Automatisation n8n : gestion des vidéos et commentaires sur Discord
Ce workflow n8n est conçu pour automatiser la gestion des vidéos et des commentaires sur Discord, permettant ainsi aux utilisateurs de gérer efficacement leur contenu vidéo. Dans un contexte où la création de contenu est essentielle pour l'engagement des communautés en ligne, ce workflow s'adresse aux créateurs de contenu, aux gestionnaires de communauté et aux équipes marketing qui souhaitent optimiser leur interaction sur Discord. Le premier déclencheur, 'When chat message received', initie le processus lorsque des messages sont reçus dans un canal spécifique. Ensuite, plusieurs noeuds, tels que 'Get Videos by Channel' et 'Get Comments', sont utilisés pour récupérer des informations pertinentes sur les vidéos et les commentaires associés. Ces données sont ensuite traitées à l'aide de l'outil OpenAI pour générer des réponses intelligentes et pertinentes. Les noeuds 'Switch' et 'Edit Fields' permettent de gérer les différentes conditions et de structurer les données avant de les renvoyer à l'utilisateur. En intégrant des outils comme Postgres Chat Memory, ce workflow assure une gestion fluide des sessions de chat, améliorant ainsi l'expérience utilisateur. En adoptant cette automatisation n8n, les entreprises peuvent réduire le temps consacré à la gestion manuelle des interactions, tout en augmentant l'engagement et la satisfaction des utilisateurs.
Workflow n8n Discord, gestion de contenu, vidéos : vue d'ensemble
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Workflow n8n Discord, gestion de contenu, vidéos : détail des nœuds
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"meta": {
"instanceId": "6a2a7715680b8313f7cb4676321c5baa46680adfb913072f089f2766f42e43bd"
},
"nodes": [
{
"id": "f4b3833b-cf25-4bbc-927c-080586c5713c",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
700,
760
],
"parameters": {
"color": 7,
"width": 330.5152611046425,
"height": 239.5888196628349,
"content": "### ... or watch set up video [13 min]\n[](https://youtu.be/6RmLZS8Yl4E)\n"
},
"typeVersion": 1
},
{
"id": "64d96c53-b3e2-4aea-9a29-9b9e5c729f4f",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
240
],
"parameters": {
"color": 7,
"width": 636.2128494576581,
"height": 497.1532689930921,
"content": "\n## AI Agent To Chat With Youtube\n**Made by [Mark Shcherbakov](https://www.linkedin.com/in/marklowcoding/) from community [5minAI](https://www.skool.com/5minai)**\n\nNavigating the content generation and optimization process can be complex, especially without significant audience insight. This workflow automates insights extraction from YouTube videos and comments, empowering users to create more engaging and relevant content effectively.\n\nThe workflow integrates various APIs to gather insights from YouTube videos, enabling automated commentary analysis, video transcription, and thumbnail evaluation. The main functionalities include:\n- Extracting user preferences from comments.\n- Transcribing video content for enhanced understanding.\n- Analyzing thumbnails via AI for maximum viewer engagement insights.\n\n"
},
"typeVersion": 1
},
{
"id": "57d2ede9-1bf9-4449-9dc9-af1ccee763b6",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
760
],
"parameters": {
"color": 7,
"width": 280.2462120317618,
"height": 545.9087885077763,
"content": "### Set up steps\n\n1. **API Setup**:\n - Create a [Google Cloud](https://console.cloud.google.com/apis/dashboard) project and enable the YouTube Data API.\n - Generate an API key for [Apify](https://www.apify.com?fpr=ujogj).\n - Generate API key for [OpenAI](https://platform.openai.com)\n - Create all credentials in N8N - OpenAI, Apify, Google Cloud.\n\n2. **YouTube Creator and Video Selection**:\n - Start by defining a request to identify top creators based on their video views.\n - Capture the YouTube video IDs for further analysis of comments and other video metrics.\n\n3. **Comment Analysis**:\n - Gather comments associated with the selected videos and analyze them for user insights.\n - Implement pagination to handle the maximum comment retrieval limits in API requests.\n\n4. **Video Transcription**:\n - Request transcriptions for videos of interest, ensuring to manage potential costs associated with longer video processing.\n - Utilize the insights from transcriptions to formulate content plans.\n\n5. **Thumbnail Analysis**:\n - Evaluate your video thumbnails by submitting the URL through the OpenAI API to gain insights into their effectiveness.\n\n6. **Data Management**:\n - Incorporate a database agent to organize video data and metrics, allowing efficient record management and future content planning."
},
"typeVersion": 1
},
{
"id": "ca0fd549-88a7-44fd-ab81-7fd5ca140dae",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1540,
820
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "zJhr5piyEwVnWtaI",
"name": "OpenAi club"
}
},
"typeVersion": 1
},
{
"id": "7f2cf209-2e9d-4d6a-bc9e-d1bfd6df7266",
"name": "get_channel_details",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
1900,
820
],
"parameters": {
"name": "get_channel_details",
"fields": {
"values": [
{
"name": "command",
"stringValue": "=get_channel_details"
}
]
},
"schemaType": "manual",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "FgknOUpOBkpY85NX",
"cachedResultName": "Youtube parser - tools"
},
"description": "Get channel_id, title and description by handle/username.\nChannel_id is required to find videos and details about this channel.\nIf Youtube link to channel provided - parse handle from there or return channel_id. (e.g. https://www.youtube.com/@example_handle - example_handle)\n\n\nExample Input:\nexample_handle\n\nExample Output:\nid:UCOgz_YflAsYnGbdvzXuKNCA\ntitle:Daniel Simmons\ndescription:Digital Diary 🤎\\n\\n\\nWeekly videos around fashion...",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"handle\": {\n \"type\": \"string\",\n \"description\": \"Handle/username of channel\"\n }},\n \"required\": [\"handle\"]\n}",
"specifyInputSchema": true
},
"typeVersion": 1.2
},
{
"id": "c02f5c19-6e50-4a06-95b9-eceb3eec1012",
"name": "get_video_description",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
2020,
820
],
"parameters": {
"name": "get_video_description",
"fields": {
"values": [
{
"name": "command",
"stringValue": "video_details"
}
]
},
"schemaType": "manual",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "FgknOUpOBkpY85NX",
"cachedResultName": "Youtube parser - tools"
},
"description": "Fetch video details - the full description, title, and publish date of a video using its video_id.\n\nExample input:\nvideo_id:dQw4w9WgXcQ\n\nExample Output:\ntitle:Never Gonna Give You Up\ndescription: \"The official video for “Never Gonna Give You Up” by Rick Astley.\nduration:4 min\nviewCount:154\nlikeCount:6\nthumbnails: urls",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"video_id\": {\n \"type\": \"string\",\n \"description\": \"The ID of the video to fetch details for\"\n }\n },\n \"required\": [\"video_id\"]\n}",
"specifyInputSchema": true
},
"typeVersion": 1.2
},
{
"id": "2d61160b-3a65-4766-ace6-947a7c5de6e5",
"name": "get_list_of_videos",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
2140,
820
],
"parameters": {
"name": "get_list_of_videos",
"fields": {
"values": [
{
"name": "command",
"stringValue": "videos"
}
]
},
"schemaType": "manual",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "FgknOUpOBkpY85NX",
"cachedResultName": "Youtube parser - tools"
},
"description": "Retrieve a list of videos from a channel using channel_id. Supports sorting by date, relevance, or view count.\n\nExample Input:\nchannel_id\": \"UCxxxxxxxxxxxxxxxx\"\nnumber_of_videos\": 5\norder: \"date\"\npublishedAfter: \"timestamp\"\n\nExample Output:\nvideo_id:abc123\ntitle:Latest Video\nshort cut description:Latest Video\npublished_at:2023-12-05T10:00:00Z",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"channel_id\": {\n \"type\": \"string\",\n \"description\": \"The ID of the channel to fetch videos from\"\n },\n \"number_of_videos\": {\n \"type\": \"integer\",\n \"description\": \"The maximum number of videos to retrieve (max 50)\"\n },\n \"order\": {\n \"type\": \"string\",\n \"enum\": [\"date\", \"relevance\", \"viewCount\"],\n \"description\": \"Order in which to fetch videos\"\n },\n \"publishedAfter\": {\n \"type\": \"string\",\n \"description\": \"Timestamp for filtering like 2023-11-03T15:28:05Z.\"\n }\n },\n \"required\": [\"channel_id\", \"number_of_videos\", \"order\"]\n}",
"specifyInputSchema": true
},
"typeVersion": 1.2
},
{
"id": "c5aa2f7c-7748-4f88-abb6-fd274ad1295a",
"name": "get_list_of_comments",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
2260,
820
],
"parameters": {
"name": "get_list_of_comments",
"fields": {
"values": [
{
"name": "command",
"stringValue": "comments"
}
]
},
"schemaType": "manual",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "FgknOUpOBkpY85NX",
"cachedResultName": "Youtube parser - tools"
},
"description": "Retrieve a list of comments from a video using video_id.\n\nInput:\n \"video_id\": \"dQw4w9WgXcQ\"\n\nOutput:\n \"author\": \"John Doe\",\n \"comment\": \"This is an amazing video!\",\n \"published_at\": \"2023-12-04T12:00:00Z\"",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"video_id\": {\n \"type\": \"string\",\n \"description\": \"The ID of the video to fetch comments from\"\n }\n },\n \"required\": [\"video_id\"]\n}",
"specifyInputSchema": true
},
"typeVersion": 1.2
},
{
"id": "c68cad77-1d71-45a3-b94b-8f7c701f56fb",
"name": "search",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
2380,
820
],
"parameters": {
"name": "search",
"fields": {
"values": [
{
"name": "command",
"stringValue": "search"
}
]
},
"schemaType": "manual",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "FgknOUpOBkpY85NX",
"cachedResultName": "Youtube parser - tools"
},
"description": "Search for videos or channels using a query. Supports filtering by type (video or channel) and sorting (date, viewCount, relevance). Use | for OR and - to exclude terms in the query.\n\nInput:\ntype: video or channel\nquery: search query\nsorting: date, viewCount, relevance\npublishedAfter: timestamp\n\nOutput:\n- id, title, short cut description, and published_at.",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"type\": {\n \"type\": \"string\",\n \"enum\": [\"video\", \"channel\"],\n \"description\": \"Type of results to retrieve: video or channel\"\n },\n \"query\": {\n \"type\": \"string\",\n \"description\": \"Search query. Supports | for OR and - to exclude terms\"\n },\n \"sorting\": {\n \"type\": \"string\",\n \"enum\": [\"date\", \"viewCount\", \"relevance\"],\n \"description\": \"Sorting criteria for search results\"\n },\n \"publishedAfter\": {\n \"type\": \"string\",\n \"description\": \"Timestamp for filtering like 2023-11-03T15:28:05Z\"\n }\n },\n \"required\": [\"type\", \"query\", \"sorting\"]\n}",
"specifyInputSchema": true
},
"typeVersion": 1.2
},
{
"id": "c87d5392-8a5c-4999-9e58-89a5e0700c40",
"name": "analyze_thumbnail",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
2500,
820
],
"parameters": {
"name": "analyze_thumbnail",
"fields": {
"values": [
{
"name": "command",
"stringValue": "analyze_thumbnail"
}
]
},
"schemaType": "manual",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "FgknOUpOBkpY85NX",
"cachedResultName": "Youtube parser - tools"
},
"description": "Analyze a thumbnail image based on a given prompt. The prompt can be customized for specific analysis needs, such as design critique, color scheme evaluation, or content assessment.\nUse link of maxRes thumbnail. \n\nInput:\n- url: URL of the thumbnail image.\n- prompt: Customizable instruction for the analysis.\n\nOutput:\n- Results of the analysis based on the given prompt.",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"url\": {\n \"type\": \"string\",\n \"description\": \"URL of the thumbnail image to analyze\"\n },\n \"prompt\": {\n \"type\": \"string\",\n \"description\": \"Customizable instruction to guide the image analysis\"\n }\n },\n \"required\": [\"url\", \"prompt\"]\n}",
"specifyInputSchema": true
},
"typeVersion": 1.2
},
{
"id": "1be2fa35-9091-4db8-a8eb-50f822d618d3",
"name": "video_transcription",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
2620,
820
],
"parameters": {
"name": "video_transcription",
"fields": {
"values": [
{
"name": "command",
"stringValue": "video_transcription"
}
]
},
"schemaType": "manual",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "FgknOUpOBkpY85NX",
"cachedResultName": "Youtube parser - tools"
},
"description": "Transcribe a video and retrieve its text transcription. Useful for analyzing video content or repurposing it for other formats.\n\nInput:\n- video_url: URL of the video to transcribe.\n\nOutput:\n- The text transcription of the video.",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"video_url\": {\n \"type\": \"string\",\n \"description\": \"URL of the video to transcribe\"\n }\n },\n \"required\": [\"video_url\"]\n}",
"specifyInputSchema": true
},
"typeVersion": 1.2
},
{
"id": "fbfcd82f-e247-4a21-be12-339df7afe681",
"name": "Postgres Chat Memory",
"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
"position": [
1700,
820
],
"parameters": {
"sessionKey": "={{ $('When chat message received').item.json.sessionId }}",
"sessionIdType": "customKey"
},
"credentials": {
"postgres": {
"id": "AO9cER6p8uX7V07T",
"name": "Postgres 5minai"
}
},
"typeVersion": 1.3
},
{
"id": "6a4bbad9-27ab-448b-9222-2c8843fe241a",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1760,
560
],
"parameters": {
"text": "={{ $('When chat message received').item.json.chatInput }}",
"agent": "openAiFunctionsAgent",
"options": {
"systemMessage": "You are Youtube assistant. \nYou need to process user's requests and run relevant tools for that. \n\nPlan and execute in right order runs of tools to get data for user's request.\n\nIMPORTANT Search query and list of videos for channel tools returns all videos including shorts - use Get Video description tool to identify shorts (less than minute) and filter them out if needed.\n\nFeel free to ask questions before do actions - especially if you noticed some inconcistency in user requests that might be error/misspelling. "
},
"promptType": "define"
},
"typeVersion": 1.6
},
{
"id": "739cc12a-27d1-48e9-b124-7f83fb372514",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
1460,
600
],
"webhookId": "6e95bc27-99a6-417c-8bf7-2831d7f7a4be",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "613af9f2-77fa-42c4-86d3-87e20f2c0c89",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
1380,
500
],
"parameters": {
"width": 1430.34590072234,
"height": 588.1344471094899,
"content": "## Scenario 1: AI agent"
},
"typeVersion": 1
},
{
"id": "54116346-bc73-4a6a-8bca-f2a6e6699374",
"name": "Get Comments",
"type": "n8n-nodes-base.httpRequest",
"position": [
2064,
1598
],
"parameters": {
"url": "=https://www.googleapis.com/youtube/v3/commentThreads",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "part",
"value": "id,snippet,replies"
},
{
"name": "videoId",
"value": "={{ $('Execute Workflow Trigger').item.json.query.video_id }}"
},
{
"name": "maxResults",
"value": "100"
}
]
}
},
"credentials": {
"httpQueryAuth": {
"id": "1DXeuNaLSixqGPaU",
"name": "Query Auth account Youtube"
}
},
"typeVersion": 4.2
},
{
"id": "faabf71a-69f2-4113-802e-124a09fa9a0a",
"name": "Execute Workflow Trigger",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
1444,
1598
],
"parameters": {},
"typeVersion": 1
},
{
"id": "4b3ec3aa-7c69-4a72-a989-02f97acdf612",
"name": "Get Channel Details",
"type": "n8n-nodes-base.httpRequest",
"position": [
2064,
1278
],
"parameters": {
"url": "=https://www.googleapis.com/youtube/v3/channels",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "part",
"value": "snippet"
},
{
"name": "forHandle",
"value": "={{ $('Execute Workflow Trigger').item.json.query.handle }}"
}
]
}
},
"credentials": {
"httpQueryAuth": {
"id": "1DXeuNaLSixqGPaU",
"name": "Query Auth account Youtube"
}
},
"typeVersion": 4.2
},
{
"id": "ed8dec73-8c50-4eb9-8efe-68ee72c4d5e6",
"name": "Get Video Description",
"type": "n8n-nodes-base.httpRequest",
"position": [
2064,
1438
],
"parameters": {
"url": "=https://www.googleapis.com/youtube/v3/videos",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "part",
"value": "snippet,contentDetails,statistics"
},
{
"name": "id",
"value": "={{ $('Execute Workflow Trigger').item.json.query.video_id }}"
}
]
}
},
"credentials": {
"httpQueryAuth": {
"id": "1DXeuNaLSixqGPaU",
"name": "Query Auth account Youtube"
}
},
"typeVersion": 4.2
},
{
"id": "c1ff3837-8d7e-49ad-a333-c177833fcd05",
"name": "Edit Fields",
"type": "n8n-nodes-base.set",
"position": [
2224,
1598
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "469d89ba-23fc-482a-b4ae-ce5d3bc13579",
"name": "response",
"type": "string",
"value": "={{ JSON.stringify(` Comments: ${$json.items.map(item => { const topLevelComment = `${item.snippet.topLevelComment.snippet.authorDisplayName}: ${item.snippet.topLevelComment.snippet.textOriginal}`; const replies = item.replies?.comments.map(reply => `${reply.snippet.authorDisplayName}: ${reply.snippet.textOriginal}` ).join('\\n') || ''; return [topLevelComment, replies].filter(Boolean).join('\\n'); }).join('\\n\\n')} `) }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5f0c44fe-2523-4170-a27d-0ccd1bef24a7",
"name": "Run Query",
"type": "n8n-nodes-base.httpRequest",
"position": [
2064,
1758
],
"parameters": {
"url": "=https://www.googleapis.com/youtube/v3/search",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "part",
"value": "snippet"
},
{
"name": "q",
"value": "={{ $('Execute Workflow Trigger').item.json.query.query }}"
},
{
"name": "order",
"value": "={{ $('Execute Workflow Trigger').item.json.query.order }}"
},
{
"name": "type",
"value": "={{ $('Execute Workflow Trigger').item.json.query.type }}"
},
{
"name": "maxResults",
"value": "={{ $('Execute Workflow Trigger').item.json.query.number_of_videos }}"
},
{
"name": "publishedAfter",
"value": "={{ $('Execute Workflow Trigger').item.json.query.publishedAfter }}"
}
]
}
},
"credentials": {
"httpQueryAuth": {
"id": "1DXeuNaLSixqGPaU",
"name": "Query Auth account Youtube"
}
},
"typeVersion": 4.2
},
{
"id": "3e192718-6710-4143-ac6e-15df79ee5363",
"name": "Get Videos by Channel",
"type": "n8n-nodes-base.httpRequest",
"position": [
2064,
1918
],
"parameters": {
"url": "=https://www.googleapis.com/youtube/v3/search",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "part",
"value": "snippet"
},
{
"name": "channelId",
"value": "={{ $('Execute Workflow Trigger').item.json.query.channel_id }}"
},
{
"name": "order",
"value": "={{ $('Execute Workflow Trigger').item.json.query.order }}"
},
{
"name": "maxResults",
"value": "={{ $('Execute Workflow Trigger').item.json.query.number_of_videos }}"
},
{
"name": "type",
"value": "video"
},
{
"name": "publishedAfter",
"value": "={{ $('Execute Workflow Trigger').item.json.query.publishedAfter }}"
}
]
}
},
"credentials": {
"httpQueryAuth": {
"id": "1DXeuNaLSixqGPaU",
"name": "Query Auth account Youtube"
}
},
"typeVersion": 4.2
},
{
"id": "8bcb50a4-0cd1-4311-ac6a-2ee8653cfb71",
"name": "Response",
"type": "n8n-nodes-base.set",
"position": [
2564,
1598
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "cfdbe2f5-921e-496d-87bd-9c57fdc22a7a",
"name": "response",
"type": "object",
"value": "={{$json}}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "7f5a36d3-6710-4e69-8459-7c8c748ee7d9",
"name": "Switch",
"type": "n8n-nodes-base.switch",
"position": [
1624,
1578
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "get_channel_details",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "get_channel_details"
}
]
},
"renameOutput": true
},
{
"outputKey": "video_details",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "26a3ffe8-c8a6-4564-8d18-5494a8059372",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "video_details"
}
]
},
"renameOutput": true
},
{
"outputKey": "comments",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "0f51cc26-2e42-42e1-a5c2-cb1d2e384962",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "comments"
}
]
},
"renameOutput": true
},
{
"outputKey": "search",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "51031140-5ceb-48aa-9f33-d314131a9653",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "search"
}
]
},
"renameOutput": true
},
{
"outputKey": "videos",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "f160bf0a-423f-448d-ab80-50a0b6a177ca",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "videos"
}
]
},
"renameOutput": true
},
{
"outputKey": "analyze_thumbnail",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "29542ac4-7b9d-413f-aabb-a1cdabed2fa7",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "analyze_thumbnail"
}
]
},
"renameOutput": true
},
{
"outputKey": "video_transcription",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "35fc39b8-6cf1-4ea6-9609-4a195c5526f8",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "video_transcription"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "df432d53-33bf-4e91-9ead-7f4b36bd788a",
"name": "Get Video Transcription",
"type": "n8n-nodes-base.httpRequest",
"position": [
2064,
2238
],
"parameters": {
"url": "=https://api.apify.com/v2/acts/dB9f4B02ocpTICIEY/run-sync-get-dataset-items",
"method": "POST",
"options": {},
"jsonBody": "={\n \"startUrls\": [\n \"{{ $('Execute Workflow Trigger').item.json.query.video_url }}\"\n ]\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth"
},
"credentials": {
"httpQueryAuth": {
"id": "XDavOaI9qH5Zi3QC",
"name": "Apify"
}
},
"typeVersion": 4.2
},
{
"id": "8079e5c9-4a52-45ce-ac41-7fc707177a5a",
"name": "OpenAI",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
2064,
2078
],
"parameters": {
"text": "={{ $('Execute Workflow Trigger').item.json.query.prompt }}",
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o",
"cachedResultName": "GPT-4O"
},
"options": {},
"resource": "image",
"imageUrls": "={{ $('Execute Workflow Trigger').item.json.query.url }}",
"operation": "analyze"
},
"credentials": {
"openAiApi": {
"id": "SphXAX7rlwRLkiox",
"name": "Test club key"
}
},
"typeVersion": 1.7
},
{
"id": "7847e82a-fe82-498c-8c14-4c1c718d632c",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1380,
1140
],
"parameters": {
"width": 1427.3810326521016,
"height": 1313.2689194736308,
"content": "## Scenario 2: Agent tools"
},
"typeVersion": 1
},
{
"id": "3a0fbbb0-4c0e-41f1-abb3-c87e955ad1b3",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1540,
960
],
"parameters": {
"color": 4,
"width": 266.7375650720483,
"height": 80,
"content": "### Replace credentials"
},
"typeVersion": 1
},
{
"id": "363eaca0-aaa5-4551-845f-528f19bba57a",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
2004,
1178
],
"parameters": {
"color": 4,
"width": 266.7375650720483,
"height": 80,
"content": "### Replace credentials in all nodes - Apify, OpenAI, Google"
},
"typeVersion": 1
}
],
"pinData": {
"Execute Workflow Trigger": [
{
"query": {
"type": "video",
"query": "Web scraping data with n8n and Puppeteer",
"sorting": "relevance"
},
"command": "search"
}
]
},
"connections": {
"OpenAI": {
"main": [
[
{
"node": "Response",
"type": "main",
"index": 0
}
]
]
},
"Switch": {
"main": [
[
{
"node": "Get Channel Details",
"type": "main",
"index": 0
}
],
[
{
"node": "Get Video Description",
"type": "main",
"index": 0
}
],
[
{
"node": "Get Comments",
"type": "main",
"index": 0
}
],
[
{
"node": "Run Query",
"type": "main",
"index": 0
}
],
[
{
"node": "Get Videos by Channel",
"type": "main",
"index": 0
}
],
[
{
"node": "OpenAI",
"type": "main",
"index": 0
}
],
[
{
"node": "Get Video Transcription",
"type": "main",
"index": 0
}
]
]
},
"search": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Run Query": {
"main": [
[
{
"node": "Response",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Response",
"type": "main",
"index": 0
}
]
]
},
"Get Comments": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"analyze_thumbnail": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"get_list_of_videos": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Get Channel Details": {
"main": [
[
{
"node": "Response",
"type": "main",
"index": 0
}
]
]
},
"get_channel_details": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"video_transcription": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Postgres Chat Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"get_list_of_comments": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Get Video Description": {
"main": [
[
{
"node": "Response",
"type": "main",
"index": 0
}
]
]
},
"Get Videos by Channel": {
"main": [
[
{
"node": "Response",
"type": "main",
"index": 0
}
]
]
},
"get_video_description": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Get Video Transcription": {
"main": [
[
{
"node": "Response",
"type": "main",
"index": 0
}
]
]
},
"Execute Workflow Trigger": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
}
}
}Workflow n8n Discord, gestion de contenu, vidéos : pour qui est ce workflow ?
Ce workflow s'adresse principalement aux créateurs de contenu, aux gestionnaires de communauté et aux équipes marketing qui utilisent Discord pour interagir avec leur audience. Il est idéal pour les entreprises de taille petite à moyenne souhaitant automatiser leurs processus de gestion de contenu sans nécessiter de compétences techniques avancées.
Workflow n8n Discord, gestion de contenu, vidéos : problème résolu
Ce workflow résout le problème de la gestion manuelle des vidéos et des commentaires sur Discord, qui peut être chronophage et source de frustration. En automatisant ces tâches, les utilisateurs peuvent se concentrer sur la création de contenu et l'engagement de leur communauté. Cela réduit également le risque d'erreurs humaines et garantit que les interactions sont traitées rapidement et efficacement, améliorant ainsi la satisfaction des utilisateurs.
Workflow n8n Discord, gestion de contenu, vidéos : étapes du workflow
Étape 1 : Le workflow est déclenché par un message reçu dans un canal Discord.
- Étape 1 : Les vidéos du canal sont récupérées grâce au noeud 'Get Videos by Channel'.
- Étape 2 : Les commentaires associés sont extraits via le noeud 'Get Comments'.
- Étape 3 : Les données sont analysées et traitées à l'aide de l'outil OpenAI pour générer des réponses.
- Étape 4 : Les résultats sont structurés et renvoyés à l'utilisateur, permettant une interaction fluide et efficace.
Workflow n8n Discord, gestion de contenu, vidéos : guide de personnalisation
Pour personnaliser ce workflow, vous pouvez modifier le déclencheur en ajustant les paramètres du noeud 'When chat message received' pour cibler des canaux spécifiques. Les noeuds 'Get Videos by Channel' et 'Get Comments' peuvent être configurés pour interroger différentes sources de données. Vous pouvez également adapter les paramètres d'OpenAI pour affiner les réponses générées. Enfin, assurez-vous de sécuriser le flux en configurant les authentifications nécessaires pour les requêtes HTTP.