superss

RSS parsing with batteries included

feedparser is great, but sometimes it doesn't put things in the right place. superss fixes this by finding all known candidates for urls, content, images, tags, dates, and authors and intelligently picking the best candidate. It also does some other cool things like author parsing with lauteur, url reconciliation with siegfried, and pulling links and images out of the article html.

Another problem with RSS parsing is that feeds sometimes only include a summary of the article. superss can also extract the article's full text from the page itself with particle and merge this data with the data from the RSS feed.

Finally, some sites don't even have RSS feeds. In this case we combine pageone and particle to create a feed of articles from article urls on a site's homepage.

Install

pip install superss

Test

Requires nose. (only currently tests full_text rss feeds.)

nosetests

Usage

Full-Text Feeds

from superss import SupeRSS

s = SupeRSS('http://feeds.feedburner.com/publici_rss')
for entry in s.run():
  print entry

Non Full-Text Feeds

from superss import SupeRSS

s = SupeRSS('http://feeds.feedburner.com/publici_rss', is_full_text = False)
for entry in s.run():
  print entry

Feed from homepage

Experimental: Build a feed from a homepage. You must install pageone and particle to run this.

from superss import SupeRSS

s = SupeRSS(homepage = 'http://nytimes.com/')
for entry in s.run():
  print entry

Concurrency

Optionally run any function concurrently via gevent by passing in the kwargs concurrent and num_workers:

from superss import SupeRSS

s = SupeRSS(
  'http://feeds.feedburner.com/publici_rss', 
  is_full_text = False, 
  concurrent=True, 
  num_workers=10
  )
for entry in s.run():
  print entry