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Python Microformats2 utilities, a companion to mf2py

Project description

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Microformats2 provides an extremely flexible way to mark up HTML documents, so that human-centric data is machine-discoverable. This utility can be used to interpret a microformatted post or event, for display as a comment or reply-context.

The library itself has no dependencies, but it won’t do you much good without an mf2 parser. I use and recommend mf2py.

Compatibility: Python 2.6, 2.7, 3.3+

License: Simplified BSD


I’ve done my best to create appropriate unit tests for this library, but it is very much alpha software at this point.

Install via pip

pip install mf2util

or add as a submodule to your own project.

I’ve used pytest for running unit tests (These are also run automatically by Travis-CI)

pip install pytest
python -m pytest

Quick Start

For received webmentions, use the method mf2util.interpret_comment. This will return a dictionary with the fields necessary to display the comment. For example:

import mf2py
import mf2util

# source_url = source_url of incoming webmention
# target_url = target_url of incoming webmention

parsed = mf2py.Parser(url=source_url).to_dict()
comment = mf2util.interpret_comment(parsed, source_url, [target_url])

# result
 'type': 'entry',
 'name': 'Re: How to make toast',
 'content': '<p>This solved my problem, thanks!</p>',
 'url': '',
 'published': datetime.datetime(2014, 11, 24, 13, 24)
 'author': {
  'name': 'John Doe',
  'url': '',
  'photo': ''
 'comment_type': ['reply']

When display reply-context, you may not know the precise type of the source document. Use the method mf2util.interpret to interpret the document, it will figure out the document’s primary h- type and return the appropriate fields for display. Currently supports h-entry and h-event style documents.

import mf2py
import mf2util

# reply_to_url = url being replied to

parsed = mf2py.Parser(url=rely_to_url).to_dict()
entry = mf2util.interpret(parsed, reply_to_url)

# result
 'type': 'event',
 'name': 'Homebrew Website Club',
 'start': datetime.datetime(2014, 5, 7, 18, 30),
 'end': datetime.datetime(2014, 5, 7, 19, 30),
 'content': '<p>Exchange information, swap ideas, talk shop, help work on a project ...</p>'

For most users, these two methods alone may be sufficient.


When processing an incoming webmention, you can use the mf2util.classify_comment method to classify it as a reply, like, or repost (or a combination thereof). The method returns a list of zero or more strings (one of ‘like’, ‘repost’, or ‘reply’).


import mf2py
import mf2util

# receive webmention from source_url to target_url
target_url = ''
alternate_url = ''
parsed = mf2py.Parser(url=source_url)
mentions = mf2util.classify_comment(parsed, [target_url, alternative_url])


The mf2util.parse_dt function is useful for parsing microformats2 dates and datetimes. It can be used as a microformats-specific alternative to larger, more general libraries like python-dateutil.

The definition for microformats2 dt-* properties are fairly lenient. This module will convert a mf2 date string into either a or datetime.datetime object. Datetimes will be naive unless a timezone is specified.

Timezones are specified as fixed offsets from UTC.


import mf2py
import mf2util

parsed = mf2py.Parser(url=)
publishedstr = parsed.to_dict()['items'][0]['properties']['published'][0]
published = mf2util.parse_dt(published)  # --> datetime.datetime


Use mf2py.find_author to determine an h-event’s author name, url, and photo. Uses the authorship algorithm described on the IndieWebCamp wiki.


If you find a bug or deficiency, feel free to file an issue, pull request, or just message me in the #indiewebcamp channel on freenode.

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