Website SEO Analyzer

The Website SEO Analyzer is a Python-based tool designed to help website owners, digital marketers, and SEO professionals automatically audit websites for search engine optimization (SEO) issues.

The tool crawls a website, analyzes internal pages, and generates a comprehensive SEO report including page titles, meta descriptions, headings, broken links, and potential improvement suggestions. It also provides AI-style recommendations for enhancing page SEO.

This project is especially useful for:

  • Website owners who want to improve their search rankings
  • Digital marketers looking for automated SEO audits
  • Students and developers learning web scraping and SEO automation

  1. Crawl internal pages up to a configurable depth (default = 2).
  2. Extract page data including:
    • URL
    • Title
    • Meta Description
    • Headings (H1, H2)
  3. Detect SEO issues such as:
    • Missing or duplicate titles
    • Missing meta descriptions
    • Missing or multiple H1 tags
  4. Identify broken links on each page.
  5. Generate a report in CSV and JSON format.
  6. Provide AI-style SEO suggestions for improvements.

  • Programming Language: Python
  • Web Scraping: BeautifulSoup
  • HTTP Requests: requests
  • URL Handling: urllib.parse
  • Data Analysis & Reporting: pandas
  • URL Validation: validators (optional, can be replaced with built-in functions)

  • Python 3.x
  • Code Editor: VS Code / PyCharm / Jupyter Notebook
  • Browser for testing (Chrome, Firefox, etc.)
  • Terminal / Command Prompt for running scripts

  1. Input the URL of the website to analyze.
  2. The tool recursively crawls internal links up to the specified depth.
  3. For each page, it collects SEO-related data and performs checks.
  4. Broken links are detected using HTTP status codes.

All results, including AI-style suggestions, are saved in CSV and JSON files for further analysis.



⚠️ Note: This project is for educational purposes only. Not for commercial sale.