爬了14W数据,存入Mongodb,用Charts库展示统计结果,这里展示一个示意

模块1 获取分类url列表

from bs4 import BeautifulSoup
import requests,pymongo

main_url = 'http://bj.58.com/sale.shtml'
client = pymongo.MongoClient('localhost',27017)
tc_58 = client['58tc']
tab_link_list = tc_58['link_list']

web_data = requests.get(main_url)
soup = BeautifulSoup(web_data.text,'lxml')
sub_menu_link = soup.select('ul.ym-submnu > li > b > a')

link_list = []
count = 0
for link in sub_menu_link:
    link = 'http://bj.58.com' + link.get('href')
    #print(link)
    if link == 'http://bj.58.com/shoujihao/':
        pass
    elif link == 'http://bj.58.com/tongxunyw/':
        pass
    elif link == 'http://bj.58.com/tiaozao/':
        count += 1
        if count == 1:
            data = {'link':link}
            link_list.append(data)
    else:
        data = {'link': link}
        link_list.append(data)

for i in link_list:
    tab_link_list.insert(i)

模块2 获取每个商品详情信息

from bs4 import BeautifulSoup
import requests,re,pymongo,sys
from multiprocessing import Pool

client = pymongo.MongoClient('localhost',27017)
tc_58 = client['58tc']
# detail_link = tc_58['detail_link']
tab_link_list = tc_58['link_list']
# tc_58_data = client['58tcData']

def getDetailUrl(page_url,tab):
    url_list = []
    web_data = requests.get(page_url)
    soup = BeautifulSoup(web_data.text,'lxml')
    detail_url = soup.select('div.infocon > table > tbody > tr > td.t > a[onclick]')

    #获取详细页面url
    for url in detail_url:
        url_list.append(url.get('href').split('?')[0])

    #插入mongodb
    count = 0
    client = pymongo.MongoClient('localhost', 27017)
    tc_58 = client['58tc']
    tab_list = tc_58[tab+'_list']
    for i in url_list:
        count += 1
        tab_list.insert({'link':i})
    return count

original_price_patt = re.compile('原价:(.+)')
def getInfo(detail_url):
    try:
        web_data = requests.get(detail_url)
        soup = BeautifulSoup(web_data.text,'lxml')
        title = soup.title.text.strip()
        view_count = soup.select('body > div.content > div > div.box_left > div.info_lubotu.clearfix > div.box_left_top > p > span.look_time')[0].text
        want_count = soup.select('body > div.content > div > div.box_left > div.info_lubotu.clearfix > div.box_left_top > p > span.want_person')[0].text
        current_price = soup.select('body > div.content > div > div.box_left > div.info_lubotu.clearfix > div.info_massege.left > div.price_li > span > i')
        current_price = current_price[0].text if current_price else None
original_price = soup.select('body > div.content > div > div.box_left > div.info_lubotu.clearfix > div.info_massege.left > div.price_li > span > b')
        original_price = original_price[0].text if original_price else None
original_price = re.findall(original_price_patt,original_price) if original_price else None
location = soup.select('body > div.content > div > div.box_left > div.info_lubotu.clearfix > div.info_massege.left > div.palce_li > span > i')[0].text
        tag = soup.select('body > div.content > div > div.box_left > div.info_lubotu.clearfix > div.info_massege.left > div.biaoqian_li')
        tag = list(tag[0].stripped_strings) if tag else None
seller_name = soup.select('body > div.content > div > div.box_right > div.personal.jieshao_div > div.personal_jieshao > p.personal_name')[0].text
        # level = soup.select('body > div.content > div > div.box_right > div.personal.jieshao_div > div.personal_jieshao > span')
        # level = str(level[0]).split('\n')
        #
        # full_count = 0
        # half_count = 0
        # for j in level:
        #     if '<span class="icon_png "></span>' == j:
        #         full_count += 1
        #     elif '<span class="icon_png smallScore"></span>' == j:
        #         half_count += 1
        full_count = len(soup.find_all('span', class_='icon_png '))
        half_count = len(soup.find_all('span', class_='icon_png smallScore'))

        level_count = {'full':full_count,'half':half_count}
        desc = soup.select('body > div.content > div > div.box_left > div:nth-of-type(3) > div > div > p')
        desc = desc[0].text if desc else None
data = {
            'title':title,
            'view_count':view_count,
            'want_count':want_count,
            'current_price':current_price,
            'original_price':original_price,
            'location':location,
            'tag':tag,
            'seller_name':seller_name,
            #'level':level,
            'level_count':level_count,
            'desc':desc,
            'link':detail_url
}
        return data
    except:
        print(sys.exc_info()[0], sys.exc_info()[1])
        return None
# for i in tab_link_list.find({},{'link':1,'_id':0}):
#     print(i['link'])
#     getDetailUrl(i['link'])

#规律每个页面最多70页
def insertDetailLin(sub_menu_list):
    patt = re.compile('.+?com/([a-z]+)/')
    tab_list = []
    for i in sub_menu_list.find({},{'link':1,'_id':0}):
    #for i in [{'link':'http://bj.58.com/shouji/'}]:
        i = i['link']
        sub_menu_name = re.findall(patt,i)[0]
        print(sub_menu_name+': ',end='')
        url_list = []
        for j in range(1,71):
            link = i + 'pn' + str(j)
            url_list.append(link)

        cnt = 0
        for k in url_list:
            cnt = cnt + getDetailUrl(k, sub_menu_name)
        print(str(cnt) + ' lines inserted')
        if cnt != 0:
            tab_list.append(sub_menu_name+'_list')
    return tab_list

# for i in tab_link_list.find({},{'link':1,'_id':0}):
#     print(i)

#insertDetailLin(tab_link_list)

allMenCollectionName = tc_58.collection_names()
#allMenCollectionName.remove('detail_link')
allMenCollectionName.remove('link_list')
def insertData(tab_name):
    client = pymongo.MongoClient('localhost', 27017)
    tc_58 = client['58tc']
    tc_58_data = client['58tcDataNew']
    fenLei = tab_name[:-5]
    fenLei = tc_58_data[fenLei+'_data']
    tab_name = tc_58[tab_name]
    #print(tab_name)
    for i in tab_name.find({},{'link':1,'_id':0}):
        data = getInfo(i['link'])
        fenLei.insert(data)

def getContinuingly(fenlei):
    client = pymongo.MongoClient('localhost',27017)
    tc_58_data = client['58tcDataNew']
    tc_58 = client['58tc']
    fenlei_data = tc_58_data[fenlei+'_data']
    fenlei_list = tc_58[fenlei+'_list']
    db_urls = [item['link'] for item in fenlei_data.find()]
    index_url = [item['link'] for item in fenlei_list.find()]
    x=set(db_urls)
    y=set(index_url)
    rest_of_urls = y-x
    return list(rest_of_urls)

def startgetContinuingly(fenlei):
    client = pymongo.MongoClient('localhost', 27017)
    tc_58_data = client['58tcDataNew']
    fenLei = tc_58_data[fenlei+'_data']
    #rest_of_urls = getContinuingly('chuang')
    rest_of_urls = getContinuingly(fenlei)
    #print(rest_of_urls)
    for i in rest_of_urls:
        data = getInfo(i)
        fenLei.insert(data)

# startgetContinuingly('bijiben')
pool = Pool()
pool.map(insertData,allMenCollectionName)
#pool.map(insertData,['chuang_list'])
#insertData(allMenCollectionName)

模块3 分析

from collections import Counter
import pymongo,charts

def getTotalCount(database,host=None,port=None):
    client = pymongo.MongoClient(host,port)
    db = client[database]
    tab_list = db.collection_names()
    #print(tab_list)
    count = 0
    for i in tab_list:
        count = count + db[i].find({}).count()
    print(count)
    return count

#getTotalCount('58tcDataNew')
#14700

def getAreaByClassify(classify,database='58tcDataNew',host=None,port=None):
    client = pymongo.MongoClient(host, port)
    db = client[database]
    classify = classify + '_data'
    #location_list = [ i['location'][3:] if i['location'] != '' and i['location'][:2] == '北京' else None for i in db['bijiben_data'].find(filter={},projection={'location':1,'_id':0})]
    location_list = [i['location'][3:] for i in db['yueqi_data'].find(filter={}, projection={'location': 1, '_id': 0})
                     if i['location'] != '' and i['location'][:2] == '北京' and i['location'][3:] != '']
    loc_name = list(set(location_list))
    dic_count = {}
    for i in loc_name:
        dic_count[i] = location_list.count(i)
    return dic_count

# bijiben_area_count = getAreaByClassify(classify='yueqi')
# print(bijiben_area_count)
# danche_area_count = getAreaByClassify(classify='danche')
# sum_area_count = Counter(bijiben_area_count) + Counter(danche_area_count)
# print(sum_area_count)

def myCounter(L,database='58tcDataNew',host=None,port=None):
    client = pymongo.MongoClient(host, port)
    db = client[database]
    tab_list = db.collection_names()
    dic_0 = {}
    for i in tab_list:
        loc = i[:-5] + '_area_count'
        dic_0[loc] = 0

    if not L:
        return Counter(dic_0)
    else:
        return Counter(L[0]) + myCounter(L[1:])

def getAllCount(database='58tcDataNew',host=None,port=None):
    client = pymongo.MongoClient(host, port)
    db = client[database]
    tab_list = db.collection_names()
    dic_all_count = {}
    for i in tab_list:
        dic = getAreaByClassify(i[:-5])
        loc = i[:-5] + '_area_count'
        dic_all_count[loc] = dic

    dic_val = [dic_all_count[x] for x in dic_all_count]
    my = myCounter(dic_val)

    dic_all_count['total_area_count'] = dict(my)
    return dic_all_count

dic_all_count = getAllCount()
# print(dic_all_count['bijiben_area_count'])
# print(dic_all_count['total_area_count'])
#
#

tmp_list = []
for i in dic_all_count['total_area_count']:
    data = {
        'name':i,
        'data':[dic_all_count['total_area_count'][i]],
        'type':'column'
    }
    tmp_list.append(data)

options = {
    'chart'   : {'zoomType':'xy'},
    'title'   : {'text': '北京58同城二手交易信息发布区域分布图'},
    'subtitle': {'text': '数据来源: 58.com'},
    'xAxis'   : {'categories': ['']},
    'yAxis'   : {'title':{'text':'数量'}},
    'plotOptions': {'column': {'dataLabels': {'enabled': True}}}
    }
charts.plot(tmp_list,show='inline',options=options)

 
 

用Python写爬虫爬取58同城二手交易数据的更多相关文章

  1. python3爬虫-爬取58同城上所有城市的租房信息

    from fake_useragent import UserAgent from lxml import etree import requests, os import time, re, dat ...

  2. 养只爬虫当宠物(Node.js爬虫爬取58同城租房信息)

    先上一个源代码吧. https://github.com/answershuto/Rental 欢迎指导交流. 效果图 搭建Node.js环境及启动服务 安装node以及npm,用express模块启 ...

  3. 利用python爬取58同城简历数据

    利用python爬取58同城简历数据 利用python爬取58同城简历数据 最近接到一个工作,需要获取58同城上面的简历信息(http://gz.58.com/qzyewu/).最开始想到是用pyth ...

  4. 如何利用Python网络爬虫爬取微信朋友圈动态--附代码(下)

    前天给大家分享了如何利用Python网络爬虫爬取微信朋友圈数据的上篇(理论篇),今天给大家分享一下代码实现(实战篇),接着上篇往下继续深入. 一.代码实现 1.修改Scrapy项目中的items.py ...

  5. 利用Python网络爬虫爬取学校官网十条标题

    利用Python网络爬虫爬取学校官网十条标题 案例代码: # __author : "J" # date : 2018-03-06 # 导入需要用到的库文件 import urll ...

  6. python爬虫爬取get请求的页面数据代码样例

    废话不多说,上代码 #!/usr/bin/env python # -*- coding:utf-8 -*- # 导包 import urllib.request import urllib.pars ...

  7. 04 Python网络爬虫 <<爬取get/post请求的页面数据>>之requests模块

    一. urllib库 urllib是Python自带的一个用于爬虫的库,其主要作用就是可以通过代码模拟浏览器发送请求.其常被用到的子模块在Python3中的为urllib.request和urllib ...

  8. 爬虫--scrapy+redis分布式爬取58同城北京全站租房数据

    作业需求: 1.基于Spider或者CrawlSpider进行租房信息的爬取 2.本机搭建分布式环境对租房信息进行爬取 3.搭建多台机器的分布式环境,多台机器同时进行租房数据爬取 建议:用Pychar ...

  9. python学习(十六)写爬虫爬取糗事百科段子

    原文链接:爬取糗事百科段子 利用前面学到的文件.正则表达式.urllib的知识,综合运用,爬取糗事百科的段子先用urllib库获取糗事百科热帖第一页的数据.并打开文件进行保存,正好可以熟悉一下之前学过 ...

随机推荐

  1. 对于那本--你必须知道的499个C语言问题--总结

    (1)1.3 (2)1.10没看懂 (3)1.11和1.12都讲到了   静态变量和局部变量,那么这两个是啥啊,我不懂: (4)1.13针对那两个字符串定义为啥有问题,不懂 (5)2.8是做什么的 ( ...

  2. ORACLE 获取程序当前位置的方法

    FUNCTION f_Get_Program_Position RETURN VARCHAR2 IS l_Owner ); l_Name ); l_Lineno NUMBER; l_Type ); B ...

  3. NetworkComms 文件上传下载和客户端自动升级(非开源)

    演示程序下载地址:http://pan.baidu.com/s/1geVfmcr 淘宝地址:https://shop183793329.taobao.com 联系QQ号:3201175853 许可:购 ...

  4. 9×9扫雷游戏代码-C写的

    #include <stdio.h> #include <stdlib.h> //画棋盘 a雷表 b周围雷数表 c打开表 ][],][],][]) { ,j=; ;i<; ...

  5. Web应用定时任务实现

    一.需求: 项目上有时需要执行一些定时任务,比如:超过2天未处理的问题,邮件自动通知客服.对接人:3天未处理的问题,邮件自动通知客服.对接人和项目经理,同时标为‘紧急’状态:5天未处理的问题,邮件自动 ...

  6. Android获取时间

    java代码: import java.text.SimpleDateFormat;SimpleDateFormat formatter = new SimpleDateFormat ('yyyy年M ...

  7. SQL Server 列存储性能调优(翻译)

    原文地址:http://social.technet.microsoft.com/wiki/contents/articles/4995.sql-server-columnstore-performa ...

  8. pxe无人值守安装多网卡注意事项

    pxe无人值守安装linux配置这里就不说了,直接看这篇博客http://www.cnblogs.com/mchina/p/centos-pxe-kickstart-auto-install-os.h ...

  9. ng animate

    要在angular中加入动画必须引入angular.animate.js插件,然后就可以在module中引入ngAnimate模块.如: var module1 = angular.module('m ...

  10. mount: unknown filesystem type 'ntfs'

    mount: unknown filesystem type 'ntfs' 问题描述 # mount –t ntfs /dev/sdc1 /mnt/usb2 mount: unknown filesy ...