Functional Description - sbuddharaju369/WebsiteAnalyzer GitHub Wiki
What It Does
The Web Content Analyzer is an intelligent web scraping and analysis platform that transforms any website into a searchable knowledge base using artificial intelligence. Think of it as a tool that can "read" an entire website and then answer questions about its content with human-like understanding.
Core Functionality
Intelligent Web Crawling
The application automatically discovers and crawls all pages within a website domain. Starting from any URL you provide, it systematically finds and follows internal links, extracting clean text content from each page while respecting website policies and rate limits. It can process anywhere from a few pages to hundreds, depending on your needs.
AI-Powered Content Analysis
Once content is extracted, the system breaks it into intelligent chunks and creates semantic embeddings using OpenAI's technology. This allows it to understand the meaning and context of the content, not just keyword matches. The processed content is stored in a vector database for lightning-fast retrieval.
Natural Language Question Answering
You can ask questions about the website content in plain English, and the system will search through all the crawled pages to find relevant information and provide comprehensive answers. It cites its sources and provides confidence scores for answer reliability.
Key Features
- Smart Discovery: Automatically finds all accessible pages within a website domain through recursive link following and sitemap analysis.
- Content Intelligence: Uses advanced AI to understand content meaning and context, enabling sophisticated question answering beyond simple keyword matching.
- Real-Time Analytics: Provides detailed visualizations of the crawled content including word distributions, page relationships, and network graphs showing how pages connect.
- Persistent Knowledge: Saves processed content with embeddings for instant reuse, eliminating the need to re-crawl and re-process the same website multiple times.
- Interactive Interface: Features a comprehensive dashboard with collapsible navigation, real-time progress tracking, and multiple analysis views including raw content browsing and semantic search.
Use Cases
- Research: Quickly understand what a company or organization offers by analyzing their entire website
- Competitive Analysis: Deep-dive into competitor websites to understand their positioning and offerings
- Content Audit: Analyze your own website to understand content gaps or inconsistencies
- Due Diligence: Rapidly extract key information from target company websites
- Knowledge Management: Convert website content into a searchable knowledge base
Technical Approach
The system employs a sophisticated multi-stage pipeline: respectful web crawling with rate limiting, intelligent content extraction using industry-standard tools, AI-powered text chunking with semantic boundary detection, OpenAI embedding generation for vector similarity search, and persistent storage with caching for performance optimization.
The result is a powerful tool that can digest entire websites and make their content intelligently searchable and analyzable through natural language interaction.