python实战计划第二周第二次：电话号码

处理详情页面的字符串费了些劲，其他还好。

我的成果

屏幕快照 2016-09-01 下午9.23.04.jpg

我的代码

from bs4 import BeautifulSoup
import requests
import time
import pymongo

client=pymongo.MongoClient('localhost',27017)
phone_num=client['phone_num']
sheet_num=phone_num['sheet_num']
sheet_info=phone_num['sheet_info']

def phone_links(num):
    url='http://bj.58.com/shoujihao/pn{}/?'.format(num)
    time.sleep(1)
    wb_data=requests.get(url)
    soup=BeautifulSoup(wb_data.text,'lxml')
    titles=soup.select('a.t > strong')
    phonenum_links=soup.select('#infolist > div > ul > div > ul > li > a.t')
    if soup.select('#infocont > span > b')[0].text=='0':
        return
    else:
        for title,phonenum_link in zip(titles,phonenum_links):
            data={
                'title':title.get_text(),
                'phonenum_links':phonenum_link.get('href').split('?')[0]
            }
            sheet_num.insert_one(data)
            print(data)

def get_num_info(url):
    time.sleep(1)
    wb_data=requests.get(url)
    soup=BeautifulSoup(wb_data.text,'lxml')
    title=soup.select('div.col_sub.mainTitle > h1')[0]
    price=soup.select('div.su_con > span')[0]
    data={
        'url':url,
        'title':title.get_text().replace("\n","").replace(" ","").replace("\t","")[:11],
        'price':price.get_text().replace("\n","").replace(" ","").replace("\t","")
    }
    sheet_info.insert_one(data)
    print(data)

for i in range(1,1000):
    phone_links(i)

for info in sheet_info.find():
    get_num_info(info['url'])

总结

• 网页各有不同，需要根据具体的特点分析自己需要爬取的数据，应该采用什么方法才能有效的获取。