How to parse select lines in an html string?

I've been writing a program to deal with demographic data and the first server it calls returns an xml string. However, the backup server returns an html string instead of an xml string, so the formatting is a bit different. I was going to use a regex as I did with the xml server, but regex's don't work that well with html. i was wondering if you could offer some advice on how to effectively parse the html string? It is in this format <html>
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<meta name="Description" content="ZIP Code Demographics"/>
<meta name="Keywords" content="zip, zip code, zipcode, demographics, 2000, county, lookup, city, state"/>
<title>ZIP Code Demographics Lookup</title>
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<table width="744" cellspacing=0 border=1 bgcolor="#F7F7F7"><tr><td align=left>ZIP Code Demographics Lookup</td><form><td width=120 align=center><input title='Help for ZIP Code Demographics Lookup' type=button onClick=openHelpWindow('/lookups/help/zipdemo2000.asp') value=Help> <a title='Lookups home page' href=/lookups/index.htm>Index</a></td></form></tr></table>

<form action="ZipDemo2000.asp" name="Demo2000">
<table width="400" class="Disp">
<tr><td align="center">Enter a 5-Digit ZIP Code
 <input class="Disp" title="Enter a ZIP Code" id="text1" size="5" name="ZipCode" maxlength="5"/> <input type="submit" value="Submit"/>
</td></tr>
</table>
</form>
<table cellspacing="0" cellpadding="1" width="750" border="2" bgcolor="#ffffcc">
<tr bgcolor="lightblue"><td colspan="4" align="center">Year 2000 Demographics of ZIP Code 90041 LOS ANGELES, California <a href=mapzipv.asp?zip=90041>Map of ZIP Code</a></td></tr>
<tr bgcolor="#bbffff"><td>TOTAL POPULATION [1]</td><td >P001</td></tr>
<tr bgcolor="#bbffff"><td>Universe: Total population</td><td >P001</td></tr>
<tr><td> Total</td><td align=right > 27,864</td></tr>
<tr bgcolor="#bbffff"><td>URBAN AND RURAL [6]</td><td >P002</td></tr>
<tr bgcolor="#bbffff"><td>Universe: Total population</td><td >P002</td></tr>
<tr><td> Total:</td><td align=right > 27,864</td></tr>
<tr><td> Urban:</td><td align=right > 27,864</td></tr>
<tr><td> Inside urbanized areas</td><td align=right > 27,864</td></tr>
<tr><td> Inside urban clusters</td><td align=right > 0</td></tr>
<tr><td> Rural</td><td align=right > 0</td></tr>
<tr><td> Not defined for this file</td><td align=right > 0</td></tr>
<tr bgcolor="#bbffff"><td>RACE [8]</td><td >P007</td></tr>
<tr bgcolor="#bbffff"><td>Universe: Total population</td><td >P007</td></tr>
<tr><td> Total:</td><td align=right > 27,864</td></tr>
<tr><td> White alone</td><td align=right > 13,429</td></tr>
<tr><td> Black or African American alone</td><td align=right > 630</td></tr>
<tr><td> American Indian and Alaska Native alone</td><td align=right > 242</td></tr>
<tr><td> Asian alone</td><td align=right > 7,123</td></tr>
<tr><td> Native Hawaiian and Other Pacific Islander alone</td><td align=right > 42</td></tr>
<tr><td> Some other race alone</td><td align=right > 4,738</td></tr>
<tr><td> Two or more races</td><td align=right > 1,660</td></tr>
<tr bgcolor="#bbffff"><td>HISPANIC OR LATINO BY RACE [17]</td><td >P008</td></tr>
<tr bgcolor="#bbffff"><td>Universe: Total population</td><td >P008</td></tr>
<tr><td> Total:</td><td align=right > 27,864</td></tr>
<tr><td> Not Hispanic or Latino:</td><td align=right > 17,109</td></tr>
<tr><td> White alone</td><td align=right > 8,468</td></tr>
<tr><td> Black or African American alone</td><td align=right > 555</td></tr>
<tr><td> American Indian and Alaska Native alone</td><td align=right > 105</td></tr>
<tr><td> Asian alone</td><td align=right > 7,053</td></tr>
<tr><td> Native Hawaiian and Other Pacific Islander alone</td><td align=right > 30</td></tr>
<tr><td> Some other race alone</td><td align=right > 73</td></tr>
<tr><td> Two or more races</td><td align=right > 825</td></tr>
<tr><td> Hispanic or Latino:</td><td align=right > 10,755</td></tr>
<tr><td> White alone</td><td align=right > 4,961</td></tr>
<tr><td> Black or African American alone</td><td align=right > 75</td></tr>
<tr><td> American Indian and Alaska Native alone</td><td align=right > 137</td></tr>
<tr><td> Asian alone</td><td align=right > 70</td></tr>
<tr><td> Native Hawaiian and Other Pacific Islander alone</td><td align=right > 12</td></tr>
<tr><td> Some other race alone</td><td align=right > 4,665</td></tr>
<tr><td> Two or more races</td><td align=right > 835</td></tr>
<tr bgcolor="#bbffff"><td>SEX BY AGE [49]</td><td >P012</td></tr>
<tr bgcolor="#bbffff"><td>Universe: Total population</td><td >P012</td></tr>
<tr><td> Total:</td><td align=right > 27,864</td></tr>
<tr><td> Male:</td><td align=right > 13,324</td></tr>
<tr><td> Under 5 years</td><td align=right > 862</td></tr>
<tr><td> 5 to 9 years</td><td align=right > 974</td></tr>
<tr><td> 10 to 14 years</td><td align=right > 872</td></tr>
<tr><td> 15 to 17 years</td><td align=right > 525</td></tr>
<tr><td> 18 and 19 years</td><td align=right > 511</td></tr>
<tr><td> 20 years</td><td align=right > 257</td></tr>
<tr><td> 21 years</td><td align=right > 287</td></tr>
<tr><td> 22 to 24 years</td><td align=right > 569</td></tr>
<tr><td> 25 to 29 years</td><td align=right > 969</td></tr>
<tr><td> 30 to 34 years</td><td align=right > 1,024</td></tr>
<tr><td> 35 to 39 years</td><td align=right > 1,140</td></tr>
<tr><td> 40 to 44 years</td><td align=right > 1,077</td></tr>
<tr><td> 45 to 49 years</td><td align=right > 987</td></tr>
<tr><td> 50 to 54 years</td><td align=right > 822</td></tr>
<tr><td> 55 to 59 years</td><td align=right > 647</td></tr>
<tr><td> 60 and 61 years</td><td align=right > 215</td></tr>
<tr><td> 62 to 64 years</td><td align=right > 270</td></tr>
<tr><td> 65 and 66 years</td><td align=right > 155</td></tr>
<tr><td> 67 to 69 years</td><td align=right > 258</td></tr>
<tr><td> 70 to 74 years</td><td align=right > 320</td></tr>
<tr><td> 75 to 79 years</td><td align=right > 252</td></tr>
<tr><td> 80 to 84 years</td><td align=right > 183</td></tr>
<tr><td> 85 years and over</td><td align=right > 148</td></tr>
<tr><td> Female:</td><td align=right > 14,540</td></tr>
<tr><td> Under 5 years</td><td align=right > 864</td></tr>
<tr><td> 5 to 9 years</td><td align=right > 949</td></tr>
<tr><td> 10 to 14 years</td><td align=right > 875</td></tr>
<tr><td> 15 to 17 years</td><td align=right > 534</td></tr>
<tr><td> 18 and 19 years</td><td align=right > 592</td></tr>
<tr><td> 20 years</td><td align=right > 285</td></tr>
<tr><td> 21 years</td><td align=right > 264</td></tr>
<tr><td> 22 to 24 years</td><td align=right > 600</td></tr>
<tr><td> 25 to 29 years</td><td align=right > 932</td></tr>
<tr><td> 30 to 34 years</td><td align=right > 1,035</td></tr>
<tr><td> 35 to 39 years</td><td align=right > 1,026</td></tr>
<tr><td> 40 to 44 years</td><td align=right > 1,131</td></tr>
<tr><td> 45 to 49 years</td><td align=right > 1,038</td></tr>
<tr><td> 50 to 54 years</td><td align=right > 970</td></tr>
<tr><td> 55 to 59 years</td><td align=right > 689</td></tr>
<tr><td> 60 and 61 years</td><td align=right > 261</td></tr>
<tr><td> 62 to 64 years</td><td align=right > 327</td></tr>
<tr><td> 65 and 66 years</td><td align=right > 208</td></tr>
<tr><td> 67 to 69 years</td><td align=right > 307</td></tr>
<tr><td> 70 to 74 years</td><td align=right > 482</td></tr>
<tr><td> 75 to 79 years</td><td align=right > 450</td></tr>
<tr><td> 80 to 84 years</td><td align=right > 331</td></tr>
<tr><td> 85 years and over</td><td align=right > 390</td></tr>
<tr bgcolor="#bbffff"><td>MEDIAN AGE BY SEX [3]</td><td >P013</td></tr>
<tr bgcolor="#bbffff"><td>Universe: Total population</td><td >P013</td></tr>
<tr bgcolor="#bbffff"><td>Median age--</td><td >P013</td></tr>
<tr><td> Both sexes</td><td align=right > 35.3</td></tr>
<tr><td> Male</td><td align=right > 34.0</td></tr>
<tr><td> Female</td><td align=right > 36.6</td></tr>
<tr bgcolor="#bbffff"><td>HOUSEHOLDS [1]</td><td >P015</td></tr>
<tr bgcolor="#bbffff"><td>Universe: Households</td><td >P015</td></tr>
<tr><td> Total</td><td align=right > 9,375</td></tr>
<tr bgcolor="#bbffff"><td>POPULATION IN HOUSEHOLDS [1]</td><td >P016</td></tr>
<tr bgcolor="#bbffff"><td>Universe: Population in households</td><td >P016</td></tr>
<tr><td> Total</td><td align=right > 26,409</td></tr>
<tr bgcolor="#bbffff"><td>AVERAGE HOUSEHOLD SIZE [1]</td><td >P017</td></tr>
<tr bgcolor="#bbffff"><td>Universe: Households</td><td >P017</td></tr>
<tr><td> Average household size</td><td align=right > 2.82</td></tr>
<tr bgcolor="#bbffff"><td>FAMILIES [1]</td><td >P031</td></tr>
<tr bgcolor="#bbffff"><td>Universe: Families</td><td >P031</td></tr>
<tr><td> Total</td><td align=right > 6,326</td></tr>
<tr bgcolor="#bbffff"><td>POPULATION IN FAMILIES [1]</td><td >P032</td></tr>
<tr bgcolor="#bbffff"><td>Universe: Population in families</td><td >P032</td></tr>
<tr><td> Total</td><td align=right > 21,653</td></tr>
<tr bgcolor="#bbffff"><td>AVERAGE FAMILY SIZE [1]</td><td >P033</td></tr>
<tr bgcolor="#bbffff"><td>Universe: Families</td><td >P033</td></tr>
<tr><td> Average family size</td><td align=right > 3.42</td></tr>
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The numbers I wanted to extract are the age groups of "Under 5 years," "5 to 9 years," "10 to 14 years," and "15 to 17 years," from both male and female groups, which should add up to 8 numbers total. Here is the backup server portion of my program as well, so you can see what i'm doing.
import java.net.*;
import java.net.URL;
import java.net.URLConnection;
import java.net.HttpURLConnection;
import java.io.*;
import java.io.DataOutputStream;
import java.io.BufferedReader;
import java.io.StringReader;
import java.io.InputStreamReader;
import java.io.PrintStream;
import java.util.Scanner;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import java.util.Arrays;
public class TriParser
 static Scanner sc = new Scanner(System.in);
 public static int[] findValues(String text, String gender, String[] labels)
 Matcher m = Pattern.compile("<td>(.*?)</td>",
 Pattern.MULTILINE | Pattern.DOTALL).matcher(text);
 String allValues = m.find() ? m.group(1) : null; // TODO: handle if 'null' is returned!
 int[] values = new int[labels.length];
 for(int i = 0; i < labels.length; i++)
 m = Pattern.compile(labels[i]+"[^>]+>(\\d+)").matcher(allValues);
 if(m.find()) values[i] = Integer.parseInt(m.group(1));
 return values;
 public static void main(String[] args) throws Exception
 int zip;
 boolean validInteger;//indicates if zipcode is valid (has to be 5 digits)
 do
 System.out.print("Enter a five-digit zipcode: ");
 zip = sc.nextInt();
 validInteger = true;
 if((zip < 10000) || (zip > 99999))
 validInteger = false;
 System.out.println("Invalid Entry. Please re-enter zipcode.");
 while(!validInteger);
 System.out.println(zip);
 //String requestPart1 ="query=PREFIX+dc%3A++%3Chttp%3A%2F%2Fpurl.org%2Fdc%2Felements%2F1.1%2F%3E+%0D%0APREFIX+census%3A+%3Chttp%3A%2F%2Fwww.rdfabout.com%2Frdf%2Fschema%2Fcensus%2F%3E+%0D%0APREFIX+census1%3A+%3Ctag%3Agovshare.info%2C2005%3Ardf%2Fcensus%2Fdetails%2F100pct%2F%3E+%0D%0A%0D%0ADESCRIBE+%3Ftable+WHERE+%7B+%0D%0A+%3Chttp%3A%2F%2Fwww.rdfabout.com%2Frdf%2Fusgov%2Fgeo%2Fcensus%2Fzcta%2F";
 //String requestPart2 = "" + zip; // zipcode goes here
 //String requestPart3 ="%3E+census%3Adetails+%3Fdetails+.+%0D%0A+%3Fdetails+census1%3AtotalPopulation+%3Ftable+.+%0D%0A+%3Ftable+dc%3Atitle+%22SEX+BY+AGE+%28P012001%29%22+.+%0D%0A%7D%0D%0A&outputMimeType=text%2Fxml";
 String requestPart1 = "" + zip;
 String response = "";
 URL url = new URL("http://www.melissadata.com/lookups/zipdemo2000.asp?ZipCode="+requestPart1);
 URLConnection conn = url.openConnection();
 // Set connection parameters.
 conn.setDoInput (true);
 conn.setDoOutput (true);
 conn.setUseCaches (false);
 // Make server believe we are form data
 conn.setRequestProperty("Content-Type","application/x-www-form-urlencoded");
 DataOutputStream out = new DataOutputStream (conn.getOutputStream ());
 // Write out the bytes of the content string to the stream.
 out.writeBytes(requestPart1);
 out.flush ();
 out.close ();
 // Read response from the input stream.
 BufferedReader in = new BufferedReader (new
 InputStreamReader(conn.getInputStream ()));
 String temp;
 while ((temp = in.readLine()) != null)
 response += temp + "\n"; // needs to be parsed to calculate the 4 numbers
 temp = null;
 in.close ();
 //System.out.println("Server response:\n" + response);
 // how to call the method:
 String[] ages = {"Under 5 years", "5 to 9 years", "10 to 14 years", "15 to 17 years"};
 String[] ages1 = {"Under 5 years"};
 String[] ages2 = {"5 to 9 years"};
 String[] ages3 = {"10 to 14 years"};
 String[] ages4 = {"15 to 17 years"};
 String female1 = Arrays.toString(findValues(response, "female", ages1));
 String female2 = Arrays.toString(findValues(response, "female", ages2));
 String female3 = Arrays.toString(findValues(response, "female", ages3));
 String female4 = Arrays.toString(findValues(response, "female", ages4));
 String female = female1 + "+" + female2 + "<" + female3 + ">" + female4 + "&";
 String male1 = Arrays.toString(findValues(response, "male", ages1));
 String male2 = Arrays.toString(findValues(response, "male", ages2));
 String male3 = Arrays.toString(findValues(response, "male", ages3));
 String male4 = Arrays.toString(findValues(response, "male", ages4));
 String male = male1 + "+" + male2 + "<" + male3 + ">" + male4 + "&";
 System.out.println(female);
 System.out.println(male);
 //Simplified string response, makes use of regular expressions
 //Start manipulation of numbers inside string
 int left = female.indexOf("[");
 int right = female.indexOf("]");
 // pull out the text inside the parens
 String parsed = female.substring(left+1, right);
 double parseddub = Double.parseDouble(parsed);
 //divide the group Under5Years into Under12Mo and 1to4Yr
 double Group1Adub = parseddub*.25;//25% for Under12Mo
 Group1Adub = Math.ceil(Group1Adub);
 int Group1A =(int)Group1Adub;
 double Group1Bdub = parseddub*.75;//75% for 1to4Yr
 Group1Bdub = Math.ceil(Group1Bdub);
 int Group1B =(int)Group1Bdub;
 int left2 = female.indexOf("+");
 int right2 = female.indexOf("<");
 // pull out the text inside the parens
 String parsed2 = female.substring(left2+2, right2-1);
 double parsed2dub = Double.parseDouble(parsed2);
 //divide the group 5to9Yr into 5Yr, 6to7Yr, and 8to9Yr
 double Group2Adub = parsed2dub*.2;//20% for 5Yr
 Group2Adub = Math.ceil(Group2Adub);
 int Group2A =(int)Group2Adub;
 double Group2Bdub = parsed2dub*.4;//40% for 6to7Yr
 Group2Bdub = Math.ceil(Group2Bdub);
 int Group2B =(int)Group2Bdub;
 double Group2Cdub = parsed2dub*.2;//20% for 8Yr
 Group2Cdub = Math.ceil(Group2Cdub);
 int Group2C =(int)Group2Cdub;
 double Group2Ddub = parsed2dub*.2;//20% for 9Yr
 Group2Ddub = Math.ceil(Group2Ddub);
 int Group2D =(int)Group2Ddub;
 int left3 = female.indexOf("<");
 int right3 = female.indexOf(">");
 // pull out the text inside the brackets
 String parsed3 = female.substring(left3+2, right3-1);
 int Group3A = Integer.valueOf(parsed3).intValue();
 int left4 = female.indexOf(">");
 int right4 = female.indexOf("&");
 // pull out the text inside the brackets
 String parsed4 = female.substring(left4+2, right4-1);
 int Group4A = Integer.valueOf(parsed4).intValue();
 int left5 = male.indexOf("[");
 int right5 = male.indexOf("]");
 String parsed5 = male.substring(left5+1, right5);
 double parsed5dub = Double.parseDouble(parsed5);
 //divide the group Under5Years into Under12Mo and 1to4Yr
 double Group5Adub = parsed5dub*.25;//25% for Under12Mo
 Group5Adub = Math.ceil(Group5Adub);
 int Group5A =(int)Group5Adub;
 double Group5Bdub = parsed5dub*.75;//75% for 1to4Yr
 Group5Bdub = Math.ceil(Group5Bdub);
 int Group5B =(int)Group5Bdub;
 int left6 = male.indexOf("+");
 int right6 = male.indexOf("<");
 // pull out the text inside the parens
 String parsed6 = male.substring(left6+2, right6-1);
 double parsed6dub = Double.parseDouble(parsed6);
 //divide the group 5to9Yr into 5Yr, 6to7Yr, and 8to9Yr
 double Group6Adub = parsed6dub*.2;//20% for 5Yr
 Group6Adub = Math.ceil(Group6Adub);
 int Group6A =(int)Group6Adub;
 double Group6Bdub = parsed6dub*.4;//40% for 6to7Yr
 Group6Bdub = Math.ceil(Group6Bdub);
 int Group6B =(int)Group6Bdub;
 double Group6Cdub = parsed6dub*.2;//20% for 8Yr
 Group6Cdub = Math.ceil(Group6Cdub);
 int Group6C =(int)Group6Cdub;
 double Group6Ddub = parsed6dub*.2;//20% for 9Yr
 Group6Ddub = Math.ceil(Group6Ddub);
 int Group6D =(int)Group6Ddub;
 int left7 = male.indexOf("<");
 int right7 = male.indexOf(">");
 // pull out the text inside the brackets
 String parsed7 = male.substring(left7+2, right7-1);
 int Group7A = Integer.valueOf(parsed7).intValue();
 int left8 = male.indexOf(">");
 int right8 = male.indexOf("&");
 // pull out the text inside the brackets
 String parsed8 = male.substring(left8+2, right8-1);
 int Group8A = Integer.valueOf(parsed8).intValue();
 //female
 int Group1 = Group1A;
 int Group2 = Group1B + Group2A;
 int Group3 = Group2A + Group2B + Group2C;
 int Group4 = Group2C + Group2D + Group3A + Group4A;
 //male
 int Group5 = Group5A;
 int Group6 = Group5B + Group6A;
 int Group7 = Group6A + Group6B + Group6C;
 int Group8 = Group6C + Group6D + Group7A + Group8A;
 System.out.println("Server response:\n" + "\n" + "Female");
 System.out.println("Under 12 Months: " + Group1);
 System.out.println("1 to 4 Years Old: " + Group2);
 System.out.println("5 to 8 Years Old: " + Group3);
 System.out.println("8 to 17 Years Old: " + Group4);
 System.out.println("\n" + "Male");
 System.out.println("Under 12 Months: " + Group5);
 System.out.println("1 to 4 Years Old: " + Group6);
 System.out.println("5 to 8 Years Old: " + Group7);
 System.out.println("8 to 17 Years Old: " + Group8);
}Currently it functions using a regex, and executes, but doesn't return any numbers, only returns zeros...If you could help me out with this, that would be amazing! Thanks so much.

hmm, is there a way to do it without an external API? Of course there is.
looks like i have to download the API and the idea behind the program is to make it so multiple people running only java can run the program, without having to download APIs, ect, to make it run. Not sure if that is what JTidy entails, but is that what you were suggesting?Personally, I don't understand the resistance to using well-tested tools already in existence as opposed to trying to rewrite a shallow facsimile of said tools. You can distribute the JTidy library along with your application and save yourself a great deal of development and debugging effort.
~

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Satyaki_De wrote:
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Message was edited by:
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<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:census1="tag:govshare.info,2005:rdf/census/details/100pct/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:census="http://www.rdfabout.com/rdf/schema/census/">
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 <rdf:Description>
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 <census1:_18And19Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">592</census1:_18And19Years>
 <census1:_67To69Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">307</census1:_67To69Years>
 <census1:_55To59Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">689</census1:_55To59Years>
 <census1:_22To24Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">600</census1:_22To24Years>
 <census1:_75To79Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">450</census1:_75To79Years>
 <census1:_80To84Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">331</census1:_80To84Years>
 <census1:_25To29Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">932</census1:_25To29Years>
 <census1:_15To17Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">534</census1:_15To17Years>
 <census1:_30To34Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1035</census1:_30To34Years>
 <rdf:value rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">14540</rdf:value>
 <census1:_50To54Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">970</census1:_50To54Years>
 <census1:_45To49Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1038</census1:_45To49Years>
 <census1:_5To9Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">949</census1:_5To9Years>
 <census1:_60And61Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">261</census1:_60And61Years>
 <census1:_21Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">264</census1:_21Years>
 <census1:_70To74Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">482</census1:_70To74Years>
 <census1:_65And66Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">208</census1:_65And66Years>
 <census1:_35To39Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1026</census1:_35To39Years>
 <census1:_20Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">285</census1:_20Years>
 <census1:_85YearsAndOver rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">390</census1:_85YearsAndOver>
 </rdf:Description>
 </census1:female>
 <rdf:value rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">27864</rdf:value>
 <census1:male>
 <rdf:Description>
 <census1:_40To44Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1077</census1:_40To44Years>
 <census1:_62To64Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">270</census1:_62To64Years>
 <census1:_10To14Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">872</census1:_10To14Years>
 <census1:under5Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">862</census1:under5Years>
 <census1:_18And19Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">511</census1:_18And19Years>
 <census1:_67To69Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">258</census1:_67To69Years>
 <census1:_55To59Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">647</census1:_55To59Years>
 <census1:_22To24Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">569</census1:_22To24Years>
 <census1:_75To79Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">252</census1:_75To79Years>
 <census1:_80To84Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">183</census1:_80To84Years>
 <census1:_25To29Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">969</census1:_25To29Years>
 <census1:_15To17Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">525</census1:_15To17Years>
 <census1:_30To34Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1024</census1:_30To34Years>
 <rdf:value rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">13324</rdf:value>
 <census1:_50To54Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">822</census1:_50To54Years>
 <census1:_45To49Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">987</census1:_45To49Years>
 <census1:_5To9Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">974</census1:_5To9Years>
 <census1:_60And61Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">215</census1:_60And61Years>
 <census1:_21Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">287</census1:_21Years>
 <census1:_70To74Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">320</census1:_70To74Years>
 <census1:_65And66Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">155</census1:_65And66Years>
 <census1:_35To39Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1140</census1:_35To39Years>
 <census1:_20Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">257</census1:_20Years>
 <census1:_85YearsAndOver rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">148</census1:_85YearsAndOver>
 </rdf:Description>
 </census1:male>
 </rdf:Description>
 </census1:totalPopulation>
 </rdf:Description>
</rdf:RDF>now my first attempt at pulling this off worked just fine, but only for the female demographics, since the tags for female and male are identical (only the numbers/data is different) and my parser would stop after reaching the first round of tags specified.
here's part of my code for that section, located in the main (response is the xml string returned from server):
while ((temp = in.readLine()) != null)
 response += temp + "\n";
 temp = null;
 in.close ();
int left = response.indexOf("<census1:under5Years rdf:datatype=\"http://www.w3.org/2001/XMLSchema#integer\">");
 int right = response.indexOf("</census1:under5Years>");
 // pull out the text inside the parens
 String parsed = response.substring(left+77, right);
 double parseddub = Double.parseDouble(parsed);
 //divide the group Under5Years into Under12Mo and 1to4Yr
 double Group1Adub = parseddub*.25;//25% for Under12Mo
 Group1Adub = Math.ceil(Group1Adub);
 int Group1A =(int)Group1Adub;
 double Group1Bdub = parseddub*.75;//75% for 1to4Yr
 Group1Bdub = Math.ceil(Group1Bdub);
 int Group1B =(int)Group1Bdub;
//..need to basically duplicate this for 3 other age groups
int Group1 = Group1A;
System.out.println("Server response:\n" + "Female");
 System.out.println("Under 12 Months: " + Group1);now basically, everything works great for the female data, but i would like to somehow loop this or selectively parse by line and then extract information from those selected lines. any thoughts? i would really appreciate some insight thanks.

lol no offense taken. sorry for the confusion, please disregard my earlier statements... :)
i actually was able to get the thing working, i just didn't quite understand what i was doing at first.
however, i noticed that the regex only handles the first four lines of each group (male and female). i was wondering if there was a way to do it that's non-sequential?
<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:census1="tag:govshare.info,2005:rdf/census/details/100pct/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:census="http://www.rdfabout.com/rdf/schema/census/">
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 <census1:totalPopulation>
 <rdf:Description>
 <dc:title>SEX BY AGE (P012001)</dc:title>
 <census1:female>
 <rdf:Description>
 <census1:_40To44Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1131</census1:_40To44Years>
 <census1:_62To64Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">327</census1:_62To64Years>
 -<census1:_10To14Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">875</census1:_10To14Years>
 -<census1:under5Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">864</census1:under5Years>
 <census1:_18And19Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">592</census1:_18And19Years>
 <census1:_67To69Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">307</census1:_67To69Years>
 <census1:_55To59Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">689</census1:_55To59Years>
 <census1:_22To24Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">600</census1:_22To24Years>
 <census1:_75To79Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">450</census1:_75To79Years>
 <census1:_80To84Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">331</census1:_80To84Years>
 <census1:_25To29Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">932</census1:_25To29Years>
 -<census1:_15To17Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">534</census1:_15To17Years>
 <census1:_30To34Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1035</census1:_30To34Years>
 <rdf:value rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">14540</rdf:value>
 <census1:_50To54Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">970</census1:_50To54Years>
 <census1:_45To49Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1038</census1:_45To49Years>
 -<census1:_5To9Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">949</census1:_5To9Years>
 <census1:_60And61Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">261</census1:_60And61Years>
 <census1:_21Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">264</census1:_21Years>
 <census1:_70To74Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">482</census1:_70To74Years>
 <census1:_65And66Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">208</census1:_65And66Years>
 <census1:_35To39Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1026</census1:_35To39Years>
 <census1:_20Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">285</census1:_20Years>
 <census1:_85YearsAndOver rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">390</census1:_85YearsAndOver>
 </rdf:Description>
 </census1:female>
 <rdf:value rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">27864</rdf:value>
 <census1:male>
 <rdf:Description>
 <census1:_40To44Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1077</census1:_40To44Years>
 <census1:_62To64Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">270</census1:_62To64Years>
 -<census1:_10To14Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">872</census1:_10To14Years>
 -<census1:under5Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">862</census1:under5Years>
 <census1:_18And19Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">511</census1:_18And19Years>
 <census1:_67To69Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">258</census1:_67To69Years>
 <census1:_55To59Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">647</census1:_55To59Years>
 <census1:_22To24Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">569</census1:_22To24Years>
 <census1:_75To79Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">252</census1:_75To79Years>
 <census1:_80To84Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">183</census1:_80To84Years>
 <census1:_25To29Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">969</census1:_25To29Years>
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 <census1:_70To74Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">320</census1:_70To74Years>
 <census1:_65And66Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">155</census1:_65And66Years>
 <census1:_35To39Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1140</census1:_35To39Years>
 <census1:_20Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">257</census1:_20Years>
 <census1:_85YearsAndOver rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">148</census1:_85YearsAndOver>
 </rdf:Description>
 </census1:male>
 </rdf:Description>
 </census1:totalPopulation>
 </rdf:Description>
</rdf:RDF> using the regular expression, i can parse the string, but what i really need is to only parse the 8 lines designated, and they are not in sequential order, which makes it somewhat problematic.
the format of the output i want to get should be as in the following example (female: under5, 5to9, 10to14, 15to17):
[864, 949, 875, 534]
same format for male of course. i'm just not sure how to edit the regex so that it can select only the lines i'm concerned with...? thanks so much i really appreciate this.

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I'm trying to design a report that has a text field that contains html formatted text and includes links. These links need to be clickable in a thick client Java application I'm developing and the only way I can see in Crystal Developer to make a clickable link is to have a discrete text element with a hyperlink (set using the hyperlink tab in the element properties) for each link.
The problem I have is that there can be any number of links in the html and I need a scalable way to extract and display these links.
So far I have used formulas in Crystal Developer to parse the html and extracte the links into a fixed size array and then display each link in a separate text element. I would like to be able to have only one 'link' text element in the report design and create as many link elements as required depending on how many links are present in the html.
How is this possible? With some funky grouping voodoo maybe, or something else? Please help me achieve this.
Cheers,
Elliot.

Hi Elliot,
Follow these steps, and check the output.
1.Right click on the field object and select "Format Editor".
2.Click on the "Paragraph" tab and select the "Text interpretation" as "RTF Text" or "HTML Text".
3.Click on "Ok" button.
Hope this helps.

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Hi All,
we are trying to Recording QP02 transaction ,we have inputs like material,plant,Group,Group Counter.
after entering these inputs we will get multiful line items(inspection characteristics).we need to check one field for each item.
How can we get this?
Please help me?
Thanks,
Peddi reddy.

Hi Kamesh,
Thanks.
After selecting line items i am selecting control indicators Tab.
then Pop up screen called as (Edit characteristic control indicators) will open ,..then just pressing enter..the it will show another pop up ..here i am selecting one field(Long term Inspection)..the process has to do for all line items.
In My program i have copied BDC performs which i got from Recording.
Do i need to change tha performs or will it work?
i tested in foreground with another material .... upto 3 or 4 line items its working fine.after that sytem does.t say anything.
if i need to chage performs please help me .

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Can someone help me about how to use at-line selection in an ALV

u can try in user_command
CALL FUNCTION 'REUSE_ALV_GRID_DISPLAY'
    EXPORTING
         I_CALLBACK_PROGRAM = G_REPID
         IT_FIELDCAT = GT_FIELDCATALOG
         I_CALLBACK_PF_STATUS_SET = 'PF_STATUS_SET'
         I_CALLBACK_HTML_END_OF_LIST = G_HTML_END_OF_LIST
         I_CALLBACK_USER_COMMAND = 'USER_COMMAND'
         I_GRID_SETTINGS = GS_SETTINGS
         IS_LAYOUT = GS_LAYOUT
         I_SAVE = G_SAVE
         IS_VARIANT = GS_VARIANT
         IT_EVENTS = GT_EVENTS[]
*      I_SCREEN_START_COLUMN = 0 "Use coordinates for
*      I_SCREEN_START_LINE = 0 "display as dialog box
*      I_SCREEN_END_COLUMN = 0
*      I_SCREEN_END_LINE = 0
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         E_EXIT_CAUSED_BY_CALLER = G_EXIT_CAUSED_BY_CALLER
         ES_EXIT_CAUSED_BY_USER = GS_EXIT_CAUSED_BY_USER
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         T_OUTTAB = I_REP
    EXCEPTIONS
         PROGRAM_ERROR = 1
         OTHERS = 2.
FORM USER_COMMAND USING R_UCOMM TYPE SY-UCOMM
                        RS_SELFIELD TYPE SLIS_SELFIELD.
CASE R_UCOMM.
    WHEN '&IC1'.
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        WHEN 'XXXXX'.
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          IF SY-SUBRC = 0.
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        WHEN OTHERS
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ENDCASE.
ENDFORM.

Itunes - how do i select multiple line items not in sequence ?

itunes - how do i select multiple line items not in sequence ?

Hold down the Command key and click each in succession.
To extend the selection across items that ARE contiguous, use the Shift key.

How to Create Test Sequence Document in HTML using command line

How to Create Test Sequence Document in HTML using command line
I have lot of sequences and I want to create Test Sequence Documentation in HTML format using Command Line automatically, is there a way to automate this task using .bat file or using C# .Net

If you aren't able to figure out how to call a C++ DLL in .net then there may be another option. Unfortunately I don't know how to do this off the top of my head and I don't have an example.
The other option would be to change docgen.seq a little bit to the dialog doesn't display and you just hardcode the options. Then you can use a command line to call testexec.exe: http://zone.ni.com/reference/en-XX/help/370052K-01/tsfundamentals/infotopics/startup_opt/
Hope this helps,
jigg
CTA, CLA
teststandhelp.com
~Will work for kudos and/or BBQ~

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Hi all
I want to parse an HTML file?
How is it possible?
After taking an input which is an HTML file, i need to parse it, and i need to print/modify values based on some tags?
Please help me, how to parse an HTML file?

You start by reading the first character and then continiung until you reach the last character.
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