以前讲过利用phantomjs做爬虫抓网页 https://www.jb51.net/article/55789.htm 是配合选择器做的
利用 beautifulSoup(文档 :http://www.crummy.com/software/BeautifulSoup/bs4/doc/)这个python模块,可以很轻松的抓取网页内容
# coding=utf-8
import urllib
from bs4 import BeautifulSoup
url ='http://www.baidu.com/s'
values ={'wd':'网球'}
encoded_param = urllib.urlencode(values)
full_url = url +'"codetitle">复制代码 代码如下:
soup = BeautifulSoup('<b class="boldest">Extremely bold</b>')
tag = soup.b
type(tag)
# <class 'bs4.element.Tag'>
属性可以使用attr拿到,结果是字典
复制代码 代码如下:
tag.attrs
# {u'class': u'boldest'}
或者直接tag.class取属性也可。
也可以自由操作属性
tag['class'] = 'verybold'
tag['id'] = 1
tag
# <blockquote class="verybold" id="1">Extremely bold</blockquote>
del tag['class']
del tag['id']
tag
# <blockquote>Extremely bold</blockquote>
tag['class']
# KeyError: 'class'
print(tag.get('class'))
# None
还可以随便操作,查找dom元素,比如下面的例子
1.构建一份文档
html_doc = """
<html><head><title>The Dormouse's story</title></head>
<p><b>The Dormouse's story</b></p>
<p>Once upon a time there were three little sisters; and their names were
<a href="http://example.com/elsie" id="link1">Elsie</a>,
<a href="http://example.com/lacie" id="link2">Lacie</a> and
<a href="http://example.com/tillie" id="link3">Tillie</a>;
and they lived at the bottom of a well.</p>
<p>...</p>
"""
from bs4 import BeautifulSoup
soup = BeautifulSoup(html_doc)
2.各种搞
soup.head
# <head><title>The Dormouse's story</title></head>
soup.title
# <title>The Dormouse's story</title>
soup.body.b
# <b>The Dormouse's story</b>
soup.a
# <a class="sister" href="http://example.com/elsie" id="link1">Elsie</a>
soup.find_all('a')
# [<a class="sister" href="http://example.com/elsie" id="link1">Elsie</a>,
# <a class="sister" href="http://example.com/lacie" id="link2">Lacie</a>,
# <a class="sister" href="http://example.com/tillie" id="link3">Tillie</a>]
head_tag = soup.head
head_tag
# <head><title>The Dormouse's story</title></head>
head_tag.contents
[<title>The Dormouse's story</title>]
title_tag = head_tag.contents[0]
title_tag
# <title>The Dormouse's story</title>
title_tag.contents
# [u'The Dormouse's story']
len(soup.contents)
# 1
soup.contents[0].name
# u'html'
text = title_tag.contents[0]
text.contents
for child in title_tag.children:
print(child)
head_tag.contents
# [<title>The Dormouse's story</title>]
for child in head_tag.descendants:
print(child)
# <title>The Dormouse's story</title>
# The Dormouse's story
len(list(soup.children))
# 1
len(list(soup.descendants))
# 25
title_tag.string
# u'The Dormouse's story'
标签:
beautifulSoup,爬虫
免责声明:本站文章均来自网站采集或用户投稿,网站不提供任何软件下载或自行开发的软件!
如有用户或公司发现本站内容信息存在侵权行为,请邮件告知! 858582#qq.com
暂无“python利用beautifulSoup实现爬虫”评论...
更新动态
2025年10月29日
2025年10月29日
- 小骆驼-《草原狼2(蓝光CD)》[原抓WAV+CUE]
- 群星《欢迎来到我身边 电影原声专辑》[320K/MP3][105.02MB]
- 群星《欢迎来到我身边 电影原声专辑》[FLAC/分轨][480.9MB]
- 雷婷《梦里蓝天HQⅡ》 2023头版限量编号低速原抓[WAV+CUE][463M]
- 群星《2024好听新歌42》AI调整音效【WAV分轨】
- 王思雨-《思念陪着鸿雁飞》WAV
- 王思雨《喜马拉雅HQ》头版限量编号[WAV+CUE]
- 李健《无时无刻》[WAV+CUE][590M]
- 陈奕迅《酝酿》[WAV分轨][502M]
- 卓依婷《化蝶》2CD[WAV+CUE][1.1G]
- 群星《吉他王(黑胶CD)》[WAV+CUE]
- 齐秦《穿乐(穿越)》[WAV+CUE]
- 发烧珍品《数位CD音响测试-动向效果(九)》【WAV+CUE】
- 邝美云《邝美云精装歌集》[DSF][1.6G]
- 吕方《爱一回伤一回》[WAV+CUE][454M]