Python 通过xpath属性爬取豆瓣热映的电影信息
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》
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其它相关文章!