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(Swift 2) 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.
func chilkatTest() { // 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 let http = CkoHttp() let bdHtml = CkoBinData() var success: Bool = http.QuickGetBd("https://example-code.com/data/etf_table.html", binData: bdHtml) if success != true { print("\(http.LastErrorText)") return } // Convert to XML. let htx = CkoHtmlToXml() htx.SetHtmlBd(bdHtml) let sbXml = CkoStringBuilder() htx.ToXmlSb(sbXml) let xml = CkoXml() xml.LoadSb(sbXml, autoTrim: true) // Remove attributes and sub-trees we don't need. // (In other words, we're getting rid of clutter...) var numRemoved: Int = xml.PruneTag("thead").intValue numRemoved = xml.PruneAttribute("style").intValue numRemoved = xml.PruneAttribute("class").intValue // 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: // var i: Int var count_i: Int var table_role: String? var table_data_scrollx: String? var table_data_sortdirection: String? var table_data_sorton: String? var table_id: String? var j: Int var count_j: Int var tr_role: String? var k: Int var count_k: Int var tagPath: String? var text: String? i = 0 count_i = xml.NumChildrenHavingTag("html|body|div").intValue while i < count_i { xml.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").intValue while j < count_j { xml.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").intValue while k < count_k { xml.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. let csv = CkoCsv() csv.SetColumnName(0, columnName: "Ticker") csv.SetColumnName(1, columnName: "Name") csv.SetColumnName(2, columnName: "Sector") csv.SetColumnName(3, columnName: "Country") csv.SetColumnName(4, columnName: "Weight") csv.SetColumnName(5, columnName: "Notional Vaue") i = 0 count_i = xml.NumChildrenHavingTag("html|body|div").intValue while i < count_i { xml.I = i j = 0 count_j = xml.NumChildrenHavingTag("html|body|div[i]|table|tbody|tr").intValue while j < count_j { xml.J = j k = 0 count_k = xml.NumChildrenHavingTag("html|body|div[i]|table|tbody|tr[j]|td").intValue while k < count_k { xml.K = k csv.SetCell(j, col: k, content: 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") var csvStr: String? = 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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