Automatisation de la création de contenu LinkedIn basée sur l'interface utilisateur avec GPT-4 et DALL-E
Ceci est unContent Creation, Multimodal AIworkflow d'automatisation du domainecontenant 23 nœuds.Utilise principalement des nœuds comme Webhook, HttpRequest, Agent, RespondToWebhook, ChainLlm. Générateur de contenu LinkedIn basé sur l'IA (OpenAI GPT-4 et DALL-E)
- •Point de terminaison HTTP Webhook (généré automatiquement par n8n)
- •Peut nécessiter les informations d'identification d'authentification de l'API cible
- •Clé API OpenAI
Nœuds utilisés (23)
Catégorie
{
"id": "Fd1PvKuULAbZsQuf",
"meta": {
"instanceId": "1dcd9ef6d607f38b819b26a2c4dbd06dac0f27a5f67d658e0aebc81336da332e",
"templateId": "4968",
"templateCredsSetupCompleted": true
},
"name": "Automated LinkedIn Content Creation with GPT-4 and DALL-E on top of a UI",
"tags": [
{
"id": "d6uTHkmw5JpIUCo4",
"name": "weweb-version",
"createdAt": "2025-07-10T11:32:42.142Z",
"updatedAt": "2025-07-10T11:32:42.142Z"
}
],
"nodes": [
{
"id": "f6716480-5a8c-4f84-9e91-b672b388d4bc",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
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"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "0h4i5YzdkNENbxn7",
"name": "OpenAi variable"
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},
"typeVersion": 1.2
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{
"id": "06f17fd9-21cf-4540-a3c3-44f0f9c87e2a",
"name": "Analyseur de sortie structurée",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
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],
"parameters": {
"jsonSchemaExample": "[{\n \"title\": \"AI as Your First Content Hire: Why Founders Shouldn't Wait to Outsource Creation\",\n \"rationale\": \"Most solopreneurs delay content scaling because they think hiring a ghostwriter is the next step — but AI can handle 80% with proper systems. This shifts content from a creative bottleneck to a scalable growth lever.\",\n \"hook\": \"Ghostwriters are outdated. Train GPT once, and it ships LinkedIn gold in your voice daily. Welcome to hands-free thought leadership.\"\n }]"
},
"typeVersion": 1.2
},
{
"id": "3eefe0fd-b856-4b43-ae29-df4876c6545e",
"name": "Créateur de contenu",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1080,
160
],
"parameters": {
"text": "=You are a linkedin content creator and copywriter. Given the title {{ $json.body.title }}, the rationale {{ $json.body.rationale }}, and suggested hook: {{ $json.body.hook }}. Generate text content for a linkedin post. Also describe a suitable image for the post.",
"batching": {},
"promptType": "define",
"hasOutputParser": true
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"typeVersion": 1.7
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{
"id": "1318cc36-eee8-46f7-9a56-37d9d7cb9a35",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
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"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "0h4i5YzdkNENbxn7",
"name": "OpenAi variable"
}
},
"typeVersion": 1.2
},
{
"id": "2e59bfdc-e691-4d13-824a-10ab0d5e935c",
"name": "Analyseur de sortie structurée1",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
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"parameters": {
"jsonSchemaExample": "{\n \"post title\": \"Exciting New Feature Launch 🚀\",\n \"post content\": \"After months of collaboration, testing, and fine-tuning, we're thrilled to introduce our latest product feature: Smart Insights. It helps users uncover meaningful patterns in their data with just a few clicks. This wouldn't have been possible without our incredible team and supportive community. We're excited for what's next — and we'd love your feedback!\",\n \"image description\": \"A laptop screen showcasing the new Smart Insights dashboard with colorful charts and graphs, surrounded by a team clapping in the background.\"\n}"
},
"typeVersion": 1.2
},
{
"id": "dcd07c39-6727-479b-bc65-33dcace9bd82",
"name": "Générateur de hashtags / SEO",
"type": "@n8n/n8n-nodes-langchain.agent",
"disabled": true,
"position": [
1456,
260
],
"parameters": {
"text": "=You are an SEO specialist for LinkedIn. Your task is to generate highly relevant and effective hashtags for the following post. Consider the post's content, target audience, and current LinkedIn trends to maximize visibility and engagement.\n\n<post_title>{{ $json.output['post title'] }}</post_title>\n<post_content>{{ $json.output['post content'] }}</post_content>\n\nPlease generate:\n1. **3-5 broad, high-volume hashtags** (e.g., #AI, #Marketing, #Business)\n2. **3-5 niche-specific hashtags** that are directly relevant to the post's core topic (e.g., #SocialMediaAutomation, #ContentCreationAI, #LinkedInMarketingTips)\n3. **1-2 trending/topical hashtags** if applicable (e.g., #FutureOfWork, #DigitalTransformation)\n\nPresent them as a comma-separated list.",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2
},
{
"id": "08fcc303-b0ba-4c95-9075-c141c93c6355",
"name": "OpenAI Chat Model2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
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],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "0h4i5YzdkNENbxn7",
"name": "OpenAi variable"
}
},
"typeVersion": 1.2
},
{
"id": "b33b1379-b258-4213-9496-f0c7d5750421",
"name": "Analyseur de sortie structurée2",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1604,
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],
"parameters": {
"jsonSchemaExample": "{\n \"post title\": \"Exciting New Feature Launch 🚀\",\n \"post content\": \"After months of collaboration, testing, and fine-tuning, we're thrilled to introduce our latest product feature: Smart Insights. It helps users uncover meaningful patterns in their data with just a few clicks. This wouldn't have been possible without our incredible team and supportive community. We're excited for what's next — and we'd love your feedback!\",\n \"image description\": \"A laptop screen showcasing the new Smart Insights dashboard with colorful charts and graphs, surrounded by a team clapping in the background.\",\n\"Hashtags\":[\"#AI\",\"#Automation\"]\n}"
},
"typeVersion": 1.2
},
{
"id": "841270d3-9773-485e-a445-0a5caa1cd544",
"name": "Répondre à Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1580,
-540
],
"parameters": {
"options": {},
"respondWith": "json",
"responseBody": "={{ $json.output }}"
},
"typeVersion": 1.3
},
{
"id": "3309ad70-6683-4a95-9f74-7388353992f6",
"name": "Répondre à Webhook1",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
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],
"parameters": {
"options": {},
"respondWith": "allIncomingItems"
},
"typeVersion": 1.3
},
{
"id": "da0ef4de-963e-40b4-ba39-ba7f6f7fa54f",
"name": "HTTP Request",
"type": "n8n-nodes-base.httpRequest",
"position": [
1080,
1080
],
"parameters": {
"url": "https://api.openai.com/v1/images/generations",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "predefinedCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "model",
"value": "dall-e-3"
},
{
"name": "prompt",
"value": "={{ $json.body.imgDescription }}"
},
{
"name": "size",
"value": "1024x1024"
},
{
"name": "response_format",
"value": "b64_json"
}
]
},
"nodeCredentialType": "openAiApi"
},
"credentials": {
"openAiApi": {
"id": "0h4i5YzdkNENbxn7",
"name": "OpenAi variable"
},
"httpBearerAuth": {
"id": "ecAeX9GIMwaaElot",
"name": "Joyce's OpenAI test"
}
},
"typeVersion": 4.2
},
{
"id": "7e70feb1-1341-4673-9676-d93c791c29b7",
"name": "Répondre à Webhook2",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1300,
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],
"parameters": {
"options": {}
},
"typeVersion": 1.3
},
{
"id": "ec50678d-d47a-4435-8665-f390dc409447",
"name": "Générer une publication avec hashtags",
"type": "n8n-nodes-base.webhook",
"position": [
860,
260
],
"webhookId": "691a4b8d-542c-4d58-af2d-6851c2ba0edf",
"parameters": {
"path": "691a4b8d-542c-4d58-af2d-6851c2ba0edf",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2
},
{
"id": "b69486be-f649-439a-a851-888945bb333d",
"name": "Générer 6 sujets",
"type": "n8n-nodes-base.webhook",
"position": [
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-520
],
"webhookId": "4aebedf5-666f-40a8-925c-5ce8a5a6b967",
"parameters": {
"path": "4aebedf5-666f-40a8-925c-5ce8a5a6b967",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2
},
{
"id": "343f3302-b180-42b1-888a-98245a331409",
"name": "Générer une image",
"type": "n8n-nodes-base.webhook",
"position": [
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],
"webhookId": "61b02992-5fde-4dd6-a7f9-8edc50e1f6c6",
"parameters": {
"path": "61b02992-5fde-4dd6-a7f9-8edc50e1f6c6",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2
},
{
"id": "46433d24-5145-484c-b75e-df8db830a2e4",
"name": "Note autocollante",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"width": 360,
"height": 660,
"content": "## Step 1 - Generate topics\nThis webhook expect two values: \n1. api_key: this should be an OpenAI key \n2. prompt: this should be a detailed prompt giving the AI information about your context\n\nHere's an example of what the API call needs to look like\n\n"
},
"typeVersion": 1
},
{
"id": "9f2bdded-b0ae-490a-ab58-39618f3b3c1d",
"name": "Générateur de sujets de contenu",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1140,
-540
],
"parameters": {
"text": "={{ $json.body.prompt }}",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2
},
{
"id": "58361897-236b-46d7-8f73-3be0e1a1f9d5",
"name": "Note autocollante1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1860,
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],
"parameters": {
"width": 380,
"height": 520,
"content": "## Output \nThis webhook returns a list of 6 items, each containing a title, hook, and rationale for writing about the topic:\n\n\n\nSave this list in your UI builder so users can edit it and reference it later."
},
"typeVersion": 1
},
{
"id": "e55b4a55-8b7b-445b-af09-70611a05cac7",
"name": "Note autocollante2",
"type": "n8n-nodes-base.stickyNote",
"position": [
420,
-20
],
"parameters": {
"color": 4,
"width": 380,
"height": 860,
"content": "## Step 2 - Generate a post & related hashtags\nThis webhook expects an OpenAI API key (api_key) and information about the post you want to generate (title, hook, rationale)\n\nThe API call from your UI builder will look something like this:\n\n"
},
"typeVersion": 1
},
{
"id": "1797d890-d60b-43e8-84d2-cab481440df7",
"name": "Note autocollante3",
"type": "n8n-nodes-base.stickyNote",
"position": [
360,
-1260
],
"parameters": {
"color": 3,
"width": 1020,
"height": 320,
"content": "## Why 3 webhooks? TL;DR: to give users full control over AI outputs\n\nMany n8n templates use an all-in-one AI agent, which is great for saving time. However, we structured this template a bit differently. The goal: give end-users more control over the AI-generated content.\n\nThis template is designed to serve as the backbone of a UI built with an app builder like WeWeb. The interface includes three screens:\n1. Create topics\n2. Edit topics and generate posts\n3. Edit posts and generate images\n\nEach screen has its own dedicated webhook. This ensures users are 100% in control of the content that’s generated and published to their LinkedIn account.\n\nIf you'd like to connect this n8n template directly to a WeWeb UI, it's possible. The WeWeb template is available for free [right here](https://go.weweb.io/zoYeg5g). "
},
"typeVersion": 1
},
{
"id": "3861ae5e-7bed-4c90-a81c-686be1fe2097",
"name": "Note autocollante4",
"type": "n8n-nodes-base.stickyNote",
"position": [
2080,
140
],
"parameters": {
"color": 4,
"width": 460,
"height": 400,
"content": "## Output\n\nThis webhook returns an item with a post title, post content, and an image description:\n\n\n\nSave this in your UI builder so users can edit and reference it later."
},
"typeVersion": 1
},
{
"id": "9f2ef103-a790-43f8-b176-610ca2413686",
"name": "Note autocollante5",
"type": "n8n-nodes-base.stickyNote",
"position": [
340,
940
],
"parameters": {
"color": 5,
"width": 460,
"height": 800,
"content": "## Step 3 - Generate an image\nThis webhook expects an image description (imgDescription) and an OpenAI key (api_key). \n\nThe API call might looks something like this:\n\n"
},
"typeVersion": 1
},
{
"id": "1fa23c8c-542f-4ba6-88ff-8c93093b7621",
"name": "Note autocollante6",
"type": "n8n-nodes-base.stickyNote",
"position": [
1580,
960
],
"parameters": {
"color": 5,
"width": 460,
"height": 480,
"content": "## Output\nThis webhook returns an image encoded in base64 format:\n\n\n\nYou will need to convert it to a Blob in your frontend to display it."
},
"typeVersion": 1
}
],
"active": true,
"pinData": {},
"settings": {},
"versionId": "1dfbcd16-3799-4bf6-aeea-f1db4b006d5b",
"connections": {
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}Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Avancé - Création de contenu, IA Multimodale
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
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WeWeb
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