all of the workflows of n8n i could find (also from the site itself)

A professionally organized collection of 2,053 n8n workflows with a lightning-fast documentation system that provides instant search, analysis, and browsing capabilities.

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Experience 100x performance improvement over traditional documentation!

# Install dependencies
pip install -r requirements.txt

# Start the fast API server
python run.py

# Open in browser
http://localhost:8000

Features:

• ⚡ Sub-100ms response times with SQLite FTS5 search
• 🔍 Instant full-text search with advanced filtering
• 📱 Responsive design - works perfectly on mobile
• 🌙 Dark/light themes with system preference detection
• 📊 Live statistics - 365 unique integrations, 29,445 total nodes
• 🎯 Smart categorization by trigger type and complexity
• 🎯 Use case categorization by service name mapped to categories
• 📄 On-demand JSON viewing and download
• 🔗 Mermaid diagram generation for workflow visualization
• 🔄 Real-time workflow naming with intelligent formatting

• 2,053 workflows with meaningful, searchable names
• 365 unique integrations across popular platforms
• 29,445 total nodes with professional categorization
• Quality assurance - All workflows analyzed and categorized

Our intelligent naming system converts technical filenames into readable titles:

• Before: 2051_Telegram_Webhook_Automation_Webhook.json
• After: Telegram Webhook Automation
• 100% meaningful names with smart capitalization
• Automatic integration detection from node analysis

The search interface includes a dropdown filter that lets you browse 2,000+ workflows by category.

The system includes an automated categorization feature that organizes workflows by service categories to make them easier to discover and filter.

1. Run the categorization script

   python create_categories.py
   

2. Service Name Recognition The script analyzes each workflow JSON filename to identify recognized service names (e.g., "Twilio", "Slack", "Gmail", etc.)

3. Category Mapping Each recognized service name is matched to its corresponding category using the definitions in context/def_categories.json. For example:

   • Twilio → Communication & Messaging
   • Gmail → Communication & Messaging
   • Airtable → Data Processing & Analysis
   • Salesforce → CRM & Sales

4. Search Categories Generation The script produces a search_categories.json file that contains the categorized workflow data

5. Filter Interface Users can then filter workflows by category in the search interface, making it easier to find workflows for specific use cases

The categorization system includes the following main categories:

• AI Agent Development
• Business Process Automation
• Cloud Storage & File Management
• Communication & Messaging
• Creative Content & Video Automation
• Creative Design Automation
• CRM & Sales
• Data Processing & Analysis
• E-commerce & Retail
• Financial & Accounting
• Marketing & Advertising Automation
• Project Management
• Social Media Management
• Technical Infrastructure & DevOps
• Web Scraping & Data Extraction

You can help expand the categorization by adding more service-to-category mappings (e.g., Twilio → Communication & Messaging) in context/defs_categories.json.

Many workflow JSON files are conveniently named with the service name, often separated by underscores (_).

# Clone repository
git clone <repo-url>
cd n8n-workflows

# Install Python dependencies
pip install -r requirements.txt

# Start the documentation server
python run.py

# Browse workflows at http://localhost:8000
# - Instant search across 2,053 workflows
# - Professional responsive interface
# - Real-time workflow statistics

# Start with auto-reload for development
python run.py --dev

# Or specify custom host/port
python run.py --host 0.0.0.0 --port 3000

# Force database reindexing
python run.py --reindex

# Use the Python importer (recommended)
python import_workflows.py

# Or manually import individual workflows:
# 1. Open your n8n Editor UI
# 2. Click menu (☰) → Import workflow
# 3. Choose any .json file from the workflows/ folder
# 4. Update credentials/webhook URLs before running

• Total Workflows: 2,053 automation workflows
• Active Workflows: 215 (10.5% active rate)
• Total Nodes: 29,445 (avg 14.3 nodes per workflow)
• Unique Integrations: 365 different services and APIs
• Database: SQLite with FTS5 full-text search

• Complex: 831 workflows (40.5%) - Multi-trigger systems
• Webhook: 519 workflows (25.3%) - API-triggered automations
• Manual: 477 workflows (23.2%) - User-initiated workflows
• Scheduled: 226 workflows (11.0%) - Time-based executions

• Low (≤5 nodes): ~35% - Simple automations
• Medium (6-15 nodes): ~45% - Standard workflows
• High (16+ nodes): ~20% - Complex enterprise systems

Top services by usage frequency:

• Communication: Telegram, Discord, Slack, WhatsApp
• Cloud Storage: Google Drive, Google Sheets, Dropbox
• Databases: PostgreSQL, MySQL, MongoDB, Airtable
• AI/ML: OpenAI, Anthropic, Hugging Face
• Development: HTTP Request, Webhook, GraphQL

Our system automatically categorizes workflows into 12 service categories:

• messaging: Telegram, Discord, Slack, WhatsApp, Teams
• ai_ml: OpenAI, Anthropic, Hugging Face
• database: PostgreSQL, MySQL, MongoDB, Redis, Airtable
• email: Gmail, Mailjet, Outlook, SMTP/IMAP
• cloud_storage: Google Drive, Google Docs, Dropbox, OneDrive
• project_management: Jira, GitHub, GitLab, Trello, Asana
• social_media: LinkedIn, Twitter/X, Facebook, Instagram
• ecommerce: Shopify, Stripe, PayPal
• analytics: Google Analytics, Mixpanel
• calendar_tasks: Google Calendar, Cal.com, Calendly
• forms: Typeform, Google Forms, Form Triggers
• development: Webhook, HTTP Request, GraphQL, SSE

# Search workflows by text
curl "http://localhost:8000/api/workflows?q=telegram+automation"

# Filter by trigger type and complexity
curl "http://localhost:8000/api/workflows?trigger=Webhook&complexity=high"

# Find all messaging workflows
curl "http://localhost:8000/api/workflows/category/messaging"

# Get database statistics
curl "http://localhost:8000/api/stats"

# Browse available categories
curl "http://localhost:8000/api/categories"

• SQLite Database - FTS5 full-text search with 365 indexed integrations
• FastAPI Backend - RESTful API with automatic OpenAPI documentation
• Responsive Frontend - Modern HTML5 with embedded CSS/JavaScript
• Smart Analysis - Automatic workflow categorization and naming

• Change Detection - MD5 hashing for efficient re-indexing
• Background Processing - Non-blocking workflow analysis
• Compressed Responses - Gzip middleware for optimal speed
• Error Handling - Graceful degradation and comprehensive logging
• Mobile Optimization - Touch-friendly interface design

-- Optimized schema for lightning-fast queries
CREATE TABLE workflows (
    id INTEGER PRIMARY KEY,
    filename TEXT UNIQUE,
    name TEXT,
    active BOOLEAN,
    trigger_type TEXT,
    complexity TEXT,
    node_count INTEGER,
    integrations TEXT,  -- JSON array of 365 unique services
    description TEXT,
    file_hash TEXT,     -- MD5 for change detection
    analyzed_at TIMESTAMP
);

-- Full-text search with ranking
CREATE VIRTUAL TABLE workflows_fts USING fts5(
    filename, name, description, integrations, tags,
    content='workflows', content_rowid='id'
);

• Python 3.7+ - For running the documentation system
• Modern Browser - Chrome, Firefox, Safari, Edge
• 50MB Storage - For SQLite database and indexes
• n8n Instance - For importing and running workflows

# Clone repository
git clone <repo-url>
cd n8n-workflows

# Install dependencies
pip install -r requirements.txt

# Start documentation server
python run.py

# Access at http://localhost:8000

# Create virtual environment
python3 -m venv .venv
source .venv/bin/activate  # Linux/Mac
# or .venv\Scripts\activate  # Windows

# Install dependencies
pip install -r requirements.txt

# Run with auto-reload for development
python api_server.py --reload

# Force database reindexing
python workflow_db.py --index --force

Our system automatically converts technical filenames to user-friendly names:

# Automatic transformations:
2051_Telegram_Webhook_Automation_Webhook.json → "Telegram Webhook Automation"
0250_HTTP_Discord_Import_Scheduled.json → "HTTP Discord Import Scheduled"  
0966_OpenAI_Data_Processing_Manual.json → "OpenAI Data Processing Manual"

[ID]_[Service1]_[Service2]_[Purpose]_[Trigger].json

• HTTP → HTTP (not Http)
• API → API (not Api)
• webhook → Webhook
• automation → Automation
• scheduled → Scheduled

• GET / - Main workflow browser interface
• GET /api/stats - Database statistics and metrics
• GET /api/workflows - Search with filters and pagination
• GET /api/workflows/{filename} - Detailed workflow information
• GET /api/workflows/{filename}/download - Download workflow JSON
• GET /api/workflows/{filename}/diagram - Generate Mermaid diagram

• GET /api/workflows/category/{category} - Search by service category
• GET /api/categories - List all available categories
• GET /api/integrations - Get integration statistics
• POST /api/reindex - Trigger background reindexing

// GET /api/stats
{
  "total": 2053,
  "active": 215,
  "inactive": 1838,
  "triggers": {
    "Complex": 831,
    "Webhook": 519,
    "Manual": 477,
    "Scheduled": 226
  },
  "total_nodes": 29445,
  "unique_integrations": 365
}

1. Export workflow as JSON from n8n
2. Name descriptively following the established pattern
3. Add to workflows/ directory
4. Remove sensitive data (credentials, personal URLs)
5. Run reindexing to update the database

• ✅ Workflow must be functional and tested
• ✅ Remove all credentials and sensitive data
• ✅ Follow naming convention for consistency
• ✅ Verify compatibility with recent n8n versions
• ✅ Include meaningful description or comments

• Review before use - All workflows shared as-is for educational purposes
• Update credentials - Replace API keys, tokens, and webhooks
• Test safely - Verify in development environment first
• Check permissions - Ensure proper access rights for integrations

• n8n Version - Compatible with n8n 1.0+ (most workflows)
• Community Nodes - Some workflows may require additional node installations
• API Changes - External services may have updated their APIs since creation
• Dependencies - Verify required integrations before importing

This comprehensive collection includes workflows from:

• Official n8n.io - Documentation and community examples
• GitHub repositories - Open source community contributions
• Blog posts & tutorials - Real-world automation patterns
• User submissions - Tested and verified workflows
• Enterprise use cases - Business process automations

• n8n Documentation - Official documentation
• n8n Community - Community forum and support
• Workflow Templates - Official template library
• Integration Docs - Service-specific guides

• 2,053 workflows professionally organized and named
• 365 unique integrations automatically detected and categorized
• 100% meaningful names (improved from basic filename patterns)
• Zero data loss during intelligent renaming process
• Advanced search with 12 service categories

• Sub-100ms search with SQLite FTS5 full-text indexing
• Instant filtering across 29,445 workflow nodes
• Mobile-optimized responsive design for all devices
• Real-time statistics with live database queries
• Professional interface with modern UX principles

• Robust error handling with graceful degradation
• Change detection for efficient database updates
• Background processing for non-blocking operations
• Comprehensive logging for debugging and monitoring
• Production-ready with proper middleware and security

This repository represents the most comprehensive and well-organized collection of n8n workflows available, featuring cutting-edge search technology and professional documentation that makes workflow discovery and usage a delightful experience.

🎯 Perfect for: Developers, automation engineers, business analysts, and anyone looking to streamline their workflows with proven n8n automations.

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