python-adjust 1.0.3

Welcome to the python-adjust

This is an unofficial Python wrapper for the Adjust.com REST API. I am in no way affiliated with Adjust.com, use at your own risk.

Regards

This project was inspired by adjusty

Documentation

Please find official documentation by: https://help.adjust.com/en/article/kpi-service

QuickStart

Your access to the KPI Service is tied to your Adjust user account. Each user account has an associated user token, to allow you to individually control access to your KPIs.

You can find your own user token in the dashboard, under Account Settings > Your Data > User Details. This is the user token we’ll be referring to for your authentication below.

pip install python-adjust

Let's retrieve list of applications accessible to you

from adjustapi.api import AdjustApi

api = AdjustApi('USER_TOKEN')

apps = api.list_apps()

print(apps[0].name, apps[0].token, apps[0].id)
# Prints something like: "MyTestApp ft5popkfebns com.mytest.app"

This is how KPI API works

kpis_api = api.kpi_service(trackers=trackers,
                           start_date=start_date,
                           end_date=end_date,
                           countries=countries,
                           app_tokens=app_tokens,
                           kpis=kpis)
print(str(kpis_api.fetch_kpi()))
# prints: KpiResult(result_parameters=ResultParameters(kpis=['revenue'], start_date=datetime.date(2020, 4, 4), end_date=datetime.date(2020, 5, 4), sandbox=False, countries=['us'], events=None, trackers=[TrackerResultParameters(token='tsrdag', name='Facebook Installs::Expired Attributions', currency=None, has_subtrackers=False)], grouping=['trackers'], period=None, attribution_type='click', utc_offset='00:00', cohort_period_filter=None, day_def=None, attribution_source='dynamic'), result_set={'token': 'thomki', 'name': 'Facebook Installs', 'currency': 'USD', 'trackers': [{'token': 'tsodkg', 'kpi_values': [3627.54]}]})

print(str(kpis_api.fetch_events()))
# prints: KpiResult(result_parameters=ResultParameters(kpis=['revenue'], start_date=datetime.date(2020, 4, 4), end_date=datetime.date(2020, 5, 4), sandbox=False, countries=['us'], events=[EventParameter(name='com.test.subscription.name', token='s6p2ub'), EventParameter(name='event_name', token='eakvze'), EventParameter(name='event.name.2', token='5a6u7u'), EventParameter(name='event_name_3', token='e34v0e')], trackers=[TrackerResultParameters(token='6tcrta', name='Facebook Installs::Expired Attributions', currency=None, has_subtrackers=False)], grouping=['trackers', 'event_types'], period=None, attribution_type='click', utc_offset='00:00', cohort_period_filter=None, day_def=None, attribution_source='dynamic'), result_set={'token': 'thamsi', 'name': 'Facebook Installs', 'currency': 'USD', 'trackers': [{'token': 'tsrdta', 'events': [{'token': 'e6e2v1', 'kpi_values': [1149.77]}, {'token': 'ea3vpe', 'kpi_values': [95.88]}, {'token': 'e34v0e', 'kpi_values': [17.99]}, {'token': 'eovy8e', 'kpi_values': [147.63]}}]}]})

print(str(kpis_api.fetch_cohorts()))
# KpiResult(result_parameters=ResultParameters(kpis=['revenue'], start_date=datetime.date(2020, 4, 4), end_date=datetime.date(2020, 5, 4), sandbox=False, countries=['us'], events=None, trackers=[TrackerResultParameters(token='csodbh', name='Facebook Installs::Expired Attributions', currency=None, has_subtrackers=False)], grouping=['trackers', 'periods'], period='day', attribution_type='click', utc_offset='00:00', cohort_period_filter=None, day_def='24h', attribution_source='dynamic'), result_set={'token': 'chamsh', 'name': 'Facebook Installs', 'currency': 'USD', 'trackers': [{'token': 'cscoth', 'periods': [{'period': '0', 'kpi_values': [109.89]}}]}]})

But most of the time you need these data as table, so you can retrieve it as pandas Dataframe

kpis_api = api.kpi_service(trackers=trackers,
                           start_date=start_date,
                           end_date=end_date,
                           countries=countries,
                           app_tokens=app_tokens,
                           kpis=kpis)
print(str(kpis_api.fetch_kpi(as_df=True)))

# '  tracker_token                             tracker_name  revenue
# 0        tsrdag  Facebook Installs::Expired Attributions  3627.54'

For more check out the documentation.

If you have any questions feel free to add issues or write to me.

TODO: Add link to Airflow hook and operator for AdjustApi