Package: python-adjust
Welcome to the python-adjustThis 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.RegardsThis project was inspired byadjustyDocumentationPlease find official documentation by:https://help.adjust.com/en/article/kpi-serviceQuickStartYour 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, underAccount Settings > Your Data > User Details. This is the user token we’ll be referring to for your authentication below.pip install python-adjustLet's retrieve list of applications accessible to youfromadjustapi.apiimportAdjustApiapi=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 workskpis_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 Dataframekpis_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 outthe documentation.If you have any questions feel free to addissuesor write to me.TODO: Add link to Airflow hook and operator for AdjustApi