SEO Analysis Tool

This is a badly written but useful Python-based SEO Analysis Script with human readable output. It can analyze content, media, links, server information, and more, providing a comprehensive overview of a webpage's SEO status - right from your command line.

Features

• Content Analysis: Extracts and evaluates heading tags (H1, H2, H3) for SEO optimization.
• Media Analysis: Analyzes images, videos, and audio files for SEO relevance.
• Link Analysis: Checks internal and external links, verifies their status, and provides HTTP status codes.
• Server Information: Retrieves server details, checks for sitemap.xml and robots.txt, and validates SSL certificates.
• Semantic Analysis: Detects document language, filters out stopwords, and identifies relevant keywords.
• Google Index Check: Verifies if the URL is indexed by Google.

Installation

1. Clone the repository:

   git clone [URL]
   cd seo-cl-analysis

2. Install the required dependencies:

   pip install -r requirements.txt

3. Download NLTK stopwords:

   import nltk
   nltk.download('stopwords')

Usage

Run the script with the desired parameters:

python seo-cl-analysis.py --url "http://example.com" [options]

Options

• --url <URL>: (Required) The URL to analyze.
• -f, --follow: (Recommended) Follow redirects until there are no more.
• -m, --media: Analyze media content (video, audio, images) on the page.
• -l, --links: Output all internal and external links on the page.
• -s, --server: Check for sitemap, robots.txt, SSL certificate status, and server info.
• -g, --google: Check if the URL is indexed by Google.
• -c, --content: Output heading tags (H1, H2, H3) from the page.
• -e, --semantic: Perform semantic analysis on the page content.
• -a, --all: Run all checks and outputs (equivalent to setting all parameters).

Example

To perform a full analysis on a webpage:

python seo-cl-analysis.py --url "http://example.com" --all

To perform only a semantic analysis:

python seo-cl-analysis.py --url "http://example.com" --semantic

Contributing

Contributions are welcome! Please open an issue to discuss your ideas or create a pull request with your enhancements.

License

This project is licensed under the MIT License.