App Store Connect Api
This is a Python wrapper around the Apple App Store Api : https://developer.apple.com/documentation/appstoreconnectapi
So far, it handles token generation / expiration, methods for listing resources and downloading reports.
Installation
The project is published on PyPI, install with:
pip install appstoreconnect
Usage
Please follow instructions on Apple documentation on how to generate an API key.
With your key ID, key file (you can either pass the path to the file or the content of it as a string) and issuer ID create a new API instance:
from appstoreconnect import Api, UserRole
api = Api(key_id, path_to_key_file, issuer_id)
api = Api(key_id, path_to_key_file, issuer_id, proxy='http://1.2.3.4:3128')
api = Api(key_id, path_to_key_file, issuer_id, timeout=42)
Here are a few examples of API usage. For a complete list of available methods please see api.py.
apps = api.list_apps()
for app in apps:
print(app.name, app.sku)
apps = api.list_apps(sort='name')
apps = api.list_apps(filters={'sku': 'DINORUSH', 'name': 'Dino Rush'})
print("%d apps found" % len(apps))
app = api.read_app_information('1308363336')
print(app.name, app.sku, app.bundleId)
for group in app.betaGroups():
print(group.name)
for bundle_id in api.list_bundle_ids():
print(bundle_id.identifier)
for certificate in api.list_certificates():
print(certificate.name)
user = api.list_users(filters={'username': 'finance@nemoidstudio.com'})[0]
api.modify_user_account(user, roles=[UserRole.FINANCE, UserRole.ACCESS_TO_REPORTS])
api.download_sales_and_trends_reports(
filters={'vendorNumber': '123456789', 'frequency': 'WEEKLY', 'reportDate': '2019-06-09'}, save_to='report.csv')
api.download_finance_reports(filters={'vendorNumber': '123456789', 'reportDate': '2019-06'}, save_to='finance.csv')
Define a timeout (in seconds) after which an exception is raised if no response is received.
api = Api(key_id, path_to_key_file, issuer_id, timeout=30)
api.list_apps()
APIError: Read timeout after 30 seconds
Please note this is a work in progress, API is subject to change between versions.
Anonymous data collection
Starting with version 0.8.0 this library anonymously collects its usage to help better improve its development.
What we collect is:
- a SHA1 hash of the issuer_id
- the OS and Python version used
- which enpoints had been used
You can review the source code
If you feel uncomfortable with it you can completely opt-out by initliazing the API with:
api = Api(key_id, path_to_key_file, issuer_id, submit_stats=False)
The is also an open issue about this topic where we would love to here your feedback and best practices.
Development
Project development happens on Github
TODO
Credits
This project is developed by Ponytech