Extracting data from HTML table

Question

A Python solution using BeautifulSoup4 (Edit: with proper skipping. Edit3: Using class="details" to select the 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

The result looks like this:

[[(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: To produce the desired output, use something like this:

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

Result:

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

Use 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

Here is the top answer, adapted for Python3 compatibility, and improved by stripping whitespace in cells:

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)

Assuming your html code is stored in a mycode.html file, here is a bash way:

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

note: the output is not perfectly aligned

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>

output as follows:

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

A Python solution that uses only the standard library (takes advantage of the fact that the HTML happens to be well-formed XML). More than one row of data can be handled.

(Tested with Python 2.6 and 2.7. The question was updated saying that the OP uses Python 2.4, so this answer may not be very useful in this case. ElementTree was added in Python 2.5)

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)

Output:

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