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Java Web Scraper Project

Overview

This is a robust and flexible web scraping application designed to extract data from websites efficiently and reliably. The project provides a comprehensive set of tools for web scraping, including concurrent processing, rate limiting, error handling, and detailed statistics tracking.

Features

1. Concurrent Web Scraping

  • Multi-threaded scraping with configurable thread count
  • Efficient task management using ExecutorService
  • Supports processing multiple URLs simultaneously

2. Advanced Data Processing

  • Flexible DataProcessor for transforming and sanitizing scraped content
  • Metadata extraction and storage
  • Content filtering and sanitization options

3. Robust Error Handling

  • Retry mechanism for failed scrapes
  • Detailed error tracking and categorization
  • Exponential backoff for retry attempts

4. Rate Limiting

  • Prevents overwhelming target websites
  • Configurable delay between requests
  • Domain-based access tracking

5. Comprehensive Statistics

  • Track successful and failed scrapes
  • Monitor processing times
  • Collect domain-specific statistics
  • Generate detailed scraping reports

Key Components

WebScraper

  • Main scraping engine
  • Manages URL queue and concurrent processing
  • Supports custom configuration via builder pattern

ScraperWorker

  • Individual worker for scraping a single URL
  • Handles retry logic
  • Extracts metadata and content

DataProcessor

  • Processes and transforms scraped data
  • Applies content filters
  • Supports listener pattern for custom processing

ScraperStats

  • Tracks and analyzes scraping performance
  • Generates detailed statistical reports
  • Monitors error types, content types, and domain performance

ScrapeData

  • Represents scraped data from a single URL
  • Stores content, metadata, and processing information
  • Supports builder pattern for flexible object creation

Example Usage

// Create a WebScraper with custom configuration
WebScraper scraper = WebScraper.builder()
    .threadCount(4)
    .timeout(15000)
    .delayBetweenRequests(1000)
    .build();

// Add URLs to scrape
scraper.addUrl("http://books.toscrape.com/");
scraper.start();

// Get scraping results
List<ScrapeData> results = scraper.getResults();

Installation Requirements

  • Java 17+
  • Maven or Gradle
  • Dependencies:
    • Jsoup (HTML parsing)
    • SLF4J (Logging)
    • Lombok (Optional, for reducing boilerplate code)

Configuration Options

  • Thread count
  • Request timeout
  • Delay between requests
  • Content filtering
  • Metadata extraction

Logging

The project uses SLF4J for logging, providing detailed insights into the scraping process.

Error Handling

  • Automatic retry mechanism
  • Detailed error categorization
  • Configurable retry count and backoff strategy

Performance Considerations

  • Concurrent processing
  • Rate limiting to prevent IP blocking
  • Efficient memory management
  • Configurable thread pool

Security and Ethics

  • Respect robots.txt
  • Implement reasonable request delays
  • Use appropriate user agents
  • Obtain necessary permissions before scraping

Potential Improvements

  • Add support for proxy rotation
  • Implement more advanced content extraction
  • Create more sophisticated rate limiting
  • Add support for authentication
  • Enhance error recovery mechanisms

Disclaimer

Web scraping may be subject to legal and ethical constraints. Always ensure you have the right to scrape a website and comply with the site's terms of service.

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