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(CkPython) HTML Table to CSVDemonstrates a method for converting an HTML table to a CSV file. Note: This example requires Chilkat v9.5.0.77 or greater.
import sys import chilkat # 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" # |
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