scrapy-splash簡單使用詳解

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1.scrapy_splash是scrapy的一個組件

scrapy_splash加載js數據基於Splash來實現的

Splash是一個Javascrapy渲染服務，它是一個實現HTTP API的輕量級瀏覽器，Splash是用Python和Lua語言實現的，基於Twisted和QT等模塊構建

使用scrapy-splash最終拿到的response相當於是在瀏覽器全部渲染完成以後的網頁源代碼

2.scrapy_splash的作用

scrpay_splash能夠模擬瀏覽器加載js，並返回js運行後的數據

3.scrapy_splash的環境安裝

3.1 使用splash的docker鏡像

docker info 查看docker信息

docker images  查看所有鏡像

docker pull scrapinghub/splash  安裝scrapinghub/splash

docker run -p 8050:8050 scrapinghub/splash &  指定8050端口運行

3.2.pip install scrapy-splash

3.3.scrapy 配置: 

  SPLASH_URL = 'http://localhost:8050'
  DOWNLOADER_MIDDLEWARES = {
    'scrapy_splash.SplashCookiesMiddleware': 723,
    'scrapy_splash.SplashMiddleware': 725,
    'scrapy.downloadermiddlewares.httpcompression.HttpCompressionMiddleware': 810,
  }
  SPIDER_MIDDLEWARES = {
    'scrapy_splash.SplashDeduplicateArgsMiddleware': 100,
  }
  DUPEFILTER_CLASS = 'scrapy_splash.SplashAwareDupeFilter'
  HTTPCACHE_STORAGE = 'scrapy_splash.SplashAwareFSCacheStorage'

3.4.scrapy 使用 

from scrapy_splash import SplashRequest
yield SplashRequest(self.start_urls[0], callback=self.parse, args={'wait': 0.5})

4.測試代碼：

import datetime
import os
 
import scrapy
from scrapy_splash import SplashRequest
 
from ..settings import LOG_DIR
 
 
class SplashSpider(scrapy.Spider):
  name = 'splash'
  allowed_domains = ['biqugedu.com']
  start_urls = ['http://www.biqugedu.com/0_25/']
 
  custom_settings = {
    'LOG_FILE': os.path.join(LOG_DIR, '%s_%s.log' % (name, datetime.date.today().strftime('%Y-%m-%d'))),
    'LOG_LEVEL': 'INFO',
    'CONCURRENT_REQUESTS': 8,
    'AUTOTHROTTLE_ENABLED': True,
    'AUTOTHROTTLE_TARGET_CONCURRENCY': 8,
 
    'SPLASH_URL': 'http://localhost:8050',
    'DOWNLOADER_MIDDLEWARES': {
      'scrapy_splash.SplashCookiesMiddleware': 723,
      'scrapy_splash.SplashMiddleware': 725,
      'scrapy.downloadermiddlewares.httpcompression.HttpCompressionMiddleware': 810,
    },
    'SPIDER_MIDDLEWARES': {
      'scrapy_splash.SplashDeduplicateArgsMiddleware': 100,
    },
    'DUPEFILTER_CLASS': 'scrapy_splash.SplashAwareDupeFilter',
    'HTTPCACHE_STORAGE': 'scrapy_splash.SplashAwareFSCacheStorage',
 
  }
 
  def start_requests(self):
    yield SplashRequest(self.start_urls[0], callback=self.parse, args={'wait': 0.5})
 
  def parse(self, response):
    """
    :param response:
    :return:
    """
    response_str = response.body.decode('utf-8', 'ignore')
    self.logger.info(response_str)
    self.logger.info(response_str.find('http://www.biqugedu.com/files/article/image/0/25/25s.jpg'))

scrapy-splash接收到js請求：

到此這篇關於scrapy-splash簡單使用詳解的文章就介紹到這瞭,更多相關scrapy-splash 使用內容請搜索WalkonNet以前的文章或繼續瀏覽下面的相關文章希望大傢以後多多支持WalkonNet！

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