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On-Page SEO Analyzer - Analyze your website's SEO performance
A comprehensive on-page SEO analysis tool that helps you audit and optimize your website's SEO performance. Analyze up to 500 pages at once with detailed insights on 74 SEO metrics.
Watch the journey from n8n workflow to full app on YouTube
Frontend:
Backend:
git clone https://github.com/AgriciDaniel/on-page-seo.git
cd on-page-seo
# Install all dependencies (root, client, and server)
npm run install:all
cp .env.example .env
Edit .env with your settings, or configure API keys through the app's settings page.
npm run dev
This starts both the client (http://localhost:3005) and server (http://localhost:3001).
| Command | Description |
|---|---|
npm run dev | Start both client and server in development mode |
npm run dev:client | Start only the client |
npm run dev:server | Start only the server |
npm run build | Build both client and server for production |
npm run start | Start the production server |
npm run install:all | Install dependencies for root, client, and server |
on-page-seo/
├── client/ # React frontend
│ ├── src/
│ │ ├── components/ # Reusable UI components
│ │ ├── features/ # Feature-based modules
│ │ ├── lib/ # API client and utilities
│ │ ├── routes/ # TanStack Router routes
│ │ └── types/ # TypeScript types
│ └── ...
├── server/ # Express backend
│ └── src/
│ ├── routes/ # API routes
│ ├── services/ # Business logic
│ └── db/ # Database layer
├── shared/ # Shared types
│ └── types/
├── data/ # SQLite database
└── ...
| Method | Endpoint | Description |
|---|---|---|
| POST | /api/audits | Start a new SEO audit |
| GET | /api/audits | List all audits |
| GET | /api/audits/:id | Get audit details with results |
| GET | /api/audits/:id/progress | SSE stream for real-time progress |
| GET | /api/audits/:id/export | Export audit as CSV or JSON |
| DELETE | /api/audits/:id | Delete an audit |
| GET | /api/settings | Get API configuration status |
| PUT | /api/settings | Update API credentials |
npm run build
NODE_ENV=production npm run start
The server will serve the built client files and handle API requests on the same port.
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
For a full publishing pipeline from analysis to published content, see Rankenstein.
Built by Agrici Daniel - AI Workflow Architect.
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