依赖库：

pip install scrapy-splash
  

 

  
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配置settings.py

# splash服务器地址
SPLASH_URL = 'http://localhost:8050'

# 支持cache_args(可选)
SPIDER_MIDDLEWARES = { 'scrapy_splash.SplashDeduplicateArgsMiddleware': 100,
}

# 下载中间件设置
DOWNLOADER_MIDDLEWARES = { 'scrapy_splash.SplashCookiesMiddleware': 723, 'scrapy_splash.SplashMiddleware': 725, 'scrapy.downloadermiddlewares.httpcompression.HttpCompressionMiddleware': 810
}

# 设置去重过滤器
DUPEFILTER_CLASS = 'scrapy_splash.SplashAwareDupeFilter'

# 启用缓存系统
HTTPCACHE_STORAGE = 'scrapy_splash.SplashAwareFSCacheStorage'
  

 

  
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代码示例

将原有Request 替换成 SplashRequest即可

# -*- coding: utf-8 -*-
import scrapy
from scrapy import cmdline
from scrapy_splash import SplashRequest


class ToscrapeJsSpider(scrapy.Spider): name = "toscrape_js" allowed_domains = ["toscrape.com"] start_urls = ( 'http://quotes.toscrape.com/js/', ) def start_requests(self): for url in self.start_urls: yield SplashRequest(url, args={"timeout": 5, "image": 0, 'wait': '5'}) def parse(self, response): quotes = response.css(".quote .text::text").extract() for quote in quotes: print(quote)


if __name__ == '__main__': cmdline.execute("scrapy crawl toscrape_js".split())

  

 

  
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SplashRequest参数说明
url: 待爬页面
headers: 与Request相同
cookies：与Request相同
args: {dict}传递给Splash的参数, wait很重要，需要给js足够的执行时间
cache_args: {list}让Splash缓存的参数
endpoint: Splash端点服务，默认render.html
splash_url: Splash服务器地址，默认为配置文件中的SPLASH_URL

设置代理：

args={ 'proxy': 'http://proxy_ip:proxy_port'
}
  

 

  
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参考：
using proxy with scrapy-splash

文章来源: pengshiyu.blog.csdn.net，作者：彭世瑜，版权归原作者所有，如需转载，请联系作者。

原文链接：pengshiyu.blog.csdn.net/article/details/81625830