Skip to main content

Python API wrapper for the Yahoo Fantasy Sports public API.

Project description

YFPY - Yahoo Fantasy Sports API Wrapper

Python API wrapper for the Yahoo Fantasy Sports public API

Author: Wren J. R. (uberfastman)

GitHub release (latest SemVer) GitHub tag (latest SemVer) GitHub Workflow Status (with event)


Do you like the YFPY API wrapper? Star the repository on GitHub and please consider helping support its ongoing development:

Cryptocurrency Address
Bitcoin (BTC) bc1qataspvklhewtswm357m0677q4raag5new2xt3e
Ethereum (ETH) 0x5eAa522e66a90577D49e9E72f253EC952CDB4059

Detailed documentation on YFPY can be found at

Table of Contents


YFPY is a comprehensive wrapper around the Yahoo Fantasy Sports API. It allows for easy retrieval and parsing of almost any data you might wish to extract and use from any Yahoo fantasy league to which your Yahoo account has access (or for public leagues). The primary focus of this wrapper is on fantasy football (NFL), but it also supports usage with fantasy hockey (NHL), fantasy baseball (MLB), and fantasy basketball (NBA).



  • If you wish to use YFPY within another project, from within your project directory, run

    pip install yfpy

    or add yfpy to your project requirements.txt.


  • If you wish to download and use YFPY locally, clone the git repository:
    git clone


Yahoo Developer Network App

In order to use YFPY with private fantasy leagues, you must set up an app on your Yahoo account to allow access. Follow the step-by-step guide below for instructions on how to do so, or see Getting Started in the Yahoo Developer Network docs for more details.

Note: If you are only planning on using YFPY to pull "read only" data from public leagues, you do not need to do this.

  • Log in to a Yahoo account with access to whatever fantasy leagues from which you wish to retrieve data.
  • Go to and create an app (you must be logged into your Yahoo account as stated above). For the app, select the following options:
    • Application Name (Required): yfpy (you can name your app whatever you want, but this is just an example).
    • Application Type (Required): select the Installed Application radio button.
    • Description (Optional): you may write a short description of what the app does.
    • Home Page URL (Optional): if you have a web address related to your app you may add it here.
    • Redirect URI(s) (Required): this field must contain a valid redirect address, so you can use https://localhost:8080
    • API Permissions (Required): check the Fantasy Sports checkbox. You can leave the Read option selected (appears in an accordion expansion underneath the Fantasy Sports checkbox once you select it).
    • Click the Create App button.
    • Once the app is created, it should redirect you to a page for your app, which will show both a Client ID and a Client Secret.
    • Make a copy of auth/private.template.json, rename it to just private.json, and copy the Client ID and Client Secret values to their respective fields (make sure the strings are wrapped regular quotes (""), NOT formatted quotes (“”)). The path to this file will be needed to point YFPY to your credentials.
    • Now you should be ready to initialize the OAuth2 connection between YFPY your Yahoo account.



  • Follow the instructions in the Installation and Setup sections.
  • The first time you use YFPY, a browser window will open up asking you to allow your app to access your Yahoo fantasy sports data. You MUST hit allow, and then copy the verification code that pops up into the command line prompt where it will now be asking for verification, hit enter, and the OAuth2 three-legged handshake should be complete and your data should have been successfully retrieved.
  • YFPY should have now generated a token.json for you in the same directory where you stored your private.json credentials, and for all subsequent runs of your app, you should be able to keep retrieving Yahoo fantasy sports data using YFPY without re-verifying, since the generated refresh token should now just renew whenever you use the same token.json file to authenticate your app.

Querying the Yahoo Fantasy Sports API

  • See the documentation on the yfpy.query.YahooFantasySportsQuery class for example usage of all available queries.
  • See quickstart/ for example usage output.
    • Uncomment/comment out whichever configuration values in their respective functions with which you wish to experiment.
    • Uncomment/comment out whichever query lines in the RUN QUERIES section you wish to run.
    • Uncomment/comment out whichever query lines in the CHECK FOR MISSING DATA FIELDS section you wish to check for any new/missing data fields returned by the Yahoo Sports Fantasy Football API.


YFPY can be used within Docker for a more seamless, platform-agnostic experience.

  • Run the Docker container (pulls the YFPY Docker image from GitHub Package Registry):
    docker compose up
  • You can then run commands in the Docker container in two different ways:
    • Connect to the running container and run commands from within it:
      docker exec -it yfpy-package-1 bash
      python quickstart/
    • Send commands to the running container from your host machine:
      docker exec -i yfpy-package-1 bash -c "python quickstart/"
Docker Development (optional)
  • Run the Docker container for local development (mount all local code into container):
    docker compose -f compose.yaml -f up
Docker Image Deployment

See for Docker image deployment.


YFPY has a collection of fully functional code snippets that can be run using pytest. These snippets demonstrate how to use YFPY to retrieve your Yahoo Fantasy Sports data.


  • See the test/unit directory for example code snippets using pytest.


  • See the test/integration directory for example code snippets using pytest.
  • Before running any integration tests, make a copy of auth/.env.template in the auth/ directory and rename it to .env.
  • Copy your Yahoo Client ID and Client Secret into the environment variables in .env so that pytest can use them when hitting the Yahoo Fantasy Sports API.
  • If this is the first time running pytest with your Yahoo API credentials, you MUST allow interactive prompts within pytest by using the -s flag.
  • The fixture values in test/integration/ are defined in quickstart/, and can be changed for testing by uncommenting/commenting out the values inside each respective function.


  • You can invoke all pytest tests (both integration test and unit tests) by running the below from the root directory:
    • pytest -v -s
  • If you want to run only the unit tests, you can run:
    • pytest -v -s -m unit
  • If you want to run only the integration tests, you can run:
    • pytest -v -s -m integration



YFPY has only been tested extensively on macOS, but is written to be platform-agnostic, and seems to work without issue on Windows and Linux.


YFPY requires Python 3.8 or later, and has been tested through Python 3.11.


Direct project dependencies can be viewed in requirements.txt, and additional development and build dependencies (not including transitive dependencies) can be viewed in requirements-dev.txt.


Yahoo Fantasy Sports API

Occasionally when you use the Yahoo Fantasy Sports API, there are hangups on the other end that can cause data not to transmit, and you might encounter an error similar to this:

Traceback (most recent call last):
  File "", line 114, in <module>
    var =
  File "/Users/your_username/PATH/T0/LOCAL/PROJECT/", line 429, in run
    for team in team_standings:
IndexError: list index out of range

Typically, when the above error (or a similar error) occurs, it simply means that one of the Yahoo Fantasy Sports API calls failed and so no data was retrieved. This can be fixed by simply re-running data query.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

yfpy-15.0.3.tar.gz (67.1 kB view hashes)

Uploaded source

Built Distribution

yfpy-15.0.3-py3-none-any.whl (65.7 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page