<cfset allLinks= XmlSearch(myXml,”//*[starts-with(name(),
'a') and string-length(name()) = 1]“) />

instead of

<cfset allLinks = XmlSearch(myXml, “//*[local-name()='a']“)>>

Cool!

sHtml = “

[body][p]hello world[/p][p]All your base are belong to us![/p][/body]

“;

Just replace the brackets ([ and ]) with greater than and less than characters.

Check out the jTidy Sourceforge forums. There’s a few discussions on the list of various DOM parsers that people have used.

Also, I should clarify and say that I have successfully used the jTidy DOM parser. It’s just not particular robust and can at times be frustrating to work with. I’m hacking this code together from CFC I wrote to give off an example, so I’m not sure it works as-is:

// an HTML string to parse
sHtml = “hello worldAll your base are belong to us!”;

// init jTidy
jTidy = createObject(“java”, “org.w3c.tidy.Tidy”);
jTidyConfigObj = createObject(“java”, “org.w3c.tidy.Configuration”);

// set configuration items
jTidy.setCharEncoding(jTidyConfigObj.utf8);
jTidy.setMakeClean(true);
jTidy.setDropFontTags(true);
jTidy.setXHTML(true);
jTidy.setRawOut(true);
jTidy.setSmartIndent(true);
jTidy.setWord2000(true);
jTidy.setDropEmptyParas(true);
jTidy.setShowWarnings(false);
jTidy.setFixComments(true);
jTidy.setQuiet(true);

// read the HTML string as a Java string
oReadBuffer = CreateObject(“java”,”java.lang.String”).init(sHtml).getBytes();
// convert string to ByteArrayInputStream–which is needed by jTidy
oHtmlBAIS = createobject(“java”,”java.io.ByteArrayInputStream”).init(oReadBuffer);

// do the parsing (take an input stream and make it print pretty)
oTidyDOM = jTidy.parseDOM(oHtmlBAIS, javaCast(“null”, “”));

// close the BAIS stream
oHtmlBAIS.close();

// get all the paragraph tags
oParagraphTags = oTidyDOM.getElementsByTagName(javaCast(“string”, “p”));

The “oParagraphTags” would contain all the p tags in the document.

I’ve actually used jTidy to create a CFC that converts HTML to a Plain Text document. I needed the functionality for e-mailing content from a knowledge base system for non-HTML based clients.

Do you know of any other DOM parsers that can be used ?