1.项目代码
items.py
# -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # https://doc.scrapy.org/en/latest/topics/items.html import scrapy class TencentmovieItem(scrapy.Item): # define the fields for your item here like: # name = scrapy.Field() # 1.电影名称 figure_title = scrapy.Field() # 2.主演 main_performer = scrapy.Field() # 3.浏览量 num = scrapy.Field() # 4.影片海报 movie_img = scrapy.Field() # 5.影片摘要 movie_abstract = scrapy.Field()
tencentmoive.py
# -*- coding: utf-8 -*- import scrapy from TencentMovie.items import TencentmovieItem class TencentmoiveSpider(scrapy.Spider): name = 'tencentmoive' allowed_domains = ['v.qq.com'] start_urls = ["https://v.qq.com/x/list/movie?sort=19&offset=0"] # baseURL = "https://v.qq.com/x/list/movie?sort=19&offset=" # offset = 0 baseURL = "https://v.qq.com/x/list/movie" def parse(self, response): node_list = response.xpath("//li[@class='list_item']") for node in node_list: item = TencentmovieItem() item["figure_title"] = node.xpath("./div/strong/a/text()").extract()[0] # 某些影片无主演 if len(node.xpath("./div/a/text()")): item["main_performer"] = node.xpath("./div/a/text()").extract()[0] else: item["main_performer"] = " " item["num"] = node.xpath("./div/span/text()").extract()[0] item["movie_img"] = node.xpath("./a/img/@src").extract()[0] # 某些影片无电影摘要 if not len(node.xpath("./a/div/span/text()")): item["movie_abstract"] = " " else: item["movie_abstract"] = node.xpath("./a/div/span/text()").extract()[0] yield item # self.offset += 30 # if self.offset < 4980: # url = self.baseURL+str(self.offset) # yield scrapy.Request(url, callback=self.parse, dont_filter=True) # 非最后一页 if not len(response.xpath("//a[@class='page_next disabled']")): url = response.xpath("//a[@class='page_next']/@href").extract()[0] yield scrapy.Request(self.baseURL+url, callback=self.parse, dont_filter=True)
pipelines.py
# -*- coding: utf-8 -*- # Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html import json class TencentmoviePipeline(object): def __init__(self): self.f = open("tencentMoive.json", "w") def process_item(self, item, spider): content = json.dumps(dict(item), ensure_ascii=False) + ",\n" self.f.write(str(content.encode("utf-8"), encoding="utf-8")) return item def close_spider(self, spider): self.f.close()
settings.py
# -*- coding: utf-8 -*- # Scrapy settings for TencentMovie project # # For simplicity, this file contains only settings considered important or # commonly used. You can find more settings consulting the documentation: # # https://doc.scrapy.org/en/latest/topics/settings.html # https://doc.scrapy.org/en/latest/topics/downloader-middleware.html # https://doc.scrapy.org/en/latest/topics/spider-middleware.html BOT_NAME = 'TencentMovie' SPIDER_MODULES = ['TencentMovie.spiders'] NEWSPIDER_MODULE = 'TencentMovie.spiders' # Crawl responsibly by identifying yourself (and your website) on the user-agent #USER_AGENT = 'TencentMovie (+http://www.yourdomain.com)' # 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://doc.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', #} # Enable or disable spider middlewares # See https://doc.scrapy.org/en/latest/topics/spider-middleware.html #SPIDER_MIDDLEWARES = { # 'TencentMovie.middlewares.TencentmovieSpiderMiddleware': 543, #} # Enable or disable downloader middlewares # See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html #DOWNLOADER_MIDDLEWARES = { # 'TencentMovie.middlewares.TencentmovieDownloaderMiddleware': 543, #} # Enable or disable extensions # See https://doc.scrapy.org/en/latest/topics/extensions.html #EXTENSIONS = { # 'scrapy.extensions.telnet.TelnetConsole': None, #} # Configure item pipelines # See https://doc.scrapy.org/en/latest/topics/item-pipeline.html ITEM_PIPELINES = { 'TencentMovie.pipelines.TencentmoviePipeline': 300, } # Enable and configure the AutoThrottle extension (disabled by default) # See https://doc.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://doc.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'
start.py
# coding:utf-8 from scrapy import cmdline cmdline.execute("scrapy crawl tencentmoive".split())
2.爬虫爬取结果部分展示
{"figure_title": "私事","main_performer": "Maisa Abd Elhadi", "num": "2669", "movie_img": "//i.gtimg.cn/qqlive/images/20150608/pic_v.png", "movie_abstract": "老夫老妻婚姻和谐指南"}, {"figure_title": "小羊快跑", "main_performer": "雷迪亚特·阿马雷", "num": "2170", "movie_img": "//i.gtimg.cn/qqlive/images/20150608/pic_v.png", "movie_abstract": "直击人心的最真实生活"}, {"figure_title": "埃贡·席勒:死神与少女", "main_performer": "诺亚·萨维德拉", "num": "9908", "movie_img": "//i.gtimg.cn/qqlive/images/20150608/pic_v.png", "movie_abstract": "最受争议的艺术家情史"}, {"figure_title": "出柙猛兽", "main_performer": "凯瑟琳·厄布", "num": "19万", "movie_img": "//i.gtimg.cn/qqlive/images/20150608/pic_v.png", "movie_abstract": "前囚犯救子心切"}, {"figure_title": "最终正义", "main_performer": "马克·达卡斯考斯", "num": "14万", "movie_img": "//i.gtimg.cn/qqlive/images/20150608/pic_v.png", "movie_abstract": "退役特种兵的绝地反击"}, {"figure_title": "很抱歉,如果我叫爱情", "main_performer": "克里斯蒂娜·布隆多", "num": "1538", "movie_img": "//i.gtimg.cn/qqlive/images/20150608/pic_v.png", "movie_abstract": "西班牙小清新电影"}, {"figure_title": "闪电巡逻队", "main_performer": " ", "num": "2932", "movie_img": "//i.gtimg.cn/qqlive/images/20150608/pic_v.png", "movie_abstract": "南非警探逆袭成英雄"}, {"figure_title": "石之心", "main_performer": "莫里兹·布雷多", "num": "1万", "movie_img": "//i.gtimg.cn/qqlive/images/20150608/pic_v.png", "movie_abstract": "德国民间童话故事改编"}, {"figure_title": "我的妹妹是大明星", "main_performer": "Alice Foulcher", "num": "1万", "movie_img": "//i.gtimg.cn/qqlive/images/20150608/pic_v.png", "movie_abstract": "孪生姐妹花命运不同"}, {"figure_title": "椰子英雄", "main_performer": "Alex Ozerov", "num": "1万", "movie_img": "//i.gtimg.cn/qqlive/images/20150608/pic_v.png", "movie_abstract": "德国文艺小清新"}, {"figure_title": "相见恨晚", "main_performer": " ", "num": "788", "movie_img": "//i.gtimg.cn/qqlive/images/20150608/pic_v.png", "movie_abstract": "笑着勇敢活下去"}, {"figure_title": "莫斯科不眠夜", "main_performer": "Yuriy Stoyanov", "num": "3389", "movie_img": "//i.gtimg.cn/qqlive/images/20150608/pic_v.png", "movie_abstract": "著名笑星最后的日子"},