If you've ever had to write 50 lines of boilerplate just to launch a headless browser and grab a single string of text, you know the pain. Modern front-end development loves hiding basic content behind megabytes of client-side JavaScript—but that doesn't mean every scraper needs a full browser engine running behind it.
When building Python data pipelines, we usually face two distinct problems: fetching raw web content and interacting with dynamic DOMs. Let's break down how Scrapy and Playwright tackle these problems, their architectural trade-offs, and how to seamlessly bridge them using scrapy-playwright.
1. Choosing the Right Mental Model
Before writing a line of code, ask yourself: Are you reading raw data, or are you executing a live web app?
Feature
