AyaTarek95 / SSEO-Analyzer

SEO Analyzer with Flask

SSEO-Analyzer - Web App for SEO Analysis

This README.md file provides an overview of the SSEO-Analyzer web application, a Flask-based SEO analyzer built with Python.

Features:

• Analyzes a user-provided URL for SEO best practices.
• Checks for elements like title presence, length, meta description, H1 tag presence and order, image alt text, and keyword usage.
• Saves analysis results in a user-specific search history for future reference.
• User registration, login, and logout functionalities.

Technologies:

• Flask web framework
• Python programming language
• Flask-SQLAlchemy for database interactions
• HTML for structuring content
• CSS for styling
• Jinja templating engine

Project Structure:

SSEO-Analyzer/
├── app/
│   ├── __init__.py         (file to initialize the app package)
│   ├── models.py           (Defines database models, for users and search history)
│   ├── views.py            (Handles user interactions like login, analysis, and history)
│   ├── utils.py            (Contains utility functions used in the app)
│   └── templates/
│       ├── base.html        (Base template for all app pages)
│       └── ...               (Other HTML templates for specific functionalities)
├── config.py               (Configuration file for app settings)
├── run.py                   (Script to start the web application)
└── static/
    ├── css/
    └── img/
|__requirements.txt
|__english

Using the Web App:

1. Sign Up: Create a new user account. Upon successful signup, you'll be automatically logged in.
2. Analyze a URL: Go to the analyzer page (likely accessible from the navbar).
3. Enter URL: Paste the URL you want to analyze into the designated input field.
4. Click Analyze: The app will analyze the URL and redirect you to the results page.
5. View Results: The results page will display information about the analyzed elements and potential SEO improvements.
6. Access Search History: Click on the "History" tab in the navbar to view your past URL analyses with timestamps.

Note: When analyzing the same URL again, the search history will be updated with the latest analysis results.

License:

This project is licensed under [License Name] (replace with the actual license used).

Authors

Abdullah Mosbah - Github / Twitter - [e-mail] Aya Tarek - Github / Twitter [e-mail]