1.背景
- 我们在爬取网页时一般会使用到三个爬虫库:requests,scrapy,selenium。requests一般用于小型爬虫,scrapy用于构建大的爬虫项目,而selenium主要用来应付负责的页面(复杂js渲染的页面,请求非常难构造,或者构造方式经常变化)。
- 在我们面对大型爬虫项目时,肯定会优选scrapy框架来开发,但是在解析复杂JS渲染的页面时,又很麻烦。 尽管使用selenium浏览器渲染来抓取这样的页面很方便,这种方式下,我们不需要关心页面后台发生了怎样的请求,也不需要分析整个页面的渲染过程,我们只需要关心页面最终结果即可,可见即可爬,但是selenium的效率又太低。
- 所以,如果可以在scrapy中,集成selenium,让selenium负责复杂页面的爬取,那么这样的爬虫就无敌了,可以爬取任何网站了。
2. 环境
- python 3.6.1
- 系统:win7
- IDE:pycharm
- 安装过chrome浏览器
- 配置好chromedriver(设置好环境变量)
- selenium 3.7.0
- scrapy 1.4.0
3.原理分析
3.1. 分析request请求的流程
首先看一下scrapy最新的架构图:
部分流程:
第一:爬虫引擎生成requests请求,送往scheduler调度模块,进入等待队列,等待调度。
第二:scheduler模块开始调度这些requests,出队,发往爬虫引擎。
第三:爬虫引擎将这些requests送到下载中间件(多个,例如加header,代理,自定义等等)进行处理。
第四:处理完之后,送往Downloader模块进行下载。从这个处理过程来看,突破口就在下载中间件部分,用selenium直接处理掉request请求。
3.2. requests和response中间处理件源码分析
相关代码位置:
源码解析:
# 文件:E:\Miniconda\Lib\site-packages\scrapy\core\downloader\middleware.py """ Downloader Middleware manager See documentation in docs/topics/downloader-middleware.rst """ import six from twisted.internet import defer from scrapy.http import Request, Response from scrapy.middleware import MiddlewareManager from scrapy.utils.defer import mustbe_deferred from scrapy.utils.conf import build_component_list class DownloaderMiddlewareManager(MiddlewareManager): component_name = 'downloader middleware' @classmethod def _get_mwlist_from_settings(cls, settings): # 从settings.py或这custom_setting中拿到自定义的Middleware中间件 ''' 'DOWNLOADER_MIDDLEWARES': { 'mySpider.middlewares.ProxiesMiddleware': 400, # SeleniumMiddleware 'mySpider.middlewares.SeleniumMiddleware': 543, 'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware': None, }, ''' return build_component_list( settings.getwithbase('DOWNLOADER_MIDDLEWARES')) # 将所有自定义Middleware中间件的处理函数添加到对应的methods列表中 def _add_middleware(self, mw): if hasattr(mw, 'process_request'): self.methods['process_request'].append(mw.process_request) if hasattr(mw, 'process_response'): self.methods['process_response'].insert(0, mw.process_response) if hasattr(mw, 'process_exception'): self.methods['process_exception'].insert(0, mw.process_exception) # 整个下载流程 def download(self, download_func, request, spider): @defer.inlineCallbacks def process_request(request): # 处理request请求,依次经过各个自定义Middleware中间件的process_request方法,前面有加入到list中 for method in self.methods['process_request']: response = yield method(request=request, spider=spider) assert response is None or isinstance(response, (Response, Request)), 'Middleware %s.process_request must return None, Response or Request, got %s' % (six.get_method_self(method).__class__.__name__, response.__class__.__name__) # 这是关键地方 # 如果在某个Middleware中间件的process_request中处理完之后,生成了一个response对象 # 那么会直接将这个response return 出去,跳出循环,不再处理其他的process_request # 之前我们的header,proxy中间件,都只是加个user-agent,加个proxy,并不做任何return值 # 还需要注意一点:就是这个return的必须是Response对象 # 后面我们构造的HtmlResponse正是Response的子类对象 if response: defer.returnValue(response) # 如果在上面的所有process_request中,都没有返回任何Response对象的话 # 最后,会将这个加工过的Request送往download_func,进行下载,返回的就是一个Response对象 # 然后依次经过各个Middleware中间件的process_response方法进行加工,如下 defer.returnValue((yield download_func(request=request,spider=spider))) @defer.inlineCallbacks def process_response(response): assert response is not None, 'Received None in process_response' if isinstance(response, Request): defer.returnValue(response) for method in self.methods['process_response']: response = yield method(request=request, response=response, spider=spider) assert isinstance(response, (Response, Request)), 'Middleware %s.process_response must return Response or Request, got %s' % (six.get_method_self(method).__class__.__name__, type(response)) if isinstance(response, Request): defer.returnValue(response) defer.returnValue(response) @defer.inlineCallbacks def process_exception(_failure): exception = _failure.value for method in self.methods['process_exception']: response = yield method(request=request, exception=exception, spider=spider) assert response is None or isinstance(response, (Response, Request)), 'Middleware %s.process_exception must return None, Response or Request, got %s' % (six.get_method_self(method).__class__.__name__, type(response)) if response: defer.returnValue(response) defer.returnValue(_failure) deferred = mustbe_deferred(process_request, request) deferred.addErrback(process_exception) deferred.addCallback(process_response) return deferred
4. 代码
在settings.py中,配置好selenium参数:
# 文件settings.py中 # ----------- selenium参数配置 ------------- SELENIUM_TIMEOUT = 25 # selenium浏览器的超时时间,单位秒 LOAD_IMAGE = True # 是否下载图片 WINDOW_HEIGHT = 900 # 浏览器窗口大小 WINDOW_WIDTH = 900
在spider中,生成request时,标记哪些请求需要走selenium下载:
# 文件mySpider.py中 class mySpider(CrawlSpider): name = "mySpiderAmazon" allowed_domains = ['amazon.com'] custom_settings = { 'LOG_LEVEL':'INFO', 'DOWNLOAD_DELAY': 0, 'COOKIES_ENABLED': False, # enabled by default 'DOWNLOADER_MIDDLEWARES': { # 代理中间件 'mySpider.middlewares.ProxiesMiddleware': 400, # SeleniumMiddleware 中间件 'mySpider.middlewares.SeleniumMiddleware': 543, # 将scrapy默认的user-agent中间件关闭 'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware': None, }, #.....................华丽的分割线....................... # 生成request时,将是否使用selenium下载的标记,放入到meta中 yield Request( url = "https://www.amazon.com/", meta = {'usedSelenium': True, 'dont_redirect': True}, callback = self.parseIndexPage, errback = self.error )
在下载中间件middlewares.py中,使用selenium抓取页面(核心部分)
# -*- coding: utf-8 -*- from selenium import webdriver from selenium.common.exceptions import TimeoutException from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.common.keys import Keys from scrapy.http import HtmlResponse from logging import getLogger import time class SeleniumMiddleware(): # 经常需要在pipeline或者中间件中获取settings的属性,可以通过scrapy.crawler.Crawler.settings属性 @classmethod def from_crawler(cls, crawler): # 从settings.py中,提取selenium设置参数,初始化类 return cls(timeout=crawler.settings.get('SELENIUM_TIMEOUT'), isLoadImage=crawler.settings.get('LOAD_IMAGE'), windowHeight=crawler.settings.get('WINDOW_HEIGHT'), windowWidth=crawler.settings.get('WINDOW_WIDTH') ) def __init__(self, timeout=30, isLoadImage=True, windowHeight=None, windowWidth=None): self.logger = getLogger(__name__) self.timeout = timeout self.isLoadImage = isLoadImage # 定义一个属于这个类的browser,防止每次请求页面时,都会打开一个新的chrome浏览器 # 这样,这个类处理的Request都可以只用这一个browser self.browser = webdriver.Chrome() if windowHeight and windowWidth: self.browser.set_window_size(900, 900) self.browser.set_page_load_timeout(self.timeout) # 页面加载超时时间 self.wait = WebDriverWait(self.browser, 25) # 指定元素加载超时时间 def process_request(self, request, spider): ''' 用chrome抓取页面 :param request: Request请求对象 :param spider: Spider对象 :return: HtmlResponse响应 ''' # self.logger.debug('chrome is getting page') print(f"chrome is getting page") # 依靠meta中的标记,来决定是否需要使用selenium来爬取 usedSelenium = request.meta.get('usedSelenium', False) if usedSelenium: try: self.browser.get(request.url) # 搜索框是否出现 input = self.wait.until( EC.presence_of_element_located((By.XPATH, "//div[@class='nav-search-field ']/input")) ) time.sleep(2) input.clear() input.send_keys("iphone 7s") # 敲enter键, 进行搜索 input.send_keys(Keys.RETURN) # 查看搜索结果是否出现 searchRes = self.wait.until( EC.presence_of_element_located((By.XPATH, "//div[@id='resultsCol']")) ) except Exception as e: # self.logger.debug(f'chrome getting page error, Exception = {e}') print(f"chrome getting page error, Exception = {e}") return HtmlResponse(url=request.url, status=500, request=request) else: time.sleep(3) return HtmlResponse(url=request.url, body=self.browser.page_source, request=request, # 最好根据网页的具体编码而定 encoding='utf-8', status=200)
5. 执行结果
6. 存在的问题
6.1. Spider关闭了,chrome没有退出。
2018-04-04 09:26:18 [scrapy.statscollectors] INFO: Dumping Scrapy stats:
{'downloader/response_bytes': 2092766,
'downloader/response_count': 2,
'downloader/response_status_count/200': 2,
'finish_reason': 'finished',
'finish_time': datetime.datetime(2018, 4, 4, 1, 26, 16, 763602),
'log_count/INFO': 7,
'request_depth_max': 1,
'response_received_count': 2,
'scheduler/dequeued': 2,
'scheduler/dequeued/memory': 2,
'scheduler/enqueued': 2,
'scheduler/enqueued/memory': 2,
'start_time': datetime.datetime(2018, 4, 4, 1, 25, 48, 301602)}
2018-04-04 09:26:18 [scrapy.core.engine] INFO: Spider closed (finished)
上面,我们是把browser对象放到了Middleware中间件中,只能做process_request和process_response, 没有说在中间件中介绍如何调用scrapy的close方法。
解决方案:利用信号量的方式,当收到spider_closed信号时,调用browser.quit()
6.2. 当一个项目同时启动多个spider,会共用到Middleware中的selenium,不利于并发。
因为用scrapy + selenium的方式,只有部分,甚至是一小部分页面会用到chrome,既然把chrome放到Middleware中有这么多限制,那为什么不能把chrome放到spider里面呢。这样的好处在于:每个spider都有自己的chrome,这样当启动多个spider时,就会有多个chrome,不是所有的spider共用一个chrome,这对我们的并发是有好处的。
解决方案:将chrome的初始化放到spider中,每个spider独占自己的chrome
7. 改进版代码
在settings.py中,配置好selenium参数:
# 文件settings.py中 # ----------- selenium参数配置 ------------- SELENIUM_TIMEOUT = 25 # selenium浏览器的超时时间,单位秒 LOAD_IMAGE = True # 是否下载图片 WINDOW_HEIGHT = 900 # 浏览器窗口大小 WINDOW_WIDTH = 900
在spider中,生成request时,标记哪些请求需要走selenium下载:
# 文件mySpider.py中 # selenium相关库 from selenium import webdriver from selenium.webdriver.support.ui import WebDriverWait # scrapy 信号相关库 from scrapy.utils.project import get_project_settings # 下面这种方式,即将废弃,所以不用 # from scrapy.xlib.pydispatch import dispatcher from scrapy import signals # scrapy最新采用的方案 from pydispatch import dispatcher class mySpider(CrawlSpider): name = "mySpiderAmazon" allowed_domains = ['amazon.com'] custom_settings = { 'LOG_LEVEL':'INFO', 'DOWNLOAD_DELAY': 0, 'COOKIES_ENABLED': False, # enabled by default 'DOWNLOADER_MIDDLEWARES': { # 代理中间件 'mySpider.middlewares.ProxiesMiddleware': 400, # SeleniumMiddleware 中间件 'mySpider.middlewares.SeleniumMiddleware': 543, # 将scrapy默认的user-agent中间件关闭 'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware': None, }, # 将chrome初始化放到spider中,成为spider中的元素 def __init__(self, timeout=30, isLoadImage=True, windowHeight=None, windowWidth=None): # 从settings.py中获取设置参数 self.mySetting = get_project_settings() self.timeout = self.mySetting['SELENIUM_TIMEOUT'] self.isLoadImage = self.mySetting['LOAD_IMAGE'] self.windowHeight = self.mySetting['WINDOW_HEIGHT'] self.windowWidth = self.mySetting['windowWidth'] # 初始化chrome对象 self.browser = webdriver.Chrome() if self.windowHeight and self.windowWidth: self.browser.set_window_size(900, 900) self.browser.set_page_load_timeout(self.timeout) # 页面加载超时时间 self.wait = WebDriverWait(self.browser, 25) # 指定元素加载超时时间 super(mySpider, self).__init__() # 设置信号量,当收到spider_closed信号时,调用mySpiderCloseHandle方法,关闭chrome dispatcher.connect(receiver = self.mySpiderCloseHandle, signal = signals.spider_closed ) # 信号量处理函数:关闭chrome浏览器 def mySpiderCloseHandle(self, spider): print(f"mySpiderCloseHandle: enter ") self.browser.quit() #.....................华丽的分割线....................... # 生成request时,将是否使用selenium下载的标记,放入到meta中 yield Request( url = "https://www.amazon.com/", meta = {'usedSelenium': True, 'dont_redirect': True}, callback = self.parseIndexPage, errback = self.error )
在下载中间件middlewares.py中,使用selenium抓取页面
# -*- coding: utf-8 -*- from selenium import webdriver from selenium.common.exceptions import TimeoutException from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.common.keys import Keys from scrapy.http import HtmlResponse from logging import getLogger import time class SeleniumMiddleware(): # Middleware中会传递进来一个spider,这就是我们的spider对象,从中可以获取__init__时的chrome相关元素 def process_request(self, request, spider): ''' 用chrome抓取页面 :param request: Request请求对象 :param spider: Spider对象 :return: HtmlResponse响应 ''' print(f"chrome is getting page") # 依靠meta中的标记,来决定是否需要使用selenium来爬取 usedSelenium = request.meta.get('usedSelenium', False) if usedSelenium: try: spider.browser.get(request.url) # 搜索框是否出现 input = spider.wait.until( EC.presence_of_element_located((By.XPATH, "//div[@class='nav-search-field ']/input")) ) time.sleep(2) input.clear() input.send_keys("iphone 7s") # 敲enter键, 进行搜索 input.send_keys(Keys.RETURN) # 查看搜索结果是否出现 searchRes = spider.wait.until( EC.presence_of_element_located((By.XPATH, "//div[@id='resultsCol']")) ) except Exception as e: print(f"chrome getting page error, Exception = {e}") return HtmlResponse(url=request.url, status=500, request=request) else: time.sleep(3) # 页面爬取成功,构造一个成功的Response对象(HtmlResponse是它的子类) return HtmlResponse(url=request.url, body=spider.browser.page_source, request=request, # 最好根据网页的具体编码而定 encoding='utf-8', status=200)
运行结果(spider结束,执行mySpiderCloseHandle关闭chrome浏览器):
['categorySelectorAmazon1.pipelines.MongoPipeline']
2018-04-04 11:56:21 [scrapy.core.engine] INFO: Spider opened
2018-04-04 11:56:21 [scrapy.extensions.logstats] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)
chrome is getting page
parseProductDetail url = https://www.amazon.com/, status = 200, meta = {'usedSelenium': True, 'dont_redirect': True, 'download_timeout': 25.0, 'proxy': 'http://H37XPSB6V57VU96D:CAB31DAEB9313CE5@proxy.abuyun.com:9020', 'depth': 0}
chrome is getting page
2018-04-04 11:56:54 [scrapy.core.engine] INFO: Closing spider (finished)
mySpiderCloseHandle: enter
2018-04-04 11:56:59 [scrapy.statscollectors] INFO: Dumping Scrapy stats:
{'downloader/response_bytes': 1938619,
'downloader/response_count': 2,
'downloader/response_status_count/200': 2,
'finish_reason': 'finished',
'finish_time': datetime.datetime(2018, 4, 4, 3, 56, 54, 301602),
'log_count/INFO': 7,
'request_depth_max': 1,
'response_received_count': 2,
'scheduler/dequeued': 2,
'scheduler/dequeued/memory': 2,
'scheduler/enqueued': 2,
'scheduler/enqueued/memory': 2,
'start_time': datetime.datetime(2018, 4, 4, 3, 56, 21, 642602)}
2018-04-04 11:56:59 [scrapy.core.engine] INFO: Spider closed (finished)
免责声明:本站资源来自互联网收集,仅供用于学习和交流,请遵循相关法律法规,本站一切资源不代表本站立场,如有侵权、后门、不妥请联系本站删除!
更新日志
- 小骆驼-《草原狼2(蓝光CD)》[原抓WAV+CUE]
- 群星《欢迎来到我身边 电影原声专辑》[320K/MP3][105.02MB]
- 群星《欢迎来到我身边 电影原声专辑》[FLAC/分轨][480.9MB]
- 雷婷《梦里蓝天HQⅡ》 2023头版限量编号低速原抓[WAV+CUE][463M]
- 群星《2024好听新歌42》AI调整音效【WAV分轨】
- 王思雨-《思念陪着鸿雁飞》WAV
- 王思雨《喜马拉雅HQ》头版限量编号[WAV+CUE]
- 李健《无时无刻》[WAV+CUE][590M]
- 陈奕迅《酝酿》[WAV分轨][502M]
- 卓依婷《化蝶》2CD[WAV+CUE][1.1G]
- 群星《吉他王(黑胶CD)》[WAV+CUE]
- 齐秦《穿乐(穿越)》[WAV+CUE]
- 发烧珍品《数位CD音响测试-动向效果(九)》【WAV+CUE】
- 邝美云《邝美云精装歌集》[DSF][1.6G]
- 吕方《爱一回伤一回》[WAV+CUE][454M]