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