This workflow follows the Datatable → 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 →
{
"nodes": [
{
"parameters": {
"rule": {
"interval": [
{
"field": "hours",
"triggerAtMinute": 3
}
]
}
},
"id": "ee53ecaf-abe3-460f-98bd-07d9c946314c",
"name": "Cron Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-1136,
608
],
"typeVersion": 1.2
},
{
"parameters": {
"jsCode": "// return $input.all()\n\n// \u83b7\u53d6\u6240\u6709\u7f13\u5b58\u5217\u8868\nlet cacheList = $input.all();\n\nlet unReadRssList = $('RsshubGet').all()\n// \u6253\u5370\u9700\u8981\u5728\u6d4f\u89c8\u5668console\u67e5\u770b\nconsole.log('cacheList:', cacheList) \nconsole.log('unReadRssList:', unReadRssList)\n// return \u5fc5\u987b\u662f\u4e00\u4e2a\u5e26\u5bf9\u8c61\u7684json,\u4e0d\u80fd\u662fstring[]\nlet resultList = unReadRssList\n .filter(item => {\n console.log(\"item: \", item.json.title)\n return !cacheList.some(cacheItem => cacheItem.json.title === item.json.title)\n })\n// resultList.push({json: {\"title\": 'test2'}})\nreturn resultList\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-448,
608
],
"id": "aead5a51-52b4-4c9d-975d-9563f41d94e3",
"name": "FilterNew",
"alwaysOutputData": true
},
{
"parameters": {
"url": "=https://rsshub.xxx.com/epicgames/freegames/en-US/US",
"options": {
"ignoreSSL": false
}
},
"type": "n8n-nodes-base.rssFeedRead",
"typeVersion": 1.1,
"position": [
-880,
608
],
"id": "ea73f8de-b877-4810-b9d6-c956d76b5528",
"name": "RsshubGet",
"onError": "continueRegularOutput"
},
{
"parameters": {
"jsCode": "console.log('AI output\uff1a', $input.all())\n// \u79fb\u9664\u5916\u5c42output\nlet result = $input.all().map(item => {\n return item.json.output\n})\n\nreturn result"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
400,
592
],
"id": "563b3430-32fc-4d6a-9b63-399dcaf330d6",
"name": "FormatAIOutput",
"alwaysOutputData": true
},
{
"parameters": {
"jsCode": "// return $input.all().splice(0, 3).filter(item => Boolean(item.json.link))\nreturn $input.all().filter(item => Boolean(item.json.title))"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-160,
608
],
"id": "66e53850-0eb1-4a83-9aad-ce0304c979aa",
"name": "FilterNullObject",
"alwaysOutputData": false
},
{
"parameters": {
"method": "POST",
"url": "https://pusher.xxx.com/webhook/xxx",
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "content",
"value": "=\ud83c\udfc6 Epic \u559c\u52a0\u4e00\n\ud83d\udd79\ufe0f {{ $json.title_en }}\n\ud83d\udcdd {{ $json.description }} \n\ud83c\udf10 {{ $json.link }}"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.3,
"position": [
688,
672
],
"id": "32a8770f-2f61-4323-8615-082504d23cf7",
"name": "\u63a8\u9001\u5230TG"
},
{
"parameters": {
"operation": "get",
"dataTableId": {
"__rl": true,
"value": "vmMVnyry917iahnF",
"mode": "list",
"cachedResultName": "epic",
"cachedResultUrl": "/projects/67mC9JYeQ8KrO6ni/datatables/vmMVnyry917iahnF"
},
"filters": {
"conditions": [
{
"keyName": "title",
"keyValue": "={{ $json.title }}"
}
]
}
},
"type": "n8n-nodes-base.dataTable",
"typeVersion": 1,
"position": [
-656,
608
],
"id": "24d8beff-b1d8-4df5-864f-758452e7e3a0",
"name": "Get row(s)",
"alwaysOutputData": true
},
{
"parameters": {
"dataTableId": {
"__rl": true,
"value": "vmMVnyry917iahnF",
"mode": "list",
"cachedResultName": "epic",
"cachedResultUrl": "/projects/67mC9JYeQ8KrO6ni/datatables/vmMVnyry917iahnF"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"title": "={{ $json.title_en }}"
},
"matchingColumns": [
"repo_title"
],
"schema": [
{
"id": "type",
"displayName": "type",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "title",
"displayName": "title",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.dataTable",
"typeVersion": 1,
"position": [
672,
464
],
"id": "12e65a26-3cde-404d-8164-38ad8810a253",
"name": "Insert row"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "git-gpt-4o-mini",
"mode": "list",
"cachedResultName": "git-gpt-4o-mini"
},
"options": {
"temperature": 0.5
}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
112,
704
],
"id": "67b295c8-dd6b-4459-8de2-573c9f8dc040",
"name": "AI Model",
"notesInFlow": false,
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"text": "=title: {{ $json.title }} \ntitle_en: {{ $json.title }} \nauthor: {{ $json.author }}\nlink: {{ $json.link }}\ndesc: {{ $json.contentSnippet }}",
"attributes": {
"attributes": [
{
"name": "description",
"description": "Chinese description",
"required": true
},
{
"name": "=link",
"description": "=link",
"required": true
},
{
"name": "title",
"description": "=title",
"required": true
},
{
"name": "title_en",
"description": "title_en",
"required": true
},
{
"name": "deadline",
"description": "deadline",
"required": true
}
]
},
"options": {
"systemPromptTemplate": "\u60a8\u662f\u4e00\u4f4d\u6587\u672c\u4fe1\u606f\u63d0\u53d6\u4e13\u5bb6\u3002\u8bf7\u6839\u636e\u4ee5\u4e0b\u8981\u6c42\uff0c\u4ece\u6587\u672c\u4e2d\u63d0\u53d6\u548c\u603b\u7ed3\u6709\u7528\u7684\u4fe1\u606f\uff1a\n\n1. \u63d0\u53d6\u6587\u672c\u4e2d\u51fa\u73b0\u7684\u91cd\u8981\u5c5e\u6027\uff08\u5982\u9879\u76ee\u540d\u79f0\u3001\u4e3b\u8981\u5185\u5bb9\u3001\u6d89\u53ca\u7684\u6280\u672f\u6216\u6a21\u578b\u3001\u4f7f\u7528\u7684\u7f16\u7a0b\u8bed\u8a00\uff09\u3002\n2. \u5982\u679c\u6587\u672c\u4e3a\u975e\u4e2d\u6587\uff0c\u8bf7\u5148\u7ffb\u8bd1\u6210\u4e2d\u6587\u518d\u8fdb\u884c\u603b\u7ed3\u3002\n3. \u7528\u7b80\u660e\u7684\u4e2d\u6587\u81ea\u7136\u8bed\u8a00\uff0c\u5c06\u8fd9\u4e9b\u5173\u952e\u4fe1\u606f\u52a0\u4e0e\u81ea\u7136\u63cf\u8ff0\u3002\u5982\u679c\u67d0\u4e9b\u5c5e\u6027\u65e0\u6cd5\u5224\u65ad\u6216\u4e0d\u660e\u786e\uff0c\u53ef\u4ee5\u4fdd\u6301\u539f\u6587\u63cf\u8ff0\u6216\u76f4\u63a5\u8bf4\u660e\u3002\u5bf9\u4e8e\u67d0\u4e9btitle\uff0c\u4e0d\u9700\u8981\u7ffb\u8bd1\uff0c\u4f8b\u5982\u6e38\u620f\u540d\u79f0\u3002\n4. \u4e0d\u8981\u7528\u8fd9\u662f\uff0c\u8fd9\u4e2a\u7b49\u5f00\u5934\uff0c\u5c3d\u91cf\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\u3002\n"
}
},
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"typeVersion": 1,
"position": [
48,
480
],
"id": "ca1e13c1-f15d-48ec-8dda-5c97c89f9df3",
"name": "AI-Analysis",
"retryOnFail": true,
"waitBetweenTries": 5000,
"notesInFlow": false,
"alwaysOutputData": true,
"executeOnce": false,
"maxTries": 5,
"onError": "continueRegularOutput"
}
],
"connections": {
"Cron Trigger": {
"main": [
[
{
"node": "RsshubGet",
"type": "main",
"index": 0
}
]
]
},
"FilterNew": {
"main": [
[
{
"node": "FilterNullObject",
"type": "main",
"index": 0
}
]
]
},
"RsshubGet": {
"main": [
[
{
"node": "Get row(s)",
"type": "main",
"index": 0
}
]
]
},
"FormatAIOutput": {
"main": [
[
{
"node": "Insert row",
"type": "main",
"index": 0
},
{
"node": "\u63a8\u9001\u5230TG",
"type": "main",
"index": 0
}
]
]
},
"FilterNullObject": {
"main": [
[
{
"node": "AI-Analysis",
"type": "main",
"index": 0
}
]
]
},
"Get row(s)": {
"main": [
[
{
"node": "FilterNew",
"type": "main",
"index": 0
}
]
]
},
"AI Model": {
"ai_languageModel": [
[
{
"node": "AI-Analysis",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"AI-Analysis": {
"main": [
[
{
"node": "FormatAIOutput",
"type": "main",
"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.
openAiApi
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Epic. Uses rssFeedRead, httpRequest, dataTable, lmChatOpenAi. Scheduled trigger; 10 nodes.
Source: https://gist.github.com/chaos-zhu/12bc9aa2acd582fb2fe51a97d04ec10a — 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.
Deduplicate Scraping Ai Grants For Eligibility Using Ai. Uses splitOut, httpRequest, lmChatOpenAi, informationExtractor. Scheduled trigger; 24 nodes.
This n8n template scrapes a list of AI grants from grants.gov and qualifies them using AI; determining interest and eligibility for the business. It then sends an email alert of interesting items to t
2619. Uses httpRequest, lmChatOpenAi, informationExtractor, airtable. Scheduled trigger; 24 nodes.
This n8n workflow automates domain level keyword ranking analysis and enriches raw SEO metrics with AI-generated summaries. It combines structured keyword data from SE Ranking with natural-language in
Sign up for Decodo — get better pricing here