1.jd.py
# -*- coding: utf-8 -*- import scrapy from copy import deepcopy import json import urllib from scrapy_redis.spiders import RedisSpider from JingDong.items import JingdongItem class JdSpider(RedisSpider): name = 'jd' # allowed_domains = ['jd.com'] # start_urls = ['https://book.jd.com/booksort.html/'] redis_key = 'jingdong' # #解析分类 def parse(self, response): dt_list=response.xpath('//div[@class="mc"]/dl/dt') #大分类列表 for dt in dt_list: item=JingdongItem() item['b_cate']=dt.xpath('./a/text()').extract_first()#当前循环大标题 em_list=dt.xpath('./following-sibling::dd[1]/em') #下小分类列表 for em in em_list: item['s_href']=em.xpath('./a/@href').extract_first() #小分类的标题 item['s_cate']=em.xpath('./a/text()').extract_first() #小分类得到url if item['s_href'] is not None: item['s_href']='https:'+item['s_href'] yield scrapy.Request(item['s_href'],callback=self.parse_book_list,meta={'item':item}) #解析每个小分类下的所有图书 def parse_book_list(self,response): item=response.meta['item'] li_list=response.xpath('//div[@id="plist"]/ul/li') for li in li_list: item['book_name']=li.xpath('.//div[@class="p-name"]/a/em/text()').extract_first().strip() item['book_img']=li.xpath('.//div[@class="p-img"]//img/@src').extract_first() #封面照片连接 if item['book_img'] is None: item['book_img']=li.xpath('.//div[@class="p-img"]//img/@data-lazy-img').extract_first() item['book_img']='https:'+item['book_img'] if item['book_img'] is not None else None item['book_author']=li.xpath('.//span[@class="author_type_1"]/a/text()').extract() #作者 item['book_publish']=li.xpath('.//span[@class="p-bi-store"]/a/@title').extract_first() #出版社 item['book_publish_date']=li.xpath('.//span[@class="p-bi-date"]/text()').extract_first().strip() #出版日期 item['book_sku']=li.xpath('./div/@data-sku').extract_first()#书籍编号 #这边价格是去后端再次请求得到的 #因为这边后边还需要用到item，所以需要用到深拷贝,sccrapy有三级分类的都要注意是否要使用深拷贝 yield scrapy.Request('https://p.3.cn/prices/mgets?skuIds={}'.format(item['book_sku']),callback=self.parse_book_price,meta={'item':deepcopy(item)}) #列表翻页 next_url=response.xpath('//a[@class="pn-next"]/@href').extract_first() if next_url is not None: next_url=urllib.parse.urljoin(response.url,next_url) yield scrapy.Request(next_url,callback=self.parse_book_list,meta={'item',item}) #解析价格函数 def parse_book_price(self,response): item=response.meta['item'] #这边返回的json串 book_info_dict=json.loads(response.body.decode()) item['boo_price']=book_info_dict[0]['op'] print('=========',item)
2.item
import scrapy class JingdongItem(scrapy.Item): # define the fields for your item here like: # name = scrapy.Field() b_cate=scrapy.Field() s_href=scrapy.Field() s_cate=scrapy.Field() book_name=scrapy.Field() book_img=scrapy.Field() book_author=scrapy.Field() book_publish=scrapy.Field() book_publish_date=scrapy.Field() book_sku=scrapy.Field() boo_price=scrapy.Field()
3.settings
# -*- coding: utf-8 -*- # Scrapy settings for JingDong 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 = 'JingDong' SPIDER_MODULES = ['JingDong.spiders'] NEWSPIDER_MODULE = 'JingDong.spiders' # Crawl responsibly by identifying yourself (and your website) on the user-agent USER_AGENT = 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.109 Safari/537.36' # 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 = { # 'JingDong.middlewares.JingdongSpiderMiddleware': 543, #} # Enable or disable downloader middlewares # See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html #DOWNLOADER_MIDDLEWARES = { # 'JingDong.middlewares.JingdongDownloaderMiddleware': 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 = { # 'JingDong.pipelines.JingdongPipeline': 300, 'scrapy_redis.pipelines.RedisPipeline': 400 } # 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' DUPEFILTER_CLASS = "scrapy_redis.dupefilter.RFPDupeFilter" SCHEDULER = "scrapy_redis.scheduler.Scheduler" SCHEDULER_PERSIST = True REDIS_URL='redis://127.0.0.1:6379'