Node.js
Node.js
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 Node.js Downloads
NODEJS_PRELUDE
function chilkatExample() {
var 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
var http = new chilkat.Http();
var bdHtml = new chilkat.BinData();
success = http.QuickGetBd("https://example-code.com/data/etf_table.html",bdHtml);
if (success !== true) {
console.log(http.LastErrorText);
return;
}
// Convert to XML.
var htx = new chilkat.HtmlToXml();
htx.SetHtmlBd(bdHtml);
var sbXml = new chilkat.StringBuilder();
htx.ToXmlSb(sbXml);
var xml = new chilkat.Xml();
xml.LoadSb(sbXml,true);
// Remove attributes and sub-trees we don't need.
// (In other words, we're getting rid of clutter...)
var 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...
console.log(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;
var count_i;
var table_role;
var table_data_scrollx;
var table_data_sortdirection;
var table_data_sorton;
var table_id;
var j;
var count_j;
var tr_role;
var k;
var count_k;
var tagPath;
var text;
i = 0;
count_i = xml.NumChildrenHavingTag("html|body|div");
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");
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");
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.
var csv = new chilkat.Csv();
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.I = i;
j = 0;
count_j = xml.NumChildrenHavingTag("html|body|div[i]|table|tbody|tr");
while (j < count_j) {
xml.J = j;
k = 0;
count_k = xml.NumChildrenHavingTag("html|body|div[i]|table|tbody|tr[j]|td");
while (k < count_k) {
xml.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");
var csvStr = csv.SaveToString();
console.log(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"
//
}
chilkatExample();