<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>社交媒体 - 标签 - 逆向工程 Cookbook</title><link>https://overkazaf.github.io/reverse_engineering/tags/%E7%A4%BE%E4%BA%A4%E5%AA%92%E4%BD%93/</link><description>Android 与 Web 逆向工程实战手册</description><generator>Hugo 0.147.7 &amp; FixIt v0.4.0-alpha.3-20251224074056-4fec1cda</generator><language>zh-CN</language><managingEditor>overkazaf@gmail.com (+5)</managingEditor><webMaster>overkazaf@gmail.com (+5)</webMaster><lastBuildDate>Sat, 26 Apr 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://overkazaf.github.io/reverse_engineering/tags/%E7%A4%BE%E4%BA%A4%E5%AA%92%E4%BD%93/index.xml" rel="self" type="application/rss+xml"/><item><title>分布式爬虫架构</title><link>https://overkazaf.github.io/reverse_engineering/web/06-engineering/distributed_scraping/</link><pubDate>Sat, 26 Apr 2025 00:00:00 +0000</pubDate><author>overkazaf@gmail.com (+5)</author><guid>https://overkazaf.github.io/reverse_engineering/web/06-engineering/distributed_scraping/</guid><description>&lt;h1 class="heading-element" id="分布式爬虫架构">&lt;span>分布式爬虫架构&lt;/span>
 &lt;a href="#%e5%88%86%e5%b8%83%e5%bc%8f%e7%88%ac%e8%99%ab%e6%9e%b6%e6%9e%84" class="heading-mark">
 &lt;svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true">&lt;path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z">&lt;/path>&lt;/svg>
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&lt;/h1>&lt;h2 class="heading-element" id="概述">&lt;span>概述&lt;/span>
 &lt;a href="#%e6%a6%82%e8%bf%b0" class="heading-mark">
 &lt;svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true">&lt;path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z">&lt;/path>&lt;/svg>
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&lt;/h2>&lt;p>随着数据规模的不断扩大，单机爬虫在性能、稳定性和效率上遇到了瓶颈。分布式爬虫架构通过将爬取任务分散到多台机器上并行执行，可以大幅提升爬取效率，实现千万级甚至亿级的数据采集。&lt;/p></description></item><item><title>代理池设计与 Scrapy 集成</title><link>https://overkazaf.github.io/reverse_engineering/android/01-recipes/automation/proxy_pool_design/</link><pubDate>Sat, 17 Aug 2024 00:00:00 +0000</pubDate><author>overkazaf@gmail.com (+5)</author><guid>https://overkazaf.github.io/reverse_engineering/android/01-recipes/automation/proxy_pool_design/</guid><description>&lt;h1 class="heading-element" id="代理池设计与-scrapy-集成">&lt;span>代理池设计与 Scrapy 集成&lt;/span>
 &lt;a href="#%e4%bb%a3%e7%90%86%e6%b1%a0%e8%ae%be%e8%ae%a1%e4%b8%8e-scrapy-%e9%9b%86%e6%88%90" class="heading-mark">
 &lt;svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true">&lt;path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z">&lt;/path>&lt;/svg>
 &lt;/a>
&lt;/h1>&lt;blockquote>
&lt;p>&lt;strong>📚 前置知识&lt;/strong>&lt;/p></description></item></channel></rss>