首先我们先介绍下如何使用scrapy-splash:

1、安装：$ pip install scrapy-splash

2、启动docker：$ docker run -p 8050:8050 scrapinghub/splash

3、在setting.py文件中配置：

3.1、SPLASH_URL = 'http://192.168.59.103:8050'

3.2、 DOWNLOADER_MIDDLEWARES = {

                'scrapy_splash.SplashCookiesMiddleware': 723,

                 'scrapy_splash.SplashMiddleware': 725,

                'scrapy.downloadermiddlewares.httpcompression.HttpCompressionMiddleware': 810,

         } 

3.3、SPIDER_MIDDLEWARES = {

            'scrapy_splash.SplashDeduplicateArgsMiddleware': 100,

    }

3.4、DUPEFILTER_CLASS = 'scrapy_splash.SplashAwareDupeFilter'

3.5、HTTPCACHE_STORAGE = 'scrapy_splash.SplashAwareFSCacheStorage'

以上就已经配置好scrapy-splash了,接着就是我们如何来使用。

这里我们以京东某商品为例抓取:

spider.py

from scrapy.spiders import CrawlSpider, Spider
from scrapy_splash import SplashRequest

class TaoBaoSpider(CrawlSpider):
    name = 'taobao_spider'
    start_urls = ['https://item.jd.com/4736647.html?cpdad=1DLSUE']

    def start_requests(self):
        for url in self.start_urls:
            yield SplashRequest(url=url, callback=self.parse, args={'wait': '0.5'})

    def parse(self, response):
        pic = response.xpath('//span[@class="price J-p-4736647"]/text()').extract()[0]
        print pic

抓取到商品价格：

image.png

现在我们需要给我们的scrapy添加代理中间件

middlewares.py

  class ProxyMiddleware(object):
      def process_request(self, request, spider):
      request.meta['splash']['args']['proxy'] = proxyServer
      request.headers["Proxy-Authorization"] = proxyAuth

• 这里我们需要注意的是设置代理不再是request.meta['proxy'] = proxyServer而是request.meta['splash'] ['args']['proxy'] = proxyServer

接着我们把ProxyMiddleware添加到setting.py中

  DOWNLOADER_MIDDLEWARES = {
      'scrapy_splash.SplashCookiesMiddleware': 723,
      'scrapy_splash.SplashMiddleware': 725,
      'scrapy.downloadermiddlewares.httpcompression.HttpCompressionMiddleware': 810,
      'Spider.middlewares.ProxyMiddleware': 843,
  }

• 自定义的中间件的权重需要在scrapy-splash的后面才行。

这样就可以使用代理用scrapy-splash愉快的抓取数据了！