Arunava This workflow corresponds to n8n.io template #7217 — 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 →
{
"id": "tMStkA8LDIhkaCcF",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Multi-agent Intelligent Reddit Automation by Arunava",
"tags": [
{
"id": "DDbFuPgB9dn2WGr3",
"name": "Reddit",
"createdAt": "2025-08-10T11:38:34.764Z",
"updatedAt": "2025-08-10T11:38:34.764Z"
},
{
"id": "g7moK2McYEReOutq",
"name": "GEO",
"createdAt": "2025-08-16T09:26:24.096Z",
"updatedAt": "2025-08-16T09:26:24.096Z"
}
],
"nodes": [
{
"id": "0a3f4382-7dae-4199-87ad-a0048c8359c6",
"name": "Schedule Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-16,
16
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "042435f1-9561-4b6b-85cc-032ca94324f0",
"name": "Search for a post",
"type": "n8n-nodes-base.reddit",
"position": [
240,
16
],
"parameters": {},
"typeVersion": 1
},
{
"id": "5576d6c4-eac2-4655-b2cb-264305a798ad",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"onError": "continueRegularOutput",
"position": [
1808,
16
],
"parameters": {},
"typeVersion": 2
},
{
"id": "8fef64ee-96ca-4a30-8342-66f9a9f9d929",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1792,
256
],
"parameters": {},
"typeVersion": 1
},
{
"id": "8a0c0fc0-cfd7-47a3-8c54-31411e77c68b",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
2112,
256
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "0d6b0645-34c0-44b0-b056-e7708c35952b",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"position": [
512,
16
],
"parameters": {},
"typeVersion": 3
},
{
"id": "5a3c7d24-b2ca-49a7-bbeb-0211078b2832",
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
256,
304
],
"parameters": {},
"typeVersion": 2.2
},
{
"id": "9c557675-1d51-429d-abe1-671e10f8b7c3",
"name": "AI Agent1",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
544,
304
],
"parameters": {},
"typeVersion": 2
},
{
"id": "b2d82149-f64e-4d1d-9d64-a7130058f2d0",
"name": "Google Gemini Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
544,
528
],
"parameters": {},
"typeVersion": 1
},
{
"id": "1c24e125-87d3-4cac-a20b-287359e26986",
"name": "Simple Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
848,
544
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "37c357e1-0e13-4537-b28c-6b655f797f9a",
"name": "HTTP Request",
"type": "n8n-nodes-base.httpRequest",
"position": [
1072,
304
],
"parameters": {},
"typeVersion": 4.2
},
{
"id": "222787a5-bc2d-44ba-824c-66dabfdadd6b",
"name": "Wait",
"type": "n8n-nodes-base.wait",
"position": [
1520,
16
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "7db2aef6-1152-469a-bc32-5d915c73822f",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-80,
-80
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "8c4ae7d0-1ee0-4a22-85b0-d36dcdb9530f",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
176,
-80
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "9a715e10-04bf-4575-8ddc-80eaa3e301a8",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
448,
-80
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "facd9195-a1aa-4618-a33e-efaf2be0cf52",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
720,
-80
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "418a4931-dbf9-4c4d-8fa9-6255d240f743",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1184,
-80
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "75be2c15-0fea-481d-8e63-7c870f22650f",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1728,
-80
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "5ceb4549-6687-43ac-b4f3-36221a84dddb",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-80,
208
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "b5feaa38-8db8-4297-9340-2dc1d2447b16",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
192,
208
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "10426aa7-cb96-4091-8240-714bbbec6990",
"name": "Sticky Note8",
"type": "n8n-nodes-base.stickyNote",
"position": [
464,
208
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "7d5cc545-e944-486b-b6d2-cf5121c45843",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
1008,
208
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "3a227d99-013d-4983-9e8d-f5f1b3094891",
"name": "Sticky Note10",
"type": "n8n-nodes-base.stickyNote",
"position": [
1280,
208
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "f961314a-20b5-45b8-acdc-31a5e0fe4440",
"name": "Anthropic Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
1952,
256
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "3804348d-1ad6-4473-80ed-9d19004d48d8",
"name": "Anthropic Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
704,
528
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "de39d181-bf03-4f05-b467-1d055a734ed0",
"name": "Sticky Note11",
"type": "n8n-nodes-base.stickyNote",
"position": [
1456,
-80
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "43739193-e6be-490c-b075-efdbf1c9139c",
"name": "Sticky Note12",
"type": "n8n-nodes-base.stickyNote",
"position": [
1280,
480
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "9f862eb0-bdea-4dee-b568-7a7d412734aa",
"name": "Sticky Note13",
"type": "n8n-nodes-base.stickyNote",
"position": [
1008,
496
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "da15d5d6-6c3b-4162-b157-9242b3c3f609",
"name": "Check Baserow for duplicate post",
"type": "n8n-nodes-base.httpRequest",
"position": [
784,
16
],
"parameters": {},
"typeVersion": 4.2
},
{
"id": "4db24f06-eb53-480c-b667-b69180bb2dae",
"name": "Filter",
"type": "n8n-nodes-base.code",
"position": [
992,
16
],
"parameters": {},
"typeVersion": 2
},
{
"id": "0ff2aebf-76e8-487c-b20a-35dfa8a942f0",
"name": "Filter Replied Posts",
"type": "n8n-nodes-base.if",
"position": [
1248,
16
],
"parameters": {},
"typeVersion": 2.2
},
{
"id": "57565fe1-9804-4537-9396-9728494a9da6",
"name": "Structure Output",
"type": "n8n-nodes-base.set",
"position": [
-16,
304
],
"parameters": {},
"typeVersion": 3.4
},
{
"id": "d43bae19-6d8e-4c2f-b352-24d865173cfb",
"name": "Add Post Details on Baserow",
"type": "n8n-nodes-base.baserow",
"position": [
1072,
592
],
"parameters": {},
"typeVersion": 1
},
{
"id": "fbab05be-4b65-402f-9c3d-a8191d51cac6",
"name": "Wait to avoid hitting api limit",
"type": "n8n-nodes-base.wait",
"position": [
1344,
576
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "10fa6043-7b34-4f3f-8bd1-e0d15814e3bd",
"name": "Map Output in Structure",
"type": "n8n-nodes-base.set",
"position": [
1344,
304
],
"parameters": {},
"typeVersion": 3.4
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "d9e8f083-638d-4c92-a575-c096c842b0c5",
"connections": {
"If": {
"main": [
[
{
"node": "AI Agent1",
"type": "main",
"index": 0
}
],
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Wait": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Filter": {
"main": [
[
{
"node": "Filter Replied Posts",
"type": "main",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "Structure Output",
"type": "main",
"index": 0
}
]
]
},
"AI Agent1": {
"main": [
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request": {
"main": [
[
{
"node": "Map Output in Structure",
"type": "main",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "AI Agent1",
"type": "ai_memory",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "Check Baserow for duplicate post",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "Search for a post",
"type": "main",
"index": 0
}
]
]
},
"Structure Output": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"Search for a post": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Anthropic Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 1
}
]
]
},
"Filter Replied Posts": {
"main": [
[
{
"node": "Wait",
"type": "main",
"index": 0
}
],
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Anthropic Chat Model1": {
"ai_languageModel": [
[
{
"node": "AI Agent1",
"type": "ai_languageModel",
"index": 1
}
]
]
},
"Map Output in Structure": {
"main": [
[
{
"node": "Add Post Details on Baserow",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "AI Agent",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Google Gemini Chat Model1": {
"ai_languageModel": [
[
{
"node": "AI Agent1",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Add Post Details on Baserow": {
"main": [
[
{
"node": "Wait to avoid hitting api limit",
"type": "main",
"index": 0
}
]
]
},
"Wait to avoid hitting api limit": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Check Baserow for duplicate post": {
"main": [
[
{
"node": "Filter",
"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
Lead gen without spam: drop helpful replies where your audience hangs out. Get discovered by AI surfaces (AI Overviews / SGE, AISEO/GSEO) via high-quality brand mentions. Customer support in the wild: answer troubleshooting threads fast. Community presence: steady, non-salesy…
Source: https://n8n.io/workflows/7217/ — 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.
This workflow is for beauty salons who want consistent, high‑quality social media content without writing every post manually. It also suits agencies and automation builders who manage multiple beauty
Telegram, Google Sheets Trigger, Agent +26
ModelRouter. Uses chatTrigger, agent, modelSelector, httpRequest. Chat trigger; 28 nodes.
Chat Trigger, Agent, Model Selector +8
Automate your deal hunting with this intelligent Amazon price tracker. This workflow uses the power of AI to monitor any Amazon product page at regular intervals. When the price drops to or below your
Agent, Google Gemini Chat, Memory Buffer Window +3
⏺ 🚀 How it works
Agent, Anthropic Chat, Output Parser Structured +6
LinkedIn_Job_Hunt_and_Cover_Letter. Uses outputParserStructured, outputParserAutofixing, googleDrive, agent. Scheduled trigger; 85 nodes.
Output Parser Structured, Output Parser Autofixing, Google Drive +6