Shrishti S Nagar This workflow corresponds to n8n.io template #9769 — we link there as the canonical source.
This workflow follows the Agent → HTTP Request 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 →
{
"meta": {
"templateCredsSetupCompleted": false
},
"name": "RSS to LinkedIn Auto-Poster",
"nodes": [
{
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-496,
-360
],
"parameters": {
"width": 384,
"height": 704,
"content": "## \ud83e\udde0 Workflow Overview \n\nThis workflow automatically curates articles from an RSS feed and turns them into short, ready-to-post LinkedIn updates using **Gemini AI**.\n\n### \ud83d\udd01 What it does \n- Fetches fresh articles twice a week \n- Uses AI to pick the most relevant one for your audience \n- Summarizes it into a crisp LinkedIn-style post \n- Checks post quality \u2192 only publishes if score \u2265 7/10 \n- Creates a graphic using Templated\n- Auto-posts to your LinkedIn Page \n\n### \u2699\ufe0f What you need \n- Gemini API credentials \n- LinkedIn OAuth2 connection \n- Any RSS feed URL (replace the default)\n- Templated API\n"
},
"typeVersion": 1
},
{
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
208,
176
],
"parameters": {
"color": 7,
"width": 464,
"height": 80,
"content": "## Curator\nRSS Read curates articles and sends to Article Finder"
},
"typeVersion": 1
},
{
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1264,
16
],
"parameters": {
"color": 7,
"width": 464,
"height": 80,
"content": "## Creator & Optimizer\nCreates Content & Optimizes"
},
"typeVersion": 1
},
{
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
2176,
160
],
"parameters": {
"color": 7,
"width": 464,
"height": 80,
"content": "## Designer & Poster\nCreates Design & Posts on LinkedIn"
},
"typeVersion": 1
},
{
"name": "Schedule Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
0,
300
],
"parameters": {
"rule": {
"interval": [
{
"field": "cronExpression",
"expression": "0 11 * * TUE"
},
{
"field": "cronExpression",
"expression": "0 11 * * THU"
}
]
}
},
"typeVersion": 1.2
},
{
"name": "RSS Read",
"type": "n8n-nodes-base.rssFeedRead",
"position": [
224,
300
],
"parameters": {
"url": "https://blog.hubspot.com/marketing/rss.xml",
"options": {}
},
"retryOnFail": true,
"typeVersion": 1.2
},
{
"name": "Aggregate",
"type": "n8n-nodes-base.aggregate",
"position": [
448,
300
],
"parameters": {
"options": {},
"fieldsToAggregate": {
"fieldToAggregate": [
{
"fieldToAggregate": "title"
},
{
"fieldToAggregate": "content"
},
{
"fieldToAggregate": "link"
}
]
}
},
"typeVersion": 1
},
{
"name": "group the news into 1 item",
"type": "n8n-nodes-base.code",
"position": [
672,
300
],
"parameters": {
"jsCode": "// Inputs expected from Aggregate/RSS: arrays: title[], content[], link[]\nconst all = items[0].json; // aggregated item\nconst titles = all.title || [];\nconst contents = all.content || [];\nconst links = all.link || [];\n\nconst articles = [];\nconst lines = [];\n\nconst maxLen = Math.max(titles.length, contents.length, links.length);\nfor (let i = 0; i < maxLen; i++) {\n const obj = {\n id: i + 1, // stable ID (1..N). Use guid if you have one.\n title: titles[i] ?? \"\",\n content: contents[i] ?? \"\",\n link: links[i] ?? \"\"\n };\n articles.push(obj);\n // Short preview for the AI to choose from:\n const preview = (obj.content || \"\").replace(/\\s+/g, \" \").slice(0, 220);\n lines.push(`${obj.id}. ${obj.title}\\n${preview}${preview.length === 220 ? \"\u2026\" : \"\"}`);\n}\n\nreturn [\n {\n json: {\n articles, // keep the structured mapping\n forAI: lines.join(\"\\n\\n\") // human-readable list for the model\n }\n }\n];"
},
"typeVersion": 2
},
{
"name": "Best Article finder",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
896,
300
],
"parameters": {
"text": "=You are (company name) content curator. Select the BEST article for our audience.\n\nCOMPANY AUDIENCE:\n\n\nSELECTION CRITERIA:\nCHECK:\n- Can someone practically apply this TODAY or is it just knowledge?\n- Will they want to save this?\n\nSKIP ARTICLES ABOUT:\n- Pure theory without practical steps\n\nPick only 1 and give only {{ $json.articles[0].link }} as output\n\n{{ $json.forAI }}\n\n",
"options": {},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
968,
524
],
"parameters": {
"options": {},
"modelName": "models/gemini-1.5-flash"
},
"typeVersion": 1
},
{
"name": "Google Gemini Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1320,
400
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"name": "Content Creator",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1248,
176
],
"parameters": {
"text": "=Turn blog into quick byte below 200 words. \n\nCOMPANY AUDIENCE:\n\n\nWRITING RULES:\n- Write for the audience keeping in mind that they need opinion/insights, they don't have time to spare so be very on point and crisp and profound\n- Include specific numbers/time when possible\n- Keep it to the point like in news/bulletin \n- Always use bullets/classified structure, no extra output needed\n\nHere is the blog to use: {{ $json.output }}",
"options": {},
"promptType": "define"
},
"retryOnFail": true,
"typeVersion": 2.2
},
{
"name": "Post optimizer",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1600,
176
],
"parameters": {
"text": "=Analyze this post deeply\n\nPost = {{ $json.output }}\n\nCHECK & OPTIMIZE FOR:\n- Can someone practically apply this TODAY or is it just knowledge?\n- Will THEY want to save this?\n- Does this have fluff/filler words that inflate sentences? Keep sentences small and easy to read.\n- Does it look AI Generated? Prefer human sentence construction\n- No emoji, use \u2192 or other symbols for bullets, don't use * or em dash in post, space after every bullet\n- Analyze First line: should not be in text:text format, only mention crux like \"loop marketing strategy\", or use title like \"here's why you need loop marketing\"\n\nAlso create a headline for image for this post, keep it crisp and catchy\n\nOUTPUT:\n{\n \"final_post\": \"[LinkedIn-ready post]\",\n\"image_text\": \"[Headline for image= what the post is about]\"\n \"confidence_score\": [1-10],\n \"post_now\": [true if score >= 7]\n} ",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"retryOnFail": true,
"typeVersion": 2.2
},
{
"name": "Google Gemini Chat Model2",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1608,
400
],
"parameters": {
"options": {},
"modelName": "models/gemini-1.5-pro"
},
"typeVersion": 1
},
{
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1736,
400
],
"parameters": {
"jsonSchemaExample": "{\n \"final_post\": \"[LinkedIn-ready post]\",\n \"image_text\": \"[Image Title Catcy]\",\n \"confidence_score\": [10],\n \"post_now\": [true]\n} "
},
"typeVersion": 1.3
},
{
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
1952,
300
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.output.post_now[0] }}",
"rightValue": "true"
}
]
}
},
"typeVersion": 2.2
},
{
"name": "Templated",
"type": "n8n-nodes-templated.templated",
"position": [
2176,
300
],
"parameters": {
"layers": {
"layer": [
{
"text": "={{ $json.output.image_text }}",
"layerName": "paragraph-text"
}
]
},
"template": "",
"requestOptions": {}
},
"retryOnFail": true,
"typeVersion": 1
},
{
"name": "Create a post",
"type": "n8n-nodes-base.linkedIn",
"position": [
2624,
300
],
"parameters": {
"text": "={{ $('Post optimizer').item.json.output.final_post }}",
"postAs": "organization",
"organization": "",
"additionalFields": {},
"shareMediaCategory": "IMAGE"
},
"typeVersion": 1
},
{
"name": "HTTP Request",
"type": "n8n-nodes-base.httpRequest",
"position": [
2400,
300
],
"parameters": {
"url": "={{ $json.render_url }}",
"options": {
"response": {
"response": {
"responseFormat": "file"
}
}
}
},
"typeVersion": 4.2
}
],
"connections": {
"If": {
"main": [
[
{
"node": "Templated",
"type": "main",
"index": 0
}
],
[
{
"node": "Best Article finder",
"type": "main",
"index": 0
}
]
]
},
"RSS Read": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "group the news into 1 item",
"type": "main",
"index": 0
}
]
]
},
"Templated": {
"main": [
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request": {
"main": [
[
{
"node": "Create a post",
"type": "main",
"index": 0
}
]
]
},
"Post optimizer": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"Content Creator": {
"main": [
[
{
"node": "Post optimizer",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "RSS Read",
"type": "main",
"index": 0
}
]
]
},
"Best Article finder": {
"main": [
[
{
"node": "Content Creator",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Best Article finder",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Post optimizer",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Google Gemini Chat Model1": {
"ai_languageModel": [
[
{
"node": "Content Creator",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Gemini Chat Model2": {
"ai_languageModel": [
[
{
"node": "Post optimizer",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"group the news into 1 item": {
"main": [
[
{
"node": "Best Article finder",
"type": "main",
"index": 0
}
]
]
}
}
}
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Every week, it pulls the latest marketing insights from an RSS feed (like HubSpot’s), analyzes them, and turns the best article into a crisp, human-style LinkedIn post — complete with branded visuals and headline text using the Templated API.
Source: https://n8n.io/workflows/9769/ — 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.
Automatically scan major financial newswires for biotech catalyst events, score them with AI sentiment analysis, and surface ranked trade candidates — all without manual monitoring.
RSS Feed Read, Data Table, HTTP Request +4
This project is an automated news publisher for LinkedIn. It uses RSS feeds to fetch news, processes the content with the Gemini API to generate precise summaries, and automatically publishes to Linke
Agent, Google Gemini Chat, RSS Feed Read +4
This workflow is designed for Japanese-speaking professionals, and learners who want to efficiently stay up to date with practical productivity, lifehack, and efficiency-related insights from Japanese
RSS Feed Read, Chain Llm, Google Gemini Chat +7
AI powered workflow that scans HR news via RSS, checks which of your policies or contract templates might need updates, and sends a weekly internal newsletter as HTML.
RSS Feed Read, HTTP Request, Google Drive +5
公認資格ワークフロー. Uses rssFeedRead, chainLlm, lmChatGoogleGemini, outputParserStructured. Scheduled trigger; 25 nodes.
RSS Feed Read, Chain Llm, Google Gemini Chat +5