scrapy-redisScrapy框架

Scrapy框架

 

简介

Scrapy是一个为了爬取网站数据，提取结构性数据而编写的应用框架。 其可以应用在数据挖掘，信息处理或存储历史数据等一系列的程序中。
其最初是为了页面抓取 (更确切来说, 网络抓取 )所设计的， 也可以应用在获取API所返回的数据(例如 Amazon Associates Web Services ) 或者通用的网络爬虫。Scrapy用途广泛，可以用于数据挖掘、监测和自动化测试。

Scrapy 使用了 Twisted异步网络库来处理网络通讯。整体架构大致如下

Scrapy主要包括了以下组件：

  • 引擎(Scrapy)
    用来处理整个系统的数据流处理, 触发事务(框架核心)
  • 调度器(Scheduler)
    用来接受引擎发过来的请求, 压入队列中, 并在引擎再次请求的时候返回. 可以想像成一个URL（抓取网页的网址或者说是链接）的优先队列, 由它来决定下一个要抓取的网址是什么, 同时去除重复的网址
  • 下载器(Downloader)
    用于下载网页内容, 并将网页内容返回给蜘蛛(Scrapy下载器是建立在twisted这个高效的异步模型上的)
  • 爬虫(Spiders)
    爬虫是主要干活的, 用于从特定的网页中提取自己需要的信息, 即所谓的实体(Item)。用户也可以从中提取出链接,让Scrapy继续抓取下一个页面
  • 项目管道(Pipeline)
    负责处理爬虫从网页中抽取的实体，主要的功能是持久化实体、验证实体的有效性、清除不需要的信息。当页面被爬虫解析后，将被发送到项目管道，并经过几个特定的次序处理数据。
  • 下载器中间件(Downloader Middlewares)
    位于Scrapy引擎和下载器之间的框架，主要是处理Scrapy引擎与下载器之间的请求及响应。
  • 爬虫中间件(Spider Middlewares)
    介于Scrapy引擎和爬虫之间的框架，主要工作是处理蜘蛛的响应输入和请求输出。
  • 调度中间件(Scheduler Middewares)
    介于Scrapy引擎和调度之间的中间件，从Scrapy引擎发送到调度的请求和响应。

Scrapy运行流程大概如下：

  1. 引擎从调度器中取出一个链接(URL)用于接下来的抓取
  2. 引擎把URL封装成一个请求(Request)传给下载器
  3. 下载器把资源下载下来，并封装成应答包(Response)
  4. 爬虫解析Response
  5. 解析出实体（Item）,则交给实体管道进行进一步的处理
  6. 解析出的是链接（URL）,则把URL交给调度器等待抓取

安装

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Linux/mac
    - pip3 install scrapy 
Windows:

    - 安装twsited
        a. pip3 install wheel
        b. 下载twisted http://www.lfd.uci.edu/~gohlke/pythonlibs/#twisted
        c. 进入下载目录，执行 pip3 install Twisted-xxxxx.whl
    - 安装scrapy 
        d. pip3 install scrapy  -i http://pypi.douban.com/simple --trusted-host pypi.douban.com
    - 安装pywin32
        e. pip3 install pywin32  -i http://pypi.douban.com/simple --trusted-host pypi.douban.com
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快速使用

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Django：
    django-admin startproject mysite
    cd mysite 
    python manage.py startapp app01 
    
    # 写代码
    
    python manage.py runserver
Scrapy：
    
    创建project:
        scrapy startproject xianglong  # 创建项目
        cd xianglong  # 进入项目目录
        scrapy genspider chouti chouti.com   # 类似于django的创建app
        
        # 写代码
        
        scrapy crawl chouti --nolog  # 启动
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启动时，如果打印结果出现编码错误，在windows下可以在chouti.py中加上下面的内容

# -*- coding: utf-8 -*-
import scrapy
# import sys, io
# sys.stdout=io.TextIOWrapper(sys.stdout.buffer,encoding='gb18030')

创建完成后的项目目录

文件说明：

  • scrapy.cfg  项目的配置信息，主要为Scrapy命令行工具提供一个基础的配置信息。（真正爬虫相关的配置信息在settings.py文件中）
  • items.py    设置数据存储模板，用于结构化数据，如：Django的Model
  • pipelines    数据处理行为，如：一般结构化的数据持久化
  • settings.py 配置文件，如：递归的层数、并发数，延迟下载等
  • spiders      爬虫目录，如：创建文件，编写爬虫规则

注意：一般创建爬虫文件时，以网站域名命名

在chouti.py中我们就可以编写我们的爬虫内容了

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# -*- coding: utf-8 -*-
import scrapy
from bs4 import BeautifulSoup
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request
from ..items import XianglongItem


class ChoutiSpider(scrapy.Spider):
    # 爬虫应用的名称，通过此名称启动爬虫命令
    name = 'chouti'
    # 允许的域名
    allowed_domains = ['chouti.com']
    # 起始URL，也就是爬取的url，可以有多个
    start_urls = ['http://dig.chouti.com/', ]
        
    # 爬取完成后默认执行的回调函数
    def parse(self, response):
        """
        当起始URL下载完毕后，自动执行parse函数：response封装了响应相关的所有内容。
        :param response:
        :return:
        """

        hxs = HtmlXPathSelector(response=response)

        # 去下载的页面中：找新闻
        items = hxs.xpath("//div[@id='content-list']/div[@class='item']")  # //获取子子孙孙 /获取子标签
        for item in items:
            href = item.xpath('.//div[@class="part1"]//a[1]/@href').extract_first()  # .//获取相对当前对象的子子孙孙 /@href获取href属性
            text = item.xpath('.//div[@class="part1"]//a[1]/text()').extract_first()  # /text()获取文本内容
            item = XianglongItem(title=text, href=href)
            yield item
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执行scrapy crawl chouti --nolog命令，会自动爬取start_urls中的网址，爬取完成后会执行回调函数parse，这里传的response就是爬取结果的对象，在处理这个对象时，我们不再使用bs4模块，而是使用scrapy提供好的HtmlXPathSelector，这个对象的用法很多

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#!/usr/bin/env python
# -*- coding:utf-8 -*-
from scrapy.selector import Selector, HtmlXPathSelector
from scrapy.http import HtmlResponse
html = """<!DOCTYPE html>
<html>
<head lang="en">
<meta charset="UTF-8">
<title></title>
</head>
<body>
<ul>
<li class="item-"><a id='i1' href="link.html">first item</a></li>
<li class="item-0"><a id='i2' href="llink.html">first item</a></li>
<li class="item-1"><a href="llink2.html">second item<span>vv</span></a></li>
</ul>
<div><a href="llink2.html">second item</a></div>
</body>
</html>
"""
response = HtmlResponse(url='http://example.com', body=html,encoding='utf-8')
# hxs = HtmlXPathSelector(response)
# print(hxs)
# hxs = Selector(response=response).xpath('//a')
# print(hxs)
# hxs = Selector(response=response).xpath('//a[2]')
# print(hxs)
# hxs = Selector(response=response).xpath('//a[@id]')
# print(hxs)
# hxs = Selector(response=response).xpath('//a[@id="i1"]')
# print(hxs)
# hxs = Selector(response=response).xpath('//a[@href="link.html"][@id="i1"]')
# print(hxs)
# hxs = Selector(response=response).xpath('//a[contains(@href, "link")]')
# print(hxs)
# hxs = Selector(response=response).xpath('//a[starts-with(@href, "link")]')
# print(hxs)
# hxs = Selector(response=response).xpath('//a[re:test(@id, "i\d+")]')
# print(hxs)
# hxs = Selector(response=response).xpath('//a[re:test(@id, "i\d+")]/text()').extract()
# print(hxs)
# hxs = Selector(response=response).xpath('//a[re:test(@id, "i\d+")]/@href').extract()
# print(hxs)
# hxs = Selector(response=response).xpath('/html/body/ul/li/a/@href').extract()
# print(hxs)
# hxs = Selector(response=response).xpath('//body/ul/li/a/@href').extract_first()
# print(hxs)

# ul_list = Selector(response=response).xpath('//body/ul/li')
# for item in ul_list:
# v = item.xpath('./a/span')
# # 或
# # v = item.xpath('a/span')
# # 或
# # v = item.xpath('*/a/span')
# print(v)

在获取到想要的内容后，如果要做持久化，可以通过yield一个特殊的对象，这个对象就是下面这个文件中类的对象

该文件内容为

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# -*- coding: utf-8 -*-

# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html

import scrapy


class XianglongItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    title = scrapy.Field()
    href = scrapy.Field()
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只要yield这个特殊对象，这个框架会自动将这个对象传给下面的文件

在这个文件中我们可以执行持久化操作

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# -*- coding: utf-8 -*-

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html


class XianglongPipeline(object):

    def process_item(self, item, spider):  # 每次yield都会执行这个函数，spider为chouti.py中那个类的对象，item为我们yield的特殊对象
        self.f.write(item['href']+'\n')
        self.f.flush()

        return item

    def open_spider(self, spider):
        """
        爬虫开始执行时，调用
        :param spider:
        :return:
        """
        self.f = open('url.log','w')

    def close_spider(self, spider):
        """
        爬虫关闭时，被调用
        :param spider:
        :return:
        """
        self.f.close()
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要使用这个功能还需要在配置文件中配置，这段内容本来被注释了，只要取消注释就行了，300表示权重

ITEM_PIPELINES = {
   'xianglong.pipelines.XianglongPipeline': 300,
}

如果我们在爬取完一个网页后，又从中得到了其它url，想要爬取这个url该怎么办呢，不能直接在start_urls中添加，这个start_urls只会在开始时读取一次，后面添加是不会管了，这时我们需要yield一个Request对象，这样框架就会帮我们爬取相关的内容了

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# -*- coding: utf-8 -*-
import scrapy
from bs4 import BeautifulSoup
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request
from ..items import XianglongItem


class ChoutiSpider(scrapy.Spider):
    name = 'chouti'
    allowed_domains = ['chouti.com']
    start_urls = ['http://dig.chouti.com/', ]

    def parse(self, response):
        """
        当起始URL下载完毕后，自动执行parse函数：response封装了响应相关的所有内容。
        :param response:
        :return:
        """

        hxs = HtmlXPathSelector(response=response)

        # 去下载的页面中：找新闻
        items = hxs.xpath("//div[@id='content-list']/div[@class='item']")
        for item in items:
            href = item.xpath('.//div[@class="part1"]//a[1]/@href').extract_first()
            text = item.xpath('.//div[@class="part1"]//a[1]/text()').extract_first()
            item = XianglongItem(title=text, href=href)
            yield item

        pages = hxs.xpath('//div[@id="page-area"]//a[@class="ct_pagepa"]/@href').extract()
        for page_url in pages:
            page_url = "https://dig.chouti.com" + page_url
            yield Request(url=page_url, callback=self.parse)
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上面我们从爬取的内容中提取了一些a标签的href，然后yield了Request对象Request(url=page_url, callback=self.parse)，这样就可以爬取这个对象中的url了，爬取完成后还会执行我们传入的回调函数

相关配置，settings中

DEPTH_LIMIT = 2

这个表示只会爬取2层url，也就是第一层爬取过程中yield出的url为第二层，爬取第二层时yield出来的为第三层，第三层不会接着爬取

start_requests

如果我们在爬取start_urls中的地址后不想要执行默认的parse回调函数，而是想执行其它的函数，那么我们可以使用start_requests

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# -*- coding: utf-8 -*-
import scrapy
from bs4 import BeautifulSoup
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request
from ..items import XianglongItem
from scrapy.http import HtmlResponse
from scrapy.http.response.html import HtmlResponse

"""
obj = ChoutiSpider()
obj.start_requests()

"""
class ChoutiSpider(scrapy.Spider):
    name = 'chouti'
    allowed_domains = ['chouti.com']
    start_urls = ['https://dig.chouti.com/',]

    def start_requests(self):
        for url in self.start_urls:
            yield Request(
                url=url,
                callback=self.parse,
                headers={'User-Agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36'}
            )

    def parse(self, response):
        """
        当起始URL下载完毕后，自动执行parse函数：response封装了响应相关的所有内容。
        :param response:
        :return:
        """
        pages = response.xpath('//div[@id="page-area"]//a[@class="ct_pagepa"]/@href').extract()
        for page_url in pages:
            page_url = "https://dig.chouti.com" + page_url
            yield Request(url=page_url,callback=self.parse,headers={'User-Agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36'})
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爬取start_urls时其实会先执行start_requests，在里面会返回Request对象，我们只要修改Request对象的参数就可以改变回调函数

解析器

上面我们提到了使用HtmlXPathSelector来解析爬取的内容，其实response对象本身也有xpath方法，可以来解析数据

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将字符串转换成对象：
    - 方式一：
        response.xpath('//div[@id='content-list']/div[@class='item']')
    - 方式二：
        hxs = HtmlXPathSelector(response=response)
        items = hxs.xpath("//div[@id='content-list']/div[@class='item']")
查找规则：
    //a
    //div/a
    //a[re:test(@id, "i\d+")]            
    
    items = hxs.xpath("//div[@id='content-list']/div[@class='item']")
    for item in items:
        item.xpath('.//div')

解析：
    标签对象：xpath('/html/body/ul/li/a/@href')
    列表：    xpath('/html/body/ul/li/a/@href').extract()
    值：      xpath('//body/ul/li/a/@href').extract_first()
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同时这个解析器还可以单独应用

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from scrapy.selector import Selector, HtmlXPathSelector
from scrapy.http import HtmlResponse
html = """<!DOCTYPE html>
<html>
    <head lang="en">
        <meta charset="UTF-8">
        <title></title>
    </head>
    <body>
        <ul>
            <li class="item-"><a id='i1' href="link.html">first item</a></li>
            <li class="item-0"><a id='i2' href="llink.html">first item</a></li>
            <li class="item-1"><a href="llink2.html">second item<span>vv</span></a></li>
        </ul>
        <div><a href="llink2.html">second item</a></div>
    </body>
</html>
"""
response = HtmlResponse(url='http://example.com', body=html,encoding='utf-8')
obj = response.xpath('//a[@id="i1"]/text()').extract_first()
print(obj)
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pipelines 

上面我们介绍了pipelines是用来持久化数据的，我们只是配置了一个类，其实从配置文件可以看出，由于有权重，所以可以配置多个pipelines，他们会按照权重从小到大执行

配置文件

ITEM_PIPELINES = {
   'xianglong.pipelines.FilePipeline': 300,
   'xianglong.pipelines.DBPipeline': 301,
}

pipelines

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# -*- coding: utf-8 -*-

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
"""
当根据配置文件：
    ITEM_PIPELINES = {
       'xianglong.pipelines.FilePipeline': 300,
       'xianglong.pipelines.DBPipeline': 301,
    }
"""

from scrapy.exceptions import DropItem

class FilePipeline(object):

    def process_item(self, item, spider):
        print('写入文件',item.href)
        return item


    def open_spider(self, spider):
        """
        爬虫开始执行时，调用
        :param spider:
        :return:
        """
        print('打开文件')

    def close_spider(self, spider):
        """
        爬虫关闭时，被调用
        :param spider:
        :return:
        """
        print('关闭文件')


class DBPipeline(object):

    def process_item(self, item, spider):

        print('数据库',item.href)

        return item

    def open_spider(self, spider):
        """
        爬虫开始执行时，调用
        :param spider:
        :return:
        """
        print('打开数据')

    def close_spider(self, spider):
        """
        爬虫关闭时，被调用
        :param spider:
        :return:
        """
        print('关闭数据库')
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可以看到FilePipeline的300比DBPipeline的301小，所以会先执行FilePipeline，执行结果

执行完FilePipeline的process_item就会接着执行DBPipeline的，我们可以看到这里FilePipeline的process_item的返回值为item，这个返回值就是下一个pipelines类接收到的item，也就是DBPipeline的process_item接收到的item，如果返回的是None，那么DBPipeline的process_item接收到的就是None，前一个类还可以抛出一个异常DropItem()，这样后面接收到这个异常的process_item就不会执行了

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from scrapy.exceptions import DropItem

class FilePipeline(object):

    def process_item(self, item, spider):
        print('文件',item.href)
        raise DropItem()
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pipelines的所有方法

上面我们使用了pipelines的三种方法，其实pipelines总共有5种方法

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# -*- coding: utf-8 -*-

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
"""
当根据配置文件：
    ITEM_PIPELINES = {
       'xianglong.pipelines.FilePipeline': 300,
       'xianglong.pipelines.DBPipeline': 301,
    }
找到相关的类：FilePipeline之后，会优先判断类中是否含有 from_crawler
    如果有：
        obj = FilePipeline.from_crawler()
    没有则：
        obj = FilePipeline()

    obj.open_spider(..)
    ob.process_item(..)
    obj.close_spider(..)
"""

from scrapy.exceptions import DropItem

class FilePipeline(object):
    def __init__(self,path):
        self.path = path
        self.f = None

    @classmethod
    def from_crawler(cls, crawler):
        """
        初始化时候，用于创建pipeline对象
        :param crawler:
        :return:
        """
        # return cls()

        path = crawler.settings.get('XL_FILE_PATH')
        return cls(path)

    def process_item(self, item, spider):
        self.f.write(item['href']+'\n')
        return item


    def open_spider(self, spider):
        """
        爬虫开始执行时，调用
        :param spider:
        :return:
        """
        self.f = open(self.path,'w')

    def close_spider(self, spider):
        """
        爬虫关闭时，被调用
        :param spider:
        :return:
        """
        self.f.close()
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from_crawler方法就是用来返回当前类的对象的，一般没有特别的操作可以不写他，如果想要从配置文件中读取东西（如写入文件的路径），就可以用到这个方法的crawler参数（配置必须是大写的），然后将获取的内容在实例化时传给类，再配合另一个初始化方法

就可以在当前对象中调用我们获取到的内容了，如上面的self.path就是从配置文件中获取的文件路径

POST/请求头/Cookie

之前我们都是发送的get请求，如何发送post请求并且携带请求头和cookie呢，其实都是在Request对象中设置

获取cookie我们可以手动获取，这里以登录抽屉并点赞为例

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# -*- coding: utf-8 -*-
import scrapy
from bs4 import BeautifulSoup
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request
from ..items import XianglongItem
from scrapy.http import HtmlResponse
from scrapy.http.response.html import HtmlResponse

"""
obj = ChoutiSpider()
obj.start_requests()

"""
class ChoutiSpider(scrapy.Spider):
    name = 'chouti'
    allowed_domains = ['chouti.com']
    start_urls = ['http://dig.chouti.com/',]

    cookie_dict = {}
    def start_requests(self):
        for url in self.start_urls:
            yield Request(url=url,callback=self.parse_index)

    def parse_index(self,response):
        # 原始cookie
        # print(response.headers.getlist('Set-Cookie'))

        # 解析后的cookie
        from scrapy.http.cookies import CookieJar
        cookie_jar = CookieJar()
        cookie_jar.extract_cookies(response, response.request)
        for k, v in cookie_jar._cookies.items():
            for i, j in v.items():
                for m, n in j.items():
                    self.cookie_dict[m] = n.value


        req = Request(
            url='http://dig.chouti.com/login',
            method='POST',
            headers={'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8'},
            body='phone=8613121758648&password=woshiniba&oneMonth=1',
            cookies=self.cookie_dict,
            callback=self.parse_check_login
        )
        yield req

    def parse_check_login(self,response):
        print(response.text)
        yield Request(
            url='https://dig.chouti.com/link/vote?linksId=19440976',
            method='POST',
            cookies=self.cookie_dict,
            callback=self.parse_show_result
        )

    def parse_show_result(self,response):
        print(response.text)
复制代码

上面我们通过CookieJar自己通过循环获取了cookie字典，并且在每次yield的Request对象中加上了cookies和请求头等信息，post请求还带上了body，请求体的信息，上面发送的是form-data格式的请求体，如果是json格式序列化一下即可

这样通过手动的方式获取cookie较为麻烦，我们可以让scrapy自动帮我们带cookie

 View Code

# -*- coding: utf-8 -*-
import scrapy
from bs4 import BeautifulSoup
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request
from ..items import XianglongItem
from scrapy.http import HtmlResponse
from scrapy.http.response.html import HtmlResponse

"""
obj = ChoutiSpider()
obj.start_requests()

"""
class ChoutiSpider(scrapy.Spider):
name = 'chouti'
allowed_domains = ['chouti.com']
start_urls = ['http://dig.chouti.com/',]

def start_requests(self):
for url in self.start_urls:
yield Request(url=url,callback=self.parse_index,meta={'cookiejar':True})

def parse_index(self,response):
req = Request(
url='http://dig.chouti.com/login',
method='POST',
headers={'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8'},
body='phone=8613121758648&password=woshiniba&oneMonth=1',
callback=self.parse_check_login,
meta={'cookiejar': True}
)
yield req

def parse_check_login(self,response):
# print(response.text)
yield Request(
url='https://dig.chouti.com/link/vote?linksId=19440976',
method='POST',
callback=self.parse_show_result,
meta={'cookiejar': True}
)

def parse_show_result(self,response):
print(response.text)

只要在每一个Request对象中传入meta={'cookiejar': True}，那么scrapy就会自动帮我们获取cookie并在访问时携带了

配置文件制定是否允许操作cookie:

# Disable cookies (enabled by default)
# COOKIES_ENABLED = False

去重规则

当我们爬取网站时，对于一些爬取过的url我们需要做记录，下次再遇到时就不再爬取了

在Request类实例化时有一个dont_filter=False参数，False表示需要去重，如果为True则不会执行去重

在去重时我们首先要定义配置文件

DUPEFILTER_CLASS = 'xianglong.dupe.MyDupeFilter'

定义完成后访问爬取url时会先执行这个类中的内容

复制代码
from scrapy.dupefilter import BaseDupeFilter
from scrapy.utils.request import request_fingerprint
"""
1. 根据配置文件找到 DUPEFILTER_CLASS = 'xianglong.dupe.MyDupeFilter'
2. 判断是否存在from_settings
    如果有：
        obj = MyDupeFilter.from_settings()
    否则：
        obj = MyDupeFilter()
        
    

"""

class MyDupeFilter(BaseDupeFilter):

    def __init__(self):
        self.record = set()

    @classmethod
    def from_settings(cls, settings):
        return cls()

    def request_seen(self, request):
        ident = request_fingerprint(request)
        if ident in self.record:
            print('已经访问过了', request.url)
            return True
        self.record.add(ident)

    def open(self):  # can return deferred 可以打开redis
        pass

    def close(self, reason):  # can return a deferred 可以关闭redis
        pass
复制代码

在这个类中我们定义了一个空集合，每次拿到要爬取的url后会先判断这个url在不在集合中，如果在，那么说明已经访问过了，return True，如果不在则添加到集合再访问，这里添加url时我们不是直接添加的url，而是利用request_fingerprint(request)对这个类进行加密

这样可以固定存入的长度，而且如果是存入url，有些url只是参数的位置变了，其实还是一样的，但是只存url则无法判断

为请求创建唯一标识

复制代码
http://www.oldboyedu.com?id=1&age=2
http://www.oldboyedu.com?age=2&id=1

from scrapy.utils.request import request_fingerprint
from scrapy.http import Request


u1 = Request(url='http://www.oldboyedu.com?id=1&age=2')
u2 = Request(url='http://www.oldboyedu.com?age=2&id=1')

result1 = request_fingerprint(u1)
result2 = request_fingerprint(u2)
print(result1,result2)  # c49a0582ee359d61d0fe5f28084b2ea04106050d c49a0582ee359d61d0fe5f28084b2ea04106050d
复制代码

可以看到通过request_fingerprint处理后存入的值长度固定，且只是参数位置不同的url存入的值也相同

记录到低要不要放在数据库

访问记录可以放在redis中【使用redis集合存储】

dont_filter到低在哪里

复制代码
from scrapy.core.scheduler import Scheduler

 def enqueue_request(self, request):
    # request.dont_filter=False
        # self.df.request_seen(request):
        #   - True,已经访问
        #   - False，未访问
    # request.dont_filter=True，全部加入到调度器
    if not request.dont_filter and self.df.request_seen(request):
        self.df.log(request, self.spider)
        return False
    # 如果往下走，把请求加入调度器
    dqok = self._dqpush(request)
复制代码

下载中间件

对爬虫中所有请求发送时，携带请求头

方案一：在每个Request对象中添加一个请求头

方案二：使用下载中间件

配置文件

DOWNLOADER_MIDDLEWARES = {
   'xianglong.middlewares.UserAgentDownloaderMiddleware': 543,
}

复制代码
# -*- coding: utf-8 -*-

# Define here the models for your spider middleware
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/spider-middleware.html

from scrapy import signals



class UserAgentDownloaderMiddleware(object):

    @classmethod
    def from_crawler(cls, crawler):
        # This method is used by Scrapy to create your spiders.
        s = cls()
        return s

    def process_request(self, request, spider):
        # Called for each request that goes through the downloader
        # middleware.

        # Must either:
        # - return None: continue processing this request
        # - or return a Response object
        # - or return a Request object
        # - or raise IgnoreRequest: process_exception() methods of
        #   installed downloader middleware will be called

        request.headers['User-Agent'] = "Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36"

        # return None # 继续执行后续的中间件的process_request

        # from scrapy.http import Request
        # return Request(url='www.baidu.com') # 重新放入调度器中，当前请求不再继续处理

        # from scrapy.http import HtmlResponse # 执行从最后一个开始执行所有的process_response
        # return HtmlResponse(url='www.baidu.com',body=b'asdfuowjelrjaspdoifualskdjf;lajsdf')

    def process_response(self, request, response, spider):
        # Called with the response returned from the downloader.

        # Must either;
        # - return a Response object
        # - return a Request object
        # - or raise IgnoreRequest
        return response

    def process_exception(self, request, exception, spider):
        # Called when a download handler or a process_request()
        # (from other downloader middleware) raises an exception.

        # Must either:
        # - return None: continue processing this exception
        # - return a Response object: stops process_exception() chain
        # - return a Request object: stops process_exception() chain
        pass
复制代码

中间件中不同的return值有不同的结果，在process_request中如果return的是一个request对象，则会返回调度器，访问这个request，这样会成为一个死循环，如果return None，则继续执行，如果返回一个Response对象，则从最后一个开始执行所有process_response

如果抛出异常则执行process_exception，在process_response中如果return的是一个request对象则返回调度器访问这个request，如果返回Response对象则继续执行，如果抛出异常则执行process_exception

方案三：内置下载中间件

配置文件：
    USER_AGENT = 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36'

 scrapy中如何添加代理

方式一：内置添加代理功能

复制代码
# -*- coding: utf-8 -*-
import os
import scrapy
from scrapy.http import Request

class ChoutiSpider(scrapy.Spider):
    name = 'chouti'
    allowed_domains = ['chouti.com']
    start_urls = ['https://dig.chouti.com/']

    def start_requests(self):
        os.environ['HTTP_PROXY'] = "http://192.168.11.11"

        for url in self.start_urls:
            yield Request(url=url,callback=self.parse)

    def parse(self, response):
        print(response)
复制代码
复制代码
只需要添加os.environ['HTTP_PROXY'] = "http://192.168.11.11"，就可以添加代理了，HTTP可以更改成其它名字

但是这种方法会一直使用代理ip进行爬取，容易被封

方式二：自定义下载中间件

配置下载中间件
复制代码
复制代码
import random
import base64
import six
def to_bytes(text, encoding=None, errors='strict'):
    """Return the binary representation of `text`. If `text`
    is already a bytes object, return it as-is."""
    if isinstance(text, bytes):
        return text
    if not isinstance(text, six.string_types):
        raise TypeError('to_bytes must receive a unicode, str or bytes '
                        'object, got %s' % type(text).__name__)
    if encoding is None:
        encoding = 'utf-8'
    return text.encode(encoding, errors)
    
class MyProxyDownloaderMiddleware(object):
    def process_request(self, request, spider):
        proxy_list = [
            {'ip_port': '111.11.228.75:80', 'user_pass': 'xxx:123'},
            {'ip_port': '120.198.243.22:80', 'user_pass': ''},
            {'ip_port': '111.8.60.9:8123', 'user_pass': ''},
            {'ip_port': '101.71.27.120:80', 'user_pass': ''},
            {'ip_port': '122.96.59.104:80', 'user_pass': ''},
            {'ip_port': '122.224.249.122:8088', 'user_pass': ''},
        ]
        proxy = random.choice(proxy_list)
        if proxy['user_pass'] is not None:
            request.meta['proxy'] = to_bytes("http://%s" % proxy['ip_port'])
            encoded_user_pass = base64.encodestring(to_bytes(proxy['user_pass']))
            request.headers['Proxy-Authorization'] = to_bytes('Basic ' + encoded_user_pass)
        else:
            request.meta['proxy'] = to_bytes("http://%s" % proxy['ip_port'])
复制代码

这种方法每次访问会随机从代理ip中选一个使用

配置文件

DOWNLOADER_MIDDLEWARES = {
   # 'xiaohan.middlewares.MyProxyDownloaderMiddleware': 543,
}

scrapy中如何处理https

如果是花钱买的认证那么我们不需要进行操作就可以直接访问，如果是自己生成的https证书，那么要进行下面的操作

middleware中间件文件中

复制代码
from scrapy.core.downloader.contextfactory import ScrapyClientContextFactory
from twisted.internet.ssl import (optionsForClientTLS, CertificateOptions, PrivateCertificate)

class MySSLFactory(ScrapyClientContextFactory):
    def getCertificateOptions(self):
        from OpenSSL import crypto
        v1 = crypto.load_privatekey(crypto.FILETYPE_PEM, open('/Users/wupeiqi/client.key.unsecure', mode='r').read())
        v2 = crypto.load_certificate(crypto.FILETYPE_PEM, open('/Users/wupeiqi/client.pem', mode='r').read())
        return CertificateOptions(
            privateKey=v1,  # pKey对象
            certificate=v2,  # X509对象
            verify=False,
            method=getattr(self, 'method', getattr(self, '_ssl_method', None))
        )
复制代码

配置文件中

DOWNLOADER_HTTPCLIENTFACTORY = "scrapy.core.downloader.webclient.ScrapyHTTPClientFactory"
DOWNLOADER_CLIENTCONTEXTFACTORY = "xiaohan.middlewares.MySSLFactory"

下载中间件的作用？
在每次下载前和下载后对请求和响应可以定制功能。例如：user-agent/代理/cookie

爬虫中间件

编写

复制代码
middlewares.py
    class XiaohanSpiderMiddleware(object):
        # Not all methods need to be defined. If a method is not defined,
        # scrapy acts as if the spider middleware does not modify the
        # passed objects.
        def __init__(self):
            pass
        @classmethod
        def from_crawler(cls, crawler):
            # This method is used by Scrapy to create your spiders.
            s = cls()
            return s

        # 每次下载完成之后，未执行parse函数之前。
        def process_spider_input(self, response, spider):
            # Called for each response that goes through the spider
            # middleware and into the spider.

            # Should return None or raise an exception.
            print('process_spider_input',response)
            return None
　　　　　# 执行完回调函数执行　
        def process_spider_output(self, response, result, spider):
            # Called with the results returned from the Spider, after
            # it has processed the response.

            # Must return an iterable of Request, dict or Item objects.
            print('process_spider_output',response)
            for i in result:
                yield i

        def process_spider_exception(self, response, exception, spider):
            # Called when a spider or process_spider_input() method
            # (from other spider middleware) raises an exception.

            # Should return either None or an iterable of Response, dict
            # or Item objects.
            pass

        # 爬虫启动时，第一次执行start_requests时，触发。（只执行一次）
        def process_start_requests(self, start_requests, spider):
            # Called with the start requests of the spider, and works
            # similarly to the process_spider_output() method, except
            # that it doesn’t have a response associated.

            # Must return only requests (not items).

            print('process_start_requests')
            for r in start_requests:
                yield r
复制代码

应用

SPIDER_MIDDLEWARES = {
   'xiaohan.middlewares.XiaohanSpiderMiddleware': 543,
}

信号

首先创建一个新的文件

复制代码
extends.py 
    from scrapy import signals


    class MyExtension(object):
        def __init__(self):
            pass

        @classmethod
        def from_crawler(cls, crawler):
            obj = cls()
            # 在爬虫打开时，触发spider_opened信号相关的所有函数：xxxxxxxxxxx
            crawler.signals.connect(obj.xxxxxxxxxxx1, signal=signals.spider_opened)
            # 在爬虫关闭时，触发spider_closed信号相关的所有函数：xxxxxxxxxxx
            crawler.signals.connect(obj.uuuuuuuuuu, signal=signals.spider_closed)
            return obj

        def xxxxxxxxxxx1(self, spider):
            print('open')

        def uuuuuuuuuu(self, spider):
            print('close')

                return obj
复制代码

在这里定义一个类，这个类实例化时，可以添加触发信号时的函数

配置文件

EXTENSIONS = {
    'xiaohan.extends.MyExtension':500,
}

这条配置其实就是会实例化这个类的对象，也就是调用上面的from_crawler方法，而这个方法中又绑定了信号函数

配置文件

 Settings

# -*- coding: utf-8 -*-

# Scrapy settings for step8_king project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# http://doc.scrapy.org/en/latest/topics/settings.html
# http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
# http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html

# 1. 爬虫名称
BOT_NAME = 'step8_king'

# 2. 爬虫应用路径
SPIDER_MODULES = ['step8_king.spiders']
NEWSPIDER_MODULE = 'step8_king.spiders'

# Crawl responsibly by identifying yourself (and your website) on the user-agent
# 3. 客户端 user-agent请求头
# USER_AGENT = 'step8_king (+http://www.yourdomain.com)'

# Obey robots.txt rules
# 4. 禁止爬虫配置
# ROBOTSTXT_OBEY = False

# Configure maximum concurrent requests performed by Scrapy (default: 16)
# 5. 并发请求数
# CONCURRENT_REQUESTS = 4

# Configure a delay for requests for the same website (default: 0)
# See http://scrapy.readthedocs.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
# 6. 延迟下载秒数
# DOWNLOAD_DELAY = 2


# The download delay setting will honor only one of:
# 7. 单域名访问并发数，并且延迟下次秒数也应用在每个域名
# CONCURRENT_REQUESTS_PER_DOMAIN = 2
# 单IP访问并发数，如果有值则忽略：CONCURRENT_REQUESTS_PER_DOMAIN，并且延迟下次秒数也应用在每个IP
# CONCURRENT_REQUESTS_PER_IP = 3

# Disable cookies (enabled by default)
# 8. 是否支持cookie，cookiejar进行操作cookie
# COOKIES_ENABLED = True
# COOKIES_DEBUG = True

# Disable Telnet Console (enabled by default)
# 9. Telnet用于查看当前爬虫的信息，操作爬虫等...
# 使用telnet ip port ，然后通过命令操作
# TELNETCONSOLE_ENABLED = True
# TELNETCONSOLE_HOST = '127.0.0.1'
# TELNETCONSOLE_PORT = [6023,]


# 10. 默认请求头
# Override the default request headers:
# DEFAULT_REQUEST_HEADERS = {
# 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
# 'Accept-Language': 'en',
# }


# Configure item pipelines
# See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html
# 11. 定义pipeline处理请求
# ITEM_PIPELINES = {
# 'step8_king.pipelines.JsonPipeline': 700,
# 'step8_king.pipelines.FilePipeline': 500,
# }

 

# 12. 自定义扩展，基于信号进行调用
# Enable or disable extensions
# See http://scrapy.readthedocs.org/en/latest/topics/extensions.html
# EXTENSIONS = {
# # 'step8_king.extensions.MyExtension': 500,
# }


# 13. 爬虫允许的最大深度，可以通过meta查看当前深度；0表示无深度
# DEPTH_LIMIT = 3

# 14. 爬取时，0表示深度优先Lifo(默认)；1表示广度优先FiFo

# 后进先出，深度优先
# DEPTH_PRIORITY = 0
# SCHEDULER_DISK_QUEUE = 'scrapy.squeue.PickleLifoDiskQueue'
# SCHEDULER_MEMORY_QUEUE = 'scrapy.squeue.LifoMemoryQueue'
# 先进先出，广度优先

# DEPTH_PRIORITY = 1
# SCHEDULER_DISK_QUEUE = 'scrapy.squeue.PickleFifoDiskQueue'
# SCHEDULER_MEMORY_QUEUE = 'scrapy.squeue.FifoMemoryQueue'

# 15. 调度器队列
# SCHEDULER = 'scrapy.core.scheduler.Scheduler'
# from scrapy.core.scheduler import Scheduler


# 16. 访问URL去重
# DUPEFILTER_CLASS = 'step8_king.duplication.RepeatUrl'


# Enable and configure the AutoThrottle extension (disabled by default)
# See http://doc.scrapy.org/en/latest/topics/autothrottle.html

"""
17. 自动限速算法
from scrapy.contrib.throttle import AutoThrottle
自动限速设置
1. 获取最小延迟 DOWNLOAD_DELAY
2. 获取最大延迟 AUTOTHROTTLE_MAX_DELAY
3. 设置初始下载延迟 AUTOTHROTTLE_START_DELAY
4. 当请求下载完成后，获取其"连接"时间 latency，即：请求连接到接受到响应头之间的时间
5. 用于计算的... AUTOTHROTTLE_TARGET_CONCURRENCY
target_delay = latency / self.target_concurrency
new_delay = (slot.delay + target_delay) / 2.0 # 表示上一次的延迟时间
new_delay = max(target_delay, new_delay)
new_delay = min(max(self.mindelay, new_delay), self.maxdelay)
slot.delay = new_delay
"""

# 开始自动限速
# AUTOTHROTTLE_ENABLED = True
# The initial download delay
# 初始下载延迟
# AUTOTHROTTLE_START_DELAY = 5
# The maximum download delay to be set in case of high latencies
# 最大下载延迟
# AUTOTHROTTLE_MAX_DELAY = 10
# The average number of requests Scrapy should be sending in parallel to each remote server
# 平均每秒并发数
# AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0

# Enable showing throttling stats for every response received:
# 是否显示
# AUTOTHROTTLE_DEBUG = True

# Enable and configure HTTP caching (disabled by default)
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings


"""
18. 启用缓存
目的用于将已经发送的请求或相应缓存下来，以便以后使用

from scrapy.downloadermiddlewares.httpcache import HttpCacheMiddleware
from scrapy.extensions.httpcache import DummyPolicy
from scrapy.extensions.httpcache import FilesystemCacheStorage
"""
# 是否启用缓存策略
# HTTPCACHE_ENABLED = True

# 缓存策略：所有请求均缓存，下次在请求直接访问原来的缓存即可
# HTTPCACHE_POLICY = "scrapy.extensions.httpcache.DummyPolicy"
# 缓存策略：根据Http响应头：Cache-Control、Last-Modified 等进行缓存的策略
# HTTPCACHE_POLICY = "scrapy.extensions.httpcache.RFC2616Policy"

# 缓存超时时间
# HTTPCACHE_EXPIRATION_SECS = 0

# 缓存保存路径
# HTTPCACHE_DIR = 'httpcache'

# 缓存忽略的Http状态码
# HTTPCACHE_IGNORE_HTTP_CODES = []

# 缓存存储的插件
# HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'


"""
19. 代理，需要在环境变量中设置
from scrapy.contrib.downloadermiddleware.httpproxy import HttpProxyMiddleware

方式一：使用默认
os.environ
{
http_proxy:http://root:woshiniba@192.168.11.11:9999/
https_proxy:http://192.168.11.11:9999/
}
方式二：使用自定义下载中间件

def to_bytes(text, encoding=None, errors='strict'):
if isinstance(text, bytes):
return text
if not isinstance(text, six.string_types):
raise TypeError('to_bytes must receive a unicode, str or bytes '
'object, got %s' % type(text).__name__)
if encoding is None:
encoding = 'utf-8'
return text.encode(encoding, errors)

class ProxyMiddleware(object):
def process_request(self, request, spider):
PROXIES = [
{'ip_port': '111.11.228.75:80', 'user_pass': ''},
{'ip_port': '120.198.243.22:80', 'user_pass': ''},
{'ip_port': '111.8.60.9:8123', 'user_pass': ''},
{'ip_port': '101.71.27.120:80', 'user_pass': ''},
{'ip_port': '122.96.59.104:80', 'user_pass': ''},
{'ip_port': '122.224.249.122:8088', 'user_pass': ''},
]
proxy = random.choice(PROXIES)
if proxy['user_pass'] is not None:
request.meta['proxy'] = to_bytes（"http://%s" % proxy['ip_port']）
encoded_user_pass = base64.encodestring(to_bytes(proxy['user_pass']))
request.headers['Proxy-Authorization'] = to_bytes('Basic ' + encoded_user_pass)
print "**************ProxyMiddleware have pass************" + proxy['ip_port']
else:
print "**************ProxyMiddleware no pass************" + proxy['ip_port']
request.meta['proxy'] = to_bytes("http://%s" % proxy['ip_port'])

DOWNLOADER_MIDDLEWARES = {
'step8_king.middlewares.ProxyMiddleware': 500,
}

"""

"""
20. Https访问
Https访问时有两种情况：
1. 要爬取网站使用的可信任证书(默认支持)
DOWNLOADER_HTTPCLIENTFACTORY = "scrapy.core.downloader.webclient.ScrapyHTTPClientFactory"
DOWNLOADER_CLIENTCONTEXTFACTORY = "scrapy.core.downloader.contextfactory.ScrapyClientContextFactory"

2. 要爬取网站使用的自定义证书
DOWNLOADER_HTTPCLIENTFACTORY = "scrapy.core.downloader.webclient.ScrapyHTTPClientFactory"
DOWNLOADER_CLIENTCONTEXTFACTORY = "step8_king.https.MySSLFactory"

# https.py
from scrapy.core.downloader.contextfactory import ScrapyClientContextFactory
from twisted.internet.ssl import (optionsForClientTLS, CertificateOptions, PrivateCertificate)

class MySSLFactory(ScrapyClientContextFactory):
def getCertificateOptions(self):
from OpenSSL import crypto
v1 = crypto.load_privatekey(crypto.FILETYPE_PEM, open('/Users/wupeiqi/client.key.unsecure', mode='r').read())
v2 = crypto.load_certificate(crypto.FILETYPE_PEM, open('/Users/wupeiqi/client.pem', mode='r').read())
return CertificateOptions(
privateKey=v1, # pKey对象
certificate=v2, # X509对象
verify=False,
method=getattr(self, 'method', getattr(self, '_ssl_method', None))
)
其他：
相关类
scrapy.core.downloader.handlers.http.HttpDownloadHandler
scrapy.core.downloader.webclient.ScrapyHTTPClientFactory
scrapy.core.downloader.contextfactory.ScrapyClientContextFactory
相关配置
DOWNLOADER_HTTPCLIENTFACTORY
DOWNLOADER_CLIENTCONTEXTFACTORY

"""

 

"""
21. 爬虫中间件
class SpiderMiddleware(object):

def process_spider_input(self,response, spider):
'''
下载完成，执行，然后交给parse处理
:param response:
:param spider:
:return:
'''
pass

def process_spider_output(self,response, result, spider):
'''
spider处理完成，返回时调用
:param response:
:param result:
:param spider:
:return: 必须返回包含 Request 或 Item 对象的可迭代对象(iterable)
'''
return result

def process_spider_exception(self,response, exception, spider):
'''
异常调用
:param response:
:param exception:
:param spider:
:return: None,继续交给后续中间件处理异常；含 Response 或 Item 的可迭代对象(iterable)，交给调度器或pipeline
'''
return None


def process_start_requests(self,start_requests, spider):
'''
爬虫启动时调用
:param start_requests:
:param spider:
:return: 包含 Request 对象的可迭代对象
'''
return start_requests

内置爬虫中间件：
'scrapy.contrib.spidermiddleware.httperror.HttpErrorMiddleware': 50,
'scrapy.contrib.spidermiddleware.offsite.OffsiteMiddleware': 500,
'scrapy.contrib.spidermiddleware.referer.RefererMiddleware': 700,
'scrapy.contrib.spidermiddleware.urllength.UrlLengthMiddleware': 800,
'scrapy.contrib.spidermiddleware.depth.DepthMiddleware': 900,

"""
# from scrapy.contrib.spidermiddleware.referer import RefererMiddleware
# Enable or disable spider middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html
SPIDER_MIDDLEWARES = {
# 'step8_king.middlewares.SpiderMiddleware': 543,
}


"""
22. 下载中间件
class DownMiddleware1(object):
def process_request(self, request, spider):
'''
请求需要被下载时，经过所有下载器中间件的process_request调用
:param request:
:param spider:
:return:
None,继续后续中间件去下载；
Response对象，停止process_request的执行，开始执行process_response
Request对象，停止中间件的执行，将Request重新调度器
raise IgnoreRequest异常，停止process_request的执行，开始执行process_exception
'''
pass



def process_response(self, request, response, spider):
'''
spider处理完成，返回时调用
:param response:
:param result:
:param spider:
:return:
Response 对象：转交给其他中间件process_response
Request 对象：停止中间件，request会被重新调度下载
raise IgnoreRequest 异常：调用Request.errback
'''
print('response1')
return response

def process_exception(self, request, exception, spider):
'''
当下载处理器(download handler)或 process_request() (下载中间件)抛出异常
:param response:
:param exception:
:param spider:
:return:
None：继续交给后续中间件处理异常；
Response对象：停止后续process_exception方法
Request对象：停止中间件，request将会被重新调用下载
'''
return None


默认下载中间件
{
'scrapy.contrib.downloadermiddleware.robotstxt.RobotsTxtMiddleware': 100,
'scrapy.contrib.downloadermiddleware.httpauth.HttpAuthMiddleware': 300,
'scrapy.contrib.downloadermiddleware.downloadtimeout.DownloadTimeoutMiddleware': 350,
'scrapy.contrib.downloadermiddleware.useragent.UserAgentMiddleware': 400,
'scrapy.contrib.downloadermiddleware.retry.RetryMiddleware': 500,
'scrapy.contrib.downloadermiddleware.defaultheaders.DefaultHeadersMiddleware': 550,
'scrapy.contrib.downloadermiddleware.redirect.MetaRefreshMiddleware': 580,
'scrapy.contrib.downloadermiddleware.httpcompression.HttpCompressionMiddleware': 590,
'scrapy.contrib.downloadermiddleware.redirect.RedirectMiddleware': 600,
'scrapy.contrib.downloadermiddleware.cookies.CookiesMiddleware': 700,
'scrapy.contrib.downloadermiddleware.httpproxy.HttpProxyMiddleware': 750,
'scrapy.contrib.downloadermiddleware.chunked.ChunkedTransferMiddleware': 830,
'scrapy.contrib.downloadermiddleware.stats.DownloaderStats': 850,
'scrapy.contrib.downloadermiddleware.httpcache.HttpCacheMiddleware': 900,
}

"""
# from scrapy.contrib.downloadermiddleware.httpauth import HttpAuthMiddleware
# Enable or disable downloader middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
# DOWNLOADER_MIDDLEWARES = {
# 'step8_king.middlewares.DownMiddleware1': 100,
# 'step8_king.middlewares.DownMiddleware2': 500,
# }

Settings

自定义命令

首先创建一个commands目录，在其中创建一个文件，文件名就是命令名

crawlall.py

复制代码
from scrapy.commands import ScrapyCommand
from scrapy.utils.project import get_project_settings


class Command(ScrapyCommand):
    requires_project = True

    def syntax(self):
        return '[options]'

    def short_desc(self):
        return 'Runs all of the spiders'

    def run(self, args, opts):
        spider_list = self.crawler_process.spiders.list()
        for name in spider_list:
            self.crawler_process.crawl(name, **opts.__dict__)
        self.crawler_process.start()
复制代码

这样使用scrapy crawlall命令启动项目就可以执行所有的spider爬虫文件了，这里的self.crawler_process.crawl(name, **opts.__dict__)和self.crawler_process.start()就是爬虫项目的入口

short_desc中的内容就是scrapy --help时能看到的命令解释

源码

复制代码
def run(self, args, opts):
    from scrapy.crawler import CrawlerProcess
    CrawlerProcess.crawl
    CrawlerProcess.start
    """
    self.crawler_process对象中含有：_active = {d,}
    """
    self.crawler_process.crawl('chouti',**opts.__dict__)
    self.crawler_process.crawl('cnblogs',**opts.__dict__)
    #
    self.crawler_process.start()
复制代码

TinyScrapy

 示例1

from twisted.web.client import getPage
from twisted.internet import reactor
from twisted.internet import defer

url_list = ['http://www.bing.com', 'http://www.baidu.com', ]


def callback(arg):
print('回来一个', arg)


defer_list = []
for url in url_list:
ret = getPage(bytes(url, encoding='utf8'))
ret.addCallback(callback)
defer_list.append(ret)


def stop(arg):
print('已经全部现在完毕', arg)
reactor.stop()


d = defer.DeferredList(defer_list)
d.addBoth(stop)

reactor.run()

示例1

 示例2

#!/usr/bin/env python
# -*- coding:utf-8 -*-
from twisted.web.client import getPage
from twisted.internet import reactor
from twisted.internet import defer


@defer.inlineCallbacks
def task(url):
ret = getPage(bytes(url, encoding='utf8'))
ret.addCallback(callback)
yield ret


def callback(arg):
print('回来一个', arg)


url_list = ['http://www.bing.com', 'http://www.baidu.com', ]
defer_list = []
for url in url_list:
ret = task(url)
defer_list.append(ret)


def stop(arg):
print('已经全部现在完毕', arg)
reactor.stop()


d = defer.DeferredList(defer_list)
d.addBoth(stop)
reactor.run()

示例2

 示例3

#!/usr/bin/env python
# -*- coding:utf-8 -*-
from twisted.internet import defer
from twisted.web.client import getPage
from twisted.internet import reactor
import threading


def _next_request():
_next_request_from_scheduler()


def _next_request_from_scheduler():
ret = getPage(bytes('http://www.chouti.com', encoding='utf8'))
ret.addCallback(callback)
ret.addCallback(lambda _: reactor.callLater(0, _next_request))


_closewait = None

@defer.inlineCallbacks
def engine_start():
global _closewait
_closewait = defer.Deferred()
yield _closewait


@defer.inlineCallbacks
def task(url):
reactor.callLater(0, _next_request)
yield engine_start()


counter = 0
def callback(arg):
global counter
counter +=1
if counter == 10:
_closewait.callback(None)
print('one', len(arg))


def stop(arg):
print('all done', arg)
reactor.stop()


if __name__ == '__main__':
url = 'http://www.cnblogs.com'

defer_list = []
deferObj = task(url)
defer_list.append(deferObj)

v = defer.DeferredList(defer_list)
v.addBoth(stop)
reactor.run()

示例3

 模拟scrapy框架

#!/usr/bin/env python
# -*- coding:utf-8 -*-
from twisted.web.client import getPage, defer
from twisted.internet import reactor
import queue


class Response(object):
def __init__(self, body, request):
self.body = body
self.request = request
self.url = request.url

@property
def text(self):
return self.body.decode('utf-8')


class Request(object):
def __init__(self, url, callback=None):
self.url = url
self.callback = callback


class Scheduler(object):
def __init__(self, engine):
self.q = queue.Queue()
self.engine = engine

def enqueue_request(self, request):
self.q.put(request)

def next_request(self):
try:
req = self.q.get(block=False)
except Exception as e:
req = None

return req

def size(self):
return self.q.qsize()


class ExecutionEngine(object):
def __init__(self):
self._closewait = None
self.running = True
self.start_requests = None
self.scheduler = Scheduler(self)

self.inprogress = set()

def check_empty(self, response):
if not self.running:
self._closewait.callback('......')

def _next_request(self):
while self.start_requests:
try:
request = next(self.start_requests)
except StopIteration:
self.start_requests = None
else:
self.scheduler.enqueue_request(request)

while len(self.inprogress) < 5 and self.scheduler.size() > 0: # 最大并发数为5

request = self.scheduler.next_request()
if not request:
break

self.inprogress.add(request)
d = getPage(bytes(request.url, encoding='utf-8'))
d.addBoth(self._handle_downloader_output, request)
d.addBoth(lambda x, req: self.inprogress.remove(req), request)
d.addBoth(lambda x: self._next_request())

if len(self.inprogress) == 0 and self.scheduler.size() == 0:
self._closewait.callback(None)

def _handle_downloader_output(self, body, request):
"""
获取内容，执行回调函数，并且把回调函数中的返回值获取，并添加到队列中
:param response:
:param request:
:return:
"""
import types

response = Response(body, request)
func = request.callback or self.spider.parse
gen = func(response)
if isinstance(gen, types.GeneratorType):
for req in gen:
self.scheduler.enqueue_request(req)

@defer.inlineCallbacks
def start(self):
self._closewait = defer.Deferred()
yield self._closewait

def open_spider(self, spider, start_requests):
self.start_requests = start_requests
self.spider = spider
reactor.callLater(0, self._next_request)


class Crawler(object):
def __init__(self, spidercls):
self.spidercls = spidercls

self.spider = None
self.engine = None

@defer.inlineCallbacks
def crawl(self):
self.engine = ExecutionEngine()
self.spider = self.spidercls()
start_requests = iter(self.spider.start_requests())
start_requests = iter(start_requests)
self.engine.open_spider(self.spider, start_requests)
yield self.engine.start()


class CrawlerProcess(object):
def __init__(self):
self._active = set()
self.crawlers = set()

def crawl(self, spidercls, *args, **kwargs):
crawler = Crawler(spidercls)

self.crawlers.add(crawler)
d = crawler.crawl(*args, **kwargs)
self._active.add(d)
return d

def start(self):
dl = defer.DeferredList(self._active)
dl.addBoth(self._stop_reactor)
reactor.run()

def _stop_reactor(self, _=None):
reactor.stop()


class Spider(object):
def start_requests(self):
for url in self.start_urls:
yield Request(url)


class ChoutiSpider(Spider):
name = "chouti"
start_urls = [
'http://dig.chouti.com/',
]

def parse(self, response):
print(response.text)


class CnblogsSpider(Spider):
name = "cnblogs"
start_urls = [
'http://www.cnblogs.com/',
]

def parse(self, response):
print(response.text)


if __name__ == '__main__':

spider_cls_list = [ChoutiSpider, CnblogsSpider]

crawler_process = CrawlerProcess()
for spider_cls in spider_cls_list:
crawler_process.crawl(spider_cls)

crawler_process.start()

模拟scrapy框架

 参考版

#!/usr/bin/env python
# -*- coding:utf-8 -*-
import types
from twisted.internet import defer
from twisted.web.client import getPage
from twisted.internet import reactor

 

class Request(object):
def __init__(self, url, callback):
self.url = url
self.callback = callback
self.priority = 0


class HttpResponse(object):
def __init__(self, content, request):
self.content = content
self.request = request


class ChouTiSpider(object):

def start_requests(self):
url_list = ['http://www.cnblogs.com/', 'http://www.bing.com']
for url in url_list:
yield Request(url=url, callback=self.parse)

def parse(self, response):
print(response.request.url)
# yield Request(url="http://www.baidu.com", callback=self.parse)

 


from queue import Queue
Q = Queue()


class CallLaterOnce(object):
def __init__(self, func, *a, **kw):
self._func = func
self._a = a
self._kw = kw
self._call = None

def schedule(self, delay=0):
if self._call is None:
self._call = reactor.callLater(delay, self)

def cancel(self):
if self._call:
self._call.cancel()

def __call__(self):
self._call = None
return self._func(*self._a, **self._kw)


class Engine(object):
def __init__(self):
self.nextcall = None
self.crawlling = []
self.max = 5
self._closewait = None

def get_response(self,content, request):
response = HttpResponse(content, request)
gen = request.callback(response)
if isinstance(gen, types.GeneratorType):
for req in gen:
req.priority = request.priority + 1
Q.put(req)


def rm_crawlling(self,response,d):
self.crawlling.remove(d)

def _next_request(self,spider):
if Q.qsize() == 0 and len(self.crawlling) == 0:
self._closewait.callback(None)

if len(self.crawlling) >= 5:
return
while len(self.crawlling) < 5:
try:
req = Q.get(block=False)
except Exception as e:
req = None
if not req:
return
d = getPage(req.url.encode('utf-8'))
self.crawlling.append(d)
d.addCallback(self.get_response, req)
d.addCallback(self.rm_crawlling,d)
d.addCallback(lambda _: self.nextcall.schedule())


@defer.inlineCallbacks
def crawl(self):
spider = ChouTiSpider()
start_requests = iter(spider.start_requests())
flag = True
while flag:
try:
req = next(start_requests)
Q.put(req)
except StopIteration as e:
flag = False

self.nextcall = CallLaterOnce(self._next_request,spider)
self.nextcall.schedule()

self._closewait = defer.Deferred()
yield self._closewait

@defer.inlineCallbacks
def pp(self):
yield self.crawl()

_active = set()
obj = Engine()
d = obj.crawl()
_active.add(d)

li = defer.DeferredList(_active)
li.addBoth(lambda _,*a,**kw: reactor.stop())

reactor.run()

参考版

 

 

posted on 2019-05-14 09:48  斜阳红红  阅读(449)  评论(0)    收藏  举报
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