Python 爬虫豆瓣 Python 通过xpath属性爬取豆瓣热映的电影信息
剑客阿良_ALiang 人气:0想了解Python 通过xpath属性爬取豆瓣热映的电影信息的相关内容吗,剑客阿良_ALiang在本文为您仔细讲解Python 爬虫豆瓣的相关知识和一些Code实例,欢迎阅读和指正,我们先划重点:Python,爬虫豆瓣,Python,xpath属性,下面大家一起来学习吧。
前言
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
页面分析
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。
实现过程
创建项目
创建一个较douban_playing的项目,使用scrapy命令。
scrapy startproject douban_playing
Item定义
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.html import scrapy class DoubanPlayingItem(scrapy.Item): # define the fields for your item here like: # name = scrapy.Field() # 电影名 title = scrapy.Field() # 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()
中间件操作定义
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.html import time from scrapy import signals # useful for handling different item types with a single interface from itemadapter import is_item, ItemAdapter from scrapy.http import HtmlResponse from selenium.common.exceptions import TimeoutException class 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)
爬虫定义
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 scrapy from selenium import webdriver from selenium.webdriver.chrome.options import Options from douban_playing.items import DoubanPlayingItem class 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
数据管道定义
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 interface from itemadapter import ItemAdapter class 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()
配置设置
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.html BOT_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 rules ROBOTSTXT_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.html SPIDER_MIDDLEWARES = { 'douban_playing.middlewares.DoubanPlayingSpiderMiddleware': 543, } # Enable or disable downloader middlewares # See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html DOWNLOADER_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.html ITEM_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'
执行验证
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!!!
总结
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》
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