Python library

In MyTracker, you can use a Python library for even more convenient tracking of data through API requests. You can download raw data, reports and segments in just a few code lines.

Only account owners and users with the granted export permissions can export raw data and segments from the account. For details, see User management.

Using Python library

Before start working with the Python library:

To install the library:

pip install mytracker-export-api

Find the Python library in the GitHub repository.

Exporting raw data

Use your API User ID and API Secret Key along with the required raw data parameters, selectors, and events to export raw data:


from mytracker_export_api import MyTracker

API_USER_ID = 123
API_SECRET_KEY = 'AaBbCc'

params = {
    'dateFrom': '2022-05-01',
    'dateTo': '2022-05-31',
    'selectors': 'idAdEventTypeTitle,tsClick,tsView,dtEvent,tsEvent,idPartnerTitle,advertisingId',
    'idApp': 2,
    'event': 'installs'
}

client = MyTracker(api_user_id=API_USER_ID, api_secret_key=API_SECRET_KEY)
raw_data = client.get_raw_data(params)
raw_data.head()

The result will be returned in Pandas DataFormat by default:

idAdEventTypeTitle tsClick tsView dtEvent tsEvent idPartnerTitle advertisingId
0 Unknown 0 0 2022-05-31 1010101010 Organic 00000000-0000-0000-0000-000000000000
1 Unknown 0 0 2022-05-30 2020202020 Organic 00000000-0000-0000-0000-000000000000
2 Unknown 0 0 2022-05-31 3030303030 Organic 00000000-0000-0000-0000-000000000000
3 Unknown 0 0 2022-05-14 4040404040 Organic 00000000-0000-0000-0000-000000000000
4 Unknown 0 0 2022-05-29 5050505050 Organic 00000000-0000-0000-0000-000000000000

If you want to save the table as a CSV file, use raw_data.to_csv:

raw_data.to_csv('raw_data.csv', index=False)

If you want to receive a response from a server and not a default DataFrame, use the return_df=False value:

response = client.get_raw_data(params, return_df=False)
print(response)

In this case, the response will be the following:

{'code': 200,
    'data': {'idRawExport': '11040581',
        'status': 'Success!',
        'files': [{'link': 'https://somelink.csv.gz',
            'timestampExpires': '1655975434'}]},
    'message': 'Ok'}

If there is an error occurred in a request, then the MyTrackerError exception with a server response and error details will be requested.

Exporting reports

Use your API User ID and API Secret Key along with the required parameters and selectors to export reports:


    from mytracker_export_api import MyTracker

    API_USER_ID = 123
    API_SECRET_KEY = 'AaBbCc'

    params = {
        'settings[selectors]': 'date,idPartner,sumCampaignCost',
        'settings[filter][date][from]': '2022-06-01',
        'settings[filter][date][to]': '2022-06-10',
        'settings[filter][dimension][idApp][value][]': [1, 2, 3],
        'settings[filter][dimension][idPartner][value][]': [10006, 10008],
        'settings[idCurrency]': 840,
        'settings[tz]': 'Europe/Moscow',
        'settings[precision]': 5,
        'settings[retIndent]': 3600,
    }

    client = MyTracker(api_user_id=API_USER_ID, api_secret_key=API_SECRET_KEY)
    report = client.get_report(params)
    report.head()

To get data for multiple applications, add square brackets to the key 'idApp[]': [1, 2, 3] or separate the desired values in the string with commas 'idApp': '1,2,3'.

Date Partner Campaign cost
0 2022-06-01 Google Ads (AdWords) 33097.9940
1 2022-06-01 Facebook 7877.1799
2 2022-06-02 Google Ads (AdWords) 31768.5755
3 2022-06-02 Facebook 6858.8901
4 2022-06-03 Google Ads (AdWords) 30292.7189

If you want to save the table as a CSV file, use report.to_csv:

report.to_csv('report.csv', index=False)

If you want to receive a response from a server and not a default DataFrame, use the return_df=False value:

response = client.get_report(params, return_df=False)
print(response)

In this case, the response will be the following:

{'code': 200,
    'data': {'idReportFile': '1394792',
        'status': 'Success!',
        'files': [{'link': 'https://somelink.csv.gz',
            'timestampExpires': '1655977002'}]},
    'message': 'Ok'}

If there is an error occurred in a request, then the MyTrackerError exception with a server response and error details will be requested.

Exporting segment

Use your API User ID and API Secret Key along with the required parameters to export segments:


    from mytracker_export_api import MyTracker

    API_USER_ID = 123
    API_SECRET_KEY = 'AaBbCc'

    params = {
        'idSegment': 1111,
        'requestFields': 'idfa,gaid',
        'includeHeaderLine': 1,
        'registerType': 0,
        'hashType': 0
    }

    client = MyTracker(api_user_id=API_USER_ID, api_secret_key=API_SECRET_KEY)
    response = client.get_segment(params)
    print(response)

When exporting segments, you receive only a response from a server:

{'code': 200,
    'data': {'idSegmentExport': '16',
        'status': 'Success!',
            'files': [{'link': 'https://somelink.csv.gz',
            'timestampExpires': '1655392109'}]},
    'message': 'Ok'}

If there is an error occurred in a request, then the MyTrackerError exception with a server response and error details will be requested.