Traitement des flux RSS de LinkedIn avec l'IA
Ceci est unAI, Marketingworkflow d'automatisation du domainecontenant 43 nœuds.Utilise principalement des nœuds comme If, Set, Code, Sort, Limit, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. Utiliser Gemini AI et des sources RSS pour automatiser la publication d'actualités LinkedIn
- •Informations d'identification LinkedIn API
- •Peut nécessiter les informations d'identification d'authentification de l'API cible
- •Informations d'identification Google Sheets API
- •Clé API Google Gemini
Nœuds utilisés (43)
Catégorie
{
"id": "LC0IcmbjYuCMHZod",
"meta": {
"instanceId": "8c2c429dd3943ee62e07d4501247518aac7a4e0ac2348a289df368ce47041939",
"templateCredsSetupCompleted": true
},
"name": "RSS a linkedin con IA",
"tags": [
{
"id": "gvVTOTyDYvE5GHF0",
"name": "autoreboot",
"createdAt": "2025-05-05T20:28:22.814Z",
"updatedAt": "2025-05-05T20:28:22.814Z"
}
],
"nodes": [
{
"id": "8b3652a8-6b3c-477d-8636-8fbfe9b3c8c2",
"name": "Agent IA",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-500,
660
],
"parameters": {
"text": "={{ $json.prompt}}",
"options": {},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "f9bdcc21-02ec-4ad6-afc8-b16b40c6c57e",
"name": "Google Gemini Modèle de Chat",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
-500,
860
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash"
},
"credentials": {
"googlePalmApi": {
"id": "9KMVOu6vEVg8Q1M3",
"name": "Google Gemini(PaLM) Api CIAP"
}
},
"typeVersion": 1
},
{
"id": "7b30aa2a-c6b4-42cc-b714-8c1e6744b4e6",
"name": "Déclencheur Planifié",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-3180,
860
],
"parameters": {
"rule": {
"interval": [
{
"field": "weeks",
"triggerAtDay": [
2,
3,
4,
0
],
"triggerAtHour": 15
}
]
}
},
"typeVersion": 1.2
},
{
"id": "f8ee49fd-aaab-4366-8b5d-3be59c5a08ca",
"name": "Catalogue de Test de Lecture RSS",
"type": "n8n-nodes-base.rssFeedRead",
"position": [
-2960,
1060
],
"parameters": {
"url": "https://www.testingcatalog.com/rss/",
"options": {
"ignoreSSL": true
}
},
"typeVersion": 1.1
},
{
"id": "a8285394-b8b4-42a4-8be3-45dbfc7ed1e3",
"name": "Transformer la date",
"type": "n8n-nodes-base.set",
"position": [
-2520,
860
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "9aec0a09-4b6f-4fca-98e6-789abd5fdc51",
"name": "title",
"type": "string",
"value": "={{ $json.title }}"
},
{
"id": "56277e54-31a0-4804-ad23-c9ee6d244641",
"name": "content",
"type": "string",
"value": "={{ $json.contentSnippet }}"
},
{
"id": "a3586a80-588e-42d1-9780-370a956ddf6b",
"name": "link",
"type": "string",
"value": "={{ $json.link }}"
},
{
"id": "58f01618-8014-4685-9192-d15d596ffcd9",
"name": "timestampDate",
"type": "number",
"value": "={{ new Date($json.isoDate).getTime() }}"
},
{
"id": "716bb078-8df3-4d96-8a1b-4aec4f8cf206",
"name": "categories",
"type": "array",
"value": "={{ $json.categories }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5c5392e3-65d9-44f6-b4f2-03bfb6c5ba49",
"name": "Filtrer par date (plus de 7 jours)",
"type": "n8n-nodes-base.filter",
"position": [
-2300,
780
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "e7cf09fb-af35-495d-a840-341f8d0ddcd8",
"operator": {
"type": "number",
"operation": "gt"
},
"leftValue": "={{ $json.timestampDate}}",
"rightValue": "={{ Date.now() - 7 * 24 * 60 * 60 * 1000 }}"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "db4bedbb-c84e-4acb-83dc-fbb97ca6c2ca",
"name": "Trier par date",
"type": "n8n-nodes-base.sort",
"position": [
-2080,
780
],
"parameters": {
"options": {},
"sortFieldsUi": {
"sortField": [
{
"order": "descending",
"fieldName": "timestampDate"
}
]
}
},
"typeVersion": 1
},
{
"id": "4842aae7-e5f3-4fcb-8b47-eac954182cde",
"name": "Limiter les actualités à x",
"type": "n8n-nodes-base.limit",
"position": [
-1860,
780
],
"parameters": {},
"typeVersion": 1
},
{
"id": "f9a0b527-30b3-4f65-8845-b1ae584d7b76",
"name": "Fusionner",
"type": "n8n-nodes-base.merge",
"position": [
-2740,
860
],
"parameters": {
"numberInputs": 3
},
"typeVersion": 3
},
{
"id": "1e26c489-cfe1-4b36-9071-4d41bbe1a82a",
"name": "Lecture RSS marktechpost",
"type": "n8n-nodes-base.rssFeedRead",
"position": [
-2960,
860
],
"parameters": {
"url": "https://www.marktechpost.com/feed/",
"options": {}
},
"typeVersion": 1.1
},
{
"id": "44b400c2-6404-488b-8d84-e24cf66445ee",
"name": "Note adhésive",
"type": "n8n-nodes-base.stickyNote",
"position": [
-3060,
540
],
"parameters": {
"color": 4,
"width": 500,
"height": 660,
"content": "## RSS sources \nHere you can add up to nine sources of RSS. To do so, modify the merge node for the number of RSS feeds you want, duplicate the RSS node and wire it to the trigger and the merge node\n"
},
"typeVersion": 1
},
{
"id": "cd5c4246-01f9-434a-8b38-9514e4e5b0d4",
"name": "Note adhésive1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2340,
520
],
"parameters": {
"color": 5,
"width": 640,
"height": 420,
"content": "## Age and number of the news \nHere you can set the number of days behind by changing the 7 by any number in the filter by date node:\n```\nDate.now() - 7 * 24 * 60 * 60 * 1000\n```\nYou can also modify the number of news in the \"limit news to x\" node"
},
"typeVersion": 1
},
{
"id": "bd10d075-b967-4633-9ba2-25dbf0b2869e",
"name": "Agent IA1",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-1520,
640
],
"parameters": {
"text": "=Analyze the news article below. Identify and summarize these elements: core innovation, main goal, problem addressed, benefits, context, significance, key entities. For each element, output one line in plain text using a hyphen, the element name, a colon, and the description. Do not use any markdown formatting, bold, italics, or nested lists. Return only the list.\n\nTitle: {{ $json.title }}\nContent: {{ $json.content }}",
"options": {},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "ab1c0a4d-01e8-4100-a62a-886587526299",
"name": "Google Gemini Modèle de Chat1",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
-1520,
840
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash"
},
"credentials": {
"googlePalmApi": {
"id": "9KMVOu6vEVg8Q1M3",
"name": "Google Gemini(PaLM) Api CIAP"
}
},
"typeVersion": 1
},
{
"id": "e76371ee-84cc-41f0-8959-7d0741354ffa",
"name": "Note adhésive2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1620,
440
],
"parameters": {
"color": 3,
"width": 680,
"height": 560,
"content": "# Etapa de IA: usando el API de Gemini\n\n## Modulo de análisis de contenido"
},
"typeVersion": 1
},
{
"id": "24a564ad-32d3-42b9-aaca-4c9d8d77fb46",
"name": "Note adhésive3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-900,
440
],
"parameters": {
"color": 3,
"width": 680,
"height": 560,
"content": "# Etapa de IA: usando el API de Gemini\n\n## Modulo de obtención de hashtags"
},
"typeVersion": 1
},
{
"id": "0092b8e8-c0d3-4d9c-a790-8617e93e43db",
"name": "Information",
"type": "n8n-nodes-base.merge",
"position": [
-160,
180
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition",
"numberInputs": 3
},
"typeVersion": 3.1
},
{
"id": "a57550da-78ec-4d54-a416-622859ed017d",
"name": "Information2",
"type": "n8n-nodes-base.set",
"position": [
-1700,
180
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "a87eedc7-035a-4672-8f4b-025603473aa0",
"name": "Enlace",
"type": "string",
"value": "={{ $json.link }}"
},
{
"id": "586747c1-cdde-46b2-b504-50721e22c7e1",
"name": "Fecha_sinFormato",
"type": "string",
"value": "={{ $json.timestampDate}}"
},
{
"id": "891b44a6-7e36-4bfc-97c2-73defa2e4aef",
"name": "Titulo_original",
"type": "string",
"value": "={{ $json.title }}"
},
{
"id": "0549ed91-6247-45d7-b165-c7ece53accc9",
"name": "Contenido",
"type": "string",
"value": "={{ $json.content }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "7876cd0d-cc88-4912-815c-c43ea2d25448",
"name": "Information3",
"type": "n8n-nodes-base.set",
"position": [
-1360,
1240
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "341ed383-56fc-4ebb-a76a-3c5ad97da091",
"name": "Categorias",
"type": "string",
"value": "={{ $json.categories }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "6ce78f24-fa0d-4843-b9e2-6321beb262ff",
"name": "Code1",
"type": "n8n-nodes-base.code",
"position": [
-700,
660
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "// Accede a los datos del merge\nconst analysis = $json.output.trim();\nconst categories = JSON.parse($json.Categorias);\n\n// Construye el prompt de ingeniería avanzada\nconst prompt = `Based on the analysis: ${analysis} and these categories: ${categories.join(', ')}, select the most relevant keywords to convert into LinkedIn hashtags. Choose only those closely related to the topic, popular within the AI community, innovative, and attention-grabbing. Generate five hashtags minimum. Return only the list of hashtags formatted with “#” and separated by commas, with no additional text or line breaks. Example: #AI, #Langchain, #ModelContextProtocols.`;\n\n// Devuelve el prompt para usarlo en el siguiente nodo\nreturn { prompt };"
},
"typeVersion": 2
},
{
"id": "025824b0-92b1-4fef-896e-ed659a31259c",
"name": "Information1",
"type": "n8n-nodes-base.merge",
"position": [
-880,
660
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3.1
},
{
"id": "3f479d20-69eb-42f1-9de3-94fafe0cfea9",
"name": "Modifier les Champs",
"type": "n8n-nodes-base.set",
"position": [
-800,
300
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "516a13eb-fd6d-4524-870f-937bd0c8a4ec",
"name": "Analisis",
"type": "string",
"value": "={{ $json.output }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "466fb541-3a67-422e-94cc-79ff7aa564a1",
"name": "LinkedIn",
"type": "n8n-nodes-base.linkedIn",
"position": [
3080,
260
],
"parameters": {
"text": "={{ $('AI Agent2').item.json.output }}",
"postAs": "organization",
"organization": "=89339025",
"authentication": "communityManagement",
"additionalFields": {},
"shareMediaCategory": "IMAGE"
},
"credentials": {
"linkedInCommunityManagementOAuth2Api": {
"id": "1Wx2ujF9qglMVHJi",
"name": "LinkedIn Community Management account"
}
},
"typeVersion": 1
},
{
"id": "b65ea250-f029-43c8-9aa2-4da538b468c5",
"name": "Note adhésive5",
"type": "n8n-nodes-base.stickyNote",
"position": [
2860,
0
],
"parameters": {
"color": 5,
"width": 560,
"height": 540,
"content": "# Etapa: Publicación en LinkedIn \n\n## Módulo de publicación de información obtenida en LinkedIn"
},
"typeVersion": 1
},
{
"id": "7e668a0d-99fa-42f4-9609-cad6a02b844c",
"name": "Note adhésive6",
"type": "n8n-nodes-base.stickyNote",
"position": [
3540,
0
],
"parameters": {
"color": 2,
"width": 900,
"height": 540,
"content": "# Generación de Código QR\n\n## Módulo de generación de código QR de la publicación realizada"
},
"typeVersion": 1
},
{
"id": "afa9677c-283e-45c7-817c-98ef5147bab9",
"name": "Conversion en lien de LinkedIn",
"type": "n8n-nodes-base.set",
"position": [
3620,
260
],
"parameters": {
"mode": "raw",
"options": {},
"jsonOutput": "={\n \"link\": \"https://www.linkedin.com/feed/update/{{ $json.urn }}\"\n} "
},
"typeVersion": 3.4
},
{
"id": "25a8647e-093e-4f95-bdcc-002b36d52704",
"name": "Générer QR",
"type": "n8n-nodes-base.httpRequest",
"position": [
3920,
260
],
"parameters": {
"url": "https://api.qrserver.com/v1/create-qr-code/",
"options": {},
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "data",
"value": "={{ $json.link }}"
},
{
"name": "size",
"value": "300x300"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "1f482175-4527-44d7-899b-c59ffcf0dd33",
"name": "Écrire un fichier",
"type": "n8n-nodes-base.writeBinaryFile",
"position": [
4200,
260
],
"parameters": {
"options": {},
"fileName": "qr.png"
},
"typeVersion": 1
},
{
"id": "9f2f06d6-c200-43c9-87ca-3bac64f6a752",
"name": "Convertir en Fichier",
"type": "n8n-nodes-base.convertToFile",
"position": [
2500,
260
],
"parameters": {
"options": {},
"operation": "toBinary",
"sourceProperty": "candidates[0].content.parts[0].inlineData.data"
},
"typeVersion": 1.1
},
{
"id": "7e842770-c617-4adc-a0cd-e0c6295d2e2e",
"name": "Note adhésive10",
"type": "n8n-nodes-base.stickyNote",
"position": [
2080,
0
],
"parameters": {
"color": 4,
"width": 680,
"height": 540,
"content": "# Etapa de IA: Generación de Imagen\n\n## Generación de Imagen mediante Gemini 2.0 y conversión a PNG"
},
"typeVersion": 1
},
{
"id": "0f7f43ab-c827-43fe-9daf-f6b659fb060f",
"name": "Génération d'Image1",
"type": "n8n-nodes-base.httpRequest",
"position": [
2220,
260
],
"parameters": {
"url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash-exp-image-generation:generateContent",
"method": "POST",
"options": {},
"jsonBody": "={\n \"contents\": [\n {\n \"role\": \"user\",\n \"parts\": [\n {\n \"text\": \"{{ $json.output.slice(0, -2) }}\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"responseModalities\": [\"Text\", \"Image\"]\n }\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "googlePalmApi"
},
"credentials": {
"googlePalmApi": {
"id": "4oDRxTpOIr5AefZt",
"name": "Google Gemini(PaLM) Api account 2"
}
},
"typeVersion": 4.2
},
{
"id": "559ade49-80f1-4fab-9388-bbd32d1cdca0",
"name": "Google Sheets",
"type": "n8n-nodes-base.googleSheets",
"position": [
3940,
600
],
"parameters": {
"columns": {
"value": {
"Title": "={{ $('Information').item.json.Titulo_original }}",
"Link_pub": "={{ $json.link }}",
"Link_raw": "={{ $('Information').item.json.Enlace }}"
},
"schema": [
{
"id": "Title",
"type": "string",
"display": true,
"required": false,
"displayName": "Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Link_raw",
"type": "string",
"display": true,
"required": false,
"displayName": "Link_raw",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Link_pub",
"type": "string",
"display": true,
"required": false,
"displayName": "Link_pub",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/13Q6dJDpnuQBYiPvXRWElkhKT0c7MvfmeDmG8Gbz-1Cs/edit#gid=0",
"cachedResultName": "Hoja 1"
},
"documentId": {
"__rl": true,
"mode": "url",
"value": "https://docs.google.com/spreadsheets/d/13Q6dJDpnuQBYiPvXRWElkhKT0c7MvfmeDmG8Gbz-1Cs/edit?usp=sharing"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "gHDZ1bBcTv3KGueR",
"name": "Google Sheets account 2"
}
},
"typeVersion": 4.5
},
{
"id": "63b9cc44-abac-4a07-8a7b-4e7809af1cc6",
"name": "Google Sheets1",
"type": "n8n-nodes-base.googleSheets",
"position": [
40,
180
],
"parameters": {
"options": {},
"filtersUI": {
"values": [
{
"lookupValue": "={{ $json.Enlace }}",
"lookupColumn": "Link_raw"
}
]
},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/13Q6dJDpnuQBYiPvXRWElkhKT0c7MvfmeDmG8Gbz-1Cs/edit#gid=0",
"cachedResultName": "Hoja 1"
},
"documentId": {
"__rl": true,
"mode": "url",
"value": "https://docs.google.com/spreadsheets/d/13Q6dJDpnuQBYiPvXRWElkhKT0c7MvfmeDmG8Gbz-1Cs/edit?usp=sharing"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "gHDZ1bBcTv3KGueR",
"name": "Google Sheets account 2"
}
},
"typeVersion": 4.5,
"alwaysOutputData": true
},
{
"id": "937c68b8-9f9a-46bc-89ca-966c638e1f68",
"name": "Si existe",
"type": "n8n-nodes-base.if",
"position": [
240,
180
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "04a473df-24f7-4dd6-aa55-0960263caa71",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.Link_raw }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "68c4d695-bad7-41e4-b88a-fbd5d8cb0867",
"name": "Code",
"type": "n8n-nodes-base.code",
"position": [
600,
200
],
"parameters": {
"jsCode": "// Acceder a todas las entradas fusionadas del nodo \"Information\" (Merge)\nconst outputs = $('Information').all(); // Accede a todas las salidas fusionadas\n\n// Extraer la información de la noticia desde la primera entrada (índice 0)\nconst informacion = outputs[0].json[\"Contenido\"] || \"No disponible\"; // Información (noticia)\n\n// Extraer los hashtags desde la tercera entrada (índice 2)\nconst hashtags = outputs[0].json[\"output\"] || \"No disponibles\"; // Hashtags\n\n// Extraer los datos adicionales de la tercera entrada (índice 2)\nconst enlace = outputs[0].json[\"Enlace\"] || \"No disponible\"; // Enlace\nconst titulo_original = outputs[0].json[\"Titulo_original\"] || \"No disponible\"; // Título original\nconst analisis = outputs[0].json[\"Analisis\"] || \"No disponible\"; // Análisis\n\n// Construir el prompt final con toda la información y estructura requerida\nconst prompt = `\n\nYour Input Fields:\n- News Title: ${titulo_original}\n- News Content: ${informacion}\n- News Analysis: ${analisis}\n- Suggested Hashtags: ${hashtags}\n- Article Link: ${enlace}\n\nPost Structure:\n1. Attractive title with emoji: create a catchy title using a relevant emoji (for example, 🚀, 💡, 🔍). The title should be concise and appropriate for LinkedIn, but it should not be the same as the news title. Make it appealing to grab the readers' attention.\n\n2. Initial summary (max. 3 lines): write a clear and direct summary that introduces the core of the news. Use professional, simple language. Avoid unnecessary technical terms.\n\n3. Relevance of the Advancement (mandatory, 3 bullet points exactly): emphasize the potential impact of the advancement and how it could shape future developments. Avoid repeating information already presented in the title or summary. This section is the most persuasive part of the post, so it must be compelling and informative. Do not use hashtags or similar elements in the opening question or bullet points. \n\n- Opening question: the opening question should introduce the significance of the advancement and prompt curiosity, directly tying it to the topic and analysis of the news. This question should smoothly lead into the 3 key points. Ensureis not too long. Ensure the opening question are shorter than a line and concise. \n\n- Bullet points: provide context (AI, science, industry, etc.) and explain its significance. Capture attention by illustrating the benefits, implications, or future potential of the advancement. Ensure the bullet points are shorter than a line and concise, avoiding excessive detail. You can use emojis if necessary, but avoid overusing them.\n\n4. Call to Action (CTA – topic-related): end the post with a short, clever question or comment directly related to the topic. It must encourage reflection or interaction. Place it as the final line, after the article link\n\n5. Link to full article: add this line right before the closing *conoce más de esta noticia en el artículo completo: ${enlace}*\n\n6. Hashtags: choose 5 to 7 hashtags from the provided list. Include only those highly relevant to the topic and professional community.\n`;\n\n// Retornar solo el prompt\nreturn { \"prompt\": prompt };"
},
"typeVersion": 2
},
{
"id": "879ad0d7-6c0e-481d-b203-5637ef6cd580",
"name": "Agent IA2",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
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],
"parameters": {
"text": "={{ $json.prompt }}",
"options": {
"systemMessage": "=You are a professional content creator preparing a LinkedIn post in Spanish based on the news provided. The post must be concise (approx. 1200 characters), visually structured, and written in a professional and accessible tone. Follow the format and constraints below exactly."
},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "99792b7b-919f-42d2-9ac4-75f4512e5eaf",
"name": "Google Gemini Modèle de Chat2",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
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380
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash"
},
"credentials": {
"googlePalmApi": {
"id": "9KMVOu6vEVg8Q1M3",
"name": "Google Gemini(PaLM) Api CIAP"
}
},
"typeVersion": 1
},
{
"id": "d145c813-7366-45f4-b35c-1606c5323277",
"name": "Note adhésive4",
"type": "n8n-nodes-base.stickyNote",
"position": [
520,
20
],
"parameters": {
"color": 3,
"width": 680,
"height": 540,
"content": "# Etapa de IA: usando el API de Gemini\n\n## Modulo de obtención de la publicación"
},
"typeVersion": 1
},
{
"id": "aa78a09e-53a2-45ca-8603-7ab8d2071c0c",
"name": "Agent IA4",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
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"parameters": {
"text": "=Create a prompt that generates only one response with no comments and no line breaks: a clean professional image for a LinkedIn news post based on the following news {{ $json.text }}. Ensure it reflects the core message conveying trust innovation and professionalism with space for overlay text. Do not use quotation marks, apostrophes, or any other punctuation marks.",
"options": {
"systemMessage": "=1. Title Placement: place the provided title in Spanish at the upper center of the image. The title must be legible and appropriately sized. It should integrate smoothly into the design without overpowering other visual elements. Ensure it clearly reflects the core message of the news without disrupting the overall balance.\n\n2. Color Palette: choose a color palette that aligns with the theme of the news. Use colors that enhance the core message—such as blue or gray for technology or business, earth tones for sustainability, or neutral tones for leadership. The colors should work together harmoniously, supporting the message without causing distractions or overwhelming the design.\n\n3. Core Message Visualization: visualize the core message through minimalistic and relevant visuals. Use abstract symbols, icons, or relevant imagery that represent the key concepts of the article, ensuring the visuals enhance the message. Avoid overcrowding the design, maintaining a professional, clean appearance.\n\n4. Overlay Text Space: ensure clear space for overlay text (e.g., subtitles or keywords). The text should be legible, well-integrated into the design, and should not obscure important visual elements or the main message. The design should be balanced and allow the text to enhance the image, not overpower it.\n\n5. Composition: maintain a minimalist, balanced composition that adheres to LinkedIn’s professional standards. All elements—title, visuals, and text—should work harmoniously together. Ensure that nothing feels cluttered, and the layout directs the viewer’s attention in a clear, logical flow. The design should feel polished and professional.\n\n6. Output Format: the image must be designed to fit LinkedIn’s standard post dimensions. Ensure the resolution is high enough for clarity and sharpness across both desktop and mobile devices, maintaining high visual quality while fitting LinkedIn’s specifications.\n\n"
},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "5e15478c-cef0-4f33-ad76-5ac9e4970680",
"name": "Google Gemini Modèle de Chat4",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1620,
420
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash"
},
"credentials": {
"googlePalmApi": {
"id": "9KMVOu6vEVg8Q1M3",
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}
},
"typeVersion": 1
},
{
"id": "68fd37f9-c871-410a-b533-9da3d5599d40",
"name": "Note adhésive9",
"type": "n8n-nodes-base.stickyNote",
"position": [
1340,
-20
],
"parameters": {
"width": 640,
"height": 600,
"content": "# Etapa de IA: Prompt para imagen\n\n## Limpieza de contenido de noticia y generación de prompt para obtener una imagen adecuada al contexto de la noticia"
},
"typeVersion": 1
},
{
"id": "83afd162-9160-4a0e-8ac4-deee4e65690c",
"name": "Nettoyage du contenu de l'Actualité1",
"type": "n8n-nodes-base.code",
"position": [
1400,
220
],
"parameters": {
"jsCode": "let texto = $input.first().json.output\n .replace(/[\\n\\r\\t]/g, \" \") // Reemplaza saltos de línea, retorno de carro y tabulaciones por espacio\n .replace(/['\"\\\\]/g, \"\") // Elimina comillas simples, dobles y barras invertidas\n .replace(/\\s+/g, \" \") // Reemplaza múltiples espacios por un solo espacio\n .trim(); // Elimina los espacios en blanco al inicio y al final\n\nreturn {\n text: texto\n};"
},
"typeVersion": 2
},
{
"id": "93bae040-4a3b-415d-80d6-fd3c8dac97a3",
"name": "RSS LatinxinAI",
"type": "n8n-nodes-base.rssFeedRead",
"position": [
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660
],
"parameters": {
"url": "https://medium.com/feed/latinxinai",
"options": {}
},
"typeVersion": 1.1
}
],
"active": true,
"pinData": {},
"settings": {
"timezone": "America/Guayaquil",
"callerPolicy": "workflowsFromSameOwner",
"executionOrder": "v1"
},
"versionId": "e0a1c8c3-bece-4ab6-ae4f-cd83e486d413",
"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 - Intelligence Artificielle, Marketing
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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