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Master web scraping with Python and Scrapy. This guide covers everything from basic spiders to advanced integration with Selenium and Playwright. Learn to handle dynamic content, debug issues, and build scalable scrapers.
When pure Scrapy isn't enough鈥攚hen the website checks for a real browser, executes complex JavaScript, or has advanced anti-bot protection鈥攊t's time to bring in the heavy artillery: Scrapy + Playwright. This guide shows you how to configure them toge...
Before you reach for heavy tools like Playwright or expensive proxies, you can do a LOT to avoid detection using just pure Scrapy. This guide covers every possible technique to make your standard Scrapy spider look more human. 1. The Golden Rule: Don...
This guide is your roadmap. It tells you exactly which tool to use by following a step-by-step investigation process. We start with the simplest method and only move to complex tools if necessary. Step 1: The "Static" Check (Pure Scrapy) Goal: Check...
Using AI tools like GitHub Copilot, ChatGPT, Gemini Code Assist can significantly speed up your Scrapy workflow. However, the quality of the output depends heavily on the quality of your prompt. Here are detailed prompts for various Scrapy use cases....
Web scraping is all about selecting the right data. If you can't select it, you can't scrape it. In this guide, we will break down CSS and XPath selectors from the very basics to advanced filtering, so even if you've never used them before, you'll be...
In this article, we will dive deeper into how to effectively select data, debug complex issues, and manage logs to speed up your Scrapy development. 1. Mastering Selectors Finding the right selector is the core of web scraping. Scrapy supports both C...