🚀 Professional-grade web scraping tool with modern Flask interface
Built by Intelligence on Chain - Blockchain and OSInt Investigations

• Overview
• Features
• Quick Start
• Installation
• Usage
• Configuration
• API Reference
• Contributing
• License
• About Intelligence on Chain

The IOC Web Scraper is a sophisticated, web-based application that enables users to download entire websites with all their assets through an intuitive browser interface. Built with enterprise-grade reliability and ethical scraping practices, this tool is perfect for archival, analysis, and offline content storage.

• 🛡️ Ethical by Design - Respects robots.txt and implements proper crawling etiquette
• 📦 Complete Asset Capture - Downloads HTML, CSS, JavaScript, images, and media files
• ⚡ Real-time Progress - Live updates with detailed statistics during scraping
• 🎨 Modern Interface - Professional Bootstrap UI with responsive design
• 🔧 Highly Configurable - Adjustable depth, delays, and crawling parameters
• 📁 Easy Export - Packaged downloads in convenient ZIP format

• 🌐 Full Website Downloads - Capture complete websites for offline viewing
• 📊 Real-time Progress Tracking - Monitor pages scraped, files downloaded, and current activity
• ⚙️ Configurable Crawling - Set depth limits, request delays, and respect directives
• 📦 ZIP Packaging - Automatic compression and organization of scraped content
• 🔄 Background Processing - Non-blocking scraping with job management

• 🐍 Python Flask Backend - Robust server-side processing
• 🔧 BeautifulSoup Integration - Advanced HTML parsing and link extraction
• 🎨 Bootstrap 5 Frontend - Modern, responsive user interface
• 📝 Comprehensive Logging - Detailed logs for debugging and monitoring
• 🛡️ Error Handling - Graceful failure management and recovery

• 🤖 Robots.txt Compliance - Automatic respect for website crawling directives
• ⏱️ Rate Limiting - Configurable delays to prevent server overload
• 📋 Job Management - Track multiple scraping operations
• 💾 Persistent Storage - Organized file structure for easy access

Get up and running in under 2 minutes:

# Clone the repository
gh repo clone IOCOfficial/webScraper
cd webscraper

# Run the automated installer
chmod +x webscraper.sh
./webscraper.sh

Open your browser to http://localhost:8080 and start scraping! 🎉

• Python 3.8 or higher
• pip package manager
• Virtual environment (recommended)

git clone https://github.com/IOCOfficial/webScraper.git
cd webScraper
./install_and_run.sh

# Clone repository
git clone https://github.com/IOCOfficial/webScraper.git
cd webScraper

# Create virtual environment
python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run the application
python app.py

1. Enter Target URL

   https://example.com
   

2. Configure Options

   • Crawl Depth: 1-4 levels (how deep to follow links)
   • Request Delay: 0.1-10.0 seconds (politeness interval)
   • Respect robots.txt: Enable/disable robots.txt compliance

3. Start Scraping

   • Click "Start Professional Scraping"
   • Monitor real-time progress
   • Download ZIP when complete

export FLASK_HOST=0.0.0.0
export FLASK_PORT=8080
export FLASK_DEBUG=False
export SECRET_KEY=your-secret-key-here

# In scraper.py, modify these defaults:
DEFAULT_DELAY = 1.0        # Seconds between requests
DEFAULT_TIMEOUT = 30       # Request timeout
DEFAULT_USER_AGENT = "..."  # Custom user agent

scraped_sites/
├── job_[uuid]/
│   ├── index.html
│   ├── assets/
│   │   ├── css/
│   │   ├── js/
│   │   └── images/
│   └── scraper.log
└── job_[uuid].zip

POST /start_scrape
Content-Type: application/json

{
    "url": "https://example.com",
    "max_depth": 2,
    "delay": 1.0,
    "respect_robots": true
}

GET /job_status/{job_id}

Response:
{
    "job_id": "uuid",
    "status": "running",
    "progress": 45.5,
    "pages_scraped": 12,
    "files_downloaded": 89,
    "message": "Scraping: https://example.com/page1"
}

GET /download/{job_id}

Returns: ZIP file download

• 🏢 Website Archival - Preserve important web content
• 📈 Competitive Analysis - Study competitor websites offline
• 🔍 SEO Research - Analyze website structures and content
• 📋 Compliance Documentation - Capture evidence of web content

• 🧪 Testing Environments - Create offline versions for testing
• 📚 Content Migration - Extract content for platform migrations
• 🎓 Academic Research - Gather web data for studies
• 🔧 Website Analysis - Understand site architecture and dependencies

We welcome contributions from the community! Here's how to get started:

# Fork the repository and clone your fork
git clone https://github.com/IOCOfficial/webScraper.git
cd webScraper

# Create a development branch
git checkout -b feature/your-feature-name

# Install development dependencies
pip install -r requirements-dev.txt

# Make your changes and test
python -m pytest tests/

# Submit a pull request

Found a bug or have a feature request? Please open an issue with:

• 🐛 Bug description and steps to reproduce
• 💻 Your environment details (OS, Python version)
• 📝 Expected vs actual behavior
• 📸 Screenshots if applicable

This project is licensed under the MIT License - see the LICENSE file for details.

MIT License - feel free to use, modify, and distribute this software.

• 🐛 Bug Reports: GitHub Issues
• 💬 Discussions: Join the Bureau!
• 📖 Documentation: Wiki
• 💬 **Follow Us **: Social Media