- ubuntu12.04环境下使用kvm ioctl接口实现最简单的虚拟机
- Ubuntu 通过无线网络安装Ubuntu Server启动系统后连接无线网络的方法
- 在Ubuntu上搭建网桥的方法
- ubuntu 虚拟机上网方式及相关配置详解
CFSDN坚持开源创造价值,我们致力于搭建一个资源共享平台,让每一个IT人在这里找到属于你的精彩世界.
这篇CFSDN的博客文章Python 通过xpath属性爬取豆瓣热映的电影信息由作者收集整理,如果你对这篇文章有兴趣,记得点赞哟.
声明一下:本文主要是研究使用,没有别的用途.
GitHub仓库地址:github项目仓库 。
主要爬取页面为:https://movie.douban.com/cinema/nowplaying/nanjing/ 。
至于后面的地区,可以按照自己的需要改一下,不过多赘述了。页面需要点击一下展开全部影片,才能显示全部内容,不然只有15部。所以我们使用selenium的时候,需要加一个打开页面后的点击逻辑。页面图如下:
通过F12展开的源码,用xpath helper工具验证一下右键复制下来的xpath路径.
为了避免布局调整导致找不到,我把xpath改为通过class名获取.
然后看看每个影片的信息.
分析一下,是不是可以通过nowplaying的div,作为根节点,然后获取下面class为list-item的节点,里面的属性就是我们要的内容.
没什么问题,那么就按照这个思路开始创建项目编码吧.
。
创建一个较douban_playing的项目,使用scrapy命令.
scrapy startproject douban_playing 。
定义电影信息实体.
# Define here the models for your scraped items## See documentation in:# https://docs.scrapy.org/en/latest/topics/items.htmlimport scrapyclass DoubanPlayingItem(scrapy.Item): # define the fields for your item here like: # name = scrapy.Field() # 电影名 # 电影分数 score = scrapy.Field() # 电影发行年份 release = scrapy.Field() # 电影时长 duration = scrapy.Field() # 地区 region = scrapy.Field() # 电影导演 director = scrapy.Field() # 电影主演 actors = scrapy.Field()
主要是点击展开全部影片,需要加一段代码.
# Define here the models for your spider middleware## See documentation in:# https://docs.scrapy.org/en/latest/topics/spider-middleware.htmlimport timefrom scrapy import signals# useful for handling different item types with a single interfacefrom itemadapter import is_item, ItemAdapterfrom scrapy.http import HtmlResponsefrom selenium.common.exceptions import TimeoutExceptionclass DoubanPlayingSpiderMiddleware: # 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 DoubanPlayingDownloaderMiddleware: # 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 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 # return None try: spider.browser.get(request.url) spider.browser.maximize_window() time.sleep(2) spider.browser.find_element_by_xpath("//*[@id='nowplaying']/div[@class='more']").click() # ActionChains(spider.browser).click(searchButtonElement) time.sleep(5) return HtmlResponse(url=spider.browser.current_url, body=spider.browser.page_source, encoding="utf-8", request=request) except TimeoutException as e: print('超时异常:{}'.format(e)) spider.browser.execute_script('window.stop()') finally: spider.browser.close() 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 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)
按照属性名,我们取出所有的影片信息。注意取出属性的写法.
#!/user/bin/env python# coding=utf-8"""@project : douban_playing@author : huyi@file : douban_playing.py@ide : PyCharm@time : 2021-11-10 16:31:23"""import scrapyfrom selenium import webdriverfrom selenium.webdriver.chrome.options import Optionsfrom douban_playing.items import DoubanPlayingItemclass DoubanPlayingSpider(scrapy.Spider): name = 'dbp' # allowed_domains = ['blog.csdn.net'] start_urls = ['https://movie.douban.com/cinema/nowplaying/nanjing/'] nowplaying = "//*[@id='nowplaying']/div[@class='mod-bd']//*[@class='list-item']/@{}" properties = ['data-title', 'data-score', 'data-release', 'data-duration', 'data-region', 'data-director', 'data-actors'] def __init__(self): chrome_options = Options() chrome_options.add_argument('--headless') # 使用无头谷歌浏览器模式 chrome_options.add_argument('--disable-gpu') chrome_options.add_argument('--no-sandbox') self.browser = webdriver.Chrome(chrome_options=chrome_options, executable_path="E:\\chromedriver_win32\\chromedriver.exe") self.browser.set_page_load_timeout(30) def parse(self, response, **kwargs): titles = response.xpath(self.nowplaying.format(self.properties[0])).extract() scores = response.xpath(self.nowplaying.format(self.properties[1])).extract() releases = response.xpath(self.nowplaying.format(self.properties[2])).extract() durations = response.xpath(self.nowplaying.format(self.properties[3])).extract() regions = response.xpath(self.nowplaying.format(self.properties[4])).extract() directors = response.xpath(self.nowplaying.format(self.properties[5])).extract() actors = response.xpath(self.nowplaying.format(self.properties[6])).extract() for x in range(len(titles)): item = DoubanPlayingItem() item['title'] = titles[x] item['score'] = scores[x] item['release'] = releases[x] item['duration'] = durations[x] item['region'] = regions[x] item['director'] = directors[x] item['actors'] = actors[x] yield item
还是老样子,把取出的电影数据按照格式输出在文本中.
# Define your item pipelines here## Don't forget to add your pipeline to the ITEM_PIPELINES setting# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html# useful for handling different item types with a single interfacefrom itemadapter import ItemAdapterclass DoubanPlayingPipeline: def __init__(self): self.file = open('result.txt', 'w', encoding='utf-8') def process_item(self, item, spider): self.file.write( "电影:{}\t分数:{}\t发行年份:{}\t电影时长:{}\t地区:{}\t电影导演:{}\t电影主演:{}\n".format( item['title'], item['score'], item['release'], item['duration'], item['region'], item['director'], item['actors'])) return item def close_spider(self, spider): self.file.close()
都是一些常规的,放开几个默认配置就行.
# Scrapy settings for douban_playing project## For simplicity, this file contains only settings considered important or# commonly used. You can find more settings consulting the documentation:## https://docs.scrapy.org/en/latest/topics/settings.html# https://docs.scrapy.org/en/latest/topics/downloader-middleware.html# https://docs.scrapy.org/en/latest/topics/spider-middleware.htmlBOT_NAME = 'douban_playing'SPIDER_MODULES = ['douban_playing.spiders']NEWSPIDER_MODULE = 'douban_playing.spiders'# Crawl responsibly by identifying yourself (and your website) on the user-agent#USER_AGENT = 'douban_playing (+http://www.yourdomain.com)'USER_AGENT = 'Mozilla/5.0'# Obey robots.txt rulesROBOTSTXT_OBEY = False# Configure maximum concurrent requests performed by Scrapy (default: 16)#CONCURRENT_REQUESTS = 32# Configure a delay for requests for the same website (default: 0)# See https://docs.scrapy.org/en/latest/topics/settings.html#download-delay# See also autothrottle settings and docs#DOWNLOAD_DELAY = 3# The download delay setting will honor only one of:#CONCURRENT_REQUESTS_PER_DOMAIN = 16#CONCURRENT_REQUESTS_PER_IP = 16# Disable cookies (enabled by default)COOKIES_ENABLED = False# Disable Telnet Console (enabled by default)#TELNETCONSOLE_ENABLED = False# Override the default request headers:DEFAULT_REQUEST_HEADERS = { 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'Accept-Language': 'en', 'User-Agent': 'Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.94 Safari/537.36'}# Enable or disable spider middlewares# See https://docs.scrapy.org/en/latest/topics/spider-middleware.htmlSPIDER_MIDDLEWARES = { 'douban_playing.middlewares.DoubanPlayingSpiderMiddleware': 543,}# Enable or disable downloader middlewares# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.htmlDOWNLOADER_MIDDLEWARES = { 'douban_playing.middlewares.DoubanPlayingDownloaderMiddleware': 543,}# Enable or disable extensions# See https://docs.scrapy.org/en/latest/topics/extensions.html#EXTENSIONS = {# 'scrapy.extensions.telnet.TelnetConsole': None,#}# Configure item pipelines# See https://docs.scrapy.org/en/latest/topics/item-pipeline.htmlITEM_PIPELINES = { 'douban_playing.pipelines.DoubanPlayingPipeline': 300,}# Enable and configure the AutoThrottle extension (disabled by default)# See https://docs.scrapy.org/en/latest/topics/autothrottle.html#AUTOTHROTTLE_ENABLED = True# The initial download delay#AUTOTHROTTLE_START_DELAY = 5# The maximum download delay to be set in case of high latencies#AUTOTHROTTLE_MAX_DELAY = 60# The average number of requests Scrapy should be sending in parallel to# each remote server#AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0# Enable showing throttling stats for every response received:#AUTOTHROTTLE_DEBUG = False# Enable and configure HTTP caching (disabled by default)# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings#HTTPCACHE_ENABLED = True#HTTPCACHE_EXPIRATION_SECS = 0#HTTPCACHE_DIR = 'httpcache'#HTTPCACHE_IGNORE_HTTP_CODES = []#HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'
还是老样子,不直接使用scrapy命令,构造一个py执行cmd。注意该py的位置.
看一下执行后的结果.
完美!!! 。
。
最近都在写一些爬虫的案例,也是边学习边摸索,把一些实现过程记录一下,也分享一下,等过段时间还可以回忆回忆.
分享:
情之一字,不知所起,不知所栖,不知所结,不知所解,不知所踪,不知所终。 ――《雪中悍刀行》 。
如果本文对你有用的话,请不要吝啬你的赞,谢谢! 。
以上就是Python 通过xpath属性爬取豆瓣热映的电影信息的详细内容,更多关于Python 爬虫豆瓣的资料请关注我其它相关文章! 。
原文链接:https://huyi-aliang.blog.csdn.net/article/details/121254579 。
最后此篇关于Python 通过xpath属性爬取豆瓣热映的电影信息的文章就讲到这里了,如果你想了解更多关于Python 通过xpath属性爬取豆瓣热映的电影信息的内容请搜索CFSDN的文章或继续浏览相关文章,希望大家以后支持我的博客! 。
我正在处理一组标记为 160 个组的 173k 点。我想通过合并最接近的(到 9 或 10 个组)来减少组/集群的数量。我搜索过 sklearn 或类似的库,但没有成功。 我猜它只是通过 knn 聚类
我有一个扁平数字列表,这些数字逻辑上以 3 为一组,其中每个三元组是 (number, __ignored, flag[0 or 1]),例如: [7,56,1, 8,0,0, 2,0,0, 6,1,
我正在使用 pipenv 来管理我的包。我想编写一个 python 脚本来调用另一个使用不同虚拟环境(VE)的 python 脚本。 如何运行使用 VE1 的 python 脚本 1 并调用另一个 p
假设我有一个文件 script.py 位于 path = "foo/bar/script.py"。我正在寻找一种在 Python 中通过函数 execute_script() 从我的主要 Python
这听起来像是谜语或笑话,但实际上我还没有找到这个问题的答案。 问题到底是什么? 我想运行 2 个脚本。在第一个脚本中,我调用另一个脚本,但我希望它们继续并行,而不是在两个单独的线程中。主要是我不希望第
我有一个带有 python 2.5.5 的软件。我想发送一个命令,该命令将在 python 2.7.5 中启动一个脚本,然后继续执行该脚本。 我试过用 #!python2.7.5 和http://re
我在 python 命令行(使用 python 2.7)中,并尝试运行 Python 脚本。我的操作系统是 Windows 7。我已将我的目录设置为包含我所有脚本的文件夹,使用: os.chdir("
剧透:部分解决(见最后)。 以下是使用 Python 嵌入的代码示例: #include int main(int argc, char** argv) { Py_SetPythonHome
假设我有以下列表,对应于及时的股票价格: prices = [1, 3, 7, 10, 9, 8, 5, 3, 6, 8, 12, 9, 6, 10, 13, 8, 4, 11] 我想确定以下总体上最
所以我试图在选择某个单选按钮时更改此框架的背景。 我的框架位于一个类中,并且单选按钮的功能位于该类之外。 (这样我就可以在所有其他框架上调用它们。) 问题是每当我选择单选按钮时都会出现以下错误: co
我正在尝试将字符串与 python 中的正则表达式进行比较,如下所示, #!/usr/bin/env python3 import re str1 = "Expecting property name
考虑以下原型(prototype) Boost.Python 模块,该模块从单独的 C++ 头文件中引入类“D”。 /* file: a/b.cpp */ BOOST_PYTHON_MODULE(c)
如何编写一个程序来“识别函数调用的行号?” python 检查模块提供了定位行号的选项,但是, def di(): return inspect.currentframe().f_back.f_l
我已经使用 macports 安装了 Python 2.7,并且由于我的 $PATH 变量,这就是我输入 $ python 时得到的变量。然而,virtualenv 默认使用 Python 2.6,除
我只想问如何加快 python 上的 re.search 速度。 我有一个很长的字符串行,长度为 176861(即带有一些符号的字母数字字符),我使用此函数测试了该行以进行研究: def getExe
list1= [u'%app%%General%%Council%', u'%people%', u'%people%%Regional%%Council%%Mandate%', u'%ppp%%Ge
这个问题在这里已经有了答案: Is it Pythonic to use list comprehensions for just side effects? (7 个答案) 关闭 4 个月前。 告
我想用 Python 将两个列表组合成一个列表,方法如下: a = [1,1,1,2,2,2,3,3,3,3] b= ["Sun", "is", "bright", "June","and" ,"Ju
我正在运行带有最新 Boost 发行版 (1.55.0) 的 Mac OS X 10.8.4 (Darwin 12.4.0)。我正在按照说明 here构建包含在我的发行版中的教程 Boost-Pyth
学习 Python,我正在尝试制作一个没有任何第 3 方库的网络抓取工具,这样过程对我来说并没有简化,而且我知道我在做什么。我浏览了一些在线资源,但所有这些都让我对某些事情感到困惑。 html 看起来
我是一名优秀的程序员,十分优秀!