Not All Scraping Is Equal
There's a wide spectrum between simple and complex scraping — and the tools that work for one end don't work at the other.
Simple scraping: a static HTML page, no authentication, no JavaScript rendering needed. A basic HTTP request returns the full page content and you parse what you need. Fast, cheap, works for many use cases.
Complex scraping: JavaScript-rendered content (the page is empty until JS runs), authentication requirements (you need to be logged in), bot detection (Cloudflare, Imperva, DataDome), dynamic pagination, rate limiting, and session management. This requires a real browser — either headless Chrome via Playwright or Puppeteer — and significantly more engineering.
Real Examples at Scale
PokerIntel scraped 597,000 player profiles from the Hendon Mob poker database. The site has dynamic content loaded via JavaScript, pagination across thousands of pages, and rate limiting that required careful session management and request spacing. The scraper ran for weeks, handling interruptions and resuming from where it left off, ultimately building a database of over half a million records with no official API to pull from.
TechSpy crawls 228 domains every day, running 7,517 tech detection patterns against each one. Many of those domains are protected by Cloudflare — requests from data center IP addresses get challenged or blocked. The solution uses Playwright browser sessions that solve Cloudflare challenges the way a real browser would, making each crawl session indistinguishable from a human visit.
When Scraping Is the Right Tool
Scraping makes sense when data exists on a website but there's no API to access it, the API exists but doesn't expose what you need, or you need data from multiple sources that don't have integration options. It's commonly used for competitive intelligence, lead data enrichment, market research, price monitoring, and building proprietary datasets.