mirror of
https://github.com/Zie619/n8n-workflows.git
synced 2026-11-04 15:46:24 +08:00
zie619andClaude
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>
980 lines
36 KiB
JSON
980 lines
36 KiB
JSON
{
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||
"id": "K3uf8aY8wipScEay",
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"meta": {
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"instanceId": "workflow-e0d126d4",
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"versionId": "1.0.0",
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"createdAt": "2025-09-29T07:07:45.217243",
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"updatedAt": "2025-09-29T07:07:45.217261",
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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": "Google analytics template",
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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": "6a9fc442-d0a3-48be-8dff-94f8d9cd5cf1",
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"name": "Schedule Trigger",
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"type": "n8n-nodes-base.scheduleTrigger",
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"position": [
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460,
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460
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],
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"parameters": {
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"rule": {
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"interval": [
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{
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"field": "weeks"
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}
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]
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}
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},
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"typeVersion": 1.2,
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"notes": "This scheduleTrigger node performs automated tasks as part of the workflow."
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},
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{
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"id": "484cbc41-f57d-4c3d-a458-e439d480d290",
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"name": "When clicking ‘Test workflow’",
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"type": "n8n-nodes-base.manualTrigger",
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"position": [
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460,
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640
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],
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"parameters": {},
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"typeVersion": 1,
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"notes": "This manualTrigger node performs automated tasks as part of the workflow."
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},
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{
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"id": "b1b66e9b-5fea-407b-9c1e-39bd2a9d4a90",
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"name": "Sticky Note",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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460,
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100
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],
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"parameters": {
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"width": 714.172987012987,
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"content": "## Send Google analytics to A.I. and save results to baserow\n\nThis workflow will check for country views, page engagement and google search console results. It will take this week's data and compare it to last week's data.\n\n[You can read more about this workflow here]({{ $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": "adde29fc-ddb5-4b50-aa78-313ac9ede879",
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"name": "Sticky Note1",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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633.6540259740264,
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320
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],
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"parameters": {
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"color": 4,
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"width": 2097.92831168831,
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"height": 342.6576623376624,
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"content": "## Property ID\n\n1. Create your [Google Analytics Credentials]({{ $env.WEBHOOK_URL }}\n2. Enter your [property ID]({{ $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": "f2fb8535-e81e-4ca1-80df-ee68edba6386",
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"name": "Get Page Engagement Stats for this week",
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"type": "n8n-nodes-base.googleAnalytics",
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"position": [
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700,
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460
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],
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"parameters": {
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"simple": false,
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"returnAll": true,
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"metricsGA4": {
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"metricValues": [
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{
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"name": "screenPageViews",
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"listName": "other"
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},
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{
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"name": "activeUsers",
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"listName": "other"
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},
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{
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"name": "screenPageViewsPerUser",
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"listName": "other"
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},
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{
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"name": "eventCount",
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"listName": "other"
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}
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]
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},
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"propertyId": {
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"__rl": true,
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"mode": "id",
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"value": "460520224"
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},
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"dimensionsGA4": {
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"dimensionValues": [
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{
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"name": "unifiedScreenName",
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"listName": "other"
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}
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]
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},
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"additionalFields": {}
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},
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"credentials": {
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"googleAnalyticsOAuth2": {
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"id": "b1GX8VBMKCUNweV1",
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"name": "Google Analytics account"
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}
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},
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"typeVersion": 2,
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"notes": "This googleAnalytics node performs automated tasks as part of the workflow."
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},
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{
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"id": "1d761425-cebf-4787-b286-b723a0851485",
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"name": "Get Page Engagement Stats for prior week",
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"type": "n8n-nodes-base.googleAnalytics",
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"position": [
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1060,
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460
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],
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"parameters": {
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"simple": false,
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"endDate": "2024-10-23T00:00:00",
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"dateRange": "custom",
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"returnAll": true,
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"startDate": "={{$today.minus({days: 14})}}",
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"metricsGA4": {
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"metricValues": [
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{
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"name": "screenPageViews",
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"listName": "other"
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},
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{
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"name": "activeUsers",
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"listName": "other"
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},
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{
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"name": "screenPageViewsPerUser",
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"listName": "other"
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},
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{
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"name": "eventCount",
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"listName": "other"
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}
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]
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},
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"propertyId": {
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"__rl": true,
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"mode": "id",
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"value": "460520224"
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},
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"dimensionsGA4": {
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"dimensionValues": [
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{
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"name": "unifiedScreenName",
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"listName": "other"
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}
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]
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},
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"additionalFields": {}
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},
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"typeVersion": 2,
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"notes": "This googleAnalytics node performs automated tasks as part of the workflow."
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},
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{
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"id": "f8dac36b-9e8a-407f-b923-b4cea368f1bc",
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"name": "Parse data from Google Analytics",
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"type": "n8n-nodes-base.code",
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"position": [
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880,
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460
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],
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"parameters": {
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"jsCode": "function transformToUrlString(items) {\n // Debug logging\n console.log('Input items:', JSON.stringify(items, null, 2));\n \n // Check if items is an array and has content\n if (!Array.isArray(items) || items.length === 0) {\n console.log('Items is not an array or is empty');\n throw new Error('Invalid data structure');\n }\n\n // Check if first item exists and has json property\n if (!items[0] || !items[0].json) {\n console.log('First item is missing or has no json property');\n throw new Error('Invalid data structure');\n }\n\n // Get the analytics data\n const analyticsData = items[0].json;\n \n // Check if analyticsData has rows\n if (!analyticsData || !Array.isArray(analyticsData.rows)) {\n console.log('Analytics data is missing or has no rows array');\n throw new Error('Invalid data structure');\n }\n \n // Map each row to a simplified object\n const simplified = analyticsData.rows.map(row => {\n if (!row.dimensionValues?.[0]?.value || !row.metricValues?.length) {\n console.log('Invalid row structure:', row);\n throw new Error('Invalid row structure');\n }\n \n return {\n page: row.dimensionValues[0].value,\n pageViews: parseInt(row.metricValues[0].value) || 0,\n activeUsers: parseInt(row.metricValues[1].value) || 0,\n viewsPerUser: parseFloat(row.metricValues[2].value) || 0,\n eventCount: parseInt(row.metricValues[3].value) || 0\n };\n });\n \n // Convert to JSON string and encode for URL\n return encodeURIComponent(JSON.stringify(simplified));\n}\n\n// Get input data and transform it\nconst urlString = transformToUrlString($input.all());\n\n// Return the result\nreturn { json: { urlString } };"
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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": "ed880442-c92e-4347-b277-e8794aea6fbc",
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"name": "Parse GA data",
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"type": "n8n-nodes-base.code",
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"position": [
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1240,
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460
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],
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"parameters": {
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"jsCode": "function transformToUrlString(items) {\n // Debug logging\n console.log('Input items:', JSON.stringify(items, null, 2));\n \n // Check if items is an array and has content\n if (!Array.isArray(items) || items.length === 0) {\n console.log('Items is not an array or is empty');\n throw new Error('Invalid data structure');\n }\n\n // Check if first item exists and has json property\n if (!items[0] || !items[0].json) {\n console.log('First item is missing or has no json property');\n throw new Error('Invalid data structure');\n }\n\n // Get the analytics data\n const analyticsData = items[0].json;\n \n // Check if analyticsData has rows\n if (!analyticsData || !Array.isArray(analyticsData.rows)) {\n console.log('Analytics data is missing or has no rows array');\n throw new Error('Invalid data structure');\n }\n \n // Map each row to a simplified object\n const simplified = analyticsData.rows.map(row => {\n if (!row.dimensionValues?.[0]?.value || !row.metricValues?.length) {\n console.log('Invalid row structure:', row);\n throw new Error('Invalid row structure');\n }\n \n return {\n page: row.dimensionValues[0].value,\n pageViews: parseInt(row.metricValues[0].value) || 0,\n activeUsers: parseInt(row.metricValues[1].value) || 0,\n viewsPerUser: parseFloat(row.metricValues[2].value) || 0,\n eventCount: parseInt(row.metricValues[3].value) || 0\n };\n });\n \n // Convert to JSON string and encode for URL\n return encodeURIComponent(JSON.stringify(simplified));\n}\n\n// Get input data and transform it\nconst urlString = transformToUrlString($input.all());\n\n// Return the result\nreturn { json: { urlString } };"
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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": "46e092cc-af94-4e64-aa92-931c56345eff",
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"name": "Get Google Search Results for this week",
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"type": "n8n-nodes-base.googleAnalytics",
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"position": [
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1420,
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460
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],
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"parameters": {
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"simple": false,
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"returnAll": true,
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"metricsGA4": {
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"metricValues": [
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{
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"name": "activeUsers",
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"listName": "other"
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},
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{
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"name": "engagedSessions",
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"listName": "other"
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},
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{
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"name": "engagementRate",
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"listName": "other"
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},
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{
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"name": "eventCount",
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"listName": "other"
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},
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{
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"name": "organicGoogleSearchAveragePosition",
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"listName": "other"
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},
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{
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"name": "organicGoogleSearchClickThroughRate",
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"listName": "other"
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},
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{
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"name": "organicGoogleSearchClicks",
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"listName": "other"
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},
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{
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"name": "organicGoogleSearchImpressions",
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"listName": "other"
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}
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]
|
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},
|
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"propertyId": {
|
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"__rl": true,
|
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"mode": "id",
|
||
"value": "460520224"
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},
|
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"dimensionsGA4": {
|
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"dimensionValues": [
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{
|
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"name": "landingPagePlusQueryString",
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"listName": "other"
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}
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]
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},
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"additionalFields": {}
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},
|
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"credentials": {
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"googleAnalyticsOAuth2": {
|
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"id": "b1GX8VBMKCUNweV1",
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"name": "Google Analytics account"
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}
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},
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"typeVersion": 2,
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"notes": "This googleAnalytics node performs automated tasks as part of the workflow."
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},
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{
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"id": "709d0aaf-bd3d-4d83-9e66-b7df495855bd",
|
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"name": "Get Google Search Results for last week",
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"type": "n8n-nodes-base.googleAnalytics",
|
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"position": [
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1780,
|
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460
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||
],
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"parameters": {
|
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"simple": false,
|
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"endDate": "={{$today.minus({days: 7})}}",
|
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"dateRange": "custom",
|
||
"returnAll": true,
|
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"startDate": "={{$today.minus({days: 14})}}",
|
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"metricsGA4": {
|
||
"metricValues": [
|
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{
|
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"name": "activeUsers",
|
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"listName": "other"
|
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},
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{
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"name": "engagedSessions",
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"listName": "other"
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},
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{
|
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"name": "engagementRate",
|
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"listName": "other"
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},
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{
|
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"name": "eventCount",
|
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"listName": "other"
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},
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{
|
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"name": "organicGoogleSearchAveragePosition",
|
||
"listName": "other"
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},
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{
|
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"name": "organicGoogleSearchClickThroughRate",
|
||
"listName": "other"
|
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},
|
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{
|
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"name": "organicGoogleSearchClicks",
|
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"listName": "other"
|
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},
|
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{
|
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"name": "organicGoogleSearchImpressions",
|
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"listName": "other"
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}
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]
|
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},
|
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"propertyId": {
|
||
"__rl": true,
|
||
"mode": "id",
|
||
"value": "460520224"
|
||
},
|
||
"dimensionsGA4": {
|
||
"dimensionValues": [
|
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{
|
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"name": "landingPagePlusQueryString",
|
||
"listName": "other"
|
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}
|
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]
|
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},
|
||
"additionalFields": {}
|
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},
|
||
"credentials": {
|
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"googleAnalyticsOAuth2": {
|
||
"id": "b1GX8VBMKCUNweV1",
|
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"name": "Google Analytics account"
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}
|
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},
|
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"typeVersion": 2,
|
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"notes": "This googleAnalytics node performs automated tasks as part of the workflow."
|
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},
|
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{
|
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"id": "7d3835d6-d1f5-4159-8e34-871871e63989",
|
||
"name": "Parse Google Analytics Data",
|
||
"type": "n8n-nodes-base.code",
|
||
"position": [
|
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1600,
|
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460
|
||
],
|
||
"parameters": {
|
||
"jsCode": "function transformToUrlString(items) {\n // In n8n, we need to check if items is an array and get the json property\n const data = items[0].json;\n \n if (!data || !data.rows) {\n console.log('No valid data found');\n return encodeURIComponent(JSON.stringify([]));\n }\n \n try {\n // Process each row\n const simplified = data.rows.map(row => ({\n page: row.dimensionValues[0].value,\n activeUsers: parseInt(row.metricValues[0].value) || 0,\n engagedSessions: parseInt(row.metricValues[1].value) || 0,\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\n eventCount: parseInt(row.metricValues[3].value) || 0,\n avgPosition: parseFloat(row.metricValues[4].value) || 0,\n ctr: parseFloat(row.metricValues[5].value) || 0,\n clicks: parseInt(row.metricValues[6].value) || 0,\n impressions: parseInt(row.metricValues[7].value) || 0\n }));\n \n return encodeURIComponent(JSON.stringify(simplified));\n } catch (error) {\n console.log('Error processing data:', error);\n throw new Error('Invalid data structure');\n }\n}\n\n// Get the input data\nconst items = $input.all();\n\n// Process the data\nconst result = transformToUrlString(items);\n\n// Return the result\nreturn { json: { urlString: result } };"
|
||
},
|
||
"typeVersion": 2,
|
||
"notes": "This code node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "c018fda4-a2e6-48f4-aabb-039c66374dc7",
|
||
"name": "Parse Google Analytics Data1",
|
||
"type": "n8n-nodes-base.code",
|
||
"position": [
|
||
1940,
|
||
460
|
||
],
|
||
"parameters": {
|
||
"jsCode": "function transformToUrlString(items) {\n // In n8n, we need to check if items is an array and get the json property\n const data = items[0].json;\n \n if (!data || !data.rows) {\n console.log('No valid data found');\n return encodeURIComponent(JSON.stringify([]));\n }\n \n try {\n // Process each row\n const simplified = data.rows.map(row => ({\n page: row.dimensionValues[0].value,\n activeUsers: parseInt(row.metricValues[0].value) || 0,\n engagedSessions: parseInt(row.metricValues[1].value) || 0,\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\n eventCount: parseInt(row.metricValues[3].value) || 0,\n avgPosition: parseFloat(row.metricValues[4].value) || 0,\n ctr: parseFloat(row.metricValues[5].value) || 0,\n clicks: parseInt(row.metricValues[6].value) || 0,\n impressions: parseInt(row.metricValues[7].value) || 0\n }));\n \n return encodeURIComponent(JSON.stringify(simplified));\n } catch (error) {\n console.log('Error processing data:', error);\n throw new Error('Invalid data structure');\n }\n}\n\n// Get the input data\nconst items = $input.all();\n\n// Process the data\nconst result = transformToUrlString(items);\n\n// Return the result\nreturn { json: { urlString: result } };"
|
||
},
|
||
"typeVersion": 2,
|
||
"notes": "This code node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "d8f775cd-daf9-42de-a527-d932be46d945",
|
||
"name": "Get Country views data for this week",
|
||
"type": "n8n-nodes-base.googleAnalytics",
|
||
"position": [
|
||
2120,
|
||
460
|
||
],
|
||
"parameters": {
|
||
"simple": false,
|
||
"returnAll": true,
|
||
"metricsGA4": {
|
||
"metricValues": [
|
||
{
|
||
"name": "activeUsers",
|
||
"listName": "other"
|
||
},
|
||
{
|
||
"name": "newUsers",
|
||
"listName": "other"
|
||
},
|
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{
|
||
"name": "engagementRate",
|
||
"listName": "other"
|
||
},
|
||
{
|
||
"name": "engagedSessions",
|
||
"listName": "other"
|
||
},
|
||
{
|
||
"name": "eventCount",
|
||
"listName": "other"
|
||
},
|
||
{
|
||
"listName": "other"
|
||
},
|
||
{
|
||
"name": "sessions",
|
||
"listName": "other"
|
||
}
|
||
]
|
||
},
|
||
"propertyId": {
|
||
"__rl": true,
|
||
"mode": "id",
|
||
"value": "460520224"
|
||
},
|
||
"dimensionsGA4": {
|
||
"dimensionValues": [
|
||
{
|
||
"name": "country",
|
||
"listName": "other"
|
||
}
|
||
]
|
||
},
|
||
"additionalFields": {}
|
||
},
|
||
"credentials": {
|
||
"googleAnalyticsOAuth2": {
|
||
"id": "b1GX8VBMKCUNweV1",
|
||
"name": "Google Analytics account"
|
||
}
|
||
},
|
||
"typeVersion": 2,
|
||
"notes": "This googleAnalytics node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "7119e57c-cbf4-49a9-b0c9-1f3da1fd2af3",
|
||
"name": "Get Country views data for last week",
|
||
"type": "n8n-nodes-base.googleAnalytics",
|
||
"position": [
|
||
2440,
|
||
460
|
||
],
|
||
"parameters": {
|
||
"simple": false,
|
||
"endDate": "={{$today.minus({days: 7})}}",
|
||
"dateRange": "custom",
|
||
"returnAll": true,
|
||
"startDate": "={{$today.minus({days: 14})}}",
|
||
"metricsGA4": {
|
||
"metricValues": [
|
||
{
|
||
"name": "activeUsers",
|
||
"listName": "other"
|
||
},
|
||
{
|
||
"name": "newUsers",
|
||
"listName": "other"
|
||
},
|
||
{
|
||
"name": "engagementRate",
|
||
"listName": "other"
|
||
},
|
||
{
|
||
"name": "engagedSessions",
|
||
"listName": "other"
|
||
},
|
||
{
|
||
"name": "eventCount",
|
||
"listName": "other"
|
||
},
|
||
{
|
||
"listName": "other"
|
||
},
|
||
{
|
||
"name": "sessions",
|
||
"listName": "other"
|
||
}
|
||
]
|
||
},
|
||
"propertyId": {
|
||
"__rl": true,
|
||
"mode": "id",
|
||
"value": "460520224"
|
||
},
|
||
"dimensionsGA4": {
|
||
"dimensionValues": [
|
||
{
|
||
"name": "country",
|
||
"listName": "other"
|
||
}
|
||
]
|
||
},
|
||
"additionalFields": {}
|
||
},
|
||
"typeVersion": 2,
|
||
"notes": "This googleAnalytics node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "546d6cd2-6db6-4276-be35-abbe5a7e9b6a",
|
||
"name": "Parse Google analytics data",
|
||
"type": "n8n-nodes-base.code",
|
||
"position": [
|
||
2280,
|
||
460
|
||
],
|
||
"parameters": {
|
||
"jsCode": "function transformToUrlString(items) {\n // In n8n, we need to check if items is an array and get the json property\n const data = items[0].json;\n \n if (!data || !data.rows) {\n console.log('No valid data found');\n return encodeURIComponent(JSON.stringify([]));\n }\n \n try {\n // Process each row\n const simplified = data.rows.map(row => ({\n country: row.dimensionValues[0].value,\n activeUsers: parseInt(row.metricValues[0].value) || 0,\n newUsers: parseInt(row.metricValues[1].value) || 0,\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\n engagedSessions: parseInt(row.metricValues[3].value) || 0,\n eventCount: parseInt(row.metricValues[4].value) || 0,\n totalUsers: parseInt(row.metricValues[5].value) || 0,\n sessions: parseInt(row.metricValues[6].value) || 0\n }));\n \n return encodeURIComponent(JSON.stringify(simplified));\n } catch (error) {\n console.log('Error processing data:', error);\n throw new Error('Invalid data structure');\n }\n}\n\n// Get the input data\nconst items = $input.all();\n\n// Process the data\nconst result = transformToUrlString(items);\n\n// Return the result\nreturn { json: { urlString: result } };"
|
||
},
|
||
"typeVersion": 2,
|
||
"notes": "This code node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "87cb137c-686d-49a5-8657-06ed0c5f5c27",
|
||
"name": "Parse Google analytics data1",
|
||
"type": "n8n-nodes-base.code",
|
||
"position": [
|
||
2600,
|
||
460
|
||
],
|
||
"parameters": {
|
||
"jsCode": "function transformToUrlString(items) {\n // In n8n, we need to check if items is an array and get the json property\n const data = items[0].json;\n \n if (!data || !data.rows) {\n console.log('No valid data found');\n return encodeURIComponent(JSON.stringify([]));\n }\n \n try {\n // Process each row\n const simplified = data.rows.map(row => ({\n country: row.dimensionValues[0].value,\n activeUsers: parseInt(row.metricValues[0].value) || 0,\n newUsers: parseInt(row.metricValues[1].value) || 0,\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\n engagedSessions: parseInt(row.metricValues[3].value) || 0,\n eventCount: parseInt(row.metricValues[4].value) || 0,\n totalUsers: parseInt(row.metricValues[5].value) || 0,\n sessions: parseInt(row.metricValues[6].value) || 0\n }));\n \n return encodeURIComponent(JSON.stringify(simplified));\n } catch (error) {\n console.log('Error processing data:', error);\n throw new Error('Invalid data structure');\n }\n}\n\n// Get the input data\nconst items = $input.all();\n\n// Process the data\nconst result = transformToUrlString(items);\n\n// Return the result\nreturn { json: { urlString: result } };"
|
||
},
|
||
"typeVersion": 2,
|
||
"notes": "This code node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "06c4478d-a13a-4587-9f1f-451a68798a9f",
|
||
"name": "Send page data to A.I.",
|
||
"type": "n8n-nodes-base.httpRequest",
|
||
"position": [
|
||
2760,
|
||
460
|
||
],
|
||
"parameters": {
|
||
"url": "{{ $env.API_BASE_URL }}",
|
||
"method": "POST",
|
||
"options": {},
|
||
"jsonBody": "={\n \"model\": \"meta-llama/llama-3.1-70b-instruct:free\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $json.urlString }} Data from last week: {{ $('Parse data from Google Analytics').item.json.urlString }}\"\n }\n ]\n}",
|
||
"sendBody": true,
|
||
"specifyBody": "json",
|
||
"authentication": "{{ $credentials.genericCredentialType }}",
|
||
"genericAuthType": "httpHeaderAuth"
|
||
},
|
||
"typeVersion": 4.2,
|
||
"alwaysOutputData": false,
|
||
"notes": "This httpRequest node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "4ad522b0-afe4-4eff-aa16-b86cc892ead8",
|
||
"name": "Send page Search data to A.I.",
|
||
"type": "n8n-nodes-base.httpRequest",
|
||
"position": [
|
||
2920,
|
||
460
|
||
],
|
||
"parameters": {
|
||
"url": "{{ $env.API_BASE_URL }}",
|
||
"method": "POST",
|
||
"options": {},
|
||
"jsonBody": "={\n \"model\": \"meta-llama/llama-3.1-70b-instruct:free\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $('Parse Google Analytics Data1').item.json.urlString }} Data from last week:{{ $('Parse Google Analytics Data').item.json.urlString }}\"\n }\n ]\n}",
|
||
"sendBody": true,
|
||
"specifyBody": "json",
|
||
"authentication": "{{ $credentials.genericCredentialType }}",
|
||
"genericAuthType": "httpHeaderAuth"
|
||
},
|
||
"typeVersion": 4.2,
|
||
"alwaysOutputData": false,
|
||
"notes": "This httpRequest node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "07e1eebf-f16a-44c0-83b5-76bf65a3d3fc",
|
||
"name": "Send country view data to A.I.",
|
||
"type": "n8n-nodes-base.httpRequest",
|
||
"position": [
|
||
3080,
|
||
460
|
||
],
|
||
"parameters": {
|
||
"url": "{{ $env.API_BASE_URL }}",
|
||
"method": "POST",
|
||
"options": {},
|
||
"jsonBody": "={\n \"model\": \"meta-llama/llama-3.1-70b-instruct:free\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $('Parse Google analytics data1').item.json.urlString }} Data from last week:{{ $('Parse Google analytics data').item.json.urlString }}\"\n }\n ]\n}",
|
||
"sendBody": true,
|
||
"specifyBody": "json",
|
||
"authentication": "{{ $credentials.genericCredentialType }}",
|
||
"genericAuthType": "httpHeaderAuth"
|
||
},
|
||
"typeVersion": 4.2,
|
||
"alwaysOutputData": false,
|
||
"notes": "This httpRequest node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "c4648ad8-2377-42a0-a431-931b53631c9d",
|
||
"name": "Save A.I. output to Baserow",
|
||
"type": "n8n-nodes-base.baserow",
|
||
"position": [
|
||
3240,
|
||
460
|
||
],
|
||
"parameters": {
|
||
"tableId": 601,
|
||
"fieldsUi": {
|
||
"fieldValues": [
|
||
{
|
||
"fieldId": 5833,
|
||
"fieldValue": "Name of your blog"
|
||
},
|
||
{
|
||
"fieldId": 5831,
|
||
"fieldValue": "={{ $('Send page data to A.I.').item.json.choices[0].message.content }}"
|
||
},
|
||
{
|
||
"fieldId": 5830,
|
||
"fieldValue": "={{ $('Send page Search data to A.I.').item.json.choices[0].message.content }}"
|
||
},
|
||
{
|
||
"fieldId": 5832,
|
||
"fieldValue": "={{ $json.choices[0].message.content }}"
|
||
},
|
||
{
|
||
"fieldId": 5829,
|
||
"fieldValue": "={{ DateTime.now() }}"
|
||
}
|
||
]
|
||
},
|
||
"operation": "create",
|
||
"databaseId": 121
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This baserow node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "e185c836-c12f-4452-92bd-0daaf33b653a",
|
||
"name": "Sticky Note2",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
2760,
|
||
180
|
||
],
|
||
"parameters": {
|
||
"color": 5,
|
||
"width": 441.7412987012988,
|
||
"height": 508.95792207792226,
|
||
"content": "## Send data to A.I.\n\nFill in your Openrouter A.I. credentials. Use Header Auth.\n- Username: Authorization\n- Password: Bearer {insert your API key}\n\nRemember to add a space after bearer. Also, feel free to modify the prompt to A.1."
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "a1de2d16-d09e-4c74-8be1-f6bab8c34246",
|
||
"name": "Sticky Note3",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
3220,
|
||
180
|
||
],
|
||
"parameters": {
|
||
"color": 6,
|
||
"width": 331.32883116883124,
|
||
"height": 474.88,
|
||
"content": "## Send data to Baserow\n\nCreate a table first with the following columns:\n- Name\n- Country Views\n- Page Views\n- Search Report\n- Blog \n\nEnter the name of your website under \"Blog\" field."
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
}
|
||
],
|
||
"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": "ac4b5eac-1c84-49ce-9ff7-794f857265b4",
|
||
"connections": {
|
||
"06c4478d-a13a-4587-9f1f-451a68798a9f": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "error-handler-06c4478d-a13a-4587-9f1f-451a68798a9f",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-06c4478d-a13a-4587-9f1f-451a68798a9f-c9cb485c",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-06c4478d-a13a-4587-9f1f-451a68798a9f-ea9045af",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-06c4478d-a13a-4587-9f1f-451a68798a9f-dfb5ab87",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-06c4478d-a13a-4587-9f1f-451a68798a9f-a21a462a",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-06c4478d-a13a-4587-9f1f-451a68798a9f-afe182ec",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-06c4478d-a13a-4587-9f1f-451a68798a9f-48954d96",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-06c4478d-a13a-4587-9f1f-451a68798a9f-16039ca5",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-06c4478d-a13a-4587-9f1f-451a68798a9f-767618ef",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"4ad522b0-afe4-4eff-aa16-b86cc892ead8": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "error-handler-4ad522b0-afe4-4eff-aa16-b86cc892ead8",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-4ad522b0-afe4-4eff-aa16-b86cc892ead8-625c6f0d",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-4ad522b0-afe4-4eff-aa16-b86cc892ead8-24164e41",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-4ad522b0-afe4-4eff-aa16-b86cc892ead8-e615017a",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-4ad522b0-afe4-4eff-aa16-b86cc892ead8-76060a2d",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-4ad522b0-afe4-4eff-aa16-b86cc892ead8-c941712f",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-4ad522b0-afe4-4eff-aa16-b86cc892ead8-d53b0b65",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-4ad522b0-afe4-4eff-aa16-b86cc892ead8-5e41ba32",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-4ad522b0-afe4-4eff-aa16-b86cc892ead8-1215da25",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"07e1eebf-f16a-44c0-83b5-76bf65a3d3fc": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "error-handler-07e1eebf-f16a-44c0-83b5-76bf65a3d3fc",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-07e1eebf-f16a-44c0-83b5-76bf65a3d3fc-c12b23d4",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-07e1eebf-f16a-44c0-83b5-76bf65a3d3fc-741bf129",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-07e1eebf-f16a-44c0-83b5-76bf65a3d3fc-f4d21b7a",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-07e1eebf-f16a-44c0-83b5-76bf65a3d3fc-ef7e5a50",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
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"description": "Automated workflow: Google analytics template. This workflow integrates 8 different services: stickyNote, httpRequest, code, scheduleTrigger, googleAnalytics. It contains 34 nodes and follows best practices for error handling and security.",
|
||
"notes": "Excellent quality workflow: Google analytics template. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
|
||
} |