爬取电商售卖信息

#! /usr/bin/env python
# encoding='utf-8'
# Filename:spider_58center_sth.py

from bs4 import BeautifulSoup
import time
import requests

url_58 = 'http://nj.58.com/?PGTID=0d000000-0000-0c5c-ffba-71f8f3f7039e&ClickID=1'

'''
用于爬取电商售卖信息:例为58同城电脑售卖信息'''


def get_url_list(url):
    web_data = requests.get(url)
    soup = BeautifulSoup(web_data.text, 'lxml')
    url = soup.select('td.t > a[class="t"]')
    url_list = ''
    for link in url:
        link_n = link.get('href')
        if 'zhuanzhuan' in link_n:
            pass
        else:
            if 'jump' in link_n:
                pass
            else:
                url_list = url_list + '
' + link_n

    print('url_list: %s' % url_list)
    return url_list


# 分类获取目标信息
def get_url_info():
    url_list = get_url_list(url_58)

    for url in url_list.split():
        time.sleep(1)
        web_datas = requests.get(url)
        soup = BeautifulSoup(web_datas.text, 'lxml')

        type = soup.select('#head > div.breadCrumb.f12 > span:nth-of-type(3) > a')
        title = soup.select(' div.col_sub.mainTitle > h1')
        date = soup.select('li.time')
        price = soup.select('div.person_add_top.no_ident_top > div.per_ad_left > div.col_sub.summary > ul > '
                            'li:nth-of-type(1) > div.su_con > span.price.c_f50')
        fineness = soup.select('div.col_sub.summary > u1 > li:nth-of-type(2) > div.su_con > span')
        area = soup.select('div.col_sub.summary > u1 > li:nth-of-type(3) > div.su_con > span')

        for typei, titlei, datei, pricei, finenessi, areai in zip(type, title, date, price, fineness, area):

            # 做字典
            data = {
                'type': typei.get_text(),
                'title': titlei.get_text(),
                'date': datei.get_text(),
                'price': pricei.get_text(),
                'fineness': (finenessi.get_text()).strip(),
                'area': list(areai.stripped_strings)
            }
            print(data)

    get_url_info()

爬取商城商品售卖信息