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WebSearchEngine

https://www.text-mining.ro/ demonstrates how to design & implement a Web Search Engine

Install / Use

/learn @mihaimoga/WebSearchEngine
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

WebSearchEngine.png

WebSearchEngine

This project demonstrates the design and implementation of a basic Web Search Engine, showcasing key components such as web crawling, indexing, and query processing.

Overview

The search engine operates by crawling websites, parsing their content, and indexing relevant information for efficient retrieval. It respects the robots.txt protocol and extracts metadata such as:

  • Page titles
  • HTML content
  • JavaScript and CSS
  • Headings
  • Meta tags

Features

  • Web Crawler: Navigates through websites, obeying robots.txt directives.
  • Indexer: Processes and stores page content for fast lookup.
  • Query Processor: Handles user queries and retrieves relevant results.
  • Metadata Extraction: Captures structured data from HTML for improved relevance.

How It Works

1. Web Crawling

The engine starts by crawling web pages:

  • Downloads HTML content from URLs.
  • Follows links to discover new pages.
  • Respects robots.txt rules to avoid restricted areas.

It extracts:

  • Page titles
  • Headings (<h1>, <h2>, etc.)
  • Meta tags
  • JavaScript and CSS references
  • Raw HTML content

2. Indexing

After crawling, the engine processes and stores content in an index:

  • Tokenization: Breaks text into searchable words.
  • Normalization: Lowercases text, removes punctuation, etc.
  • Metadata Storage: Links each word to the page(s) it appears in, with frequency and position.

3. Query Processing

When a user enters a search query:

  • Parses the query.
  • Looks up relevant terms in the index.
  • Ranks pages based on relevance (e.g., term frequency, metadata match).
  • Returns results with titles, snippets, and links.

Technologies Used

  • C++ for core engine logic
  • HTML/CSS/JavaScript for front-end interface
  • Custom Semaphores for concurrency control

Getting Started

To run the project locally:

  1. Clone the repository:
    git clone https://github.com/mihaimoga/WebSearchEngine.git
    
  2. Build the project using your preferred C++ compiler or IDE.
  3. Launch the crawler and indexer modules.
  4. Use the front-end interface to perform search queries.

Demo

Visit text-mining.ro for a live demonstration.

License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

View on GitHub
GitHub Stars19
CategoryData
Updated4d ago
Forks8

Languages

C++

Security Score

95/100

Audited on Mar 26, 2026

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