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目录

CrawlSpider

介绍

xj.py

中间件

部分middlewares.py

wyxw.py 

完整的middlewares.py

---

CrawlSpider

介绍

CrawlSpider类：定义了一些规则来做数据爬取，从爬取的网页中获取链接并进行继续爬取.

创建方式：scrapy genspider -t crawl 爬虫名 爬虫域名
scrapy genspider -t crawl zz zz.com

(子类就是牛,因为可以继承啊,还可以有自己的方法.)
spider类--》ZzscSpider类
spider类--》CrawLSpider类--》XjSpider类
CrawLSpider类：定义了一些规则来做数据爬取，从爬取的网页中获取链接并进行继续爬取

这个子类注意好 规则 , 有助于帮你跟进追踪类似数据(多页,类似html结构),  是这个子类最大的特点.

--正则匹配 !!!

新疆xxedu

xj.py

import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule


class XjSpider(CrawlSpider):
    name = "xj"
    # allowed_domains = ["xj.com"]
    start_urls = ["https://www.xjie.edu.cn/tzgg1.htm"]
    # 规则,根据正则匹配: \ 转义, ^ 开始, $ 结束, () 分组, [] 范围, | 或, + 1次或多次, * 0次或多次
    # 获取详情页链接:
    # rules = (Rule(LinkExtractor(allow=r"Items/"), callback="parse_item", follow=True),)
    # follow属性为True,会自动跟进详情页链接,并调用parse_item方法处理.
    rules = (
        Rule(
            LinkExtractor(allow=r"info/1061/.*?\.htm"),
            callback="parse_item",
            follow=False,
        ),
        Rule(LinkExtractor(allow=r"tzgg1/.*?\.htm"), follow=True),
    )
    count = 0

    # 匹配100次,就进入parse_item方法100次.
    def parse_item(self, response):
        # print(response.request.headers) #查看伪装的请求头
        self.count += 1
        # 基于详情页,获取标题:
        title = response.xpath("//h3/text()").get()
        print(title, self.count)  # 竟然也自动拿到了分页的url.

        item = {}
        # item["domain_id"] = response.xpath('//input[@id="sid"]/@value').get()
        # item["name"] = response.xpath('//div[@id="name"]').get()
        # item["description"] = response.xpath('//div[@id="description"]').get()

        return item

---

中间件

scrapy中有两个中间件:

下载中间件：位于引擎和下载器中间.

爬虫中间件：位于引擎和爬虫中间.(一般不用)

---

下载中间件的作用:

用来篡改请求和响应，比如篡改请求：加一些请求头，加代理等等;

篡改响应就是更改响应的内容.

# 下载器

拦截请求 --伪装

拦截响应 --修改返回内容

 

 

---

部分middlewares.py

settings.py里面的是全局设置,在这你可以自己定义爬虫的伪装~~

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

from scrapy import signals

# useful for handling different item types with a single interface
from itemadapter import is_item, ItemAdapter

# 引擎把请求对象交给下载器,下载器把响应对象交给引擎.


class ScrapyDemo1SpiderMiddleware:
    # 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.

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

    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.
        return None

    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, or item objects.
        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 Request or item objects.
        pass

    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).
        for r in start_requests:
            yield r

    def spider_opened(self, spider):
        spider.logger.info("Spider opened: %s" % spider.name)


class ScrapyDemo1DownloaderMiddleware:
    # Not all methods need to be defined. If a method is not defined,
    # scrapy acts as if the downloader middleware does not modify the
    # passed objects.

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

    # 发起请求执行的方法
    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
        #
        # if spider.name == "wyxw": # 判断,如果是指定爬虫,则修改请求头.
        request.headers["User-Agent"] = (
            "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36"
        )
# cookie伪装
        # request.cookies["name"] = "value"
        # 如果更换ip地址,使用代理:
        # request.meta['proxy'] = 'https://ip:端口'

        print(request)
        return None

    # 得到响应执行的方法
    #
    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

    # 处理异常执行的方法
    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

    def spider_opened(self, spider):
        spider.logger.info("Spider opened: %s" % spider.name)

为什么要用中间件的原因：

网页是需要滚动加载数据的，所以借助自动化工具去拿到所有的页面数据，利用scrapy中 间件整合自动化工具.

# 网易新闻爬取四个板块数据

# 国内 国际 军事 航空 因为它们的页面结构一致，取值方式一致.

 四个版块的数据 通过访问url 只能拿到50条数据 其中有一个版块需要手动点击 加载更多才可以继续把数据加载完整 其它的几个版块几乎都是一直滚动滚动条，直到数据完全加载为止

解决问题？--> 滚动条的操作 requests scrapy也没有，只有自动化技术才可以实现滚动滚动条 怎么样才可以scrapy结合自动化技术呢？

使用自动化技术 加载所有数据 !

---

wyxw.py 

爬虫文件

import scrapy

"""

新闻页面的数据是通过滚动翻页加载
如果要获取所有的数据：
解决办法：
    传统的方式：通过网络面板看分页加载的请求是什么
    自动化工具的方式：让自动化工具实现鼠标滚动

"""


class WyxwSpider(scrapy.Spider):
    name = "wyxw"
    # allowed_domains = ["wyxw.com"]
    start_urls = ["https://news.163.com/"]
    count = 0

    def parse(self, response):
        #  解析四个版块的url
        lis = response.xpath('//div[@class="ns_area list"]/ul/li')
        # 获取四个版块的li
        # lis[1:3] lis[1] lis[2]
        # lis[4:6] lis[4] lis[5]
        target_li = lis[1:3] + lis[4:6]
        # print(target_li)
        # 循环li 拿到每一个，li的a标签的hraf属性值 再发起请求
        for li in target_li:
            href = li.xpath("./a/@href").get()
            # 发起请求
            yield scrapy.Request(url=href, callback=self.news_parse)

    # 解析每个版块的数据
    # HtmlResponse（元素） 还是 scrapy的response？是自己返回的HtmlResponse,所以要以元素面板为主
    # 因为数据是通过自动化工具获取到的,自动化获取的数据都是元素面板数据
    def news_parse(self, response):
        divs = response.xpath('//div[@class="ndi_main"]/div')  # 从元素面板看的
        # divs = response.xpath('//div[@class="hidden"]/div')  # 从响应内容看的
        for div in divs:
            self.count += 1
            title = div.xpath(".//h3/a/text()").get()  # 从元素面板看的
            # title = div.xpath('./a/text()').get()  # 从响应内容看的
            print(title, self.count)

---

完整的middlewares.py

process_request 函数里面 伪装请求.

process_response 函数里面 拦截请求,返回我们想要的数据.

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

# useful for handling different item types with a single interface
from itemadapter import is_item, ItemAdapter
from DrissionPage._pages.chromium_page import ChromiumPage
from scrapy.http import HtmlResponse


class Scrapy4SpiderMiddleware:
    # 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.

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

    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.
        return None

    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, or item objects.
        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 Request or item objects.
        pass

    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).
        for r in start_requests:
            yield r

    def spider_opened(self, spider):
        spider.logger.info("Spider opened: %s" % spider.name)


class Scrapy4DownloaderMiddleware:
    # Not all methods need to be defined. If a method is not defined,
    # scrapy acts as if the downloader middleware does not modify the
    # passed objects.

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

    # 发起请求执行的方法
    def process_request(self, request, spider):
        c_dict = {'cookiesu': '291715258858774', ' device_id': '2bad6b34106f8be1d2762204c306aa5b',
         ' smidV2': '20240509204738adc267d3b66fca8adf0d37b8ac9a1e8800dbcffc52451ef70', ' s': 'ak145lfb3s',
         ' __utma': '1.1012417897.1720177183.1720177183.1720435739.2',
         ' __utmz': '1.1720435739.2.2.utmcsr=baidu|utmccn=(organic)|utmcmd=organic',
         ' acw_tc': '2760827c17230343015564537e9504eebc062a87e8d3ba4425778641e1164e',
         ' xq_a_token': 'fb0f503ef881090db449e976c330f1f2d626c371', ' xqat': 'fb0f503ef881090db449e976c330f1f2d626c371',
         ' xq_r_token': '967c806e113fbcb1e314d5ef2dc20f1dd8e66be3',
         ' xq_id_token': 'eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJ1aWQiOi0xLCJpc3MiOiJ1YyIsImV4cCI6MTcyNTMyNDc3NSwiY3RtIjoxNzIzMDM0MzAxODI4LCJjaWQiOiJkOWQwbjRBWnVwIn0.I0pylYRqjdDOE0QbAuLFr5rUCFG1Sj13kTEHAdap2fEse0i12LG7a-14rhvQKsK9G0F7VZSWDYBsI82mqHimsBbWvgefkOy-g8V_nhb-ntGBubbVHlfjv7y-3GDatzcZPfgYvu7m0wEu77PcWdKqJR-KwZsZjQVwaKiHcFuvFUmpfYN942D6YY2MIzgWJxSQCX_t4f1YujRJRsKLvrq9QbVIqvJu-SpPT1SJfSPT9e7h_ERkU0QOsmgARJVfivkAAFM2cyb7HKJsHQSqVSU6hcIq4CMs5r90IsrZ4fOL5cUqaGNT58qkjx-flta27QhCIeHxexi1K95TKZTcD8EygA',
         ' u': '291715258858774',
         ' Hm_lvt_1db88642e346389874251b5a1eded6e3': '1722350318,1722863131,1722925588,1723034326',
         ' Hm_lpvt_1db88642e346389874251b5a1eded6e3': '1723034326', ' HMACCOUNT': '13108745FF137EDD',
         ' .thumbcache_f24b8bbe5a5934237bbc0eda20c1b6e7': 'YEsBB9JFA5Q4gQHJIe1Lx6JjvpZzcuUljYTfjFKm3lmCSpRZMpoNmnSBV0UptK3ripTe4xifyqRUZO/LEPx6Iw%3D%3D',
         ' ssxmod_itna': 'WqIx9DgD0jD==0dGQDHWWoeeqBKorhBoC7ik8qGN6xYDZDiqAPGhDC4bUxD5poPoqWW3pi4kiYr23PZF2E2GaeBm8EXTDU4i8DCwiK=ODem=D5xGoDPxDeDAQKiTDY4DdjpNv=DEDeKDRDAQDzLdyDGfBDYP9QqDgSqDBGOdDKqGgzTxD0TxNaiqq8GKKvkd5qjbDAwGgniq9D0UdxBLxAax9+j9kaBUg8ZaPT2jx5eGuDG6DOqGmSfb3zdNPvAhWmY4sm75Ymbq4n75e8YervGPrPuDNh0wKY7DoBGp=GDLMxDfT0bD',
         ' ssxmod_itna2': 'WqIx9DgD0jD==0dGQDHWWoeeqBKorhBoC7ik4A=W=e4D/D0hq7P7phOF4WG2WCxjKD2WYD=='}
        if spider.name == 'xueqiu':
        # ua  Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:128.0) Gecko/20100101 Firefox/128.0
            request.headers['referer'] = 'https://xueqiu.com/'
            request.headers['User-Agent'] = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:128.0) Gecko/20100101 Firefox/128.0'
        # 失效 request.headers['cookie'] = 'cookiesu=291715258858774; device_id=2bad6b34106f8be1d2762204c306aa5b; smidV2=20240509204738adc267d3b66fca8adf0d37b8ac9a1e8800dbcffc52451ef70; s=ak145lfb3s; __utma=1.1012417897.1720177183.1720177183.1720435739.2; __utmz=1.1720435739.2.2.utmcsr=baidu|utmccn=(organic)|utmcmd=organic; acw_tc=276077b217228631300332345e2956486032bd992e9f60b5689d9b248c1491; xq_a_token=fb0f503ef881090db449e976c330f1f2d626c371; xq_r_token=967c806e113fbcb1e314d5ef2dc20f1dd8e66be3; xq_id_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJ1aWQiOi0xLCJpc3MiOiJ1YyIsImV4cCI6MTcyNTMyNDc3NSwiY3RtIjoxNzIyODYzMDg5MDIwLCJjaWQiOiJkOWQwbjRBWnVwIn0.AdH2II1N2kGggG7ZgmP8MOgNPdxMoewCSK-gyWYBkw7zFExn6gaYV6YU8ReNkp2F5CBohxjZYyVyLtn98MJfk9dDwIe8ypTgXLkI_a5R1O1og5Fy6BeFv6FUJqgp8EVt8EvHBOYfRNl9iGtgrO3V_R0fJXq1aJTpV8lopNwEAzQbHRK58uXcbaoOwkUcX8MOv6XR-eGqnHYRSJ35P769atb6vF05LqutQphcairWpGGgWJc9fMhVBym_GkOxy4_AWaURWf8Zpge7dJQszkCo-ljPbBP94vz3zM_PTnussZV3jeTRmacaJcHTee6mlE00hrtrAFZNf7UIjnpqbdzvjw; u=291715258858774; Hm_lvt_1db88642e346389874251b5a1eded6e3=1720435739,1722235054,1722350318,1722863131; HMACCOUNT=13108745FF137EDD; Hm_lpvt_1db88642e346389874251b5a1eded6e3=1722863143; .thumbcache_f24b8bbe5a5934237bbc0eda20c1b6e7=ha9Q037kb9An+HmEECE3+OwwxbDqAMnKP2QzosxWbRaWA89HDsKTwe/0XwLZXhS9S5OvxrWGFu6LMFW2iVI9xw%3D%3D; ssxmod_itna=QqmxgD0Cq4ciDXYDHiuYYK0=e4D5Dk3DA2LOni44qGNjKYDZDiqAPGhDC4fUerbrq5=7oC03qeiB4hvpkKrmDKijF/qqeDHxY=DUa7aeDxpq0rD74irDDxD3wxneD+D04kguOqi3DhxGQD3qGylR=DA3tDbh=uDiU/DDUOB4G2D7UyiDDli0TeA8mk7CtUCQ03xGUxIqqQ7qDMUeGX87Fe7db86PhMIwaHamPuKCiDtqD94m=DbRL3vB6lWW+r7hGrGBvNGGYQKDqNQ7eeKDmjvfhu2GDile4tKOG5nBpan/zeDDfj0bD===; ssxmod_itna2=QqmxgD0Cq4ciDXYDHiuYYK0=e4D5Dk3DA2LOni4A=c==D/QKDFxnAO9aP7QmHGcDYK4xD==='
        #     request.cookies['键'] = '值'
        #     request.cookies['cookiesu'] = '291715258858774'
            for key,value in c_dict.items():
                request.cookies[key] = value
        # print(request)
        # 如果更换ip地址，使用代理
        # request.meta['proxy'] = 'https://ip:端口'


        return None

    # 得到响应执行的方法
    # 结合自动化工具
    def process_response(self, request, response, spider):
        # url必须是四个版块的其中一个
        if spider.name == 'wyxw':
            url = request.url
            # url = 'https://news.163.com/domestic/'
            dp = ChromiumPage()
            dp.get(url)
            # 滚动到页面底部 一次性不能完成
            while True:
                is_block = dp.ele('.load_more_tip').attr('style')
                if is_block == 'display: block;':
                    #     已经到最后了
                    break
                dp.scroll.to_bottom()
                #     国内页面需要额外手动点击
                try:
                    # 只有一个页面能够点击加载更多，加入异常处理，如果出现了异常，进行下一次循环
                    click_tag = dp.ele('text:加载更多')
                    click_tag.click()
                except:
                    continue
        #     创建响应对象，把自动化工具得到的html数据放入到对象中
        # 返回给引擎，由引擎交给spider
        #     HtmlResponse响应对象
            '''
           class HtmlResponse:
                def __init__(self,request,url,body):
             HtmlResponse(url=url,request=request,body=dp.html)   
            '''
            return HtmlResponse(url=url,request=request,body=dp.html,encoding='utf-8')
        return response

    # 遇到异常执行的方法
    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

    def spider_opened(self, spider):
        spider.logger.info("Spider opened: %s" % spider.name)

---