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.

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

Create main MySportsFeeds object with API version as input parameter

For v1.x feed requests (free non-commercial access available):

from ohmysportsfeedspy import MySportsFeeds
msf = MySportsFeeds(version="1.2")

For v2.0 feed requests (donation required for non-commercial access):

from ohmysportsfeedspy import MySportsFeeds
msf = MySportsFeeds(version="2.0")

Authenticate for v1.x (uses your MySportsFeeds account password)

msf.authenticate("<YOUR_API_KEY>", "<YOUR_PASSWORD>")

Authenticate for v2.0 (simply uses "MYSPORTSFEEDS" as password)

msf.authenticate("YOUR_API_KEY", "MYSPORTSFEEDS")

Now you can start making requests, specifying: league, season, feed, format, and any other applicable params for the feed

Example (v1.x): 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')

Example (v1.x): 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')

Example (v1.x): 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')

Example (v2.x): 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='seasonal_player_gamelogs',format='json',player='stephen-curry')

Example (v2.x): Get full game schedule and scores for the MLB 2016 playoff season, in CSV format

 output = msf.msf_get_data(league='mlb',season='2016-playoff',feed='seasonal_games',format='csv')

Non-successful response codes can be handled using a snippet like below:

try:
 output = msf.get_data(...)
except Warning as e:
 status_code = e.args[1]
 ... # Add logic to handle status codes other than 200 and 304 here

That's it! Returned data is also stored locally under "results/" by default, in appropriately named files.