Python爬虫包BeautifulSoup实例(三)

yipeiwu_com5年前Python爬虫

一步一步构建一个爬虫实例,抓取糗事百科的段子

先不用beautifulsoup包来进行解析

第一步,访问网址并抓取源码

# -*- coding: utf-8 -*-
# @Author: HaonanWu
# @Date:  2016-12-22 16:16:08
# @Last Modified by:  HaonanWu
# @Last Modified time: 2016-12-22 20:17:13

import urllib
import urllib2
import re
import os

if __name__ == '__main__':
  # 访问网址并抓取源码
  url = 'http://www.qiushibaike.com/textnew/page/1/?s=4941357'
  user_agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36'
  headers = {'User-Agent':user_agent}
  try:
    request = urllib2.Request(url = url, headers = headers)
    response = urllib2.urlopen(request)
    content = response.read()
  except urllib2.HTTPError as e:
    print e
    exit()
  except urllib2.URLError as e:
    print e
    exit()
  print content.decode('utf-8')

第二步,利用正则表达式提取信息

首先先观察源码中,你需要的内容的位置以及如何识别
然后用正则表达式去识别读取
注意正则表达式中的 . 是不能匹配\n的,所以需要设置一下匹配模式。

# -*- coding: utf-8 -*-
# @Author: HaonanWu
# @Date:  2016-12-22 16:16:08
# @Last Modified by:  HaonanWu
# @Last Modified time: 2016-12-22 20:17:13

import urllib
import urllib2
import re
import os

if __name__ == '__main__':
  # 访问网址并抓取源码
  url = 'http://www.qiushibaike.com/textnew/page/1/?s=4941357'
  user_agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36'
  headers = {'User-Agent':user_agent}
  try:
    request = urllib2.Request(url = url, headers = headers)
    response = urllib2.urlopen(request)
    content = response.read()
  except urllib2.HTTPError as e:
    print e
    exit()
  except urllib2.URLError as e:
    print e
    exit()

  regex = re.compile('<div class="content">.*?<span>(.*?)</span>.*?</div>', re.S)
  items = re.findall(regex, content)

  # 提取数据
  # 注意换行符,设置 . 能够匹配换行符
  for item in items:
    print item

第三步,修正数据并保存到文件中

# -*- coding: utf-8 -*-
# @Author: HaonanWu
# @Date:  2016-12-22 16:16:08
# @Last Modified by:  HaonanWu
# @Last Modified time: 2016-12-22 21:41:32

import urllib
import urllib2
import re
import os

if __name__ == '__main__':
  # 访问网址并抓取源码
  url = 'http://www.qiushibaike.com/textnew/page/1/?s=4941357'
  user_agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36'
  headers = {'User-Agent':user_agent}
  try:
    request = urllib2.Request(url = url, headers = headers)
    response = urllib2.urlopen(request)
    content = response.read()
  except urllib2.HTTPError as e:
    print e
    exit()
  except urllib2.URLError as e:
    print e
    exit()

  regex = re.compile('<div class="content">.*?<span>(.*?)</span>.*?</div>', re.S)
  items = re.findall(regex, content)

  # 提取数据
  # 注意换行符,设置 . 能够匹配换行符
  path = './qiubai'
  if not os.path.exists(path):
    os.makedirs(path)
  count = 1
  for item in items:
    #整理数据,去掉\n,将<br/>换成\n
    item = item.replace('\n', '').replace('<br/>', '\n')
    filepath = path + '/' + str(count) + '.txt'
    f = open(filepath, 'w')
    f.write(item)
    f.close()
    count += 1

第四步,将多个页面下的内容都抓取下来

# -*- coding: utf-8 -*-
# @Author: HaonanWu
# @Date:  2016-12-22 16:16:08
# @Last Modified by:  HaonanWu
# @Last Modified time: 2016-12-22 20:17:13

import urllib
import urllib2
import re
import os

if __name__ == '__main__':
  # 访问网址并抓取源码
  path = './qiubai'
  if not os.path.exists(path):
    os.makedirs(path)
  user_agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36'
  headers = {'User-Agent':user_agent}
  regex = re.compile('<div class="content">.*?<span>(.*?)</span>.*?</div>', re.S)
  count = 1
  for cnt in range(1, 35):
    print '第' + str(cnt) + '轮'
    url = 'http://www.qiushibaike.com/textnew/page/' + str(cnt) + '/?s=4941357'
    try:
      request = urllib2.Request(url = url, headers = headers)
      response = urllib2.urlopen(request)
      content = response.read()
    except urllib2.HTTPError as e:
      print e
      exit()
    except urllib2.URLError as e:
      print e
      exit()
    # print content

    # 提取数据
    # 注意换行符,设置 . 能够匹配换行符
    items = re.findall(regex, content)

    # 保存信息
    for item in items:
      #  print item
      #整理数据,去掉\n,将<br/>换成\n
      item = item.replace('\n', '').replace('<br/>', '\n')
      filepath = path + '/' + str(count) + '.txt'
      f = open(filepath, 'w')
      f.write(item)
      f.close()
      count += 1

  print '完成'

使用BeautifulSoup对源码进行解析

# -*- coding: utf-8 -*-
# @Author: HaonanWu
# @Date:  2016-12-22 16:16:08
# @Last Modified by:  HaonanWu
# @Last Modified time: 2016-12-22 21:34:02

import urllib
import urllib2
import re
import os
from bs4 import BeautifulSoup

if __name__ == '__main__':
  url = 'http://www.qiushibaike.com/textnew/page/1/?s=4941357'
  user_agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36'
  headers = {'User-Agent':user_agent}
  request = urllib2.Request(url = url, headers = headers)
  response = urllib2.urlopen(request)
  # print response.read()
  soup_packetpage = BeautifulSoup(response, 'lxml')
  items = soup_packetpage.find_all("div", class_="content")

  for item in items:
    try:
      content = item.span.string
    except AttributeError as e:
      print e
      exit()

    if content:
      print content + "\n"

这是用BeautifulSoup去抓取书本以及其价格的代码
可以通过对比得出到bs4对标签的读取以及标签内容的读取
(因为我自己也没有学到这一部分,目前只能依葫芦画瓢地写)

# -*- coding: utf-8 -*-
# @Author: HaonanWu
# @Date:  2016-12-22 20:37:38
# @Last Modified by:  HaonanWu
# @Last Modified time: 2016-12-22 21:27:30
import urllib2
import urllib
import re 

from bs4 import BeautifulSoup 


url = "https://www.packtpub.com/all"
try:
  html = urllib2.urlopen(url) 
except urllib2.HTTPError as e:
  print e
  exit()

soup_packtpage = BeautifulSoup(html, 'lxml') 
all_book_title = soup_packtpage.find_all("div", class_="book-block-title") 

price_regexp = re.compile(u"\s+\$\s\d+\.\d+") 

for book_title in all_book_title: 
  try:
    print "Book's name is " + book_title.string.strip()
  except AttributeError as e:
    print e
    exit()
  book_price = book_title.find_next(text=price_regexp) 
  try:
    print "Book's price is "+ book_price.strip()
  except AttributeError as e:
    print e
    exit()
  print ""

以上全部为本篇文章的全部内容,希望对大家的学习有所帮助,也希望大家多多支持【听图阁-专注于Python设计】。

相关文章

选择Python写网络爬虫的优势和理由

选择Python写网络爬虫的优势和理由

什么是网络爬虫? 网络爬虫是一个自动提取网页的程序,它为搜索引擎从万维网上下载网页,是搜索引擎的重要组成。传统爬虫从一个或若干初始网页的URL开始,获得初始网页上的URL,在抓取网页的过...

windows7 32、64位下python爬虫框架scrapy环境的搭建方法

windows7 32、64位下python爬虫框架scrapy环境的搭建方法

适用于python 2.7 64位安装 一、操作系统:WIN7 64位 二、python版本:2.7 64位(scrapy目前不支持3.x) 不确定位数的,看图 三、安装相关软件(可以...

Python urllib、urllib2、httplib抓取网页代码实例

使用urllib2,太强大了 试了下用代理登陆拉取cookie,跳转抓图片...... 文档:http://docs.python.org/library/urllib2.html 直接...

Python探索之爬取电商售卖信息代码示例

网络爬虫(又被称为网页蜘蛛,网络机器人,在FOAF社区中间,更经常的称为网页追逐者),是一种按照一定的规则,自动的抓取万维网信息的程序或者脚本。 下面有一个示例代码,分享给大家: #...

如何准确判断请求是搜索引擎爬虫(蜘蛛)发出的请求

如何准确判断请求是搜索引擎爬虫(蜘蛛)发出的请求

网站经常会被各种爬虫光顾,有的是搜索引擎爬虫,有的不是,通常情况下这些爬虫都有UserAgent,而我们知道UserAgent是可以伪装的,UserAgent的本质是Http请求头中的一...