This workflow follows the HTTP Request → Twitter 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 →
{
"name": "FootballAnalytics AI Brain Workflow",
"nodes": [
{
"parameters": {
"rule": {
"interval": [
{
"field": "hours",
"hoursInterval": 6
}
]
}
},
"id": "schedule-trigger",
"name": "Every 6 Hours",
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
220,
300
]
},
{
"parameters": {
"method": "GET",
"url": "https://footballanalytics.pro/api/matches",
"options": {
"response": {
"response": {
"responseFormat": "json"
}
}
}
},
"id": "get-todays-matches",
"name": "Get Today's Matches",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
440,
300
]
},
{
"parameters": {
"jsCode": "// Filter matches starting in next 12 hours\nconst now = new Date();\nconst in12Hours = new Date(now.getTime() + 12 * 60 * 60 * 1000);\n\nconst matches = $input.all()[0].json.matches || [];\n\nconst upcomingMatches = matches.filter(match => {\n const matchDate = new Date(match.datetime);\n return matchDate >= now && matchDate <= in12Hours;\n});\n\n// Return each match as separate item\nreturn upcomingMatches.map(match => ({\n json: match\n}));"
},
"id": "filter-upcoming",
"name": "Filter Upcoming Matches",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
660,
300
]
},
{
"parameters": {
"method": "POST",
"url": "https://footballanalytics.pro/api/analyze",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={{ JSON.stringify({ fixtureId: $json.fixtureId, mode: 'consensus' }) }}",
"options": {
"response": {
"response": {
"responseFormat": "json"
}
},
"timeout": 120000
}
},
"id": "analyze-match",
"name": "AI Brain Analysis",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
880,
300
]
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "high-confidence",
"leftValue": "={{ $json.analysis.overallConfidence }}",
"rightValue": 70,
"operator": {
"type": "number",
"operation": "gte"
}
}
],
"combinator": "and"
},
"options": {}
},
"id": "filter-high-confidence",
"name": "High Confidence?",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
1100,
300
]
},
{
"parameters": {
"jsCode": "// Format prediction for social media\nconst analysis = $input.first().json.analysis;\nconst match = $input.first().json;\n\nconst consensus = analysis.consensus;\nconst confidence = analysis.overallConfidence;\n\n// Emoji mapping\nconst resultEmoji = {\n '1': '\ud83c\udfe0',\n 'X': '\ud83e\udd1d',\n '2': '\u2708\ufe0f'\n};\n\nconst matchResult = consensus.matchResult.prediction;\nconst goalsOver = consensus.goals.over25;\nconst btts = consensus.btts.prediction;\n\n// Create tweet\nconst tweet = `\ud83e\udde0 AI PREDICTION \ud83e\udde0\n\n\u26bd ${match.homeTeam?.name || 'Home'} vs ${match.awayTeam?.name || 'Away'}\n\n${resultEmoji[matchResult]} Result: ${matchResult === '1' ? 'Home Win' : matchResult === 'X' ? 'Draw' : 'Away Win'} (${consensus.matchResult.confidence}%)\n\n\u26bd Goals: ${goalsOver ? 'Over 2.5' : 'Under 2.5'} (${consensus.goals.confidence}%)\n\n\ud83c\udfaf BTTS: ${btts ? 'Yes' : 'No'} (${consensus.btts.confidence}%)\n\n\ud83d\udcca Overall Confidence: ${confidence}%\n\n#FootballPredictions #AIBetting #SportsBetting`;\n\nreturn [{\n json: {\n tweet,\n fixtureId: match.fixtureId,\n confidence,\n analysis\n }\n}];"
},
"id": "format-social",
"name": "Format for Social Media",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1320,
200
]
},
{
"parameters": {
"authentication": "oAuth2",
"text": "={{ $json.tweet }}",
"options": {}
},
"id": "post-twitter",
"name": "Post to Twitter",
"type": "n8n-nodes-base.twitter",
"typeVersion": 2,
"position": [
1540,
200
],
"credentials": {
"twitterOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"method": "POST",
"url": "https://graph.facebook.com/v18.0/YOUR_PAGE_ID/feed",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "facebookGraphApi",
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "message",
"value": "={{ $json.tweet }}"
}
]
},
"options": {}
},
"id": "post-facebook",
"name": "Post to Facebook",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1540,
340
]
},
{
"parameters": {
"method": "POST",
"url": "https://api.telegram.org/bot{{ $credentials.telegramApi.token }}/sendMessage",
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "chat_id",
"value": "YOUR_TELEGRAM_CHANNEL_ID"
},
{
"name": "text",
"value": "={{ $json.tweet }}"
},
{
"name": "parse_mode",
"value": "HTML"
}
]
},
"options": {}
},
"id": "post-telegram",
"name": "Post to Telegram",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1540,
480
]
},
{
"parameters": {
"jsCode": "// Log low confidence predictions\nconst analysis = $input.first().json.analysis;\nconst match = $input.first().json;\n\nconsole.log(`Low confidence (${analysis.overallConfidence}%) for match:`, match.fixtureId);\n\nreturn [{\n json: {\n skipped: true,\n fixtureId: match.fixtureId,\n confidence: analysis.overallConfidence,\n reason: 'Below threshold'\n }\n}];"
},
"id": "log-skipped",
"name": "Log Skipped",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1320,
420
]
}
],
"connections": {
"Every 6 Hours": {
"main": [
[
{
"node": "Get Today's Matches",
"type": "main",
"index": 0
}
]
]
},
"Get Today's Matches": {
"main": [
[
{
"node": "Filter Upcoming Matches",
"type": "main",
"index": 0
}
]
]
},
"Filter Upcoming Matches": {
"main": [
[
{
"node": "AI Brain Analysis",
"type": "main",
"index": 0
}
]
]
},
"AI Brain Analysis": {
"main": [
[
{
"node": "High Confidence?",
"type": "main",
"index": 0
}
]
]
},
"High Confidence?": {
"main": [
[
{
"node": "Format for Social Media",
"type": "main",
"index": 0
}
],
[
{
"node": "Log Skipped",
"type": "main",
"index": 0
}
]
]
},
"Format for Social Media": {
"main": [
[
{
"node": "Post to Twitter",
"type": "main",
"index": 0
},
{
"node": "Post to Facebook",
"type": "main",
"index": 0
},
{
"node": "Post to Telegram",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1",
"saveManualExecutions": true,
"saveExecutionProgress": true,
"errorWorkflow": ""
},
"staticData": null,
"tags": [
{
"name": "Football Analytics"
}
],
"triggerCount": 1
}
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.
twitterOAuth2Api
Pro
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About this workflow
FootballAnalytics AI Brain Workflow. Uses httpRequest, twitter. Scheduled trigger; 10 nodes.
Source: https://github.com/serayd61/football-match-analyzer/blob/842ecd37e06ec6f39009da3cd8db27baa21e4dd8/n8n/ai-brain-workflow.json — original creator credit. Request a take-down →
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