)) {\n // If we have a single item containing our array\n inputArray = items[0].json;\n} else if (items.length > 1) {\n // If we already have multiple items, each containing part of our data\n inputArray = items.map(item => item.json || item);\n} else {\n throw new Error('Input structure not recognized. Please check your data format.');\n}\n// Create a single array to hold all URLs\nconst urlArray = [];\n// Process each item in the input array\nfor (const item of inputArray) {\n // Get the data object\n const data = item;\n \n // Check if the item has an output array\n if (data.output && Array.isArray(data.output)) {\n // For each URL in the output array, add to our URL array\n for (const url of data.output) {\n // Add URL along with metadata including the web content link\n urlArray.push({\n url: url,\n sourceId: data.id,\n createdAt: data.createdAt,\n webContentLink: data.webContentLink || null // Add the web content link\n });\n }\n }\n}\n// Return a single item containing the array of all URLs\nreturn [{\n json: {\n urls: urlArray\n }\n}];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2060,
380
],
"id": "8760be1a-328d-4b98-bb9d-a4d8ef5da96f",
"name": "Split Out Parts"
},
{
"parameters": {
"operation": "share",
"fileId": {
"__rl": true,
"value": "={{ $json.id }}",
"mode": "id"
},
"permissionsUi": {
"permissionsValues": {
"role": "reader",
"type": "anyone",
"allowFileDiscovery": true
}
},
"options": {}
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
2580,
40
],
"id": "fc3c88ad-c193-4ac8-a1ed-91871e82b1ec",
"name": "Share File",
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"workflowInputs": {
"values": [
{
"name": "videoTopic"
},
{
"name": "chatID"
}
]
}
},
"type": "n8n-nodes-base.executeWorkflowTrigger",
"typeVersion": 1.1,
"position": [
460,
100
],
"id": "8abd1438-747b-4a26-8a85-998be7dd9f9f",
"name": "When Executed by Another Workflow"
},
{
"parameters": {
"model": "openai/gpt-4.1-mini",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"typeVersion": 1,
"position": [
640,
280
],
"id": "d4309db3-4b01-4b46-a5c6-044b2c890f8b",
"name": "GPT 4.1 mini",
"credentials": {
"openRouterApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsonSchemaExample": "{\n \"Part 1\": \"Prompt for part 1\",\n \"Part 2\": \"Prompt for part 2\",\n \"Part 3\": \"Prompt for part 3\",\n \"Part 4\": \"Prompt for part 4\"\n}\n"
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.2,
"position": [
840,
280
],
"id": "a92a2ad5-72ae-4e12-b85c-845188c1f3ed",
"name": "4 Parts"
},
{
"parameters": {
"promptType": "define",
"text": "=Video Topic: {{ $json.videoTopic }}",
"hasOutputParser": true,
"options": {
"systemMessage": "=# Overview\nYou are a Master Visual Story Structuring Agent.\nYour task is to take a given short video topic and split it into four parts that together form a cohesive, vivid story, optimized for text-to-image generation.\n\n## Instructions:\n- You must create exactly four parts: Part 1, Part 2, Part 3, and Part 4.\n- Describe the subject of the story in the EXACT same way in all four parts. Each part should be consistent.\n- Each part should build upon the previous, creating a complete visual story by the end.\n- Every part must be written as a high-quality, richly detailed image prompt, following professional standards for models like Flux or similar.\n- Describe characters, settings, outfits, actions, and background elements vividly and precisely.\n- Use rich, imaginative language to maximize visual fidelity.\n- Avoid generic terms \u2014 always opt for specific and colorful descriptions.\n- No quotation marks (\"\") or newlines (\\n) should be included in the output.\n- Keep the description natural and seamless so it can be fed directly into a text-to-image model.\n\n## Key Elements to Include in Each Part:\n- Clear description of main subjects (appearance, outfits, facial expressions, poses)\n- Accessories or objects that add to the scene\n- A vivid background that matches the theme and enhances the overall story\n- Consistency and natural progression from part to part\n\n## Output Format:\nReturn your response structured into four fields:\n- Part 1: [Vivid image prompt for Part 1]\n- Part 2: [Vivid image prompt for Part 2]\n- Part 3: [Vivid image prompt for Part 3]\n- Part 4: [Vivid image prompt for Part 4]\n\nOnly output the fields listed above.\nMake sure the story across all four parts feels cohesive, visually rich, and cinematic."
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.9,
"position": [
640,
100
],
"id": "c595122c-6cc4-4fe8-bb74-7f70c3828d82",
"name": "Image Prompt Agent"
},
{
"parameters": {
"fieldToSplitOut": "output",
"options": {}
},
"type": "n8n-nodes-base.splitOut",
"typeVersion": 1,
"position": [
960,
100
],
"id": "83e5547e-7aa2-4e11-9098-e0eb36b1ea22",
"name": "Split Out"
},
{
"parameters": {
"model": "openai/gpt-4.1-mini",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"typeVersion": 1,
"position": [
2080,
140
],
"id": "f248b1cd-9bb0-4d8b-8f95-2e416dec8f05",
"name": "GPT-4.1 mini",
"credentials": {
"openRouterApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "sendVideo",
"chatId": "={{ $('When Executed by Another Workflow').first().json.chatID }}",
"binaryData": true,
"additionalFields": {}
},
"type": "n8n-nodes-base.telegram",
"typeVersion": 1.2,
"position": [
2040,
600
],
"id": "93a861f3-2818-4572-a770-8713630417ae",
"name": "Send Video",
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"modelId": {
"__rl": true,
"value": "gpt-4.1-mini",
"mode": "list",
"cachedResultName": "GPT-4.1-MINI"
},
"messages": {
"values": [
{
"content": "=Video: {{ $('When Executed by Another Workflow').first().json.videoTopic }}"
},
{
"content": "Create a 3-4 word title for the given video",
"role": "system"
}
]
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.openAi",
"typeVersion": 1.8,
"position": [
2240,
600
],
"id": "11c27ec1-cc49-4f87-b599-d07c5c634473",
"name": "Title",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "append",
"documentId": {
"__rl": true,
"value": "1JqOTd49heNBdmrf5hSwxI66X724tspAmSjzWoA6-EU0",
"mode": "list",
"cachedResultName": "Marketing Team Log",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1JqOTd49heNBdmrf5hSwxI66X724tspAmSjzWoA6-EU0/edit?usp=drivesdk"
},
"sheetName": {
"__rl": true,
"value": "gid=0",
"mode": "list",
"cachedResultName": "Sheet1",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1JqOTd49heNBdmrf5hSwxI66X724tspAmSjzWoA6-EU0/edit#gid=0"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"Title": "={{ $json.message.content }}",
"Request": "={{ $('When Executed by Another Workflow').first().json.videoTopic }}",
"Link": "={{ $('Download Video').item.json.url }}",
"Type": "Video"
},
"matchingColumns": [],
"schema": [
{
"id": "Title",
"displayName": "Title",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Type",
"displayName": "Type",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "Request",
"displayName": "Request",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "ID",
"displayName": "ID",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Link",
"displayName": "Link",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Post",
"displayName": "Post",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.5,
"position": [
2600,
600
],
"id": "6b249042-b98f-4859-8bc4-6b4f5ade3c04",
"name": "Log Video",
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"amount": 90
},
"type": "n8n-nodes-base.wait",
"typeVersion": 1.1,
"position": [
1400,
40
],
"id": "35066842-b5fb-4e55-873f-1826be419066",
"name": "90 Seconds"
},
{
"parameters": {
"amount": 90
},
"type": "n8n-nodes-base.wait",
"typeVersion": 1.1,
"position": [
1400,
320
],
"id": "f3cc877c-0d1f-4317-806b-91633e85d143",
"name": "90_Seconds"
}
],
"connections": {
"Generate Image": {
"main": [
[
{
"node": "90 Seconds",
"type": "main",
"index": 0
}
]
]
},
"Get Images": {
"main": [
[
{
"node": "Generate Videos",
"type": "main",
"index": 0
}
]
]
},
"Sound Agent": {
"main": [
[
{
"node": "Generate Audio",
"type": "main",
"index": 0
}
]
]
},
"Generate Audio": {
"main": [
[
{
"node": "Upload to Drive",
"type": "main",
"index": 0
}
]
]
},
"Upload to Drive": {
"main": [
[
{
"node": "Share File",
"type": "main",
"index": 0
},
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Merge": {
"main": [
[
{
"node": "Split Out Parts",
"type": "main",
"index": 0
}
]
]
},
"Render Video": {
"main": [
[
{
"node": "25 Seconds",
"type": "main",
"index": 0
}
]
]
},
"25 Seconds": {
"main": [
[
{
"node": "Download Video",
"type": "main",
"index": 0
}
]
]
},
"Download Video": {
"main": [
[
{
"node": "Send Video",
"type": "main",
"index": 0
}
]
]
},
"Get Videos": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
},
{
"node": "Sound Agent",
"type": "main",
"index": 0
}
]
]
},
"Generate Videos": {
"main": [
[
{
"node": "90_Seconds",
"type": "main",
"index": 0
}
]
]
},
"Split Out Parts": {
"main": [
[
{
"node": "Render Video",
"type": "main",
"index": 0
}
]
]
},
"Share File": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 2
}
]
]
},
"When Executed by Another Workflow": {
"main": [
[
{
"node": "Image Prompt Agent",
"type": "main",
"index": 0
}
]
]
},
"GPT 4.1 mini": {
"ai_languageModel": [
[
{
"node": "Image Prompt Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"4 Parts": {
"ai_outputParser": [
[
{
"node": "Image Prompt Agent",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Image Prompt Agent": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "Generate Image",
"type": "main",
"index": 0
}
]
]
},
"GPT-4.1 mini": {
"ai_languageModel": [
[
{
"node": "Sound Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Send Video": {
"main": [
[
{
"node": "Title",
"type": "main",
"index": 0
}
]
]
},
"Title": {
"main": [
[
{
"node": "Log Video",
"type": "main",
"index": 0
}
]
]
},
"90 Seconds": {
"main": [
[
{
"node": "Get Images",
"type": "main",
"index": 0
}
]
]
},
"90_Seconds": {
"main": [
[
{
"node": "Get Videos",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "2e4fb4c0-d1b3-49ef-beec-61b51ec3a65d",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "7HwL0nnjhjdXJ3FY",
"tags": []
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googleDriveOAuth2ApigoogleSheetsOAuth2ApihttpHeaderAuthopenAiApiopenRouterApitelegramApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
How this works
Create engaging faceless videos effortlessly without appearing on camera, ideal for content creators, marketers, or educators who want to produce professional visuals using AI-generated assets. This workflow automates the process by generating images via httpRequest, creating custom audio through an AI agent, and rendering the final video, saving hours of manual editing. The key step involves merging images and audio before uploading the completed video to Google Drive for easy sharing.
Use this workflow when you need quick, scalable video production for social media or tutorials, especially with event-driven triggers for batch processing. Avoid it for highly customised videos requiring live footage or complex animations, as it focuses on AI-driven simplicity. Common variations include swapping OpenRouter for other AI models or adding text overlays for branded content.
About this workflow
Faceless Video. Uses httpRequest, agent, googleDrive, stickyNote. Event-driven trigger; 29 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
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