从HTML表中提取数据

时间:2012-08-03 06:38:49

标签: python linux perl bash

我正在寻找一种在linux shell环境中从HTML获取某些信息的方法。

这是我感兴趣的一点:

<table class="details" border="0" cellpadding="5" cellspacing="2" width="95%">
  <tr valign="top">
    <th>Tests</th>
    <th>Failures</th>
    <th>Success Rate</th>
    <th>Average Time</th>
    <th>Min Time</th>
    <th>Max Time</th>
  </tr>
  <tr valign="top" class="Failure">
    <td>103</td>
    <td>24</td>
    <td>76.70%</td>
    <td>71 ms</td>
    <td>0 ms</td>
    <td>829 ms</td>
  </tr>
</table>

我想存储shell变量或在从上面的html中提取的键值对中回显这些变量。示例:

Tests         : 103
Failures      : 24
Success Rate  : 76.70 %
and so on..

目前我可以做的是创建一个java程序,它将使用sax解析器或hs解析器(如jsoup)来提取此信息。

但是在这里使用java似乎是在你想要执行的“wrapper”脚本中包含runnable jar的开销。

我确信必须有“shell”语言可以做同样的事情,即perl,python,bash等。

我的问题是我对这些没有经验,有人可以帮我解决这个“相当容易”的问题

快速更新:

我忘了提到我在.html文档中有更多的表和更多行感到抱歉(清晨)。

更新#2:

因为我没有超级用户访问权限,所以试图像这样安装Bsoup:

$ wget http://www.crummy.com/software/BeautifulSoup/bs4/download/4.0/beautifulsoup4-4.1.0.tar.gz
$ tar -zxvf beautifulsoup4-4.1.0.tar.gz
$ cp -r beautifulsoup4-4.1.0/bs4 .
$ vi htmlParse.py # (paste code from ) Tichodromas' answer, just in case this (http://pastebin.com/4Je11Y9q) is what I pasted
$ run file (python htmlParse.py)

错误:

$ python htmlParse.py
Traceback (most recent call last):
  File "htmlParse.py", line 1, in ?
    from bs4 import BeautifulSoup
  File "/home/gdd/setup/py/bs4/__init__.py", line 29
    from .builder import builder_registry
         ^
SyntaxError: invalid syntax

更新#3:

运行Tichodromas的回答得到这个错误:

Traceback (most recent call last):
  File "test.py", line 27, in ?
    headings = [th.get_text() for th in table.find("tr").find_all("th")]
TypeError: 'NoneType' object is not callable

任何想法?

7 个答案:

答案 0 :(得分:42)

使用BeautifulSoup4的Python解决方案(修改:并正确跳过。编辑3:使用class="details"选择table) :

from bs4 import BeautifulSoup

html = """
  <table class="details" border="0" cellpadding="5" cellspacing="2" width="95%">
    <tr valign="top">
      <th>Tests</th>
      <th>Failures</th>
      <th>Success Rate</th>
      <th>Average Time</th>
      <th>Min Time</th>
      <th>Max Time</th>
   </tr>
   <tr valign="top" class="Failure">
     <td>103</td>
     <td>24</td>
     <td>76.70%</td>
     <td>71 ms</td>
     <td>0 ms</td>
     <td>829 ms</td>
  </tr>
</table>"""

soup = BeautifulSoup(html)
table = soup.find("table", attrs={"class":"details"})

# The first tr contains the field names.
headings = [th.get_text() for th in table.find("tr").find_all("th")]

datasets = []
for row in table.find_all("tr")[1:]:
    dataset = zip(headings, (td.get_text() for td in row.find_all("td")))
    datasets.append(dataset)

print datasets

结果如下:

[[(u'Tests', u'103'),
  (u'Failures', u'24'),
  (u'Success Rate', u'76.70%'),
  (u'Average Time', u'71 ms'),
  (u'Min Time', u'0 ms'),
  (u'Max Time', u'829 ms')]]

Edit2:要生成所需的输出,请使用以下内容:

for dataset in datasets:
    for field in dataset:
        print "{0:<16}: {1}".format(field[0], field[1])

结果:

Tests           : 103
Failures        : 24
Success Rate    : 76.70%
Average Time    : 71 ms
Min Time        : 0 ms
Max Time        : 829 ms

答案 1 :(得分:2)

假设你的html代码存储在mycode.html文件中,这是一种bash方式:

paste -d: <(grep '<th>' mycode.html | sed -e 's,</*th>,,g') <(grep '<td>' mycode.html | sed -e 's,</*td>,,g')

注意:输出未完全对齐

答案 2 :(得分:2)

这是最适合Python3兼容性的答案,并通过剥离单元格中的空白进行了改进:

from bs4 import BeautifulSoup

html = """
  <table class="details" border="0" cellpadding="5" cellspacing="2" width="95%">
    <tr valign="top">
      <th>Tests</th>
      <th>Failures</th>
      <th>Success Rate</th>
      <th>Average Time</th>
      <th>Min Time</th>
      <th>Max Time</th>
   </tr>
   <tr valign="top" class="Failure">
     <td>103</td>
     <td>24</td>
     <td>76.70%</td>
     <td>71 ms</td>
     <td>0 ms</td>
     <td>829 ms</td>
  </tr>
</table>"""

soup = BeautifulSoup(s, 'html.parser')
table = soup.find("table")

# The first tr contains the field names.
headings = [th.get_text().strip() for th in table.find("tr").find_all("th")]

print(headings)

datasets = []
for row in table.find_all("tr")[1:]:
    dataset = dict(zip(headings, (td.get_text() for td in row.find_all("td"))))
    datasets.append(dataset)

print(datasets)

答案 3 :(得分:1)

undef $/;
$text = <DATA>;

@tabs = $text =~ m!<table.*?>(.*?)</table>!gms;
for (@tabs) {
    @th = m!<th>(.*?)</th>!gms;
    @td = m!<td>(.*?)</td>!gms;
}
for $i (0..$#th) {
    printf "%-16s\t: %s\n", $th[$i], $td[$i];
}

__DATA__
<table class="details" border="0" cellpadding="5" cellspacing="2" width="95%">
<tr valign="top">
<th>Tests</th>
<th>Failures</th>
<th>Success Rate</th>
<th>Average Time</th>
<th>Min Time</th>
<th>Max Time</th>
</tr>
<tr valign="top" class="Failure">
<td>103</td>
<td>24</td>
<td>76.70%</td>
<td>71 ms</td>
<td>0 ms</td>
<td>829 ms</td>
</tr>
</table>

输出如下:

Tests               : 103
Failures            : 24
Success Rate        : 76.70%
Average Time        : 71 ms
Min Time            : 0 ms
Max Time            : 829 ms

答案 4 :(得分:1)

仅使用标准库的Python解决方案(利用HTML恰好是格式良好的XML这一事实)。可以处理多行数据。

(使用Python 2.6和2.7进行测试。问题已更新,说OP使用Python 2.4,因此在这种情况下这个答案可能不太有用。在Python 2.5中添加了ElementTree)

from xml.etree.ElementTree import fromstring

HTML = """
<table class="details" border="0" cellpadding="5" cellspacing="2" width="95%">
  <tr valign="top">
    <th>Tests</th>
    <th>Failures</th>
    <th>Success Rate</th>
    <th>Average Time</th>
    <th>Min Time</th>
    <th>Max Time</th>
  </tr>
  <tr valign="top" class="Failure">
    <td>103</td>
    <td>24</td>
    <td>76.70%</td>
    <td>71 ms</td>
    <td>0 ms</td>
    <td>829 ms</td>
  </tr>
  <tr valign="top" class="whatever">
    <td>A</td>
    <td>B</td>
    <td>C</td>
    <td>D</td>
    <td>E</td>
    <td>F</td>
  </tr>
</table>"""

tree = fromstring(HTML)
rows = tree.findall("tr")
headrow = rows[0]
datarows = rows[1:]

for num, h in enumerate(headrow):
    data = ", ".join([row[num].text for row in datarows])
    print "{0:<16}: {1}".format(h.text, data)

输出:

Tests           : 103, A
Failures        : 24, B
Success Rate    : 76.70%, C
Average Time    : 71 ms, D
Min Time        : 0 ms, E
Max Time        : 829 ms, F

答案 5 :(得分:1)

下面是我在python 2.7上测试的基于python正则表达式的解决方案。它并不依赖于xml模块 - 因此,如果xml没有完全成形,它将起作用。

import re
# input args: html string
# output: tables as a list, column max length
def extract_html_tables(html):
  tables=[]
  maxlen=0
  rex1=r'<table.*?/table>'
  rex2=r'<tr.*?/tr>'
  rex3=r'<(td|th).*?/(td|th)>'
  s = re.search(rex1,html,re.DOTALL)
  while s:
    t = s.group()  # the table
    s2 = re.search(rex2,t,re.DOTALL)
    table = []
    while s2:
      r = s2.group() # the row 
      s3 = re.search(rex3,r,re.DOTALL)
      row=[]
      while s3:
        d = s3.group() # the cell
        #row.append(strip_tags(d).strip() )
        row.append(d.strip() )

        r = re.sub(rex3,'',r,1,re.DOTALL)
        s3 = re.search(rex3,r,re.DOTALL)

      table.append( row )
      if maxlen<len(row):
        maxlen = len(row)

      t = re.sub(rex2,'',t,1,re.DOTALL)
      s2 = re.search(rex2,t,re.DOTALL)

    html = re.sub(rex1,'',html,1,re.DOTALL)
    tables.append(table)
    s = re.search(rex1,html,re.DOTALL)
  return tables, maxlen

html = """
  <table class="details" border="0" cellpadding="5" cellspacing="2" width="95%">
    <tr valign="top">
      <th>Tests</th>
      <th>Failures</th>
      <th>Success Rate</th>
      <th>Average Time</th>
      <th>Min Time</th>
      <th>Max Time</th>
   </tr>
   <tr valign="top" class="Failure">
     <td>103</td>
     <td>24</td>
     <td>76.70%</td>
     <td>71 ms</td>
     <td>0 ms</td>
     <td>829 ms</td>
  </tr>
</table>"""
print extract_html_tables(html)

答案 6 :(得分:1)

使用pandas.read_html

import pandas as pd
html_tables = pd.read_html('resources/test.html')
df = html_tables[0]
df.T # transpose to align
                   0
Tests            103
Failures          24
Success Rate  76.70%
Average Time   71 ms