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
- jQuery中样式和属性模块简单分析
1.行内样式操作 目标:扩展框架实现行内样式的增删改查 1.1 创建 css 方法 目标:实现单个样式或者多个样式的操作 1.1.1 css方法 -获取样式 注意:使用 style 属性只能获取行内样 ...
- jQuery动画知识总结
jQuery动画概述 我们之前实现的下拉菜单的案例,是没有动画效果的,但是在日常开发中,动画效果是经常会用到的,所以我们可以尝试使用jQuery动画,将下拉菜单案例实现的更动感一些. jQuery提供 ...
- 有关Gradle Network is unreachable: connect的报错
项目Gradle Errer:Network is unreachable: connect 同时还有as的 报错 Internal HTTP server disabled: Cannot st ...
- 改造PAXOS算法消灭活锁
分布式一致性协议的目的是确定一个不可变变量分布式存储的取值:通过对国内外一致性算法的研究成果和PAXOS协议活锁的分析,发现引入一个角色作为竞争时的代理提交者就可以解决活锁问题,从而在本文引入“代理提 ...
- CV与IP:基础,经典以及最近发展
原文链接:http://blog.csdn.net/dcraw/article/details/7617891 原文编写层层递进,逻辑清晰: 不过看这篇转载可以少点击鼠标:http://blog.cs ...
- RabbitMQ学习之ConntectionFactory与Conntection的认知
在发送和接收消息重要的类有:ConnectionFactory, Connection,Channel和 QueueingConsumer. ConntectionFactory类是方便创建与AMQP ...
- oc的属性
Declared property A declared property provides a syntactical shorthand for declaring a class’s acces ...
- 移动端开发-Day1
什么是Node? 它是一个基于Chrome v8引擎的js运行环境,采用高效轻量级的事件驱动,非阻塞式的I/O模型. 非阻塞I/O? 例如,当程序运行到某一函数时,调用后立即返回,不需要等待函数执行完 ...
- Spring Boot 项目学习 (二) MySql + MyBatis 注解 + 分页控件 配置
0 引言 本文主要在Spring Boot 基础项目的基础上,添加 Mysql .MyBatis(注解方式)与 分页控件 的配置,用于协助完成数据库操作. 1 创建数据表 这个过程就暂时省略了. 2 ...
- SyntaxError Non-ASCII character '\xe5' in file
环境: windows7 Python 2.7.16 在源码中添加注释之后报错如下: (WeChat) E:\WorkHome\Wechat>python firstBlood.py Trace ...