MySportsFeeds Python Wrapper brought to you by @MySportsFeeds.
Makes use of the MySportsFeeds API - a flexible, developer-friendly Sports Data API.
Free for Non-Commercial Use.
##Install
Clone repo, install requirements and run tests
$ git clone https://github.com/MySportsFeeds/mysportsfeeds-python.git
$ make build
OR
Use PIP install
$ pip install ohmysportsfeedspy
If you haven't signed up for API access, do so here https://www.mysportsfeeds.com/index.php/register/
##Usage
Create main MySportsFeeds object with API version as input parameter
from ohmysportsfeedspy import MySportsFeeds
msf = MySportsFeeds(version="1.0")
Authenticate (v1.0 uses your MySportsFeeds account credentials)
msf.authenticate("YOUR_USERNAME", "YOUR_PASSWORD")
Start making requests, specifying: league, season, feed, format, and any other applicable params for the feed
Get all NBA 2016-2017 regular season gamelogs for Stephen Curry, in JSON format
output = msf.msf_get_data(league='nba',season='2016-2017-regular',feed='player_gamelogs',format='json',player='stephen-curry')
Get all NFL 2015-2016 regular season seasonal stats totals for all Dallas Cowboys players, in XML format
output = msf.msf_get_data(league='nfl',season='2015-2016-regular',feed='cumulative_player_stats',format='xml',team='dallas-cowboys')
Get full game schedule for the MLB 2016 playoff season, in CSV format
output = msf.msf_get_data(league='mlb',season='2016-playoff',feed='full_game_schedule',format='csv')
That's it! Returned data is also stored locally under "results/" by default, in appropriately named files.