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  • Scrapy

    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

    一、安装

    Linux
          pip install scrapy
     
     
    Windows
          a. pip 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‑17.1.0‑cp35‑cp35m‑win_amd64.whl
          d. pip install scrapy
          e. 下载并安装pywin32：https://sourceforge.net/projects/pywin32/files/

    二、基本使用

    1. 基本命令

    1. scrapy startproject 项目名称
       - 在当前目录中创建中创建一个项目文件（类似于Django）
     
    2. scrapy genspider [-t template] <name> <domain>
       - 创建爬虫应用
       如：
          scrapy gensipider -t basic oldboy oldboy.com
          scrapy gensipider -t xmlfeed autohome autohome.com.cn
       PS:
          查看所有命令：scrapy gensipider -l
          查看模板命令：scrapy gensipider -d 模板名称
     
    3. scrapy list
       - 展示爬虫应用列表
     
    4. scrapy crawl 爬虫应用名称
       - 运行单独爬虫应用
     

    2.项目结构以及爬虫应用简介

    project_name/
       scrapy.cfg
       project_name/
           __init__.py
           items.py
           pipelines.py
           settings.py
           spiders/
               __init__.py
               爬虫1.py
               爬虫2.py
               爬虫3.py

    文件说明：

    • scrapy.cfg  项目的主配置信息。（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
     1 import scrapy
 2  
 3 class XiaoHuarSpider(scrapy.spiders.Spider):
 4     name = "xiaohuar"                            # 爬虫名称 *****
 5     allowed_domains = ["xiaohuar.com"]  # 允许的域名
 6     start_urls = [
 7         "http://www.xiaohuar.com/hua/",   # 其实URL
 8     ]
 9  
10     def parse(self, response):
11         # 访问起始URL并获取结果后的回调函数
12 
13 爬虫1.py
    View Code
    import sys,os
sys.stdout=io.TextIOWrapper(sys.stdout.buffer,encoding='gb18030')

     1 import scrapy
 2 from scrapy.selector import HtmlXPathSelector
 3 from scrapy.http.request import Request
 4  
 5  
 6 class DigSpider(scrapy.Spider):
 7     # 爬虫应用的名称，通过此名称启动爬虫命令
 8     name = "dig"
 9  
10     # 允许的域名
11     allowed_domains = ["chouti.com"]
12  
13     # 起始URL
14     start_urls = [
15         'http://dig.chouti.com/',
16     ]
17  
18     has_request_set = {}
19  
20     def parse(self, response):
21         print(response.url)
22  
23         hxs = HtmlXPathSelector(response)
24         page_list = hxs.select('//div[@id="dig_lcpage"]//a[re:test(@href, "/all/hot/recent/d+")]/@href').extract()
25         for page in page_list:
26             page_url = 'http://dig.chouti.com%s' % page
27             key = self.md5(page_url)
28             if key in self.has_request_set:
29                 pass
30             else:
31                 self.has_request_set[key] = page_url
32                 obj = Request(url=page_url, method='GET', callback=self.parse)
33                 yield obj
34  
35     @staticmethod
36     def md5(val):
37         import hashlib
38         ha = hashlib.md5()
39         ha.update(bytes(val, encoding='utf-8'))
40         key = ha.hexdigest()
41         return key
    View Code

    执行此爬虫文件，则在终端进入项目目录执行如下命令：

    scrapy crawl dig --nolog

    对于上述代码重要之处在于：

    • Request是一个封装用户请求的类，在回调函数中yield该对象表示继续访问
    • HtmlXpathSelector用于结构化HTML代码并提供选择器功能
     1 #!/usr/bin/env python
 2 # -*- coding:utf-8 -*-
 3 from scrapy.selector import Selector, HtmlXPathSelector
 4 from scrapy.http import HtmlResponse
 5 html = """<!DOCTYPE html>
 6 <html>
 7     <head lang="en">
 8         <meta charset="UTF-8">
 9         <title></title>
10     </head>
11     <body>
12         <ul>
13             <li class="item-"><a id='i1' href="link.html">first item</a></li>
14             <li class="item-0"><a id='i2' href="llink.html">first item</a></li>
15             <li class="item-1"><a href="llink2.html">second item<span>vv</span></a></li>
16         </ul>
17         <div><a href="llink2.html">second item</a></div>
18     </body>
19 </html>
20 """
21 response = HtmlResponse(url='http://example.com', body=html,encoding='utf-8')
22 # hxs = HtmlXPathSelector(response)
23 # print(hxs)
24 # hxs = Selector(response=response).xpath('//a')
25 # print(hxs)
26 # hxs = Selector(response=response).xpath('//a[2]')
27 # print(hxs)
28 # hxs = Selector(response=response).xpath('//a[@id]')
29 # print(hxs)
30 # hxs = Selector(response=response).xpath('//a[@id="i1"]')
31 # print(hxs)
32 # hxs = Selector(response=response).xpath('//a[@href="link.html"][@id="i1"]')
33 # print(hxs)
34 # hxs = Selector(response=response).xpath('//a[contains(@href, "link")]')
35 # print(hxs)
36 # hxs = Selector(response=response).xpath('//a[starts-with(@href, "link")]')
37 # print(hxs)
38 # hxs = Selector(response=response).xpath('//a[re:test(@id, "id+")]')
39 # print(hxs)
40 # hxs = Selector(response=response).xpath('//a[re:test(@id, "id+")]/text()').extract()
41 # print(hxs)
42 # hxs = Selector(response=response).xpath('//a[re:test(@id, "id+")]/@href').extract()
43 # print(hxs)
44 # hxs = Selector(response=response).xpath('/html/body/ul/li/a/@href').extract()
45 # print(hxs)
46 # hxs = Selector(response=response).xpath('//body/ul/li/a/@href').extract_first()
47 # print(hxs)
48  
49 # ul_list = Selector(response=response).xpath('//body/ul/li')
50 # for item in ul_list:
51 #     v = item.xpath('./a/span')
52 #     # 或
53 #     # v = item.xpath('a/span')
54 #     # 或
55 #     # v = item.xpath('*/a/span')
56 #     print(v)
    选择器
     1 # -*- coding: utf-8 -*-
 2 import scrapy
 3 from scrapy.selector import HtmlXPathSelector
 4 from scrapy.http.request import Request
 5 from scrapy.http.cookies import CookieJar
 6 from scrapy import FormRequest
 7 
 8 
 9 class ChouTiSpider(scrapy.Spider):
10     # 爬虫应用的名称，通过此名称启动爬虫命令
11     name = "chouti"
12     # 允许的域名
13     allowed_domains = ["chouti.com"]
14 
15     cookie_dict = {}
16     has_request_set = {}
17 
18     def start_requests(self):
19         url = 'http://dig.chouti.com/'
20         # return [Request(url=url, callback=self.login)]
21         yield Request(url=url, callback=self.login)
22 
23     def login(self, response):
24         cookie_jar = CookieJar()
25         cookie_jar.extract_cookies(response, response.request)
26         for k, v in cookie_jar._cookies.items():
27             for i, j in v.items():
28                 for m, n in j.items():
29                     self.cookie_dict[m] = n.value
30 
31         req = Request(
32             url='http://dig.chouti.com/login',
33             method='POST',
34             headers={'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8'},
35             body='phone=8615131255089&password=pppppppp&oneMonth=1',
36             cookies=self.cookie_dict,
37             callback=self.check_login
38         )
39         yield req
40 
41     def check_login(self, response):
42         req = Request(
43             url='http://dig.chouti.com/',
44             method='GET',
45             callback=self.show,
46             cookies=self.cookie_dict,
47             dont_filter=True
48         )
49         yield req
50 
51     def show(self, response):
52         # print(response)
53         hxs = HtmlXPathSelector(response)
54         news_list = hxs.select('//div[@id="content-list"]/div[@class="item"]')
55         for new in news_list:
56             # temp = new.xpath('div/div[@class="part2"]/@share-linkid').extract()
57             link_id = new.xpath('*/div[@class="part2"]/@share-linkid').extract_first()
58             yield Request(
59                 url='http://dig.chouti.com/link/vote?linksId=%s' %(link_id,),
60                 method='POST',
61                 cookies=self.cookie_dict,
62                 callback=self.do_favor
63             )
64 
65         page_list = hxs.select('//div[@id="dig_lcpage"]//a[re:test(@href, "/all/hot/recent/d+")]/@href').extract()
66         for page in page_list:
67 
68             page_url = 'http://dig.chouti.com%s' % page
69             import hashlib
70             hash = hashlib.md5()
71             hash.update(bytes(page_url,encoding='utf-8'))
72             key = hash.hexdigest()
73             if key in self.has_request_set:
74                 pass
75             else:
76                 self.has_request_set[key] = page_url
77                 yield Request(
78                     url=page_url,
79                     method='GET',
80                     callback=self.show
81                 )
82 
83     def do_favor(self, response):
84         print(response.text)
85 
86 示例：自动登陆抽屉并点赞
    登录点赞事例

     格式化处理

     1 import scrapy
 2 from scrapy.selector import HtmlXPathSelector
 3 from scrapy.http.request import Request
 4 from scrapy.http.cookies import CookieJar
 5 from scrapy import FormRequest
 6 
 7 
 8 class XiaoHuarSpider(scrapy.Spider):
 9     # 爬虫应用的名称，通过此名称启动爬虫命令
10     name = "xiaohuar"
11     # 允许的域名
12     allowed_domains = ["xiaohuar.com"]
13 
14     start_urls = [
15         "http://www.xiaohuar.com/list-1-1.html",
16     ]
17     # custom_settings = {
18     #     'ITEM_PIPELINES':{
19     #         'spider1.pipelines.JsonPipeline': 100
20     #     }
21     # }
22     has_request_set = {}
23 
24     def parse(self, response):
25         # 分析页面
26         # 找到页面中符合规则的内容（校花图片），保存
27         # 找到所有的a标签，再访问其他a标签，一层一层的搞下去
28 
29         hxs = HtmlXPathSelector(response)
30 
31         items = hxs.select('//div[@class="item_list infinite_scroll"]/div')
32         for item in items:
33             src = item.select('.//div[@class="img"]/a/img/@src').extract_first()
34             name = item.select('.//div[@class="img"]/span/text()').extract_first()
35             school = item.select('.//div[@class="img"]/div[@class="btns"]/a/text()').extract_first()
36             url = "http://www.xiaohuar.com%s" % src
37             from ..items import XiaoHuarItem
38             obj = XiaoHuarItem(name=name, school=school, url=url)
39             yield obj
40 
41         urls = hxs.select('//a[re:test(@href, "http://www.xiaohuar.com/list-1-d+.html")]/@href')
42         for url in urls:
43             key = self.md5(url)
44             if key in self.has_request_set:
45                 pass
46             else:
47                 self.has_request_set[key] = url
48                 req = Request(url=url,method='GET',callback=self.parse)
49                 yield req
50 
51     @staticmethod
52     def md5(val):
53         import hashlib
54         ha = hashlib.md5()
55         ha.update(bytes(val, encoding='utf-8'))
56         key = ha.hexdigest()
57         return key
58 
59 spiders/xiahuar.py
    spiders/xiahuar.py
    1 import scrapy
2 
3 
4 class XiaoHuarItem(scrapy.Item):
5     name = scrapy.Field()
6     school = scrapy.Field()
7     url = scrapy.Field()
    items
     1 import json
 2 import os
 3 import requests
 4 
 5 
 6 class JsonPipeline(object):
 7     def __init__(self):
 8         self.file = open('xiaohua.txt', 'w')
 9 
10     def process_item(self, item, spider):
11         v = json.dumps(dict(item), ensure_ascii=False)
12         self.file.write(v)
13         self.file.write('
')
14         self.file.flush()
15         return item
16 
17 
18 class FilePipeline(object):
19     def __init__(self):
20         if not os.path.exists('imgs'):
21             os.makedirs('imgs')
22 
23     def process_item(self, item, spider):
24         response = requests.get(item['url'], stream=True)
25         file_name = '%s_%s.jpg' % (item['name'], item['school'])
26         with open(os.path.join('imgs', file_name), mode='wb') as f:
27             f.write(response.content)
28         return item
    pipelines
    ITEM_PIPELINES = {
   'spider1.pipelines.JsonPipeline': 100,
   'spider1.pipelines.FilePipeline': 300,
}
# 每行后面的整型值，确定了他们运行的顺序，item按数字从低到高的顺序，通过pipeline，通常将这些数字定义在0-1000范围内。

    　　对于pipeline可以做更多，如下：

    from scrapy.exceptions import DropItem

class CustomPipeline(object):
    def __init__(self,v):
        self.value = v

    def process_item(self, item, spider):
        # 操作并进行持久化

        # return表示会被后续的pipeline继续处理
        return item

        # 表示将item丢弃，不会被后续pipeline处理
        # raise DropItem()


    @classmethod
    def from_crawler(cls, crawler):
        """
        初始化时候，用于创建pipeline对象
        :param crawler: 
        :return: 
        """
        val = crawler.settings.getint('MMMM')
        return cls(val)

    def open_spider(self,spider):
        """
        爬虫开始执行时，调用
        :param spider: 
        :return: 
        """
        print('000000')

    def close_spider(self,spider):
        """
        爬虫关闭时，被调用
        :param spider: 
        :return: 
        """
        print('111111')

自定义pipeline

    　　

    中间件

     1 class SpiderMiddleware(object):
 2 
 3     def process_spider_input(self,response, spider):
 4         """
 5         下载完成，执行，然后交给parse处理
 6         :param response: 
 7         :param spider: 
 8         :return: 
 9         """
10         pass
11 
12     def process_spider_output(self,response, result, spider):
13         """
14         spider处理完成，返回时调用
15         :param response:
16         :param result:
17         :param spider:
18         :return: 必须返回包含 Request 或 Item 对象的可迭代对象(iterable)
19         """
20         return result
21 
22     def process_spider_exception(self,response, exception, spider):
23         """
24         异常调用
25         :param response:
26         :param exception:
27         :param spider:
28         :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
29         """
30         return None
31 
32 
33     def process_start_requests(self,start_requests, spider):
34         """
35         爬虫启动时调用
36         :param start_requests:
37         :param spider:
38         :return: 包含 Request 对象的可迭代对象
39         """
40         return start_requests
    爬虫中间件
     1 class DownMiddleware1(object):
 2     def process_request(self, request, spider):
 3         """
 4         请求需要被下载时，经过所有下载器中间件的process_request调用
 5         :param request: 
 6         :param spider: 
 7         :return:  
 8             None,继续后续中间件去下载；
 9             Response对象，停止process_request的执行，开始执行process_response
10             Request对象，停止中间件的执行，将Request重新调度器
11             raise IgnoreRequest异常，停止process_request的执行，开始执行process_exception
12         """
13         pass
14 
15 
16 
17     def process_response(self, request, response, spider):
18         """
19         spider处理完成，返回时调用
20         :param response:
21         :param result:
22         :param spider:
23         :return: 
24             Response 对象：转交给其他中间件process_response
25             Request 对象：停止中间件，request会被重新调度下载
26             raise IgnoreRequest 异常：调用Request.errback
27         """
28         print('response1')
29         return response
30 
31     def process_exception(self, request, exception, spider):
32         """
33         当下载处理器(download handler)或 process_request() (下载中间件)抛出异常
34         :param response:
35         :param exception:
36         :param spider:
37         :return: 
38             None：继续交给后续中间件处理异常；
39             Response对象：停止后续process_exception方法
40             Request对象：停止中间件，request将会被重新调用下载
41         """
42         return None
    下载器中间件

    自定制命令

    • 在spiders同级创建任意目录，如：commands
    • 在其中创建 crawlall.py 文件 （此处文件名就是自定义的命令）
    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()

    　　

    • 在settings.py 中添加配置 COMMANDS_MODULE = '项目名称.目录名称'
    • 在项目目录执行命令：scrapy crawlall 

    自定义扩展

    自定义扩展时，利用信号在指定位置注册制定操作

    from scrapy import signals


class MyExtension(object):
    def __init__(self, value):
        self.value = value

    @classmethod
    def from_crawler(cls, crawler):
        val = crawler.settings.getint('MMMM')
        ext = cls(val)

        crawler.signals.connect(ext.spider_opened, signal=signals.spider_opened)
        crawler.signals.connect(ext.spider_closed, signal=signals.spider_closed)

        return ext

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

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

    　　

    避免重复访问

    scrapy默认使用 scrapy.dupefilter.RFPDupeFilter 进行去重，相关配置有：

    DUPEFILTER_CLASS = 'scrapy.dupefilter.RFPDupeFilter'
    DUPEFILTER_DEBUG = False
    JOBDIR = "保存范文记录的日志路径，如：/root/"  # 最终路径为 /root/requests.seen
    class RepeatUrl:
    def __init__(self):
        self.visited_url = set()

    @classmethod
    def from_settings(cls, settings):
        """
        初始化时，调用
        :param settings: 
        :return: 
        """
        return cls()

    def request_seen(self, request):
        """
        检测当前请求是否已经被访问过
        :param request: 
        :return: True表示已经访问过；False表示未访问过
        """
        if request.url in self.visited_url:
            return True
        self.visited_url.add(request.url)
        return False

    def open(self):
        """
        开始爬去请求时，调用
        :return: 
        """
        print('open replication')

    def close(self, reason):
        """
        结束爬虫爬取时，调用
        :param reason: 
        :return: 
        """
        print('close replication')

    def log(self, request, spider):
        """
        记录日志
        :param request: 
        :param spider: 
        :return: 
        """
        print('repeat', request.url)

自定义URL去重操作

    　　其他

    # -*- 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

    　　TinyScrapy

    #!/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()

    　　
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  • 原文地址：https://www.cnblogs.com/jcwit/p/7804067.html
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