91家纺网，四次更新

Posted 2020-12-13 dog-and-cat

"""

抓取

解析

存储

"""

import re

#import ast

from urllib import parse

from datetime import datetime

import requests

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

    nodes_list = get_nodes_json()

    url_names = process_nodes_list(nodes_list)

    level1_url = get_level1_list(nodes_list)

    return level1_url

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)

    all_divs = sel.xpath("//div[@class=‘row row-2 title‘]/a/text()").extract()

    print(all_divs)

    ‘‘‘

    topic_item = all_divs[0]

    content = topic_item.xpath(".//div[@class=‘post_body post_body_min_h‘]").extract()[0]

    praised_nums = topic_item.xpath(".//label[@class=‘red_praise digg‘]//em/text()").extract()[0]

    jtl_str = topic_item.xpath(".//div[@class=‘close_topic‘]/text()").extract()[0]

    jtl = 0

    jtl_match = re.search("(d+)%", jtl_str)

    if jtl_match:

        jtl = int(jtl_match.group(1))

    existed_topics = Topic.select().where(Topic.id == topic_id)

    if existed_topics:

        topic = existed_topics[0]

        topic.content = content

        topic.jtl = jtl

        topic.praised_nums = praised_nums

        topic.save()

    for answer_item in all_divs[1:]:

        answer = Answer()

        answer.topic_id = topic_id

        author_info = answer_item.xpath(".//div[@class=‘nick_name‘]//a[1]/@href").extract()[0]

        author_id = author_info.split("/")[-1]

        create_time = answer_item.xpath(".//label[@class=‘date_time‘]/text()").extract()[0]

        create_time = datetime.strptime(create_time, "%Y-%m-%d %H:%M:%S")

        answer.author = author_id

        answer.create_time = create_time

        praised_nums = topic_item.xpath(".//label[@class=‘red_praise digg‘]//em/text()").extract()[0]

        answer.parised_nums = int(praised_nums)

        content = topic_item.xpath(".//div[@class=‘post_body post_body_min_h‘]").extract()[0]

        answer.content = content

        answer.save()

    next_page = sel.xpath("//a[@class=‘pageliststy next_page‘]/@href").extract()

    if next_page:

        next_url = parse.urljoin(domain, next_page[0])

        parse_product(next_url)

    ‘‘‘

if __name__ == "__main__":

    last_urls = get_last_urls()

    for url in last_urls:

        parse_product(url)

    #print(last_urls)