BeautifulSoup - il testo di raschiamento dalla tabella non funziona

Desidero dati di scarto dal sito http://www.x-rates.com/table/?from=USD&amount=1 (è il sito di cambio valuta).BeautifulSoup - il testo di raschiamento dalla tabella non funziona

Voglio ottenere la parola "euro" dalla tabella, ma ottengo la lista vuota. Qui è il mio codice:

from bs4 import BeautifulSoup 

import requests 

res = requests.get('http://www.x-rates.com/table/?from=USD&amount=1') 
soup = bs4.BeautifulSoup(res.text, 'html.parser') 
hehe = soup.select('table.ratesTable:nth-child(4) > tbody:nth-child(2) > tr:nth-child(1) > td:nth-child(1)') 
print hehe

Ho provato anche questo:

hehe = soup.select('table.ratesTable + table.ratesTable + table.ratesTable + table.ratesTable table.ratesTable + tbody + tbody + tbody + tr + tr + td + td')

ma ancora niente. Cosa dovrei cambiare?

fonte

2016-02-25 znawca

cosa pensavi 'hehe = soup.select ('table.ratesTable + table.ratesTable + table.ratesTable + table.ratesTable table.ratesTable + tbody + tbody + tbody + tr + tr + td + td')' stava per arrivare? –

solo perché ho visto qualcosa del genere qui http://stackoverflow.com/questions/24720442/selecting-second-child-in-beautiful-soup-with-soup-select – znawca

Ci sono solo due tabelle con il Tables di classe, il tabella con solo la classe ratesTable il tavolo con tablesorter e ratesTableand –

Panda è molto meglio se si desidera raschiare i tavoli. Per il vostro caso d'uso, abbiamo solo un paio di righe di codice:

import pandas as pd 
df_all = pd.read_html('http://www.x-rates.com/table/?from=USD&amount=1',header=0,attrs={'class':"tablesorter ratesTable"}) 
df = pd.concat(df_all).reset_index(drop=True) 
df.columns = ['currency','to_usd','inv_usd'] 
df 

    currency to_usd inv_usd 
0 Argentine Peso 15.358513 0.065110 
1 Australian Dollar 1.388332 0.720289 
2 Bahraini Dinar 0.376989 2.652594 
3 Botswana Pula 11.219075 0.089134 
4 Brazilian Real 3.927585 0.254609 
...

Se vi interessa soltanto euro, si può ottenere che fila dal dataframe con

df[df.currency=='Euro'] 

    currency to_usd inv_usd 
14 Euro 0.908652 1.100532

Inoltre, si può fare:

df[df.currency=='Euro'].to_usd.values[0] 

0.908652

In alternativa, è possibile accedere alla tabella html con bs utilizzando il seguente codice. Ma alla fine, vorrai coinvolgerlo in qualcosa come i panda per elaborarlo, quindi suggerirei di andare con il metodo sopra.

from bs4 import BeautifulSoup 
import requests 

page = requests.get('http://www.x-rates.com/table/?from=USD&amount=1') 

soup = BeautifulSoup(page.content, 'html.parser') 

tab_html = soup.find_all('table', {'class':"tablesorter ratesTable"}) 
tab_html

fonte

2016-02-25 14:02:50

Se si desidera utilizzare selezionare è possibile utilizzare l'uso nth-of-type che è supportato in BS4 per tirare il primo td nella tabella che è dove il primo Euro appare:

soup = BeautifulSoup(res.text, 'html.parser') 

hee = soup.select(".ratesTable td:nth-of-type(1)") 
print(hee)

uscita:

[<td>Euro</td>]

Se si voleva essere più precisi si potrebbe usare table.class ..:

print(soup.select("table.ratesTable td:nth-of-type(1)"))

E per ottenere la seconda Euro:

# 16th row, first td 
print(soup.select(".tablesorter.ratesTable tr:nth-of-type(16) td:nth-of-type(1)"))

uscita:

[<td>Euro</td>]

oppure usando find:

soup = BeautifulSoup(res.text, 'html.parser') 
table = soup.find("table",{"class":"ratesTable"}) 
print(table.td.text) 
print(table)

uscita:

Euro

Se hai usato soup.select("table.ratesTable:nth-child(4)") vedrai che non restituisce nulla, quindi il tuo css è sbagliato.

per ottenere tutti i dati:

# two tables 
tables = soup.select(".ratesTable") 
table_data = {} 
cols = [th.text for th in tables[0].find_all("th")] 
for table in tables: 
    for tr in table.find_all("tr"): 
     data = [td.text for td in tr.find_all("td")] 
     if data: 
      table_data[data[0]] = dict(zip(cols, data)) 


from pprint import pprint as pp 

pp(table_data)

uscita:

{u'Argentine Peso': {u'1.00 USD': u'15.358344', 
        u'US Dollar': u'Argentine Peso', 
        u'inv. 1.00 USD': u'0.065111'}, 
u'Australian Dollar': {u'1.00 USD': u'1.388393', 
         u'US Dollar': u'Australian Dollar', 
         u'inv. 1.00 USD': u'0.720257'}, 
u'Bahraini Dinar': {u'1.00 USD': u'0.376989', 
        u'US Dollar': u'Bahraini Dinar', 
        u'inv. 1.00 USD': u'2.652595'}, 
u'Botswana Pula': {u'1.00 USD': u'11.219075', 
        u'US Dollar': u'Botswana Pula', 
        u'inv. 1.00 USD': u'0.089134'}, 
u'Brazilian Real': {u'1.00 USD': u'3.927908', 
        u'US Dollar': u'Brazilian Real', 
        u'inv. 1.00 USD': u'0.254588'}, 
u'British Pound': {u'1.00 USD': u'0.716854', 
        u'US Dollar': u'British Pound', 
        u'inv. 1.00 USD': u'1.394983'}, 
u'Bruneian Dollar': {u'1.00 USD': u'1.403737', 
         u'US Dollar': u'Bruneian Dollar', 
         u'inv. 1.00 USD': u'0.712384'}, 
u'Bulgarian Lev': {u'1.00 USD': u'1.771194', 
        u'US Dollar': u'Bulgarian Lev', 
        u'inv. 1.00 USD': u'0.564591'}, 
u'Canadian Dollar': {u'1.00 USD': u'1.362152', 
         u'US Dollar': u'Canadian Dollar', 
         u'inv. 1.00 USD': u'0.734132'}, 
u'Chilean Peso': {u'1.00 USD': u'689.453282', 
        u'US Dollar': u'Chilean Peso', 
        u'inv. 1.00 USD': u'0.001450'}, 
u'Chinese Yuan Renminbi': {u'1.00 USD': u'6.532590', 
          u'US Dollar': u'Chinese Yuan Renminbi', 
          u'inv. 1.00 USD': u'0.153079'}, 
u'Colombian Peso': {u'1.00 USD': u'3321.597022', 
        u'US Dollar': u'Colombian Peso', 
        u'inv. 1.00 USD': u'0.000301'}, 
u'Croatian Kuna': {u'1.00 USD': u'6.926768', 
        u'US Dollar': u'Croatian Kuna', 
        u'inv. 1.00 USD': u'0.144367'}, 
u'Czech Koruna': {u'1.00 USD': u'24.605774', 
        u'US Dollar': u'Czech Koruna', 
        u'inv. 1.00 USD': u'0.040641'}, 
u'Danish Krone': {u'1.00 USD': u'6.783374', 
        u'US Dollar': u'Danish Krone', 
        u'inv. 1.00 USD': u'0.147419'}, 
u'Emirati Dirham': {u'1.00 USD': u'3.672956', 
        u'US Dollar': u'Emirati Dirham', 
        u'inv. 1.00 USD': u'0.272260'}, 
u'Euro': {u'1.00 USD': u'0.909064', 
      u'US Dollar': u'Euro', 
      u'inv. 1.00 USD': u'1.100033'}, 
u'Hong Kong Dollar': {u'1.00 USD': u'7.770873', 
         u'US Dollar': u'Hong Kong Dollar', 
         u'inv. 1.00 USD': u'0.128686'}, 
u'Hungarian Forint': {u'1.00 USD': u'282.628733', 
         u'US Dollar': u'Hungarian Forint', 
         u'inv. 1.00 USD': u'0.003538'}, 
u'Icelandic Krona': {u'1.00 USD': u'129.157149', 
         u'US Dollar': u'Icelandic Krona', 
         u'inv. 1.00 USD': u'0.007743'}, 
u'Indian Rupee': {u'1.00 USD': u'68.885961', 
        u'US Dollar': u'Indian Rupee', 
        u'inv. 1.00 USD': u'0.014517'}, 
u'Indonesian Rupiah': {u'1.00 USD': u'13420.180741', 
         u'US Dollar': u'Indonesian Rupiah', 
         u'inv. 1.00 USD': u'0.000075'}, 
u'Iranian Rial': {u'1.00 USD': u'30193.236727', 
        u'US Dollar': u'Iranian Rial', 
        u'inv. 1.00 USD': u'0.000033'}, 
u'Israeli Shekel': {u'1.00 USD': u'3.907342', 
        u'US Dollar': u'Israeli Shekel', 
        u'inv. 1.00 USD': u'0.255928'}, 
u'Japanese Yen': {u'1.00 USD': u'112.854369', 
        u'US Dollar': u'Japanese Yen', 
        u'inv. 1.00 USD': u'0.008861'}, 
u'Kazakhstani Tenge': {u'1.00 USD': u'349.948907', 
         u'US Dollar': u'Kazakhstani Tenge', 
         u'inv. 1.00 USD': u'0.002858'}, 
u'Kuwaiti Dinar': {u'1.00 USD': u'0.300490', 
        u'US Dollar': u'Kuwaiti Dinar', 
        u'inv. 1.00 USD': u'3.327899'}, 
u'Latvian Lat': {u'1.00 USD': u'0.638890', 
        u'US Dollar': u'Latvian Lat', 
        u'inv. 1.00 USD': u'1.565215'}, 
u'Libyan Dinar': {u'1.00 USD': u'1.389216', 
        u'US Dollar': u'Libyan Dinar', 
        u'inv. 1.00 USD': u'0.719831'}, 
u'Lithuanian Litas': {u'1.00 USD': u'3.138815', 
         u'US Dollar': u'Lithuanian Litas', 
         u'inv. 1.00 USD': u'0.318592'}, 
u'Malaysian Ringgit': {u'1.00 USD': u'4.215841', 
         u'US Dollar': u'Malaysian Ringgit', 
         u'inv. 1.00 USD': u'0.237201'}, 
u'Mauritian Rupee': {u'1.00 USD': u'35.959724', 
         u'US Dollar': u'Mauritian Rupee', 
         u'inv. 1.00 USD': u'0.027809'}, 
u'Mexican Peso': {u'1.00 USD': u'18.099833', 
        u'US Dollar': u'Mexican Peso', 
        u'inv. 1.00 USD': u'0.055249'}, 
u'Nepalese Rupee': {u'1.00 USD': u'109.959953', 
        u'US Dollar': u'Nepalese Rupee', 
        u'inv. 1.00 USD': u'0.009094'}, 
u'New Zealand Dollar': {u'1.00 USD': u'1.495957', 
         u'US Dollar': u'New Zealand Dollar', 
         u'inv. 1.00 USD': u'0.668468'}, 
u'Norwegian Krone': {u'1.00 USD': u'8.661961', 
         u'US Dollar': u'Norwegian Krone', 
         u'inv. 1.00 USD': u'0.115447'}, 
u'Omani Rial': {u'1.00 USD': u'0.385000', 
       u'US Dollar': u'Omani Rial', 
       u'inv. 1.00 USD': u'2.597403'}, 
u'Pakistani Rupee': {u'1.00 USD': u'104.604918', 
         u'US Dollar': u'Pakistani Rupee', 
         u'inv. 1.00 USD': u'0.009560'}, 
u'Philippine Peso': {u'1.00 USD': u'47.606650', 
         u'US Dollar': u'Philippine Peso', 
         u'inv. 1.00 USD': u'0.021005'}, 
u'Polish Zloty': {u'1.00 USD': u'3.960685', 
        u'US Dollar': u'Polish Zloty', 
        u'inv. 1.00 USD': u'0.252482'}, 
u'Qatari Riyal': {u'1.00 USD': u'3.641295', 
        u'US Dollar': u'Qatari Riyal', 
        u'inv. 1.00 USD': u'0.274628'}, 
u'Romanian New Leu': {u'1.00 USD': u'4.060863', 
         u'US Dollar': u'Romanian New Leu', 
         u'inv. 1.00 USD': u'0.246253'}, 
u'Russian Ruble': {u'1.00 USD': u'75.913328', 
        u'US Dollar': u'Russian Ruble', 
        u'inv. 1.00 USD': u'0.013173'}, 
u'Saudi Arabian Riyal': {u'1.00 USD': u'3.750501', 
          u'US Dollar': u'Saudi Arabian Riyal', 
          u'inv. 1.00 USD': u'0.266631'}, 
u'Singapore Dollar': {u'1.00 USD': u'1.403737', 
         u'US Dollar': u'Singapore Dollar', 
         u'inv. 1.00 USD': u'0.712384'}, 
u'South African Rand': {u'1.00 USD': u'15.547001', 
         u'US Dollar': u'South African Rand', 
         u'inv. 1.00 USD': u'0.064321'}, 
u'South Korean Won': {u'1.00 USD': u'1238.257908', 
         u'US Dollar': u'South Korean Won', 
         u'inv. 1.00 USD': u'0.000808'}, 
u'Sri Lankan Rupee': {u'1.00 USD': u'144.195067', 
         u'US Dollar': u'Sri Lankan Rupee', 
         u'inv. 1.00 USD': u'0.006935'}, 
u'Swedish Krona': {u'1.00 USD': u'8.530904', 
        u'US Dollar': u'Swedish Krona', 
        u'inv. 1.00 USD': u'0.117221'}, 
u'Swiss Franc': {u'1.00 USD': u'0.994570', 
        u'US Dollar': u'Swiss Franc', 
        u'inv. 1.00 USD': u'1.005460'}, 
u'Taiwan New Dollar': {u'1.00 USD': u'33.188318', 
         u'US Dollar': u'Taiwan New Dollar', 
         u'inv. 1.00 USD': u'0.030131'}, 
u'Thai Baht': {u'1.00 USD': u'35.687352', 
       u'US Dollar': u'Thai Baht', 
       u'inv. 1.00 USD': u'0.028021'}, 
u'Trinidadian Dollar': {u'1.00 USD': u'6.515309', 
         u'US Dollar': u'Trinidadian Dollar', 
         u'inv. 1.00 USD': u'0.153485'}, 
u'Turkish Lira': {u'1.00 USD': u'2.922907', 
        u'US Dollar': u'Turkish Lira', 
        u'inv. 1.00 USD': u'0.342125'}, 
u'Venezuelan Bolivar': {u'1.00 USD': u'6.320083', 
         u'US Dollar': u'Venezuelan Bolivar', 
         u'inv. 1.00 USD': u'0.158226'}}

È possibile strutturare il dict tuttavia si preferisce ma la logica sarà ancora lo stesso.

Se si voleva solo la tablesorter: uscita

# one specific table 
table = soup.select(".tablesorter.ratesTable") 


table_data = {} 
cols = [th.text for th in table[0].find_all("th")] 
for tr in table[0].find_all("tr"): 
     data = [td.text for td in tr.find_all("td")] 
     if data: 
      table_data[data[0]] = dict(zip(cols, data)) 

print(table_data)

{u'Argentine Peso': {u'1.00 USD': u'15.324285', 
        u'US Dollar': u'Argentine Peso', 
        u'inv. 1.00 USD': u'0.065256'}, 
u'Australian Dollar': {u'1.00 USD': u'1.388630', 
         u'US Dollar': u'Australian Dollar', 
         u'inv. 1.00 USD': u'0.720134'}, 
u'Bahraini Dinar': {u'1.00 USD': u'0.376989', 
        u'US Dollar': u'Bahraini Dinar', 
        u'inv. 1.00 USD': u'2.652595'}, 
u'Botswana Pula': {u'1.00 USD': u'11.219075', 
        u'US Dollar': u'Botswana Pula', 
        u'inv. 1.00 USD': u'0.089134'}, 
u'Brazilian Real': {u'1.00 USD': u'3.936188', 
        u'US Dollar': u'Brazilian Real', 
        u'inv. 1.00 USD': u'0.254053'}, 
u'British Pound': {u'1.00 USD': u'0.717464', 
        u'US Dollar': u'British Pound', 
        u'inv. 1.00 USD': u'1.393799'}, 
u'Bruneian Dollar': {u'1.00 USD': u'1.403808', 
         u'US Dollar': u'Bruneian Dollar', 
         u'inv. 1.00 USD': u'0.712348'}, 
u'Bulgarian Lev': {u'1.00 USD': u'1.775921', 
        u'US Dollar': u'Bulgarian Lev', 
        u'inv. 1.00 USD': u'0.563088'}, 
u'Canadian Dollar': {u'1.00 USD': u'1.362506', 
         u'US Dollar': u'Canadian Dollar', 
         u'inv. 1.00 USD': u'0.733942'}, 
u'Chilean Peso': {u'1.00 USD': u'691.510617', 
        u'US Dollar': u'Chilean Peso', 
        u'inv. 1.00 USD': u'0.001446'}, 
u'Chinese Yuan Renminbi': {u'1.00 USD': u'6.533541', 
          u'US Dollar': u'Chinese Yuan Renminbi', 
          u'inv. 1.00 USD': u'0.153056'}, 
u'Colombian Peso': {u'1.00 USD': u'3313.262601', 
        u'US Dollar': u'Colombian Peso', 
        u'inv. 1.00 USD': u'0.000302'}, 
u'Croatian Kuna': {u'1.00 USD': u'6.920610', 
        u'US Dollar': u'Croatian Kuna', 
        u'inv. 1.00 USD': u'0.144496'}, 
u'Czech Koruna': {u'1.00 USD': u'24.583134', 
        u'US Dollar': u'Czech Koruna', 
        u'inv. 1.00 USD': u'0.040678'}, 
u'Danish Krone': {u'1.00 USD': u'6.776307', 
        u'US Dollar': u'Danish Krone', 
        u'inv. 1.00 USD': u'0.147573'}, 
u'Emirati Dirham': {u'1.00 USD': u'3.673148', 
        u'US Dollar': u'Emirati Dirham', 
        u'inv. 1.00 USD': u'0.272246'}, 
u'Euro': {u'1.00 USD': u'0.908120', 
      u'US Dollar': u'Euro', 
      u'inv. 1.00 USD': u'1.101176'}, 
u'Hong Kong Dollar': {u'1.00 USD': u'7.771176', 
         u'US Dollar': u'Hong Kong Dollar', 
         u'inv. 1.00 USD': u'0.128681'}, 
u'Hungarian Forint': {u'1.00 USD': u'282.305073', 
         u'US Dollar': u'Hungarian Forint', 
         u'inv. 1.00 USD': u'0.003542'}, 
u'Icelandic Krona': {u'1.00 USD': u'129.154766', 
         u'US Dollar': u'Icelandic Krona', 
         u'inv. 1.00 USD': u'0.007743'}, 
u'Indian Rupee': {u'1.00 USD': u'68.865641', 
        u'US Dollar': u'Indian Rupee', 
        u'inv. 1.00 USD': u'0.014521'}, 
u'Indonesian Rupiah': {u'1.00 USD': u'13422.938587', 
         u'US Dollar': u'Indonesian Rupiah', 
         u'inv. 1.00 USD': u'0.000074'}, 
u'Iranian Rial': {u'1.00 USD': u'30193.236717', 
        u'US Dollar': u'Iranian Rial', 
        u'inv. 1.00 USD': u'0.000033'}, 
u'Israeli Shekel': {u'1.00 USD': u'3.903987', 
        u'US Dollar': u'Israeli Shekel', 
        u'inv. 1.00 USD': u'0.256148'}, 
u'Japanese Yen': {u'1.00 USD': u'112.709992', 
        u'US Dollar': u'Japanese Yen', 
        u'inv. 1.00 USD': u'0.008872'}, 
u'Kazakhstani Tenge': {u'1.00 USD': u'349.948907', 
         u'US Dollar': u'Kazakhstani Tenge', 
         u'inv. 1.00 USD': u'0.002858'}, 
u'Kuwaiti Dinar': {u'1.00 USD': u'0.300490', 
        u'US Dollar': u'Kuwaiti Dinar', 
        u'inv. 1.00 USD': u'3.327899'}, 
u'Latvian Lat': {u'1.00 USD': u'0.638227', 
        u'US Dollar': u'Latvian Lat', 
        u'inv. 1.00 USD': u'1.566841'}, 
u'Libyan Dinar': {u'1.00 USD': u'1.389216', 
        u'US Dollar': u'Libyan Dinar', 
        u'inv. 1.00 USD': u'0.719831'}, 
u'Lithuanian Litas': {u'1.00 USD': u'3.135556', 
         u'US Dollar': u'Lithuanian Litas', 
         u'inv. 1.00 USD': u'0.318923'}, 
u'Malaysian Ringgit': {u'1.00 USD': u'4.217441', 
         u'US Dollar': u'Malaysian Ringgit', 
         u'inv. 1.00 USD': u'0.237111'}, 
u'Mauritian Rupee': {u'1.00 USD': u'35.959724', 
         u'US Dollar': u'Mauritian Rupee', 
         u'inv. 1.00 USD': u'0.027809'}, 
u'Mexican Peso': {u'1.00 USD': u'18.131872', 
        u'US Dollar': u'Mexican Peso', 
        u'inv. 1.00 USD': u'0.055152'}, 
u'Nepalese Rupee': {u'1.00 USD': u'109.959303', 
        u'US Dollar': u'Nepalese Rupee', 
        u'inv. 1.00 USD': u'0.009094'}, 
u'New Zealand Dollar': {u'1.00 USD': u'1.494449', 
         u'US Dollar': u'New Zealand Dollar', 
         u'inv. 1.00 USD': u'0.669143'}, 
u'Norwegian Krone': {u'1.00 USD': u'8.655515', 
         u'US Dollar': u'Norwegian Krone', 
         u'inv. 1.00 USD': u'0.115533'}, 
u'Omani Rial': {u'1.00 USD': u'0.385000', 
       u'US Dollar': u'Omani Rial', 
       u'inv. 1.00 USD': u'2.597403'}, 
u'Pakistani Rupee': {u'1.00 USD': u'104.604918', 
         u'US Dollar': u'Pakistani Rupee', 
         u'inv. 1.00 USD': u'0.009560'}, 
u'Philippine Peso': {u'1.00 USD': u'47.623330', 
         u'US Dollar': u'Philippine Peso', 
         u'inv. 1.00 USD': u'0.020998'}, 
u'Polish Zloty': {u'1.00 USD': u'3.957191', 
        u'US Dollar': u'Polish Zloty', 
        u'inv. 1.00 USD': u'0.252704'}, 
u'Qatari Riyal': {u'1.00 USD': u'3.640748', 
        u'US Dollar': u'Qatari Riyal', 
        u'inv. 1.00 USD': u'0.274669'}, 
u'Romanian New Leu': {u'1.00 USD': u'4.056672', 
         u'US Dollar': u'Romanian New Leu', 
         u'inv. 1.00 USD': u'0.246507'}, 
u'Russian Ruble': {u'1.00 USD': u'76.158926', 
        u'US Dollar': u'Russian Ruble', 
        u'inv. 1.00 USD': u'0.013130'}, 
u'Saudi Arabian Riyal': {u'1.00 USD': u'3.749980', 
          u'US Dollar': u'Saudi Arabian Riyal', 
          u'inv. 1.00 USD': u'0.266668'}, 
u'Singapore Dollar': {u'1.00 USD': u'1.403808', 
         u'US Dollar': u'Singapore Dollar', 
         u'inv. 1.00 USD': u'0.712348'}, 
u'South African Rand': {u'1.00 USD': u'15.576569', 
         u'US Dollar': u'South African Rand', 
         u'inv. 1.00 USD': u'0.064199'}, 
u'South Korean Won': {u'1.00 USD': u'1239.577296', 
         u'US Dollar': u'South Korean Won', 
         u'inv. 1.00 USD': u'0.000807'}, 
u'Sri Lankan Rupee': {u'1.00 USD': u'144.195899', 
         u'US Dollar': u'Sri Lankan Rupee', 
         u'inv. 1.00 USD': u'0.006935'}, 
u'Swedish Krona': {u'1.00 USD': u'8.526837', 
        u'US Dollar': u'Swedish Krona', 
        u'inv. 1.00 USD': u'0.117277'}, 
u'Swiss Franc': {u'1.00 USD': u'0.992590', 
        u'US Dollar': u'Swiss Franc', 
        u'inv. 1.00 USD': u'1.007465'}, 
u'Taiwan New Dollar': {u'1.00 USD': u'33.191630', 
         u'US Dollar': u'Taiwan New Dollar', 
         u'inv. 1.00 USD': u'0.030128'}, 
u'Thai Baht': {u'1.00 USD': u'35.677099', 
       u'US Dollar': u'Thai Baht', 
       u'inv. 1.00 USD': u'0.028029'}, 
u'Trinidadian Dollar': {u'1.00 USD': u'6.515314', 
         u'US Dollar': u'Trinidadian Dollar', 
         u'inv. 1.00 USD': u'0.153485'}, 
u'Turkish Lira': {u'1.00 USD': u'2.923851', 
        u'US Dollar': u'Turkish Lira', 
        u'inv. 1.00 USD': u'0.342015'}, 
u'Venezuelan Bolivar': {u'1.00 USD': u'6.349609', 
         u'US Dollar': u'Venezuelan Bolivar', 
         u'inv. 1.00 USD': u'0.157490'}}

Cosa si può trovare utile è se si aprono gli strumenti di sviluppo e dare un'occhiata agli stili, si otterrà alcuni suggerimenti su come selezionare determinati elementi.

fonte

2016-02-25 14:08:55

BeautifulSoup - il testo di raschiamento dalla tabella non funziona

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