Insights & Engineering

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TL;DR: Scrapy is a high-speed, asynchronous crawling framework built for extracting structured data from static pages at scale. Selenium automates real browsers and handles JavaScript-heavy sites, but at a much higher resource cost. Most production scraping projects benefit from knowing when to use each, or when to combine them.

TL;DR: Scrapy is a full crawling framework that handles requests, parsing, and data export in one package. Beautiful Soup is a lightweight parsing library you pair with an HTTP client like requests. Choose Scrapy when you need large-scale, concurrent crawling with built-in pipelines. Choose Beautiful Soup when you want a fast, minimal setup for parsing a handful of pages.

TL;DR: Scrapy Splash pairs Scrapy's fast crawling engine with the Splash headless browser to render JavaScript-heavy pages. This scrapy splash tutorial walks you through Docker setup, Scrapy project configuration, SplashRequest basics, Lua scripts for scrolling and clicking, proxy integration, and fixing the most common errors you will encounter.

TL;DR: Amazon product pages are packed with valuable data (prices, ratings, reviews, ASINs), but extracting it reliably requires more than a basic HTTP request. This guide walks you through building a Python scraper with Requests and BeautifulSoup, handling pagination and anti-bot defenses, exporting to CSV or JSON, and feeding the results into LLM workflows. You will also learn when to use a scraping API instead of rolling your own solution.