Țugui Dragoș 
This workflow corresponds to n8n.io template #8131 — we link there as the canonical source.
This workflow follows the Chainllm → 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 →
{
"id": "cZqsFsT0dT7XJO3K",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "RSS AI News Slack Automation v010925",
"tags": [
{
"id": "7ASMGI4lVr4Eo8rL",
"name": "tuguidragos.com",
"createdAt": "2025-08-23T19:10:40.177Z",
"updatedAt": "2025-08-23T19:10:40.177Z"
},
{
"id": "KBQZBD4R6LVuuFK2",
"name": "slack-alerts",
"createdAt": "2025-09-01T16:14:22.027Z",
"updatedAt": "2025-09-01T16:14:22.027Z"
},
{
"id": "NtEM4qJBPpIvfcPu",
"name": "automation",
"createdAt": "2025-08-31T21:12:32.130Z",
"updatedAt": "2025-08-31T21:12:32.130Z"
},
{
"id": "kcwb9hV3Q0yE899g",
"name": "ai-analysis",
"createdAt": "2025-09-01T16:14:14.257Z",
"updatedAt": "2025-09-01T16:14:14.257Z"
},
{
"id": "n3yKbZ1k0G32PsQK",
"name": "rss",
"createdAt": "2025-09-01T16:14:02.175Z",
"updatedAt": "2025-09-01T16:14:02.175Z"
},
{
"id": "t2EcIvqmhXhIFZHS",
"name": "news",
"createdAt": "2025-09-01T16:14:05.043Z",
"updatedAt": "2025-09-01T16:14:05.043Z"
}
],
"nodes": [
{
"id": "1ef0840b-0b56-4f2e-911f-2c125ec88860",
"name": "DeepSeek Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatDeepSeek",
"position": [
1672,
-672
],
"parameters": {
"options": {}
},
"credentials": {
"deepSeekApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "1bb5f3f8-d8b7-4804-a80e-4dadb448acbb",
"name": "normalize & hash",
"type": "n8n-nodes-base.code",
"position": [
480,
-896
],
"parameters": {
"jsCode": "function fnv1a(str) {\n let h = 0x811c9dc5;\n for (let i = 0; i < str.length; i++) {\n h ^= str.charCodeAt(i);\n h += (h << 1) + (h << 4) + (h << 7) + (h << 8) + (h << 24);\n }\n return (h >>> 0).toString(16);\n}\n\nreturn items.map(item => {\n const url = item.json.link || item.json.url || '';\n const title = item.json.title || '';\n const content = (item.json.content || item.json['content:encoded'] || item.json.contentSnippet || '').toString();\n\n const text = [title, content]\n .join('\\n')\n .replace(/<[^>]+>/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n\n item.json.url = url;\n item.json.title = title;\n item.json.text_rss = text.slice(0, 6000);\n item.json.url_hash = fnv1a(String(url).toLowerCase());\n return item;\n});"
},
"typeVersion": 2
},
{
"id": "f3f640db-0c04-42ca-9cb7-fb5e8e24a8af",
"name": "parse HTML",
"type": "n8n-nodes-base.code",
"position": [
704,
-896
],
"parameters": {
"jsCode": "const keepDays = 14;\nconst maxEntries = 800;\nconst now = Date.now();\n\nconst store = $getWorkflowStaticData('global');\nif (!store.seen) store.seen = {};\n\nreturn items.map(item => {\n const key = item.json.url_hash;\n const isNew = !store.seen[key];\n store.seen[key] = now;\n\n for (const [k, t] of Object.entries(store.seen)) {\n if (now - t > keepDays * 86400000) delete store.seen[k];\n }\n const entries = Object.entries(store.seen);\n if (entries.length > maxEntries) {\n entries.sort((a,b) => a[1] - b[1]);\n for (let i = 0; i < entries.length - maxEntries; i++) delete store.seen[entries[i][0]];\n }\n\n item.json._isNew = isNew;\n return item;\n});"
},
"typeVersion": 2
},
{
"id": "9ce66c28-7b0e-49e9-bf49-5f0086b4a127",
"name": "New?",
"type": "n8n-nodes-base.if",
"position": [
928,
-896
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "1ae4fafc-43ff-41d7-8796-d26fe6ba33e7",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{$json[\"_isNew\"]}}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "880f6698-0a30-4e65-8401-7d64ac043fe4",
"name": "fetch article",
"type": "n8n-nodes-base.httpRequest",
"position": [
1152,
-896
],
"parameters": {
"url": "={{$json[\"url\"]}}",
"options": {
"timeout": 8000,
"response": {
"response": {
"responseFormat": "text"
}
}
}
},
"typeVersion": 4.2
},
{
"id": "cf2066e8-5f49-4688-a5a0-2c0d7c191d36",
"name": "analyze with LLM",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1600,
-896
],
"parameters": {
"text": "=You are a precise news triager. Summarize (<=120 words), sentiment (positive|negative|neutral), up to 6 keywords, flags from [funding, acquisition, partnership, product_launch, regulation, hiring].\n\nTITLE: {{ $('parse HTML').item.json.title }}\nURL: {{ $('parse HTML').item.json.link }}\nTEXT: {{$json[\"text_for_llm\"]}}\n\nReturn JSON only:\n{\"summary\":\"\",\"sentiment\":\"\",\"keywords\":[],\"flags\":[]}",
"batching": {},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "ae6ca7e3-efac-4bb7-a161-423739d1ec83",
"name": "parse LLM JSON",
"type": "n8n-nodes-base.code",
"position": [
1952,
-896
],
"parameters": {
"jsCode": "return items.map(item => {\n const raw = item.json.text || item.json.data || item.json.output || '';\n let o = {};\n try { o = typeof raw === 'string' ? JSON.parse(raw) : raw; } catch {}\n item.json.summary = o.summary || '';\n item.json.sentiment = (o.sentiment || 'neutral').toLowerCase();\n item.json.keywords = Array.isArray(o.keywords) ? o.keywords : [];\n item.json.flags = Array.isArray(o.flags) ? o.flags : [];\n return item;\n});"
},
"typeVersion": 2
},
{
"id": "ccec8360-a00f-486e-a3c6-ef482a04b68c",
"name": "Relevant?",
"type": "n8n-nodes-base.if",
"position": [
2176,
-896
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "or",
"conditions": [
{
"id": "ef132948-33d8-475a-b876-a7c4cf1ac302",
"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{$json[\"sentiment\"]}}",
"rightValue": "neutral"
},
{
"id": "dd76bbc8-a056-4f58-a75f-1d5a38220224",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{$json[\"flags\"].join(\",\")}}",
"rightValue": "acquisition"
},
{
"id": "1f015b50-723d-4e58-943e-7cda07bd25f1",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{$json[\"flags\"].join(\",\")}}",
"rightValue": "funding"
},
{
"id": "5db4476c-c8ee-475d-9d0e-1b267b362fa3",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{$json[\"flags\"].join(\",\")}}",
"rightValue": "product_launch"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "be7cd945-61aa-4512-9d3d-28f8ce4cbfad",
"name": "send to Slack",
"type": "n8n-nodes-base.slack",
"position": [
2400,
-896
],
"parameters": {
"text": "=*News Alert* \ud83d\udcf0 \n*{{ $('RSS Feed').item.json.title }}* \n{{$json[\"summary\"]}} \n\nSentiment: {{$json[\"sentiment\"]}} \nFlags: {{ $json[\"flags\"].join(\", \") || \"\u2014\" }} \n\n<{{ $('RSS Feed').item.json.link }}>",
"select": "channel",
"channelId": {
"__rl": true,
"mode": "id",
"value": "ID"
},
"otherOptions": {
"includeLinkToWorkflow": false
}
},
"credentials": {
"slackApi": {
"name": "<your credential>"
}
},
"notesInFlow": true,
"typeVersion": 2.3
},
{
"id": "44220e76-0e66-43e3-8c4d-f4b0ae6d16e1",
"name": "RSS Feed",
"type": "n8n-nodes-base.rssFeedReadTrigger",
"position": [
256,
-896
],
"parameters": {
"feedUrl": "https://techcrunch.com/feed/",
"pollTimes": {
"item": [
{
"hour": 9
}
]
}
},
"typeVersion": 1
},
{
"id": "80032ebb-5641-4c04-8aed-ee82e7b23f9a",
"name": "Prepare LLM Input",
"type": "n8n-nodes-base.code",
"position": [
1376,
-896
],
"parameters": {
"jsCode": "return items.map(item => {\n const html = item.json.data || item.json.body || '';\n const plain = html\n .replace(/<script[\\s\\S]*?<\\/script>/gi, ' ')\n .replace(/<style[\\s\\S]*?<\\/style>/gi, ' ')\n .replace(/<[^>]+>/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n\n const txt = (plain && plain.length > 500 ? plain : item.json.text_rss).slice(0, 9000);\n item.json.text_for_llm = txt;\n item.json.data = txt;\n return item;\n});"
},
"typeVersion": 2
},
{
"id": "bd11a1a1-ad63-46ec-89d7-f07e3fc2b501",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
256,
-1104
],
"parameters": {
"color": 4,
"width": 432,
"content": "## How it works\n- Collects news from RSS feeds \n- Extracts and cleans article text \n- Sends text to LLM for analysis \n- Filters only relevant content \n- Posts alerts directly to Slack "
},
"typeVersion": 1
},
{
"id": "94b2ba0e-3e3d-4a65-8ce8-276a106f4f16",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
256,
-736
],
"parameters": {
"color": 4,
"width": 432,
"content": "## Setup steps\n1. Add your RSS feed URL in the **RSS Feed** node \n2. Configure your Slack Bot Token in the **Send to Slack** node \n3. Add your LLM (DeepSeek/OpenAI) API key in the **analyze with LLM** node \n4. Save & activate the workflow "
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "6fb7c8f1-01e6-4fa3-9ba6-71f70ab0d242",
"connections": {
"New?": {
"main": [
[
{
"node": "fetch article",
"type": "main",
"index": 0
}
]
]
},
"RSS Feed": {
"main": [
[
{
"node": "normalize & hash",
"type": "main",
"index": 0
}
]
]
},
"Relevant?": {
"main": [
[
{
"node": "send to Slack",
"type": "main",
"index": 0
}
]
]
},
"parse HTML": {
"main": [
[
{
"node": "New?",
"type": "main",
"index": 0
}
]
]
},
"fetch article": {
"main": [
[
{
"node": "Prepare LLM Input",
"type": "main",
"index": 0
}
]
]
},
"send to Slack": {
"main": [
[]
]
},
"parse LLM JSON": {
"main": [
[
{
"node": "Relevant?",
"type": "main",
"index": 0
}
]
]
},
"analyze with LLM": {
"main": [
[
{
"node": "parse LLM JSON",
"type": "main",
"index": 0
}
]
]
},
"normalize & hash": {
"main": [
[
{
"node": "parse HTML",
"type": "main",
"index": 0
}
]
]
},
"Prepare LLM Input": {
"main": [
[
{
"node": "analyze with LLM",
"type": "main",
"index": 0
}
]
]
},
"DeepSeek Chat Model": {
"ai_languageModel": [
[
{
"node": "analyze with LLM",
"type": "ai_languageModel",
"index": 0
}
]
]
}
}
}
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.
deepSeekApislackApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
This workflow fetches articles from any RSS feed, processes them with an AI model (DeepSeek), and sends only the most relevant alerts directly to Slack. Normalizes and deduplicates RSS items Extracts article text and cleans HTML Summarizes and classifies with AI (sentiment +…
Source: https://n8n.io/workflows/8131/ — original creator credit. Request a take-down →
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