1、爬取糗事百科

代码：

#!/usr/bin/python
# -*- coding: UTF-8 -*-
time: 2017 / 10 / 23
import requests
import bs4
from bs4 import BeautifulSoup


def getHtmlText(url):
    try:
        r=requests.get(url,timeout=30)
        r.raise_for_status()
        r.encoding=r.apparent_encoding
        return r.text
    except:
        return" "


def readJokeText(html,fpath):
    soup=BeautifulSoup(html,'html.parser')
    for spans in soup.find_all('div',attrs={'class':'content'}):
        if isinstance(spans, bs4.element.Tag):
            sp = spans.find('span')
            # 如果用sp.string打印会出现有None，用sp.getText()方法打印就没有了
            print(sp.getText(),end=' ')
            with open(fpath,'a',encoding='utf-8') as f:
                f.write(sp.getText()+'\n')
                f.close()


def main():
    depth = 2
    path = "F://Joke.txt"
    start_url="https://www.qiushibaike.com/text/page/"
    for i in range(1,depth+1):
        url = start_url + str(i)
        html=getHtmlText(url)
        readJokeText(html, path)
main()

2、爬取淘宝手机信息

代码：

import requests
import re


def getHTMLText(url):
    try:
        r = requests.get(url,timeout=30)
        r.raise_for_status()
        r.encoding = r.apparent_encoding
        return r.text
    except:
        return ""


def parsePage(ilt,html):
    try:
        tlst = re.findall(r'\"title\":\".*?\"', html)
        mplst = re.findall(r'\"price\":\"[\d]*\"', html)
        mslst = re.findall(r'\"month_sales\":\"[\d]*\"', html)
        for j in range(len(mslst)):
            title = eval(tlst[j].split(':')[1])
            mprice = eval(mplst[j].split(':')[1])
            msale = eval(mslst[j].split(':')[1])
            ilt.append([title, mprice, msale])

    except:
         print(" ")

        
def printGoods(ilt):
    count = 0
    tplt = "{:4}\t{:20}\t{:20}\t{:20}"
    print(tplt.format("序号", "商品名称", "价格", "付款人数"))
    for g in ilt:
        count = count + 1
        print(tplt.format(count, g[0], g[1], g[2]))

def main():
    depth = 2
    info = []
    goods = "手机"
    start_url = "https://s.taobao.com/search?q="+goods
    for i in range(depth):
        try:
            url = start_url+"&s="+str(48*i)
            html = getHTMLText(url)
            parsePage(info,html)
        except:
            continue
    printGoods(info)
main()

3、爬取中国大学排名

代码：

#!/usr/bin/python
# -*- coding: UTF-8 -*-
time: 2017 / 10 / 22
import requests
from bs4 import BeautifulSoup
import bs4

def getHTMLText(url):
    #获取url的html信息并返回
    try:
        r=requests.get(url, timeout = 30)
        r.raise_for_status()
        r.encoding=r.apparent_encoding
        return r.text
    except:
        return ""


def fillUnivList(ulist, html):
    #将html的信息放到列表ulist中
    soup=BeautifulSoup(html,'html.parser')
    #找出tbody标签
    for tr in soup.find('tbody').children:
        # 检测tr标签的类型，如果不是bs4.element.Tag定义的标签则过滤掉
        if isinstance(tr,bs4.element.Tag):
            #查找td标签
            tds=tr('td')
            ulist.append([tds[0].string,tds[1].string,tds[2].string,tds[3].string])



def printUnivList(ulist, num):
    tplt="{0:^8}\t{1:{4}^10}\t{2:{4}^8}\t{3:{4}^6}"
    print(tplt.format("排名","学校名称","省市","总分",chr(12288)))
    for i in range(num):
        u=ulist[i]
        print(tplt.format(u[0],u[1],u[2],u[3],chr(12288)))


def main():
    uinfo=[]
    url="http://www.zuihaodaxue.cn/zuihaodaxuepaiming2016.html"
    html=getHTMLText(url)
    fillUnivList(uinfo, html)
    printUnivList(uinfo,10)   #打印10所大学信息
main()

4、爬取豆瓣top250

代码：

#!/usr/bin/python
# -*- coding: UTF-8 -*-
import requests
import re
import bs4
from bs4 import BeautifulSoup


def getHTMLText(url):
    try:
        r = requests.get(url,timeout=30)
        r.raise_for_status()
        r.encoding = r.apparent_encoding
        return r.text
    except:
        return ""


def paserHTML(ulist,html,fpath):
    uinfo = []

    soup = BeautifulSoup(html,'html.parser')
    try:
       # title = re.findall(r'<span class="title">(.*?)</span>',html)
        name = re.findall(r'<span class="title">(.[^&]*?)</span>',html)
        score = re.findall(r'.*?"v:average">(.*?)</span>',html)
        data = soup.find('ol',{'class': 'grid_view'})
        mlist = data.find_all('li')
        for m in mlist:
            info = m.find('p').getText()
            dioc=  re.findall(r'导演:\s(.*?)\s', info)[0]
            p = re.findall(r'<span>([\d].*?)</span>',html)
            zlist = re.findall(r'主演:\s(.*?)\s', html)
            brief = re.findall(r'<span class="inq">(.*?)</span>',html)
            uinfo.append(dioc)
        for i in range(len(name)):
           ulist.append([name[i],score[i],uinfo[i],zlist[i],p[i],brief[i]])
           with open(fpath,'a',encoding='utf-8')as f:
               f.write(str(ulist))
    except:
        print("")



def printDouban(ulist):
    count = 0
    tplt = "{:4}\t{:16}\t{:10}\t{:20}\t{:20}\t{:20}\t{:20}"
    print(tplt.format("排名","电影名称","评分","导演","主演","评价","简介",chr(12288)))
    for t in ulist:
        count = count + 1
        print(tplt.format(count,t[0],t[1],t[2],t[3],t[4],t[5],chr(12288)))



def main():
    path = "F://DouBan.txt"
    tinfo = []
    url = 'https://movie.douban.com/top250'
    html = getHTMLText(url)
    paserHTML(tinfo,html,path)
    printDouban(tinfo)
main()