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Is there a Python library that can parse Confluence page content?

My goal is to use the Confluence API to get the content of a page, parse it, edit it, and update that same page with the edited content.

At first, I assumed Confluence's storage format was HTML. Based on that, my original plan was to use Python's BeautifulSoup module to parse and edit the content once I retrieved it from the Confluence API. I now know that the Confluence page storage format is "XHTML-based". I've tried to parse it with various BeautifulSoup parsers (lxml, xml, html.parser) but they all get caught on the standard-breaking macro elements like this:

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="283daa7d-46af-4d6d-a177-a00b4a2bc342"><ac:plain-text-body><![CDATA[*\[CDRL:\]*]]></ac:plain-text-body></ac:structured-macro>

 

Is there a preferred method for parsing this?

1 answer

Hey Bill, thanks for your response.

Alas, while these 2 libraries are helpful wrappers for the Confluence API, as far as I can tell, neither have the ability to parse the XHTML that is pulled from the API representing the content of a page.

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