Building a Better Scraper

This article provides a technical deep dive into **go-wordpress**, a production-grade web scraping architecture developed in Go for extracting and managing product data from WordPress-based e-commerce sites. It outlines a sophisticated system designed for high performance and reliability, featuring **concurrent crawling**, data normalization specifically for **Persian language content**, and a modular design using Uber’s **fx framework** for dependency injection. The article details a multi-stage scraping pipeline that includes: * **Category Discovery:** An intelligent crawler that finds and validates product categories while filtering out irrelevant links. * **Concurrent Product Listing:** Utilization of the **Colly framework** to perform parallel scraping with configurable delays and CSS selectors, ensuring efficiency without overwhelming target servers. * **Batch Processing:** A semaphore-based approach for fetching product descriptions that maintains control over concurrent goroutines. * **Data Cleaning:** A specialized pipeline that normalizes prices by stripping currency labels and converting Persian digits to ASCII numerals. Beyond the scraping logic, the source describes a robust infrastructure supporting both **gRPC and HTTP REST APIs**, alongside a dual-layer storage strategy utilizing **SQL databases and Redis caching**. The article concludes by highlighting production-ready considerations such as **graceful degradation**, rate limiting, and comprehensive testing strategies, positioning the project as a scalable template for enterprise-level web data extraction. https://github.com/mobintmu/go-simple