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": "Louis LinkedIn Automation OS",
"nodes": [
{
"parameters": {
"rule": {
"interval": [
{
"field": "cronExpression",
"expression": "0 8 * * 1,3,5"
}
]
}
},
"id": "schedule-trigger",
"name": "\ud83d\udcc5 Schedule Trigger (Mon/Wed/Fri 8am)",
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1,
"position": [
240,
300
]
},
{
"parameters": {
"jsCode": "const skipToday = Math.random() < 0.1;\nif (skipToday) { console.log('Randomly skipping today'); return []; }\nreturn [{ json: { skip: false, timestamp: new Date().toISOString() } }];"
},
"id": "randomize-timing",
"name": "\ud83c\udfb2 Randomize Timing (Anti-Detection)",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
460,
300
]
},
{
"parameters": {
"jsCode": "const { execSync } = require('child_process');\nconst output = execSync('node -r dotenv/config content-generator.js generate-scheduled', { cwd: 'C:/Users/FX/Downloads/LINKEDIN', encoding: 'utf8' });\nreturn [{ json: { stdout: output } }];"
},
"id": "generate-content",
"name": "\ud83e\udd16 Generate Post (Claude API)",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
680,
300
]
},
{
"parameters": {
"jsCode": "const output = $input.first().json.stdout;\nconst lines = output.trim().split('\\n');\nconst jsonLine = lines.find(line => line.trim().startsWith('{'));\nif (!jsonLine) throw new Error('No JSON found in output: ' + output);\nconst parsed = JSON.parse(jsonLine);\nif (!parsed.content || parsed.content.length < 50) throw new Error('Content too short or missing');\nconsole.log('Post type:', parsed.type, '| Topic:', parsed.topic);\nreturn [{ json: parsed }];"
},
"id": "parse-content",
"name": "Parse Generated Content",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
900,
300
]
},
{
"parameters": {
"operation": "append",
"documentId": {
"__rl": true,
"value": "1c9Txq2uD9JEY_SUdQ7NN7FlwG_ZQf_wtJ3xhfaBTCxg",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": "Posts Queue",
"mode": "name"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"content": "={{ $json.content }}",
"topic": "={{ $json.topic }}",
"type": "={{ $json.type }}",
"status": "pending_review",
"generated_at": "={{ $json.generatedAt }}"
}
}
},
"id": "save-for-review",
"name": "\ud83d\udcbe Save for Review",
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4,
"position": [
1120,
300
]
},
{
"parameters": {
"rule": {
"interval": [
{
"field": "cronExpression",
"expression": "*/30 * * * *"
}
]
}
},
"id": "check-approved-schedule",
"name": "\u23f0 Check for Approved Posts (Every 30 min)",
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1,
"position": [
240,
600
]
},
{
"parameters": {
"operation": "read",
"documentId": {
"__rl": true,
"value": "1c9Txq2uD9JEY_SUdQ7NN7FlwG_ZQf_wtJ3xhfaBTCxg",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": "Posts Queue",
"mode": "name"
},
"options": {}
},
"id": "read-posts-queue",
"name": "\ud83d\udccb Read Posts Queue",
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4,
"position": [
460,
600
]
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": false
},
"conditions": [
{
"leftValue": "={{ $json.status }}",
"rightValue": "approved",
"operator": {
"type": "string",
"operation": "equals"
}
}
]
}
},
"id": "filter-approved",
"name": "\u2705 Only Approved Posts",
"type": "n8n-nodes-base.filter",
"typeVersion": 2,
"position": [
680,
600
]
},
{
"parameters": {
"batchSize": 1,
"options": {}
},
"id": "process-one-by-one",
"name": "\ud83d\udd00 Process One by One",
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 3,
"position": [
900,
600
]
},
{
"parameters": {
"jsCode": "const { spawn, execSync } = require('child_process');\nconst fs = require('fs');\n\n// Load .env (process.env not available in n8n sandbox)\nconst dotenv = {};\ntry {\n const envContent = fs.readFileSync('C:/Users/FX/Downloads/LINKEDIN/.env', 'utf8');\n envContent.split('\\n').forEach(line => {\n const match = line.match(/^([A-Z_0-9]+)=(.+)$/);\n if (match) dotenv[match[1]] = match[2].trim();\n });\n} catch(e) {}\n\nconst row = $input.first().json;\nconst content = row.content;\nconst topic = row.topic || 'business automation';\nif (!content) throw new Error('No content in approved row');\n\n// Write post content\nfs.writeFileSync('C:/Users/FX/Downloads/LINKEDIN/playwright/pending-post.txt', content, 'utf8');\nfs.writeFileSync('C:/Users/FX/Downloads/LINKEDIN/playwright/post-result.json', JSON.stringify({ status: 'running', startedAt: new Date().toISOString() }), 'utf8');\n\n// Use pre-generated image from Telegram preview \u2014 skip regenerating\nconst imgPath = 'C:/Users/FX/Downloads/LINKEDIN/playwright/pending-image.png';\nif (fs.existsSync(imgPath)) {\n console.log('Using pre-generated Nano Banana 2 image from Telegram preview');\n} else {\n try {\n const safeT = topic.replace(/[\"\\n]/g, ' ');\n const safeC = content.substring(0, 200).replace(/[\"\\n]/g, ' ');\n execSync('node image-generator.js \"' + safeT + '\" \"' + safeC + '\"', {\n cwd: 'C:/Users/FX/Downloads/LINKEDIN/playwright',\n timeout: 30000\n });\n console.log('Image generated successfully');\n } catch (imgErr) {\n console.log('Image generation failed (will post text only):', imgErr.message);\n }\n}\n\n// Spawn playwright to post\nconst child = spawn('node', ['-r', 'dotenv/config', 'linkedin-poster.js', 'post'], {\n cwd: 'C:/Users/FX/Downloads/LINKEDIN/playwright',\n detached: true,\n stdio: 'ignore',\n windowsHide: true\n});\nchild.unref();\n\nreturn [{ json: { ...row, status: 'posting', postedAt: new Date().toISOString() } }];"
},
"id": "publish-approved",
"name": "\ud83d\ude80 Publish Approved Post",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1120,
600
]
},
{
"parameters": {
"operation": "update",
"documentId": {
"__rl": true,
"value": "1c9Txq2uD9JEY_SUdQ7NN7FlwG_ZQf_wtJ3xhfaBTCxg",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": "Posts Queue",
"mode": "name"
},
"columns": {
"mappingMode": "defineBelow",
"matchingColumns": [
"generated_at"
],
"value": {
"generated_at": "={{ $json.generated_at }}",
"status": "posting"
}
},
"options": {}
},
"id": "mark-as-posting",
"name": "\ud83d\udcdd Mark as Posting",
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4,
"position": [
1340,
600
]
},
{
"parameters": {
"httpMethod": "POST",
"path": "linkedin-post-webhook",
"options": {}
},
"id": "manual-webhook",
"name": "\ud83d\udd17 Manual Post Webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
240,
900
]
},
{
"parameters": {
"jsCode": "const { execSync } = require('child_process');\nconst topic = $input.first().json.body.topic;\nconst type = $input.first().json.body.type || 'viral';\nconst cmd = 'node -r dotenv/config content-generator.js generate-custom \"' + topic + '\" ' + type;\nconst output = execSync(cmd, { cwd: 'C:/Users/FX/Downloads/LINKEDIN', encoding: 'utf8' });\nreturn [{ json: { stdout: output } }];"
},
"id": "generate-custom-post",
"name": "Generate Custom Post",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
460,
900
]
},
{
"parameters": {
"rule": {
"interval": [
{
"field": "cronExpression",
"expression": "0 10 * * 2,4"
}
]
}
},
"id": "connection-schedule",
"name": "\ud83d\udcc5 Connection Schedule (Tue/Thu 10am)",
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1,
"position": [
240,
1200
]
},
{
"parameters": {
"jsCode": "const dailyLimit = Math.floor(Math.random() * 6) + 10;\nreturn [{ json: { dailyLimit, date: new Date().toISOString() } }];"
},
"id": "set-daily-limit",
"name": "Set Daily Connection Limit",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
460,
1200
]
},
{
"parameters": {
"operation": "read",
"documentId": {
"__rl": true,
"value": "1c9Txq2uD9JEY_SUdQ7NN7FlwG_ZQf_wtJ3xhfaBTCxg",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": "Target Profiles",
"mode": "name"
},
"options": {}
},
"id": "read-target-profiles",
"name": "\ud83d\udccb Read Target Profiles",
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4,
"position": [
680,
1200
]
},
{
"parameters": {
"jsCode": "const { spawn } = require('child_process');\nconst fs = require('fs');\nconst item = $input.first().json;\n\n// Write FULL content to file \u2014 telegram-sender.js will read this\ntry {\n fs.writeFileSync(\n 'C:/Users/FX/Downloads/LINKEDIN/playwright/pending-preview.json',\n JSON.stringify({\n topic: item.topic || '',\n content: item.content || '',\n imagePrompt: (() => { let p = item.imagePrompt || ''; if (!p) { try { p = $('Parse Generated Content').first().json.imagePrompt || ''; } catch(e) {} } return p; })(),\n generatedAt: item.generatedAt || new Date().toISOString()\n }),\n 'utf8'\n );\n console.log('\ud83d\udcc4 Wrote pending-preview.json (' + (item.content || '').length + ' chars)');\n} catch(e) {\n console.log('Could not write pending-preview.json:', e.message);\n}\n\n// Spawn as DETACHED background process \u2014 image generation takes 30-50s\n// Using execSync would block n8n runner until timeout kills it\nconst child = spawn('node', ['telegram-sender.js'], {\n cwd: 'C:/Users/FX/Downloads/LINKEDIN/playwright',\n detached: true,\n stdio: 'ignore',\n windowsHide: true\n});\nchild.unref();\n\nconsole.log('\ud83d\udcf1 Telegram sender launched in background for:', item.topic);\nreturn [{ json: item }];"
},
"id": "send-telegram-preview",
"name": "\ud83d\udcf1 Send Telegram Preview",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1340,
300
]
},
{
"parameters": {
"jsCode": "const fs = require('fs');\nconst queueFile = 'C:/Users/FX/Downloads/LINKEDIN/playwright/telegram-queue.json';\n\nlet queue = [];\ntry { queue = JSON.parse(fs.readFileSync(queueFile, 'utf8')); } catch(e) {}\n\nconst rows = $input.all();\nif (!queue.length) return rows;\n\nconst updatedRows = rows.map(row => {\n const match = queue.find(q => q.postId === row.json.generated_at);\n if (match) {\n const newStatus = match.action === 'approve' ? 'approved' : 'skipped';\n console.log('\ud83d\udd04 Telegram action:', match.action, '\u2192', row.json.topic);\n return { json: { ...row.json, status: newStatus } };\n }\n return row;\n});\n\nconst processedIds = rows.map(r => r.json.generated_at).filter(Boolean);\nconst remaining = queue.filter(q => !processedIds.includes(q.postId));\nfs.writeFileSync(queueFile, JSON.stringify(remaining, null, 2), 'utf8');\n\nreturn updatedRows;"
},
"id": "merge-telegram-approvals",
"name": "\ud83d\udd04 Merge Telegram Approvals",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
570,
600
]
},
{
"parameters": {
"rule": {
"interval": [
{
"field": "seconds",
"secondsInterval": 120
}
]
}
},
"id": "telegram-poller",
"name": "\u23f1\ufe0f Telegram Poller (every 2 min)",
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1,
"position": [
240,
1500
]
},
{
"parameters": {
"jsCode": "const https = require('https');\nconst fs = require('fs');\n\nconst dotenv = {};\ntry {\n const envContent = fs.readFileSync('C:/Users/FX/Downloads/LINKEDIN/.env', 'utf8');\n envContent.split('\\n').forEach(line => {\n const match = line.match(/^([A-Z_0-9]+)=(.+)$/);\n if (match) dotenv[match[1]] = match[2].trim();\n });\n} catch(e) {}\n\nconst token = dotenv.TELEGRAM_BOT_TOKEN;\nif (!token) { console.log('No TELEGRAM_BOT_TOKEN'); return [{ json: { processed: 0 } }]; }\n\nconst offsetFile = 'C:/Users/FX/Downloads/LINKEDIN/playwright/telegram-offset.json';\nconst queueFile = 'C:/Users/FX/Downloads/LINKEDIN/playwright/telegram-queue.json';\n\nlet offset = 0;\ntry { offset = JSON.parse(fs.readFileSync(offsetFile, 'utf8')).offset || 0; } catch(e) {}\n\nconst updates = await new Promise((resolve) => {\n const req = https.request({\n hostname: 'api.telegram.org',\n path: '/bot' + token + '/getUpdates?offset=' + offset + '&timeout=1&allowed_updates=%5B%22callback_query%22%5D',\n method: 'GET'\n }, (res) => {\n let data = '';\n res.on('data', chunk => data += chunk);\n res.on('end', () => { try { resolve(JSON.parse(data)); } catch(e) { resolve({ ok: false, result: [] }); } });\n });\n req.on('error', () => resolve({ ok: false, result: [] }));\n req.end();\n});\n\nif (!updates.ok || !updates.result || !updates.result.length) {\n return [{ json: { processed: 0 } }];\n}\n\nlet queue = [];\ntry { queue = JSON.parse(fs.readFileSync(queueFile, 'utf8')); } catch(e) {}\n\nlet processed = 0;\nfor (const update of updates.result) {\n const cb = update.callback_query;\n if (!cb) { offset = update.update_id + 1; continue; }\n\n const parts = (cb.data || '').split('|');\n const action = parts[0];\n const postId = parts.slice(1).join('|');\n\n if (action && postId) {\n queue.push({ action, postId, processedAt: new Date().toISOString() });\n processed++;\n console.log('\ud83d\udcec Telegram action:', action, 'for post:', postId.substring(0, 20));\n }\n\n const answerText = action === 'approve' ? 'Posting now! Ready in ~7 min...' : 'Skipped!';\n const answerBody = JSON.stringify({ callback_query_id: cb.id, text: answerText });\n await new Promise((resolve) => {\n const req = https.request({\n hostname: 'api.telegram.org',\n path: '/bot' + token + '/answerCallbackQuery',\n method: 'POST',\n headers: { 'Content-Type': 'application/json', 'Content-Length': Buffer.byteLength(answerBody) }\n }, () => resolve());\n req.on('error', () => resolve());\n req.write(answerBody);\n req.end();\n });\n\n offset = update.update_id + 1;\n}\n\nfs.writeFileSync(queueFile, JSON.stringify(queue, null, 2), 'utf8');\nfs.writeFileSync(offsetFile, JSON.stringify({ offset }), 'utf8');\n\nconsole.log('\ud83d\udcec Processed ' + processed + ' updates, queue: ' + queue.length);\nreturn [{ json: { processed, queueSize: queue.length } }];"
},
"id": "process-telegram-updates",
"name": "\ud83d\udcec Process Telegram Updates",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
460,
1500
]
},
{
"parameters": {
"batchSize": 1,
"options": {}
},
"id": "split-profiles",
"name": "Split Profiles One by One",
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 3,
"position": [
900,
1200
]
},
{
"parameters": {
"amount": 60,
"unit": "minutes"
},
"id": "delay-between-connections",
"name": "\u23f1 Human Delay (60 min)",
"type": "n8n-nodes-base.wait",
"typeVersion": 1,
"position": [
1120,
1200
]
},
{
"parameters": {
"jsCode": "const { execSync } = require('child_process');\nconst item = $input.first().json;\nconst targetInfo = item.name + ', ' + item.title + ' at ' + item.company;\nconst connType = item.connection_type || 'founder';\nconst cmd = 'node -r dotenv/config content-generator.js generate-connection \"' + targetInfo + '\" ' + connType;\nconst output = execSync(cmd, { cwd: 'C:/Users/FX/Downloads/LINKEDIN', encoding: 'utf8' });\nconst parsed = JSON.parse(output);\nreturn [{ json: { ...item, message: parsed.message } }];"
},
"id": "generate-connection-msg",
"name": "Generate Connection Message",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1340,
1200
]
},
{
"parameters": {
"jsCode": "const { execSync } = require('child_process');\nconst item = $input.first().json;\nconst cmd = 'node -r dotenv/config linkedin-poster.js connect \"' + item.profile_url + '\" \"' + (item.message || '') + '\"';\nconst output = execSync(cmd, { cwd: 'C:/Users/FX/Downloads/LINKEDIN/playwright', encoding: 'utf8' });\nreturn [{ json: { stdout: output } }];"
},
"id": "send-connection",
"name": "Send Connection Request",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1560,
1200
]
}
],
"connections": {
"\ud83d\udcc5 Schedule Trigger (Mon/Wed/Fri 8am)": {
"main": [
[
{
"node": "\ud83c\udfb2 Randomize Timing (Anti-Detection)",
"type": "main",
"index": 0
}
]
]
},
"\ud83c\udfb2 Randomize Timing (Anti-Detection)": {
"main": [
[
{
"node": "\ud83e\udd16 Generate Post (Claude API)",
"type": "main",
"index": 0
}
]
]
},
"\ud83e\udd16 Generate Post (Claude API)": {
"main": [
[
{
"node": "Parse Generated Content",
"type": "main",
"index": 0
}
]
]
},
"Parse Generated Content": {
"main": [
[
{
"node": "\ud83d\udcbe Save for Review",
"type": "main",
"index": 0
}
]
]
},
"\ud83d\udcbe Save for Review": {
"main": [
[
{
"node": "\ud83d\udcf1 Send Telegram Preview",
"type": "main",
"index": 0
}
]
]
},
"\u23f0 Check for Approved Posts (Every 30 min)": {
"main": [
[
{
"node": "\ud83d\udccb Read Posts Queue",
"type": "main",
"index": 0
}
]
]
},
"\ud83d\udccb Read Posts Queue": {
"main": [
[
{
"node": "\ud83d\udd04 Merge Telegram Approvals",
"type": "main",
"index": 0
}
]
]
},
"\ud83d\udd04 Merge Telegram Approvals": {
"main": [
[
{
"node": "\u2705 Only Approved Posts",
"type": "main",
"index": 0
}
]
]
},
"\u23f1\ufe0f Telegram Poller (every 2 min)": {
"main": [
[
{
"node": "\ud83d\udcec Process Telegram Updates",
"type": "main",
"index": 0
}
]
]
},
"\u2705 Only Approved Posts": {
"main": [
[
{
"node": "\ud83d\udd00 Process One by One",
"type": "main",
"index": 0
}
]
]
},
"\ud83d\udd00 Process One by One": {
"main": [
[],
[
{
"node": "\ud83d\ude80 Publish Approved Post",
"type": "main",
"index": 0
}
]
]
},
"\ud83d\ude80 Publish Approved Post": {
"main": [
[
{
"node": "\ud83d\udcdd Mark as Posting",
"type": "main",
"index": 0
}
]
]
},
"\ud83d\udd17 Manual Post Webhook": {
"main": [
[
{
"node": "Generate Custom Post",
"type": "main",
"index": 0
}
]
]
},
"\ud83d\udcc5 Connection Schedule (Tue/Thu 10am)": {
"main": [
[
{
"node": "Set Daily Connection Limit",
"type": "main",
"index": 0
}
]
]
},
"Set Daily Connection Limit": {
"main": [
[
{
"node": "\ud83d\udccb Read Target Profiles",
"type": "main",
"index": 0
}
]
]
},
"\ud83d\udccb Read Target Profiles": {
"main": [
[
{
"node": "Split Profiles One by One",
"type": "main",
"index": 0
}
]
]
},
"Split Profiles One by One": {
"main": [
[
{
"node": "\u23f1 Human Delay (60 min)",
"type": "main",
"index": 0
}
]
]
},
"\u23f1 Human Delay (60 min)": {
"main": [
[
{
"node": "Generate Connection Message",
"type": "main",
"index": 0
}
]
]
},
"Generate Connection Message": {
"main": [
[
{
"node": "Send Connection Request",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1",
"saveManualExecutions": true,
"callerPolicy": "workflowsFromSameOwner"
},
"tags": []
}
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About this workflow
Louis LinkedIn Automation OS. Uses googleSheets. Scheduled trigger; 24 nodes.
Source: https://github.com/louisoddie999/linkedin-automation/blob/9b77cb2655bd77c706893bdcc7fe2baaf8876ad9/n8n-workflows/main-workflow.json — original creator credit. Request a take-down →
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