Scrapy Architecture overview--官方文档
原文地址:https://doc.scrapy.org/en/latest/topics/architecture.html
This document describes the architecture of Scrapy and how its components interact.
Overview
The following diagram shows an overview of the Scrapy architecture with its components and an outline of the data flow that takes place inside the system (shown by the red arrows). A brief description of the components is included below with links for more detailed information about them. The data flow is also described below.
Data flow

The data flow in Scrapy is controlled by the execution engine, and goes like this:
- The Engine gets the initial Requests to crawl from the Spider.
- The Engine schedules the Requests in the Scheduler and asks for the next Requests to crawl.
- The Scheduler returns the next Requests to the Engine.
- The Engine sends the Requests to the Downloader, passing through the Downloader Middlewares (see
process_request()). - Once the page finishes downloading the Downloader generates a Response (with that page) and sends it to the Engine, passing through the Downloader Middlewares (see
process_response()). - The Engine receives the Response from the Downloader and sends it to the Spider for processing, passing through the Spider Middleware (see
process_spider_input()). - The Spider processes the Response and returns scraped items and new Requests (to follow) to the Engine, passing through the Spider Middleware (see
process_spider_output()). - The Engine sends processed items to Item Pipelines, then send processed Requests to the Scheduler and asks for possible next Requests to crawl.
- The process repeats (from step 1) until there are no more requests from the Scheduler.
Components
Scrapy Engine
The engine is responsible for controlling the data flow between all components of the system, and triggering events when certain actions occur. See the Data Flow section above for more details.
Scheduler
The Scheduler receives requests from the engine and enqueues them for feeding them later (also to the engine) when the engine requests them.
Downloader
The Downloader is responsible for fetching web pages and feeding them to the engine which, in turn, feeds them to the spiders.
Spiders
Spiders are custom classes written by Scrapy users to parse responses and extract items (aka scraped items) from them or additional requests to follow. For more information see Spiders.
Item Pipeline
The Item Pipeline is responsible for processing the items once they have been extracted (or scraped) by the spiders. Typical tasks include cleansing, validation and persistence (like storing the item in a database). For more information see Item Pipeline.
Downloader middlewares
Downloader middlewares are specific hooks that sit between the Engine and the Downloader and process requests when they pass from the Engine to the Downloader, and responses that pass from Downloader to the Engine.
Use a Downloader middleware if you need to do one of the following:
- process a request just before it is sent to the Downloader (i.e. right before Scrapy sends the request to the website);
- change received response before passing it to a spider;
- send a new Request instead of passing received response to a spider;
- pass response to a spider without fetching a web page;
- silently drop some requests.
For more information see Downloader Middleware.
Spider middlewares
Spider middlewares are specific hooks that sit between the Engine and the Spiders and are able to process spider input (responses) and output (items and requests).
Use a Spider middleware if you need to
- post-process output of spider callbacks - change/add/remove requests or items;
- post-process start_requests;
- handle spider exceptions;
- call errback instead of callback for some of the requests based on response content.
For more information see Spider Middleware.
Event-driven networking
Scrapy is written with Twisted, a popular event-driven networking framework for Python. Thus, it’s implemented using a non-blocking (aka asynchronous) code for concurrency.
Scrapy Architecture overview--官方文档的更多相关文章
- hbase官方文档(转)
FROM:http://www.just4e.com/hbase.html Apache HBase™ 参考指南 HBase 官方文档中文版 Copyright © 2012 Apache Soft ...
- HBase官方文档
HBase官方文档 目录 序 1. 入门 1.1. 介绍 1.2. 快速开始 2. Apache HBase (TM)配置 2.1. 基础条件 2.2. HBase 运行模式: 独立和分布式 2.3. ...
- Spark官方文档 - 中文翻译
Spark官方文档 - 中文翻译 Spark版本:1.6.0 转载请注明出处:http://www.cnblogs.com/BYRans/ 1 概述(Overview) 2 引入Spark(Linki ...
- Spring 4 官方文档学习 Spring与Java EE技术的集成
本部分覆盖了以下内容: Chapter 28, Remoting and web services using Spring -- 使用Spring进行远程和web服务 Chapter 29, Ent ...
- Spark SQL 官方文档-中文翻译
Spark SQL 官方文档-中文翻译 Spark版本:Spark 1.5.2 转载请注明出处:http://www.cnblogs.com/BYRans/ 1 概述(Overview) 2 Data ...
- 人工智能系统Google开源的TensorFlow官方文档中文版
人工智能系统Google开源的TensorFlow官方文档中文版 2015年11月9日,Google发布人工智能系统TensorFlow并宣布开源,机器学习作为人工智能的一种类型,可以让软件根据大量的 ...
- Google Android官方文档进程与线程(Processes and Threads)翻译
android的多线程在开发中已经有使用过了,想再系统地学习一下,找到了android的官方文档,介绍进程与线程的介绍,试着翻译一下. 原文地址:http://developer.android.co ...
- OGR 官方文档
OGR 官方文档 http://www.gdal.org/ogr/index.html The OGR Simple Features Library is a C++ open source lib ...
- cassandra 3.x官方文档(5)---探测器
写在前面 cassandra3.x官方文档的非官方翻译.翻译内容水平全依赖本人英文水平和对cassandra的理解.所以强烈建议阅读英文版cassandra 3.x 官方文档.此文档一半是翻译,一半是 ...
- Cuda 9.2 CuDnn7.0 官方文档解读
目录 Cuda 9.2 CuDnn7.0 官方文档解读 准备工作(下载) 显卡驱动重装 CUDA安装 系统要求 处理之前安装的cuda文件 下载的deb安装过程 下载的runfile的安装过程 安装完 ...
随机推荐
- 企业级Spring应用的搭建
本次博客将要对SpringMVC做简单的介绍以及环境的搭建: 概述 Spring 框架是一个开源的平台,属于设计层面框架,整个系统面向接口,是分层的JavaSE/EE开源框架,用于解决复杂的企业应用开 ...
- 基于 Web 的 Go 语言 IDE - Wide 1.4.0 发布!
Wide 是什么 Wide 是一个基于 Web 的 Go 语言团队 IDE . 在线开发:打开浏览器就可以进行开发.全快捷键 智能提示:代码自动完成.查看表达式.编译反馈. Lint 实时运行:极速编 ...
- Windows Server2008上安装VS2008出错及解决办法
作者:朱金灿 来源:http://blog.csdn.net/clever101 win server 2008安装vs2008后报错,如下图: 然后到网上找了一种解决办法: (1)打开服务器管理器 ...
- RAP开发入门-主题更换
通过配置扩展点修改应用主题 ps:需要提前准备好主题(theme.css)文件 <!-- 注册主题扩展点 --> <extension point= ...
- 继承&封装
扩展一个已有的类,并且继承该类的属性和行为这种方式成为继承. 实例 public class Polygon { public int sides; public double area; publi ...
- JS 100以内的质数、只能被1和自己整除
for(var i = 2;i <= 100;i++){ var biao = 1; for(var j = 2;j < i;j++){ if(i%j == 0){ biao = 0; } ...
- 路飞学城Python-Day153
Scrapy核心组件
- Python笔记22-----高阶函数
1.sorted(排序对象,key=):排序对象可以是类别,也可以是字符串和字典,key为自定义排序,如:[key=abs,按绝对值排序][key=lambda x:x[1],按排序对象的第二个值排序 ...
- C++进阶 STL(1) 第一天 [容器,算法,迭代器] string容器 vector容器 deque容器
课程大纲 02实现基本原理 容器,算法,迭代器 教室:容器 人:元素 教室对于楼:容器 序列式容器: 容器元素在容器中的位置是由进入容器的时间和地点来决定 序列式容器 关联式容器: 教室中 按年龄排座 ...
- 【BZOJ3451】Tyvj1953 Normal - 点分治+FFT
题目来源:NOI2019模拟测试赛(七) 非原题面,题意有略微区别 题意: 吐槽: 心态崩了. 好不容易场上想出一题正解,写了三个小时结果写了个假的点分治,卡成$O(n^2)$ 我退役吧. 题解: 原 ...