Web Scraping in Go: Building Production-Ready Scrapers

Extracting structured data from web pages is an essential skill for modern software developers and data engineers. This practical course teaches you how to build robust web scrapers in Go, taking you step by step from fundamental HTML parsing to resilient, multi-threaded extraction pipelines. You will start by mastering foundational HTTP concepts, HTML DOM parsing, and key data structures in Go. Through detailed text lessons, you will learn how to design scrapers for real-world targets such as news portals, weather APIs, and e-commerce platforms while implementing concurrent processing, contextual timeouts, persistent storage, and error handling. What you'll learn: - Parse HTML documents and extract structured fields using Go libraries - Apply Go concurrency primitives including goroutines, channels, and worker pools for fast parallel scraping - Persist collected dataset records efficiently using a local SQLite database - Implement context timeouts, retries, and rate limiting for network resilience - Track scraper execution health using structured logging and basic metrics - Organize Go scraper projects with clean modular patterns and maintainable code layout. Starting with basic terminology and HTTP requests, the material guides you through building individual parser components before assembling them into a complete system. This course is designed for beginner to intermediate Go developers seeking practical skills in data extraction. A basic understanding of Go syntax is helpful, but no prior web scraping experience is required. Read through the course content to begin building your own automated data collectors.