https://github.com/techycode-01/seo-analyzer-web-app
A modern SEO Analyzer Web App built with React and Node.js that leverages TextRazor API for intelligent keyword extraction, readability scoring, and content optimization suggestions. Features include keyword density analysis, content statistics, and real-time SEO recommendations.
https://github.com/techycode-01/seo-analyzer-web-app
content-analysis keyword-extraction nodejs react readability-analysis seo-analyzer seo-tools textrazor-api
Last synced: 3 months ago
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A modern SEO Analyzer Web App built with React and Node.js that leverages TextRazor API for intelligent keyword extraction, readability scoring, and content optimization suggestions. Features include keyword density analysis, content statistics, and real-time SEO recommendations.
- Host: GitHub
- URL: https://github.com/techycode-01/seo-analyzer-web-app
- Owner: techycode-01
- Created: 2025-06-06T19:04:53.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-06-07T11:33:27.000Z (4 months ago)
- Last Synced: 2025-06-22T04:43:07.500Z (4 months ago)
- Topics: content-analysis, keyword-extraction, nodejs, react, readability-analysis, seo-analyzer, seo-tools, textrazor-api
- Language: JavaScript
- Homepage: https://seo-analyzer-frontend.onrender.com
- Size: 65.4 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# SEO Analyzer Web App
A powerful single-page web application that helps content creators optimize their text for search engines. Perfect for analyzing blogs, newsletters, tweets, or social media captions to improve their SEO performance.
## 🌟 Features
### Content Analysis
- 📊 Detailed Content Statistics
- Word count
- Sentence count
- Character count
- Keyword density
- 📖 Smart Readability Analysis
- Easy/Medium/Hard score
- Based on Flesch Reading Ease formula
- Helps make content more accessible
### Keyword Tools
- 🔑 Intelligent Keyword Analysis
- Identifies most relevant keywords
- Shows keyword frequency
- Calculates keyword density
- Suggests optimization opportunities
- ✨ Smart Keyword Insertion
- One-click keyword insertion
- Maintains text coherence
- Automatically finds best placement
- Preserves original content flow
### SEO Optimization
- 💡 Real-time SEO Suggestions
- Content length recommendations
- Keyword distribution advice
- Readability improvements
- Best practices tips
## 🚀 Getting Started
### Prerequisites
- Node.js (14.0 or higher)
- npm (6.0 or higher)
- Modern web browser
- Chrome (recommended)
- Firefox
- Safari
- Edge
### Installation
1. Clone the repository:
```bash
git clone [repository-url]
cd seo-analyzer-app
```
2. Install backend dependencies:
```bash
cd server
npm install
```
3. Install frontend dependencies:
```bash
cd ../client
npm install
```
### Running the Application
1. Start the backend server:
```bash
cd server
npm start
```
Server runs at http://localhost:5000
2. Start the frontend (in a new terminal):
```bash
cd client
npm start
```
Application opens at http://localhost:3000
## 📝 How to Use
1. **Input Your Content**
- Open the application in your browser
- Paste your text in the input area
- Click "Analyze Text"
2. **View Analysis Results**
- See readability score
- Review content statistics
- Check keyword analysis
- Read SEO suggestions
3. **Optimize Your Content**
- Review suggested keywords
- Click "Insert" next to any keyword
- See real-time text updates
- Review the improved content
## 🔧 Technical Architecture
### Frontend (React)
- Single-page application
- Real-time content updates
- Responsive design
- Modern UI/UX
### Backend (Node.js + Express)
- RESTful API endpoints
- Text analysis engine
- Keyword extraction algorithm
- Smart keyword insertion logic
## 📁 Project Structure
```
seo-analyzer-app/
├── client/ # Frontend React application
│ ├── src/
│ │ ├── App.jsx # Main application component
│ │ ├── App.css # Application styles
│ │ └── index.js # Entry point
│ ├── public/ # Static files
│ └── package.json # Frontend dependencies
│
├── server/ # Backend Node.js server
│ ├── index.js # Server implementation
│ └── package.json # Backend dependencies
│
└── README.md # Project documentation
```
## 🛠️ API Endpoints
### POST /analyze
- Analyzes submitted text
- Returns SEO metrics and suggestions
- Provides keyword recommendations
### POST /insert-keyword
- Handles keyword insertion
- Maintains text coherence
- Returns updated content
## 💻 Development
The application is built with modern web technologies and follows best practices for:
- Clean code architecture
- Responsive design
- Error handling
- User experience
## 🤝 Contributing
Feel free to:
- Submit bug reports
- Propose new features
- Improve documentation