"""
抓取
解析
存储
"""
import re
#import ast
from urllib import parse
from datetime import datetime
import requests
import time
from scrapy import Selector
from models import *
domain = "http://www.91jf.com/"
#函数用来保存写入测试文本
def write_txt(html_data):
f = open("a.txt", 'w')
f.write(html_data)
f.close()
def get_nodes_json():
left_menu_text = requests.get("http://www.91jf.com/").text
#write_txt(left_menu_text)
#etree.HTML(res0.text)
sel = Selector(text=left_menu_text)
all_divs = sel.xpath("//div[@class='class_child_li']//a[@href]").extract()
if all_divs:
nodes_lists = []
for i in range(len(all_divs)):
nodes_str = all_divs[i]
nodes_str = nodes_str.replace("&","&")#此处&由于被转义成&导致需要重新进行处理
nodes_lists.append(nodes_str)
return nodes_lists
return []
url_list_names = []
def process_nodes_list(nodes_list):
#将js的格式提取出url到list中
for item in nodes_list:
#此处为对应的url数据
url = re.search('".*d"', item)
url = url.group(0).replace(""", "")
url = parse.urljoin(domain,url)
#此处为url对应的商品标签
name = re.search('<span>.*</span>',item)
name = name.group(0).replace("<span>","")
name = name.replace("</span>","")
url_list_name = [url,name]
url_list_names.append(url_list_name)
return url_list_names
def get_level1_list(nodes_list):
level1_url = []
#将js的格式提取出url到list中
for item in nodes_list:
#此处为对应的url数据
url = re.search('".*d"', item)
url = url.group(0).replace(""", "")
url1 = parse.urljoin(domain,url + "&okey=salenum&order=desc&page=1")
level1_url.append(url1)
return level1_url
def get_last_urls():
#获取最终需要抓取的url
url_list = []
nodes_list = get_nodes_json()
url_names = process_nodes_list(nodes_list)
level1_url = get_level1_list(nodes_list)
for url in level1_url:
print(url)
#url_list.extend(parse_data_last(url))
return url_list
def parse_product(url):
#获取商品的详情以及销售数量
res_text = requests.get(url).text
#print(res_text)
sel = Selector(text=res_text)
res_li = sel.xpath("//div[@class='pro_list_div g-clearfix c']/ul//li[@class='goods_offset']")
for item in res_li:
name = item.xpath("./div[@class='row row-2 title']/a/text()").extract()#产品名字
price = item.xpath('./div[@id="goods_detail_b"]/div[@class="row row-1"]/div[@class="g_price fm2"]/strong/text()').extract()#显示价格
sales_num = item.xpath("./div[@id='goods_detail_b']/div[2]/p[1]/text()").extract()#销售数量
merchant = item.xpath("./div[@id='goods_detail_b']/div[2]/p[2]/text()").extract()#商家
main_Products = item.xpath("./div[@id='goods_detail_b']/div[2]/p[3]/text()").extract()#主营
merchant_Place = item.xpath("./div[@id='goods_detail_b']/div[2]/p[4]/text()").extract()#地址
print(type(name),'name')
print(type(price),'price')
print(type(sales_num),'sales_num')
print(type(merchant),'merchant')
print(type(main_Products),'main_Products')
print(type(merchant_Place),'merchant_Place')
product = Product()
product.name = name
product.price = price
product.sales_num = sales_num
product.merchant = merchant
product.main_Products = main_Products
product.merchant_Place = merchant_Place
#print(product.name,product.price,product.sales_num,product.merchant,product.main_Products,product.merchant_Place)
product.save()
#/html/body/div[6]/div[3]/div[1]/div[4]/div
next_page = sel.xpath("//*[@class='pagination2']/a[@href]").extract()
if len(next_page) > 2 :
url_next = re.search('".*d"',next_page[-1])
url_next = url_next.group().replace("&","&")#此处&由于被转义成&导致需要重新进行处理
url_next = url_next.replace(""","")
url_next = parse.urljoin(domain,url_next)
#print(url_next)
parse_product(url_next)
#获取商品链接
def parse_data_last(url):
url_list = []
#获取商品的详情标签
res_text = requests.get(url).text
sel = Selector(text=res_text)
res_li = sel.xpath("//div[@class='pro_list_div g-clearfix c']/ul//li[@class='goods_offset']")
for item in res_li:
sales_num = item.xpath("./div[@id='goods_detail_b']/div[2]/p[1]/text()").extract()#销售数量
#print(sales_num)
data = item.xpath("./div[@class='pro_pic_box']/a").extract()
data = re.search('".*d"',data[0])
data = data.group().replace("&","&")
data = data.replace(""","")
data_url = parse.urljoin(domain,data)#链接为销量排序之后的单个商品链接，传出链接
#print("开始获取商品：{}".format(data_url))
parse_product_data(data_url)
url_list.append(data_url)
#此处代码用来切到下一页链接数据，商品的详情排布页
next_page = sel.xpath("//*[@class='pagination2']/a[@href]").extract()
if len(next_page) > 2 and len(res_li) > 31:
url_next = re.search('".*d"',next_page[-1])
url_next = url_next.group().replace("&","&")#此处&由于被转义成&导致需要重新进行处理
url_next = url_next.replace(""","")
url_next = parse.urljoin(domain,url_next)
parse_data_last(url_next)
return url_list
#获取商品详细数据
def parse_product_data(url):
#获取商品的详情以及销售数量
#print(url)#打印当前商品页的url用来定位
product_id = url.split('id=')[1]#对商品id进行切片处理，用来获取ajax数据
res_text = requests.get(url).text
sel = Selector(text=res_text)
#筛选规则，当is_price之后的value属性值为0的时候，说明不需要咨询商家，同时需要注意的是，商品会有打折批次数量的差异导致价格差异，
#这一点需要根据具体的显示页面来处理，现在忽略，由于可能存在打折段的数据差异，所以暂时不考虑
Is_price = sel.xpath("//input[contains(@id,'is_price')]").extract()#取到的数据用来判断价格是否需要咨询商家
is_value = re.search('d',Is_price[0])
if is_value.group() == '0':#0表示商品价格不需要咨询商户
#datas = sel.xpath("//table[contains(@class,'goods_spec_list')]").extract()
datas = sel.xpath("//div[contains(@class,'show_all')]/table[contains(@class,'goods_spec_list')]//tr")
#price_base
price_base = 0.0
for item in range(len(datas)):
price = datas[item].xpath("./input[3]").extract()
price = re.search('value=".*"',price[0])
price = re.search('d.*d',price[0])
price = price.group()
price_base = price_base + float(price)
price_base = price_base / len(datas)#商品基准价格计算
#此处获取商品的描述信息
attributes_list = sel.xpath("//span[contains(@class,'attributes-list')]//li/text()").extract()
str_attributes = ' '.join(attributes_list)
str_attributes = str_attributes.replace(" "," ")#商品信息描述
#此处发送请求获取商品购买数据
url_sales = parse.urljoin(domain,'default.php?act=evallist')
data = {
'id': product_id,
'page': '0',
'info_type': 'sale'
}
response = requests.post(url_sales, data=data)
buyer_num = response.json().get("member")#购买人数
sale_num = response.json().get('num')#销售数量
buyer_rate = response.json().get('re_buyer_rate')#商品复购率
else :
price = "价格请咨询商家"
#print(price)
#price1 = sel.xpath("//input[@id='goods_spec_price_0_0']").extract()
#print("获取指定商品失败，不存在的商品")
if __name__ == "__main__":
start_time = time.ctime()
print(start_time)
#last_urls = get_last_urls()
url = 'http://www.91jf.com/default.php?act=categorygoodslist&category_id=36&okey=salenum&order=desc&page=1'
parse_product(url)
end_time = time.ctime()
print(end_time)
print("一共使用时间：",start_time)
'''
for url in last_urls:
#parse_product_data(url)
#print("开始获取商品：{}".format(url))
'''