Medium makes content readily available for machine consumption through the format=json param, and content feeds via the feeds path, however the XML and JSON responses are not exactly plug-and-play for redisplaying content. Enter this package.
via pip with
pip3 install mediummuncher
Getting a story as stand-alone HTML (with head and body tags)
from medium_muncher import MediumMuncher
muncher = MediumMuncher()
full_html=muncher.munch_story('https://medium.com/some-author/some-amazing-article-039525')
#returns "<!doctype html><head>... "
Getting a story as an html snippet (no head or body)
html_snippet=muncher.munch_story('https://medium.com/some-author/some-amazing-article-039525',snippet=True)
#returns "<p>article text!..."
Using the verbose flag returns a tuple with the html and a dictionary of interesting article attributes such as title, published date etc.
html_snippet=muncher.munch_story('https://medium.com/some-author/some-amazing-article-039525',snippet=True, verbose=True)
#returns tuple ("<p>article text!...", {"title":"this amazing article"...,)
Getting all the story urls for a given author
stories=muncher.munch_author_feed('some-author')
#returns tuple ("https://medium.com/some-author/amazing-article-one-12902990",..,)
Putting it all together to extract all stories for a given author
stories=list()
for url in muncher.munch_author_feed('ethan.m.knox'):
stories.append(muncher.munch_story( url,
snippet=True,
verbose=True))
print(list)
Please feel free to fork and PR! Can always use another helping hand.