# ⚡ N8N Workflow Collection & Documentation

A professionally organized collection of **2,053 n8n workflows

*

* with a lightning-fast documentation system that provides instant search, analysis, and browsing capabilities.

> **⚠️ IMPORTANT NOTICE (Aug 14, 2025):

*

* Repository history has been rewritten due to DMCA compliance. If you have a fork or local clone, please see [Issue 85](<https://github.com/Zie619/n8n-workflows/issues/8>5) for instructions on syncing your copy.
> 

#

# Support My Work

[![Buy Me a Coffee](<https://img.shields.io/badge/-Buy%20Me%20a%20Coffee-ffdd00?logo=buy-me-a-coffee&logoColor=black&style=fla>t)](<https://www.buymeacoffee.com/zie61>9)

If you'd like to say thanks, consider buying me a coffee—your support helps me keep improving this project!

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# 🚀 **NEW: High-Performance Documentation System

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*

**Experience 100x performance improvement over traditional documentation!

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#

#

# Quick Start

 - Fast Documentation System
```text

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bash

# Install dependencies
pip install -r requirements.txt

# Start the fast API server
python run.py

# Open in browser
<http://localhost:8000>
```text

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**Features:

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- ⚡ **Sub-100ms response times

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* with SQLite FTS5 search

- 🔍 **Instant full-text search

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* with advanced filtering

- 📱 **Responsive design

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- works perfectly on mobile

- 🌙 **Dark/light themes

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* with system preference detection

- 📊 **Live statistics

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- 365 unique integrations, 29,445 total nodes

- 🎯 **Smart categorization

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* by trigger type and complexity

- 🎯 **Use case categorization

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* by service name mapped to categories

- 📄 **On-demand JSON viewing

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* and download

- 🔗 **Mermaid diagram generation

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* for workflow visualization

- 🔄 **Real-time workflow naming

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* with intelligent formatting

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# Performance Comparison

| Metric | Old System | New System | Improvement |
|--------|------------|------------|-------------|
| **File Size

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* | 71MB HTML | <100KB | **700x smaller

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* |
| **Load Time

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* | 10

+ seconds | <1 second | **10x faster

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| **Search

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* | Client-side only | Full-text with FTS5 | **Instant

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| **Memory Usage

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* | ~2GB RAM | <50MB RAM | **40x less

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| **Mobile Support

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* | Poor | Excellent | **Fully responsive

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# 📂 Repository Organization

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# Workflow Collection

- **2,053 workflows

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* with meaningful, searchable names

- **365 unique integrations

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* across popular platforms

- **29,445 total nodes

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* with professional categorization

- **Quality assurance

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- All workflows analyzed and categorized

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# Advanced Naming System ✨
Our intelligent naming system converts technical filenames into readable titles:

- **Before**: `2051_Telegram_Webhook_Automation_Webhook.json`

- **After**: `Telegram Webhook Automation`

- **100% meaningful names

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* with smart capitalization

- **Automatic integration detection

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* from node analysis

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# Use Case Category ✨

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.

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# How Categorization Works

1. **Run the categorization script

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*
   

```text

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   python create_categories.py
   

```text

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2. **Service Name Recognition

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

3. **Category Mapping

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   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

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   The script produces a `search_categories.json` file that contains the categorized workflow data

5. **Filter Interface

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

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# Available Categories

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

#

#

# Contribute Categories

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 (_).

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# 🛠 Usage Instructions

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# Option 1: Modern Fast System (Recommended)
```text

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bash

# 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>

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 - Instant search across 2,053 workflows

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 - Professional responsive interface

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 - Real-time workflow statistics
```text

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# Option 2: Development Mode
```text

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bash

# 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
```text

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# Import Workflows into n8n
```text

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bash

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

# Or manually import individual workflows

#

 1. Open your n8n Editor UI

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 2. Click menu (☰) → Import workflow

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 3. Choose any .json file from the workflows/ folder

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 4. Update credentials/webhook URLs before running
```text

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# 📊 Workflow Statistics

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# Current Collection Stats

- **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

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# Trigger Distribution

- **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

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#

# Complexity Analysis

- **Low (≤5 nodes)**: ~35%

 - Simple automations

- **Medium (6-15 nodes)**: ~45%

 - Standard workflows

- **High (16

+ nodes)**: ~20%

 - Complex enterprise systems

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# Popular Integrations
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

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# 🔍 Advanced Search Features

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# Smart Search Categories
Our system automatically categorizes workflows into 12 service categories:

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## Available 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

#

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# API Usage Examples
```text

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bash

# 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">
```text

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# 🏗 Technical Architecture

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# Modern Stack

- **SQLite Database

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- FTS5 full-text search with 365 indexed integrations

- **FastAPI Backend

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- RESTful API with automatic OpenAPI documentation

- **Responsive Frontend

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- Modern HTML5 with embedded CSS/JavaScript

- **Smart Analysis

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- Automatic workflow categorization and naming

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# Key Features

- **Change Detection

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- MD5 hashing for efficient re-indexing

- **Background Processing

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- Non-blocking workflow analysis

- **Compressed Responses

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- Gzip middleware for optimal speed

- **Error Handling

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- Graceful degradation and comprehensive logging

- **Mobile Optimization

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- Touch-friendly interface design

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# Database Performance
```text

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sql

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- 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
);

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

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# 🔧 Setup & Requirements

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# System Requirements

- **Python 3.7+

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- For running the documentation system

- **Modern Browser

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- Chrome, Firefox, Safari, Edge

- **50MB Storage

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- For SQLite database and indexes

- **n8n Instance

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- For importing and running workflows

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#

# Installation
```text

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bash

# 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>
```text

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#

#

# Development Setup
```text

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bash

# 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
```text

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# 📋 Naming Convention

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# Intelligent Formatting System
Our system automatically converts technical filenames to user-friendly names:

```text

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bash

# 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"
```text

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# Technical Format
```text

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

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# Smart Capitalization Rules

- **HTTP

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* → HTTP (not Http)

- **API

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* → API (not Api)

  

- **webhook

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* → Webhook

- **automation

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* → Automation

- **scheduled

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* → Scheduled

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# 🚀 API Documentation

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# Core Endpoints

- `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

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#

# Advanced Search

- `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

#

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# Response Examples
```text

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

text

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# 🤝 Contributing

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# Adding New Workflows

1. **Export workflow

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* as JSON from n8n

2. **Name descriptively

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* following the established pattern

3. **Add to workflows/

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* directory

4. **Remove sensitive data

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* (credentials, personal URLs)

5. **Run reindexing

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* to update the database

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# Quality Standards

- ✅ 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

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# ⚠️ Important Notes

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# Security & Privacy

- **Review before use

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- All workflows shared as-is for educational purposes

- **Update credentials

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- Replace API keys, tokens, and webhooks

- **Test safely

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- Verify in development environment first

- **Check permissions

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- Ensure proper access rights for integrations

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# Compatibility

- **n8n Version

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- Compatible with n8n 1.0

+ (most workflows)

- **Community Nodes

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- Some workflows may require additional node installations

- **API Changes

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- External services may have updated their APIs since creation

- **Dependencies

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- Verify required integrations before importing

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# 📚 Resources & References

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# Workflow Sources
This comprehensive collection includes workflows from:

- **Official n8n.io

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- Documentation and community examples

- **GitHub repositories

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- Open source community contributions

  

- **Blog posts & tutorials

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- Real-world automation patterns

- **User submissions

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- Tested and verified workflows

- **Enterprise use cases

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- Business process automations

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#

# Learn More

- [n8n Documentation](<https://docs.n8n.io>/)

 - Official documentation

- [n8n Community](<https://community.n8n.io>/)

 - Community forum and support

- [Workflow Templates](<https://n8n.io/workflows>/)

 - Official template library

- [Integration Docs](<https://docs.n8n.io/integrations>/)

 - Service-specific guides

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# 🏆 Project Achievements

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# Repository Transformation

- **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

#

#

# Performance Revolution

- **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

#

#

# System Reliability

- **Robust error handling

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* with graceful degradation

- **Change detection

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* for efficient database updates

- **Background processing

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* for non-blocking operations

- **Comprehensive logging

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* for debugging and monitoring

- **Production-ready

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* with proper middleware and security

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*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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[中文](./README_ZH.md)