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.
- Multi-threaded scraping with configurable thread count
- Efficient task management using
ExecutorService - Supports processing multiple URLs simultaneously
- Flexible
DataProcessorfor transforming and sanitizing scraped content - Metadata extraction and storage
- Content filtering and sanitization options
- Retry mechanism for failed scrapes
- Detailed error tracking and categorization
- Exponential backoff for retry attempts
- Prevents overwhelming target websites
- Configurable delay between requests
- Domain-based access tracking
- Track successful and failed scrapes
- Monitor processing times
- Collect domain-specific statistics
- Generate detailed scraping reports
- Main scraping engine
- Manages URL queue and concurrent processing
- Supports custom configuration via builder pattern
- Individual worker for scraping a single URL
- Handles retry logic
- Extracts metadata and content
- Processes and transforms scraped data
- Applies content filters
- Supports listener pattern for custom processing
- Tracks and analyzes scraping performance
- Generates detailed statistical reports
- Monitors error types, content types, and domain performance
- Represents scraped data from a single URL
- Stores content, metadata, and processing information
- Supports builder pattern for flexible object creation
// 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();- Java 17+
- Maven or Gradle
- Dependencies:
- Jsoup (HTML parsing)
- SLF4J (Logging)
- Lombok (Optional, for reducing boilerplate code)
- Thread count
- Request timeout
- Delay between requests
- Content filtering
- Metadata extraction
The project uses SLF4J for logging, providing detailed insights into the scraping process.
- Automatic retry mechanism
- Detailed error categorization
- Configurable retry count and backoff strategy
- Concurrent processing
- Rate limiting to prevent IP blocking
- Efficient memory management
- Configurable thread pool
- Respect
robots.txt - Implement reasonable request delays
- Use appropriate user agents
- Obtain necessary permissions before scraping
- Add support for proxy rotation
- Implement more advanced content extraction
- Create more sophisticated rate limiting
- Add support for authentication
- Enhance error recovery mechanisms
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.