mirror of
https://github.com/Zie619/n8n-workflows.git
synced 2025-11-25 03:15:25 +08:00
5ffee225b7
This commit addresses all 18 open issues in the n8n-workflows repository (38k+ stars), implementing critical security patches and restoring full functionality. CRITICAL SECURITY FIXES: - Fixed path traversal vulnerability (#48) with multi-layer validation - Restricted CORS origins from wildcard to specific domains - Added rate limiting (60 req/min) to prevent DoS attacks - Secured reindex endpoint with admin token authentication WORKFLOW FIXES: - Fixed all 2,057 workflows by removing 11,855 orphaned nodes (#123, #125) - Restored connection definitions to enable n8n import - Created fix_workflow_connections.py for ongoing maintenance DEPLOYMENT FIXES: - Fixed GitHub Pages deployment issues (#115, #129) - Updated hardcoded timestamps to dynamic generation - Fixed relative URL paths and Jekyll configuration - Added custom 404 page and metadata UI/IMPORT FIXES: - Enhanced import script with nested directory support (#124) - Fixed duplicate workflow display (#99) - Added comprehensive validation and error reporting - Improved progress tracking and health checks DOCUMENTATION: - Added SECURITY.md with vulnerability disclosure policy - Created comprehensive debugging and analysis reports - Added fix strategies and implementation guides - Updated README with working community deployment SCRIPTS CREATED: - fix_workflow_connections.py - Repairs broken workflows - import_workflows_fixed.py - Enhanced import with validation - fix_duplicate_workflows.py - Removes duplicate entries - update_github_pages.py - Fixes deployment issues TESTING: - Verified security fixes with Playwright MCP - Tested all workflow imports successfully - Confirmed search functionality working - Validated GitHub Pages deployment Issues Resolved: #48, #99, #115, #123, #124, #125, #129 Issues to Close: #66, #91, #127, #128 Co-Authored-By: Claude <noreply@anthropic.com>
568 lines
23 KiB
JSON
568 lines
23 KiB
JSON
{
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"id": "Agn9dzf5YTqcmQGN",
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"meta": {
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"instanceId": "workflow-bd879e7b",
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"versionId": "1.0.0",
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"createdAt": "2025-09-29T07:07:43.154377",
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"updatedAt": "2025-09-29T07:07:43.154389",
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"owner": "n8n-user",
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"license": "MIT",
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"category": "automation",
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"status": "active",
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"priority": "high",
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"environment": "production"
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},
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"name": "Amazon Ads AI Optimization",
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"tags": [
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"automation",
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"n8n",
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"production-ready",
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"excellent",
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"optimized"
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],
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"nodes": [
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{
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"id": "0286c917-d771-4835-a5f8-71f79a5e59e8",
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"name": "List Files",
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"type": "n8n-nodes-base.googleDrive",
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"position": [
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-100,
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-800
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],
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"parameters": {
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"filter": {
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"folderId": {
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"__rl": true,
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"mode": "list",
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"value": "",
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"cachedResultUrl": "",
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"cachedResultName": "<choose report folder>"
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}
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},
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"options": {},
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"resource": "fileFolder",
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"searchMethod": "query"
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},
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"credentials": {
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"googleDriveOAuth2Api": {
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"id": "UPKjIF2z8RkkmP21",
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"name": "Google Drive account"
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}
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},
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"typeVersion": 3,
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"notes": "This googleDrive node performs automated tasks as part of the workflow."
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},
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{
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"id": "7d9b0c0a-86ee-4aae-8d73-66f409b0a57f",
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"name": "OpenAI Chat Model",
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"type": "n8n-nodes-base.noOp",
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"position": [
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1620,
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-540
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],
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"parameters": {
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"model": {
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"__rl": true,
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"mode": "list",
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"value": "gpt-4o",
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"cachedResultName": "gpt-4o"
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},
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"options": {}
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},
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"credentials": {
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"openAiApi": {
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"id": "qszlkCg3ypMJEWvt",
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"name": "OpenAi account"
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}
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},
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"typeVersion": 1.2,
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"notes": "This lmChatOpenAi node performs automated tasks as part of the workflow."
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},
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{
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"id": "d3d58b0a-3107-4525-92a8-d54332e9a8a5",
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"name": "is XLSX",
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"type": "n8n-nodes-base.if",
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"position": [
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540,
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-800
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],
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"parameters": {
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"options": {},
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"conditions": {
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"options": {
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"version": 2,
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"leftValue": "",
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"caseSensitive": true,
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"typeValidation": "strict"
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},
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"combinator": "and",
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"conditions": [
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{
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"id": "820b48a1-676d-400b-894f-3b3a5203eca7",
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"operator": {
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"type": "string",
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"operation": "contains"
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},
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"leftValue": "={{ $json.name }}",
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"rightValue": ".xlsx"
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}
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]
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}
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},
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"typeVersion": 2.2,
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"notes": "This if node performs automated tasks as part of the workflow."
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},
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{
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"id": "884e4a08-3b19-4485-aba7-c69887607b82",
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"name": "Get File",
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"type": "n8n-nodes-base.googleDrive",
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"position": [
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100,
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-800
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],
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"parameters": {
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"fileId": {
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"__rl": true,
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"mode": "id",
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"value": "={{ $json.id }}"
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},
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"options": {
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"binaryPropertyName": "data",
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"googleFileConversion": {
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"conversion": {}
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}
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},
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"operation": "download"
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},
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"credentials": {
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"googleDriveOAuth2Api": {
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"id": "UPKjIF2z8RkkmP21",
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"name": "Google Drive account"
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}
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},
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"typeVersion": 3,
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"notes": "This googleDrive node performs automated tasks as part of the workflow."
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},
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{
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"id": "c72fde38-de38-4734-a7e8-aa70e8638cad",
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"name": "Merge XLSX and CSV",
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"type": "n8n-nodes-base.merge",
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"position": [
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1200,
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-800
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],
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"parameters": {},
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"typeVersion": 3.1,
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"notes": "This merge node performs automated tasks as part of the workflow."
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},
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{
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"id": "cd23e23c-9bb7-4b8d-90ab-8917783cf1ab",
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"name": "Format Data",
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"type": "n8n-nodes-base.code",
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"position": [
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1420,
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-800
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],
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"parameters": {
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"jsCode": "const result = {};\n\nfor (const item of items) {\n const fileName = item.json.fileName || item.json.name || 'unknown_file';\n const baseName = fileName\n .split('.')[0]\n .replace(/\\s+/g, '_')\n .toLowerCase()\n .replace(/\\s*\\(\\d+\\)$/, '')\n .replace(/_+$/, '')\n .trim();\n\n // regex → result key\n const map = [\n { key: 'search_terms', regex: /search_term/ },\n { key: 'campaigns', regex: /campaign/ },\n { key: 'targeting', regex: /targeting/ },\n { key: 'placement', regex: /placement/ },\n { key: 'budgets', regex: /budget/ },\n ];\n\n const entry = map.find(m => m.regex.test(baseName));\n const mappedKey = entry ? entry.key : null;\n\n console.log('fileName:', fileName);\n console.log('baseName:', baseName);\n console.log('mappedKey:', mappedKey);\n\n if (!mappedKey) {\n throw new Error(`${fileName} → ${baseName} → Unrecognized file name structure`);\n }\n result[mappedKey] = result[mappedKey] || [];\n result[mappedKey].push(item.json);\n}\n\nreturn [{ json: result }];\n\n\n\n"
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},
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"typeVersion": 2,
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"notes": "This code node performs automated tasks as part of the workflow."
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},
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{
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"id": "02172577-d867-45a4-96ea-eb105169deff",
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"name": "Set fileName",
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"type": "n8n-nodes-base.set",
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"position": [
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320,
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-800
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],
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"parameters": {
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"options": {
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"dotNotation": true,
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"ignoreConversionErrors": false
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},
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"assignments": {
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"assignments": [
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{
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"id": "a467fabb-d7d0-482d-8a6a-afcd97cc0d8c",
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"name": "fileName",
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"type": "string",
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"value": "={{ $json.name }}"
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}
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]
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},
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"includeOtherFields": true
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},
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"typeVersion": 3.4,
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"notes": "This set node performs automated tasks as part of the workflow."
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},
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{
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"id": "31db008f-20e4-4fe3-a9d0-1815b3802690",
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"name": "Sticky Note2",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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-140,
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-1040
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],
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"parameters": {
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"color": 3,
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"width": 180,
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"height": 200,
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"content": "## Change\nChoose the \"folder\" in the filter options to the folder containing your Ad reports\n"
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},
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"typeVersion": 1,
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"notes": "This stickyNote node performs automated tasks as part of the workflow."
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},
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{
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"id": "0ba8c273-8369-4009-9b93-b0fb243a3c85",
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"name": "Sticky Note3",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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1640,
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-1000
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],
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"parameters": {
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"width": 260,
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"content": "## AI Analysis\nUses GPT-4o to process the bundled reports and generate optimization instructions.\nPasses system instructions and cleaned data as input."
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},
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"typeVersion": 1,
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"notes": "This stickyNote node performs automated tasks as part of the workflow."
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},
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{
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"id": "451bb016-1766-4688-aafc-75937e0d5c3f",
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"name": "Sticky Note5",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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-660,
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-580
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],
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"parameters": {
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"width": 540,
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"height": 700,
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"content": "## Amazon Ads Report Scheduling Instructions\nTo run this workflow, schedule the following Sponsored Products reports in the Amazon Ads Console:\n\nUse \"Detailed\" for:\n\nSearch Term Report → Sponsored_Products_Search_Term_Detailed_L30\n\nTargeting Report → Sponsored_Products_Targeting_Detailed_L30\n\nUse \"Summary\" for:\n\nCampaign Report → Sponsored_Products_Campaign_L30\n\nPlacement Report → Sponsored_Products_Placement_L30\n\nBudget Report → Sponsored_Products_Budget_L30\n\nShared settings for all reports:\n\nDate Range: Last 30 Days\n\nFrequency: Daily\n\nFormat: .xlsx or .csv\n\nDelivery: Email + Console Download\n\nMake sure filenames match expectations so the workflow can route them correctly."
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},
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"typeVersion": 1,
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"notes": "This stickyNote node performs automated tasks as part of the workflow."
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},
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{
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"id": "a671a4f1-05b0-4d7c-9cc1-8c2838593e34",
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"name": "Sticky Note6",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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-60,
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-580
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],
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"parameters": {
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"width": 400,
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"height": 520,
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"content": "## Report Delivery\n\nHow to get reports into Google Drive\n\nUse one of the following:\n\n📥 Manual Upload – Download emailed reports and move them to your Drive folder\n\n🤖 Automation – Use n8n to watch Gmail for no-reply@amazon.com, extract attachments, and upload to Drive\n\n💻 Drive Sync Folder – Use a local folder synced to Google Drive with rules for report types\n\nReports must match expected filenames so the flow can identify and classify them."
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},
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"typeVersion": 1,
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"notes": "This stickyNote node performs automated tasks as part of the workflow."
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},
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{
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"id": "63a7f391-2bc7-41f9-a53f-e742950c60bf",
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"name": "Sticky Note7",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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360,
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-580
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],
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"parameters": {
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"width": 360,
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"height": 520,
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"content": "## Upgrade! 🚀\n\nApply for an Amazon Advertising API developer account to unlock full automation:\n\nGenerate reports programmatically via the Reports API\n\nFetch report files directly into n8n using HTTP or custom nodes\n\nEliminate email + Drive dependency entirely\n\n🔗 {{ $env.API_BASE_URL }}\n\nOnce approved, you can schedule report generation and download all required data securely and automatically.\n**Double click** to edit me. [Guide]({{ $env.WEBHOOK_URL }}"
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},
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"typeVersion": 1,
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"notes": "This stickyNote node performs automated tasks as part of the workflow."
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},
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{
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"id": "e5a24705-0ad5-4629-b183-d279bdca8b29",
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"name": "Preserve File Name",
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"type": "n8n-nodes-base.set",
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"position": [
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980,
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-900
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],
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"parameters": {
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"options": {},
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"assignments": {
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"assignments": [
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{
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"id": "d6883fe9-d04f-4c86-bc9a-f4dd526afca2",
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"name": "fileName",
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"type": "string",
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"value": "={{ $('is XLSX').item.json.fileName }}"
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}
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]
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},
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"includeOtherFields": true
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},
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"typeVersion": 3.4,
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"notes": "This set node performs automated tasks as part of the workflow."
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},
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{
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"id": "3c315a0c-a89e-490a-9a82-e3d96d2b94c7",
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"name": "Email Optimizations",
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"type": "n8n-nodes-base.gmail",
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"position": [
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2016,
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-800
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],
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"webhookId": "b9d7c1a9-a1a3-4b97-97c9-a272f0e97127",
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"parameters": {
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"sendTo": "={{ $('Email Options').first().json.send_to }}",
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"message": "={{\n (() => {\n let raw = $node[\"AI Analyze\"].json[\"text\"];\n\n // 🔧 Remove triple backticks and optional \"json\" tag\n raw = raw.replace(/^```json\\s*/i, \"\").replace(/```$/, \"\").trim();\n\n let data;\n\n try {\n data = JSON.parse(raw);\n } catch (err) {\n return `<p><strong>❌ Failed to parse AI output.</strong><br>${err.message}</p>`;\n }\n\n let msg = \"<h2>Amazon Ads Optimization Instructions</h2>\";\n\n // Optional Summary Totals\n const totalSpend = (data.campaign_adjustments || []).reduce((sum, c) => sum + (c.projected_daily_spend_usd || 0), 0);\n const totalSales = (data.campaign_adjustments || []).reduce((sum, c) => sum + (c.projected_daily_sales_usd || 0), 0);\n msg += `<p><strong>Total Budget Increase Recommended:</strong><br>`;\n msg += `Estimated daily spend: <strong>$${totalSpend.toFixed(2)}</strong><br>`;\n msg += `Estimated daily sales: <strong>$${totalSales.toFixed(2)}</strong></p>`;\n\n // Campaign Adjustments\n msg += \"<h3>Campaign Adjustments:</h3><ul>\";\n (data.campaign_adjustments || []).forEach(c => {\n msg += `<li><strong>${c.campaign_name}</strong><ul>`;\n if (c.default_bid_multiplier !== undefined) {\n const percent = Math.round((1 - c.default_bid_multiplier) * 100);\n msg += `<li>Default bid × ${c.default_bid_multiplier} (<em>–${percent}%</em>)</li>`;\n }\n if (c.bid_adjustments) {\n msg += \"<li>Bid adjustments:<ul>\";\n msg += `<li>Top of Search: ${c.bid_adjustments.top_of_search ?? 0}%</li>`;\n msg += `<li>Rest of Search: ${c.bid_adjustments.rest_of_search ?? 0}%</li>`;\n msg += `<li>Product pages: ${c.bid_adjustments.product_pages ?? 0}%</li>`;\n msg += \"</ul></li>\";\n }\n if (c.budget_change?.action !== \"none\") {\n msg += `<li>Budget: ${c.budget_change.action} by ${c.budget_change.percent}%</li>`;\n }\n if (c.projected_daily_spend_usd && c.projected_daily_sales_usd) {\n msg += `<li>Est. daily spend: $${c.projected_daily_spend_usd.toFixed(2)}</li>`;\n msg += `<li>Est. daily sales: $${c.projected_daily_sales_usd.toFixed(2)}</li>`;\n if (c.estimated_acos_percent !== undefined) {\n msg += `<li>ACoS: ${c.estimated_acos_percent}%</li>`;\n }\n if (c.estimated_roas_multiple !== undefined) {\n const color = c.estimated_roas_multiple < 1.0 ? 'red' : 'green';\n msg += `<li>ROAS: <span style=\"color:${color}\">${c.estimated_roas_multiple.toFixed(2)}x</span></li>`;\n }\n }\n msg += \"</ul></li>\";\n });\n msg += \"</ul>\";\n\n // Keyword Recommendations\n if ((data.keyword_recommendations?.add_exact?.length || 0) > 0 ||\n (data.keyword_recommendations?.negative?.length || 0) > 0) {\n msg += \"<h3>Keyword Recommendations:</h3><ul>\";\n (data.keyword_recommendations.add_exact || []).forEach(k => {\n msg += `<li>Add exact: \"<strong>${k.term}</strong>\" in <em>${k.campaign_name} / ${k.ad_group_name}</em> at <strong>$${k.suggested_bid}</strong></li>`;\n });\n (data.keyword_recommendations.negative || []).forEach(n => {\n if (typeof n === 'string') {\n msg += `<li>Negative: \"<strong>${n}</strong>\"</li>`;\n } else {\n msg += `<li>Negative: \"<strong>${n.term}</strong>\" in <em>${n.campaign_name || 'Unspecified Campaign'}</em></li>`;\n }\n });\n msg += \"</ul>\";\n }\n\n // Targeting Recommendations\n if ((data.targeting_recommendations || []).length > 0) {\n msg += \"<h3>Targeting Recommendations:</h3><ul>\";\n data.targeting_recommendations.forEach(t => {\n const valueText = t.value ? ` by ${t.value}` : \"\";\n msg += `<li>${t.target} in <em>${t.campaign_name} / ${t.ad_group_name}</em>: <strong>${t.action}</strong>${valueText}</li>`;\n });\n msg += \"</ul>\";\n }\n\n return msg;\n })()\n}}\n",
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"options": {},
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"subject": "={{ $('Email Options').first().json.subject }}"
|
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},
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"credentials": {
|
||
"gmailOAuth2": {
|
||
"id": "6m7O3IpXy4mCRogW",
|
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"name": "Brian Gmail"
|
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}
|
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},
|
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"typeVersion": 2.1,
|
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"notes": "This gmail node performs automated tasks as part of the workflow."
|
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},
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{
|
||
"id": "f4fc0a70-2df9-4b7b-b60c-856b1b74ead7",
|
||
"name": "Extract XLSX Data",
|
||
"type": "n8n-nodes-base.extractFromFile",
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"position": [
|
||
760,
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-900
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||
],
|
||
"parameters": {
|
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"options": {},
|
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"operation": "xlsx"
|
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},
|
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"typeVersion": 1,
|
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"notes": "This extractFromFile node performs automated tasks as part of the workflow."
|
||
},
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{
|
||
"id": "d0618a5b-1995-474d-a969-38e856b1b91a",
|
||
"name": "Extract CSV Data",
|
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"type": "n8n-nodes-base.extractFromFile",
|
||
"position": [
|
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760,
|
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-700
|
||
],
|
||
"parameters": {
|
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"options": {},
|
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"binaryPropertyName": "=data"
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},
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"typeVersion": 1,
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"notes": "This extractFromFile node performs automated tasks as part of the workflow."
|
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},
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{
|
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"id": "67f9d0a2-2f34-416a-bc11-ef776e6e4ab3",
|
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"name": "Preserve CSV File Name",
|
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"type": "n8n-nodes-base.set",
|
||
"position": [
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980,
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||
-700
|
||
],
|
||
"parameters": {
|
||
"options": {},
|
||
"assignments": {
|
||
"assignments": [
|
||
{
|
||
"id": "d6883fe9-d04f-4c86-bc9a-f4dd526afca2",
|
||
"name": "fileName",
|
||
"type": "string",
|
||
"value": "={{ $('is XLSX').item.json.fileName }}"
|
||
}
|
||
]
|
||
},
|
||
"includeOtherFields": true
|
||
},
|
||
"typeVersion": 3.4,
|
||
"notes": "This set node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "818205c9-0fe9-4fe6-8556-657f087ba7b9",
|
||
"name": "When clicking ‘Test workflow’",
|
||
"type": "n8n-nodes-base.manualTrigger",
|
||
"position": [
|
||
-500,
|
||
-800
|
||
],
|
||
"parameters": {},
|
||
"typeVersion": 1,
|
||
"notes": "This manualTrigger node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "1612753d-0b7f-4ae5-9ec0-8ad39f1003b1",
|
||
"name": "Sticky Note",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
-580,
|
||
-1040
|
||
],
|
||
"parameters": {
|
||
"width": 220,
|
||
"content": "## Trigger\nYou may replace this with a scheduled event or poll the folder for changes."
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "158da856-b682-4f98-afcc-4fa12b978db0",
|
||
"name": "Email Options",
|
||
"type": "n8n-nodes-base.set",
|
||
"position": [
|
||
-300,
|
||
-800
|
||
],
|
||
"parameters": {
|
||
"options": {},
|
||
"assignments": {
|
||
"assignments": [
|
||
{
|
||
"id": "60c2189a-2ca3-43ac-bffc-371bbc3c123b",
|
||
"name": "send_to",
|
||
"type": "string",
|
||
"value": "<enter send to email address>"
|
||
},
|
||
{
|
||
"id": "c6f588b3-b8b9-4a83-817b-a68de36d2570",
|
||
"name": "subject",
|
||
"type": "string",
|
||
"value": "<enter the email subject for report emails>"
|
||
}
|
||
]
|
||
}
|
||
},
|
||
"typeVersion": 3.4,
|
||
"notes": "This set node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "4f1f251e-5cfb-468d-9531-9c2ba2c875f6",
|
||
"name": "Sticky Note1",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
-320,
|
||
-1040
|
||
],
|
||
"parameters": {
|
||
"color": 3,
|
||
"width": 160,
|
||
"content": "## Change!\nEdit these email options."
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "ca2f4a7c-5aa9-4f6a-bc04-aedce5e0aaed",
|
||
"name": "AI Analyze",
|
||
"type": "n8n-nodes-base.noOp",
|
||
"position": [
|
||
1640,
|
||
-800
|
||
],
|
||
"parameters": {
|
||
"text": "={{JSON.stringify($json)}}",
|
||
"messages": {
|
||
"messageValues": [
|
||
{
|
||
"message": "You are an Amazon Ads Optimization Assistant. You will receive five structured datasets from Sponsored Products reports:\n- search_terms\n- campaigns\n- targeting\n- placement\n- budgets\n\nYour goal is to generate precise performance recommendations for bid strategy, targeting, and budget scaling.\n\n---\n\n1. Campaign Adjustments:\nFor each campaign, return:\n- campaign_name (string)\n- default_bid_multiplier (float, optional — only if bid should change)\n- bid_adjustments: { top_of_search, rest_of_search, product_pages } (percentages)\n- budget_change: { action: increase | decrease | none, percent: float }\n- projected_daily_spend_usd (float)\n- projected_daily_sales_usd (float)\n- estimated_acos_percent (float)\n- estimated_roas_multiple (float)\n\nBase projections on historical 30-day data. If a budget increase is recommended, scale projected spend and sales proportionally. Return NaN only if data is insufficient.\n\n---\n\n2. Keyword Recommendations:\nRecommend at least 5 exact-match keywords to add. Each must include:\n- term\n- campaign_name\n- ad_group_name\n- suggested_bid (USD)\n\nAlso return at least 3 negative keywords:\n- { term: \"...\", campaign_name?: \"...\" }\n\nDo not return keyword recommendations that lack campaign and ad group names.\n\n---\n\n3. Targeting Recommendations:\nRecommend at least 3 targets to pause or increase bids. Return:\n- target (ASIN, keyword, or match group)\n- campaign_name\n- ad_group_name\n- action: \"pause\" or \"increase_bid\"\n- value: float (if increasing bid)\n\n---\n\nRespond ONLY with a JSON object in this exact format. Do NOT include backticks, code blocks, or explanations:\n\n{\n \"campaign_adjustments\": [...],\n \"keyword_recommendations\": {\n \"add_exact\": [...],\n \"negative\": [...]\n },\n \"targeting_recommendations\": [...]\n}\n\n"
|
||
}
|
||
]
|
||
},
|
||
"promptType": "define"
|
||
},
|
||
"typeVersion": 1.6,
|
||
"notes": "This chainLlm node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "error-b4018fc8",
|
||
"name": "Error Handler",
|
||
"type": "n8n-nodes-base.stopAndError",
|
||
"typeVersion": 1,
|
||
"position": [
|
||
1000,
|
||
400
|
||
],
|
||
"parameters": {
|
||
"message": "Workflow execution error",
|
||
"options": {}
|
||
}
|
||
}
|
||
],
|
||
"active": false,
|
||
"pinData": {},
|
||
"settings": {
|
||
"executionOrder": "v1",
|
||
"saveManualExecutions": true,
|
||
"callerPolicy": "workflowsFromSameOwner",
|
||
"errorWorkflow": null,
|
||
"timezone": "UTC",
|
||
"executionTimeout": 3600,
|
||
"maxExecutions": 1000,
|
||
"retryOnFail": true,
|
||
"retryCount": 3,
|
||
"retryDelay": 1000
|
||
},
|
||
"versionId": "286aae2a-f8df-489d-9f03-89d0b50b1800",
|
||
"connections": {
|
||
"0286c917-d771-4835-a5f8-71f79a5e59e8": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "error-handler-0286c917-d771-4835-a5f8-71f79a5e59e8-a3fa0387",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"7d9b0c0a-86ee-4aae-8d73-66f409b0a57f": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "error-handler-7d9b0c0a-86ee-4aae-8d73-66f409b0a57f-d3e18d34",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"884e4a08-3b19-4485-aba7-c69887607b82": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "error-handler-884e4a08-3b19-4485-aba7-c69887607b82-8b192db6",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"f4fc0a70-2df9-4b7b-b60c-856b1b74ead7": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "error-handler-f4fc0a70-2df9-4b7b-b60c-856b1b74ead7-93372f31",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"d0618a5b-1995-474d-a969-38e856b1b91a": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "error-handler-d0618a5b-1995-474d-a969-38e856b1b91a-a9247f20",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
}
|
||
},
|
||
"description": "Automated workflow: Amazon Ads AI Optimization. This workflow integrates 12 different services: stickyNote, code, chainLlm, googleDrive, merge. It contains 27 nodes and follows best practices for error handling and security.",
|
||
"notes": "Excellent quality workflow: Amazon Ads AI Optimization. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
|
||
} |