The GET request above, with parameters, is essentially equivalent to if you entered the following URL into a browser:Īnd then saved the resulting text (which notice is in a JSON format). Finally, store that week’s score information in scores as a dict in JSON format. Note: if we don’t specify the matchup period, it will default to the last week. To find your league ID, check the URL when you’re on your league’s page. Do a GET request to the API at with the endpoint scoreboard, and with parameters for the league ID, season, and matchup period. Initialize a dict called scores to hold score information.
Using the requests package for our GET request, let’s tap into the ESPN Fantasy API through the scoreboard endpoint: There are a number of online platforms where you can host your fantasy football league, but Yahoo and ESPN are the two heavyweights.
#Espn fantasy football how to
You should also check out my friend Dusty Turner’s excellent post about ESPN Fantasy scraping in R, and this Reddit discussion about the ESPN Fantasy API.ĬAVEAT: your league needs to be “public”, or you need to figure out how to send session cookies or login remotely, see end of this post.
My feeling is: I’d rather bake my own janky cake with all the toppings I want than buy the tasty more attractive cake from the store. Please see below for a comprehensive glossary so that you too can be fluent in Fantasy Football. So you can skip the hassle and just use this excellent work. Need a refresher on all of the Fantasy Football terms and lingo. Here’s a boxplot we’ll produce:īefore we get started, let the reader note there’s already a Python package out there that do a lot of what I describe below in a clean way: espnff. In a follow-on post, I’ll show how to get boxscores, and then how to deal with private leagues. Here's a collection of downloadable, printable cheat sheets for the 2022 fantasy football season, including PPR, non-PPR and dynasty/keeper leagues. Since the API is mysteriously undocumented, in this blog I’ll write down everything I’ve learned about the API, how to access different parts of it, and how to do that in Python and R. This means you can query a question like “what was the score of the week 1 game between ABC and XYZ” directly with a GET request and some JSON fiddling, no web “scraping” required. ESPN has an accessible, though undocumented, API for their Fantasy football database. Copy-paste data from a webpage? Do some expert-level web scraping? Your heart longs to analyze the scoring distribution in your league by week, by team, by player - to finally quantitatively question the predictive power of projected points - to confirm your hypothesis that you got an unfair slate of opponents in the pre-playoff weeks … and yet you know not how.
#Espn fantasy football code
Using the ESPN Fantasy Football API (in Python)ĮDIT: ESPN changed their Fantasy API to v3 in early 2019, so lots of v2 code from this post no longer works.
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