https://github.com/joshgachnang/fantasy

Tools for scraping fantasy stats, current Fantasy Football from ESPN.
https://github.com/joshgachnang/fantasy

Last synced: 8 days ago
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Tools for scraping fantasy stats, current Fantasy Football from ESPN.

• Host: GitHub
• URL: https://github.com/joshgachnang/fantasy
• Owner: joshgachnang
• License: mit
• Created: 2014-08-30T18:31:20.000Z (about 10 years ago)
• Default Branch: master
• Last Pushed: 2014-09-15T06:31:05.000Z (about 10 years ago)
• Last Synced: 2024-11-02T13:11:39.156Z (15 days ago)
• Language: Python
• Size: 246 KB
• Stars: 18
• Watchers: 5
• Forks: 5
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
fantasy

=======

Tools for scraping fantasy stats, current Fantasy Football from ESPN.

Currently supports Python 2.7, 3.3, 3.4, and PyPy.

Released under MIT License

[![Build Status](https://travis-ci.org/pcsforeducation/fantasy.svg)](https://travis-ci.org/pcsforeducation/fantasy)

Scoreboard

----------

    from fantasy import scoreboard

    

    scoreboard.scrape(league_id=XXX, team_id=1, year=2014)

    

    >>> {'abbr': u'DIX',

         'league': u'The League',

         'name': u'LOL Clinton-Dix ',

         'owner': u'Josh Gachnang',

         'opponent': "Smoking Weeden (Brian Hoyer)",

         'position': u'3rd',

         'record': u'1-0'}

Standings

---------

    from fantasy import standings

    

    standings.scrape(league_id=XXX, year=2013)

    

    >>> [{'streak': u'W4',

         'games_behind': u'--',

         'name': 'Hoyer The Destroyed',

         'points_against': u'1382',

         'wins': u'11', 

         'losses': u'3',

         'division_record': u'11-3-0',

         'home_record': u'6-1-0',

         'points_for': u'1744.1',

         'away_record': u'5-2-0',

         'owner': 'Josh Gachnang)',

         'ties': u'0',

         'percentage': u'.786'}

         ...]

         

Lineup

------

    from fantasy import lineup

    

    lineup.scrape(league_id=XXX, team_id=1, year=2014

    >>> [{'slot': u'QB',

          'name': u'Nick Foles',

          'ownership_change': u'+0',

          'average': u'17.7',

          'last_points': u'17.4',

          'player_rank': u'13',

          'opponent_rank': u'--',

          'projected_points': u'--',

          'team': u'Phi',

          'position': u'QB',

          'percent_starting': u'67.2',

          'percent_own': u'88.4',

          'points': u'282.6'

        },

        ...]

Tests

-----

Tests are run using tox. 

    pip install tox

    

    tox