How can I read an HTML file into MATLAB and discard the HTML tags?

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I have an HTML file that I would like to read into MATLAB. However, I would like to discard the HTML tags and keep only the text from the file.

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MathWorks Support Team
MathWorks Support Team el 4 de En. de 2018
There is no function available in MATLAB that will read HTML files and remove the HTML tags. However, this can easily be accomplished by using Regular Expressions:
str = '<HTML>My flowers <b>may</b> <A HREF=''<http://www.a.com'' http://www.a.com''>>bloom in</A> May</HTML>';
pat = '<[^>]*>';
regexprep(str, pat, '')
An alternative method without the use of Regular Expressions involves scanning the HTML file, replacing *"*BR" tags with newline characters, as well as removing other tags. The attached example, fread_html.m, demonstrates one possible solution that handles a subset of HTML tags.
An alternative method of saving an html file without HTML formatting tags is accomplished through the use of ActiveX. The following code calls Microsoft Internet Explorer as an ActiveX automation server, copies the text of the supplied URL and stores the text into a MATLAB variable.
function str=CopyPasteIE(url);
ha = actxserver('internetexplorer.application');
Navigate(ha, url);
pause(3); % Pause to let the page load
ha.document.execCommand('selectall','','');
ha.document.execCommand('copy','','');
str=clipboard('paste');
Example usage: mystr=CopyPasteIE('http://www.google.com');
Note: The code provided in this example is for demonstration purposes and has not been throughly tested.
  5 comentarios
Walter Roberson
Walter Roberson el 24 de Abr. de 2021
You would probably use websave() or urlread()
Walter Roberson
Walter Roberson el 24 de Abr. de 2021
You might need webread() with some carefully constructed headers to authenticate yourself.

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Más respuestas (1)

Sean de Wolski
Sean de Wolski el 17 de Oct. de 2017
Editada: MathWorks Support Team el 19 de Mayo de 2023
  1 comentario
Walter Roberson
Walter Roberson el 22 de Oct. de 2017
That toolbox is new as of R2017b, and it also requires the Statistics and Machine Learning toolbox. If you already have the toolbox for other reasons then certainly use it, but if not then regexp() does fine.

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