Why I Rewrote My Web Scraper in Rust (10x Faster, 20x Less Memory)

Six months ago my Python scraper was consuming 800MB RAM to process 50k pages/day and timing out on large jobs. I rewrote the core in Rust. Here is what changed and whether it was worth it. The Problem With Python Scrapers at Scale Python web scraping works great until it does not: Memory: Python objects have 5-10x overhead vs raw data size. Parsing 1MB of HTML creates ~8MB of Python objects. GIL: The Global Interpreter Lock means CPU-bound parsing cannot use multiple cores effec