佩雷思,我是大明星20130531,泰安迪厅
我要评论# -*- coding: utf-8 -*-
import scrapy
from copy import deepcopy
class suspider(scrapy.spider):
name = 'su'
allowed_domains = ['suning.com']
start_urls = ['http://list.suning.com/?safp=d488778a.error1.0.4786e76351']
def parse(self, response):
# 获取大分类列表
bcate_list = response.xpath("//div[@class='allsortleft']/ul/li")
for bcate in bcate_list:
item = {}
# 获取大分类class的值
class_name = bcate.xpath("./@class").extract_first()
# 获取所有大分类的名称
item["bcate"] = bcate.xpath("./a/span/text()").extract_first()
# print(item["bcate"])
# 根据大分类的class定位每个大分类下的所有小分类
scate_list = response.xpath("//div[@class='{}']/div".format(class_name))
for scate in scate_list:
# 小分类的名称
item["scate"] = scate.xpath("./div[1]/a/@title").extract_first()
# 获取每个小分类下的所有标签
tag_list = scate.xpath("./div[2]/a")
for tag in tag_list:
# 每个标签的链接和名称
item["tag"] = tag.xpath("./text()").extract_first()
item["tag_link"] = "http:" + tag.xpath("./@href").extract_first()
# 进入列表页
yield scrapy.request(
item["tag_link"],
callback=self.good_list,
meta={"item": deepcopy(item)}
)
def good_list(self, response):
item = deepcopy(response.meta["item"])
# 获取当前页的所有商品列表
li_list = response.xpath("//div[@id='product-wrap']/div/ul/li")
for li in li_list:
# 获取商品的图片地址，名称，价格，商品详情页的链接
item["good_img"] = "http:"+li.xpath(".//div[@class='res-img']/div/a/img/@src").extract_first()
item["good_name"] = li.xpath(".//div[@class='res-info']/div/a/text()").extract_first()
item["good_price"] = li.xpath(".//div[@class='res-info']/div/span/text()").extract_first()
item["good_href"] = li.xpath(".//div[@class='res-info']/div/a/@href").extract_first()
# 进入商品详情页
if item["good_href"] != "javascript:void(0);":
yield scrapy.request(
"http:"+item["good_href"],
callback=self.good_detail,
meta={"item": deepcopy(item)}
)
# 翻页
next_url = response.xpath("//a[@id='nextpage']/@href").extract_first()
if next_url:
yield scrapy.request(
next_url,
callback=self.good_list,
meta={"item": response.meta["item"]}
)
def good_detail(self, response):
item = response.meta["item"]
# 获取当前商品的属性规格：颜色、版本、
size_list = response.xpath("//div[@id='j-tzm']/dl")
for size in size_list:
size_name = size.xpath("./dt/span/text()").extract_first()
size_value = size.xpath("./dd/ul/li/@title").extract()
item[size_name] = size_value
print(item)
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