CkPython
CkPython
HTML Table to CSV
See more HTML-to-XML/Text Examples
Demonstrates a method for converting an HTML table to a CSV file.Note: This example requires Chilkat v9.5.0.77 or greater.
Chilkat CkPython Downloads
import sys
import chilkat
success = False
# This example requires the Chilkat API to have been previously unlocked.
# See Global Unlock Sample for sample code.
# First download the HTML containing the table
http = chilkat.CkHttp()
bdHtml = chilkat.CkBinData()
success = http.QuickGetBd("https://example-code.com/data/etf_table.html",bdHtml)
if (success != True):
print(http.lastErrorText())
sys.exit()
# Convert to XML.
htx = chilkat.CkHtmlToXml()
htx.SetHtmlBd(bdHtml)
sbXml = chilkat.CkStringBuilder()
htx.ToXmlSb(sbXml)
xml = chilkat.CkXml()
xml.LoadSb(sbXml,True)
# Remove attributes and sub-trees we don't need.
# (In other words, we're getting rid of clutter...)
numRemoved = xml.PruneTag("thead")
numRemoved = xml.PruneAttribute("style")
numRemoved = xml.PruneAttribute("class")
# Scrub the element and attribute content.
xml.Scrub("ContentTrimEnds,ContentTrimInside,AttrTrimEnds,AttrTrimInside")
# Let's see what we have...
print(xml.getXml())
# We have the following XML.
# Copy this XML into the online tool at Generate Parsing Code from XML
# as a starting point for accessing the data..
# <?xml version="1.0" encoding="utf-8"?>
# <root>
# <html>
# <head>
# <meta http-equiv="content-type" content="text/html; charset=UTF-8"/>
# </head>
# <body text="#000000" bgcolor="#FFFFFF">
# <div>
# <div>
# <table role="grid" data-scrollx="true" data-sortdirection="desc" data-sorton="-1"/>
# </div>
# </div>
# <div>
# <table id="topHoldingsTable" role="grid" data-scrollx="true" data-sortdirection="desc" data-sorton="-1">
# <tbody>
# <tr role="row">
# <td>
# <text>ITUB4</text>
# </td>
# <td>
# <text>ITAU UNIBANCO HOLDING PREF SA</text>
# </td>
# <td>
# <text>Financials</text>
# </td>
# <td>
# <text>Brazil</text>
# </td>
# <td>
# <text>10.94</text>
# </td>
# <td>
# <text>998,954,813.73</text>
# </td>
# </tr>
# <tr role="row">
# <td>
# <text>BBDC4</text>
# </td>
# <td>
# <text>BANCO BRADESCO PREF SA</text>
# </td>
# <td>
# <text>Financials</text>
# </td>
# <td>
# <text>Brazil</text>
# </td>
# <td>
# <text>9.01</text>
# </td>
# <td>
# <text>822,164,622.75</text>
# </td>
# </tr>
# ...
# ...
# ...
# </tbody>
# </table>
# </div>
# </body>
# </html>
# </root>
#
# This is the code generated by the online tool:
#
i = 0
count_i = xml.NumChildrenHavingTag("html|body|div")
while i < count_i :
xml.put_I(i)
table_role = xml.chilkatPath("html|body|div[i]|div|table|(role)")
table_data_scrollx = xml.chilkatPath("html|body|div[i]|div|table|(data-scrollx)")
table_data_sortdirection = xml.chilkatPath("html|body|div[i]|div|table|(data-sortdirection)")
table_data_sorton = xml.chilkatPath("html|body|div[i]|div|table|(data-sorton)")
table_id = xml.chilkatPath("html|body|div[i]|table|(id)")
table_role = xml.chilkatPath("html|body|div[i]|table|(role)")
table_data_scrollx = xml.chilkatPath("html|body|div[i]|table|(data-scrollx)")
table_data_sortdirection = xml.chilkatPath("html|body|div[i]|table|(data-sortdirection)")
table_data_sorton = xml.chilkatPath("html|body|div[i]|table|(data-sorton)")
j = 0
count_j = xml.NumChildrenHavingTag("html|body|div[i]|table|tbody|tr")
while j < count_j :
xml.put_J(j)
tr_role = xml.chilkatPath("html|body|div[i]|table|tbody|tr[j]|(role)")
k = 0
count_k = xml.NumChildrenHavingTag("html|body|div[i]|table|tbody|tr[j]|td")
while k < count_k :
xml.put_K(k)
text = xml.getChildContent("html|body|div[i]|table|tbody|tr[j]|td[k]|text")
k = k + 1
j = j + 1
i = i + 1
# Let's modify the above code to build the CSV.
csv = chilkat.CkCsv()
csv.SetColumnName(0,"Ticker")
csv.SetColumnName(1,"Name")
csv.SetColumnName(2,"Sector")
csv.SetColumnName(3,"Country")
csv.SetColumnName(4,"Weight")
csv.SetColumnName(5,"Notional Vaue")
i = 0
count_i = xml.NumChildrenHavingTag("html|body|div")
while i < count_i :
xml.put_I(i)
j = 0
count_j = xml.NumChildrenHavingTag("html|body|div[i]|table|tbody|tr")
while j < count_j :
xml.put_J(j)
k = 0
count_k = xml.NumChildrenHavingTag("html|body|div[i]|table|tbody|tr[j]|td")
while k < count_k :
xml.put_K(k)
csv.SetCell(j,k,xml.getChildContent("html|body|div[i]|table|tbody|tr[j]|td[k]|text"))
k = k + 1
j = j + 1
i = i + 1
csv.SaveFile("qa_output/brasil_etf.csv")
csvStr = csv.saveToString()
print(csvStr)
# Our CSV looks like this:
# Ticker,Name,Sector,Country,Weight,Notional Vaue
# ITUB4,ITAU UNIBANCO HOLDING PREF SA,Financials,Brazil,10.94,"998,954,813.73"
# BBDC4,BANCO BRADESCO PREF SA,Financials,Brazil,9.01,"822,164,622.75"
# VALE3,CIA VALE DO RIO DOCE SH,Materials,Brazil,8.60,"785,290,260.07"
# PETR4,PETROLEO BRASILEIRO PREF SA,Energy,Brazil,5.68,"518,124,434.10"
# PETR3,PETROBRAS,Energy,Brazil,4.86,"443,254,438.53"
# B3SA3,B3 BRASIL BOLSA BALCAO SA,Financials,Brazil,4.57,"417,636,740.16"
# ABEV3,AMBEV SA,Consumer Staples,Brazil,4.57,"417,216,913.63"
# BBAS3,BANCO DO BRASIL SA,Financials,Brazil,3.25,"296,921,232.15"
# ITSA4,ITAUSA INVESTIMENTOS ITAU PREF SA,Financials,Brazil,2.90,"265,153,684.52"
# LREN3,LOJAS RENNER SA,Consumer Discretionary,Brazil,2.25,"205,832,175.98"
#