Hi!

For removing html tags, I would recommend using either a transliterate step or a regex matching step. 

Using the transliterate step you can do something like this:

And then when you test this out you should see that we removed the <p><p> tags in the cio_data column

The other way you can achieve this (I think the faster method) would be to use the regex matching step like so

When testing this out, we can see that it gives us just the data between the tags and no tags

<("a-zA-Z0-9_]+)>(+\S\s]*)<(*a-zA-Z0-9_]+)>

We can then see that $2 takes in our data without tags :)

Hope this helps!!-

Samuel

@Samuel Muvdi - Thanks for this will check and get back.

Hi @Karthikeyan, I’m closing this thread for now. If you have any follow-up questions please feel free to share them in the comments or create a new post ‍♀️