Python 27 - BeautifulSoup and Tables - python-2.7

Question

I have this source:
<tr id="bitstampUSD">
<td class="arrow" change="up" latest_trade="1363480722">
<span class="down">▼</span>
</td>
<td class="symbol">
<nobr>
bitstampUSD
</nobr>
<span class="sub">USD (SEPA converted)</span>
</td>
<td>46.74
<span class="sub">41 min ago</span>
</td>
<td class="minichart break">
<span volume="**whole heaps of number here that I want**"
print="**more numbers I want**"
avg="**more numbers I want**"
class="marketsparkline"></span>
</td>
<td>**36.39**
<span class="sub change">**10.35 28.46%**</span>
</td>
<td>**141,043.10**
<span class="sub">**5,132,052.22 USD**</span>
</td>
<td>**25.25**
<span class="sub">**46.58** (24h)</span>
</td>
<td>**49.17**
<span class="sub">47 (24h)</span>
</td>
<td class="break">**46.7**</td>
<td>**46.74**</td>
<td class="break">**46.78**
<span class="sub change">-0.04 -0.09%</span>
</td>
<td>**819.54**
<span class="sub">**38,340.96** USD</span>
</td>
</tr>
So I want to get the data in bold. (Well, it's supposed to be in bold, I guess the code tags stop that from happening. The data inside two asterisks.
I managed to figure out how to get the bits in code which I didn't include here, because it was inside the classes. But here, some of it is outside the classes so I don't know how to grab it.
It may help to look at the entire source, if you want http://bitcoincharts.com/markets/
It's laid out differently than other table code I've seen before.

Answer 1

Well, this outputs a bit more than you requested, but should get you started:
soup = BeautifulSoup(f)
for td in soup.find_all('td', class_='minichart break'):
avg = td.span['avg']
print_ = td.span['print']
volume = td.span['volume']
print avg, print_, volume
for td in soup.find_all('td'):
print 'TD', td.text.split()
On your example I obtain:
**more numbers I want** **more numbers I want** **whole heaps of number here that I want**
[u'\u25bc']
[u'bitstampUSD', u'USD', u'(SEPA', u'converted)']
[u'46.74', u'41', u'min', u'ago']
[]
[u'**36.39**', u'**10.35', u'28.46%**']
[u'**141,043.10**', u'**5,132,052.22', u'USD**']
[u'**25.25**', u'**46.58**', u'(24h)']
[u'**49.17**', u'47', u'(24h)']
[u'**46.7**']
[u'**46.74**']
[u'**46.78**', u'-0.04', u'-0.09%']
[u'**819.54**', u'**38,340.96**', u'USD']