Skip to main content

Manage Adobe Analytics Reports API v2 requests to build reports programmatically.

Project description

Adobe Analytics Python package

Download Reports data utilising the Adobe.io version 2.0 API.

For more Digital Analytics related reading, check https://analyticsmayhem.com

Requirements

Adobe.io access

In order to run the package, first you need to gain access to a service account from Adobe.io. The method used is JWT authentication. More instructions on how to create the integration at: https://www.adobe.io/authentication/auth-methods.html#!AdobeDocs/adobeio-auth/master/JWT/JWT.md. After you have completed the integration, you will need to have available the following information:

  • Organization ID (issuer): It is in the format of < organisation id >@AdobeOrg
  • Technical Account ID: < tech account id >@techacct.adobe.com
  • Client ID: Information is available on the completion of the Service Account integration
  • Client Secret: Information is available on the completion of the Service Account integration
  • Account ID: Instructions on how to obtain it at https://youtu.be/lrg1MuVi0Fo?t=96
  • Report suite: Report suite ID from which you want to download the data.

Make sure that the integration is associated with an Adobe Analytics product profile that is granted access to the necessary metrics and dimensions.

Package installation

pip install analytics-mayhem-adobe

Samples

Initial setup

After you have configured the integration and downloaded the package, the following setup is needed:

from analytics.mayhem.adobe import analytics_client

adobe_org_id = '<adobe org id>@AdobeOrg'
subject_account = '<technical account id>@techacct.adobe.com'
client_id = '<client id>'
client_secret = '<client secret>'
private_key_location = '.ssh/adobe-auth/private.key'
account_id = '<account id>'
report_suite_id = '<report suite>'

Next initialise the Adobe client:

aa = analytics_client( \
    adobe_org_id = adobe_org_id, \
    subject_account = subject_account, \
    client_id = client_id, client_secret = client_secret, \
    account_id = account_id, \
    private_key_location = private_key_location)

Set the date range of the report (format: YYYY-MM-DD)

aa.set_date_range(date_start = '2019-12-01', date_end= '2019-12-31')

Request with 3 metrics and 1 dimension

aa.add_metric(metric_name= 'metrics/visits')
aa.add_metric(metric_name= 'metrics/orders')
aa.add_metric(metric_name= 'metrics/event1')
aa.add_dimension(dimension_name = 'variables/mobiledevicetype')
data = aa.get_report()

Output:

itemId_lvl_1 value_lvl_1 metrics/visits metrics/orders metrics/event1
0 Other 5000 3 100
1728229488 Tablet 200 45 30
2163986270 Mobile Phone 49 23 31
... ... ... ... ...

Request with 3 metrics and 2 dimensions

aa.add_metric(metric_name= 'metrics/visits')
aa.add_metric(metric_name= 'metrics/orders')
aa.add_metric(metric_name= 'metrics/event1')
aa.add_dimension(dimension_name = 'variables/mobiledevicetype')
aa.add_dimension(dimension_name = 'variables/lasttouchchannel')
data = aa.get_report_multiple_breakdowns()

Output: Each item in level 1 (i.e. Tablet) is broken down by the dimension in level 2 (i.e. Last Touch Channel). The package downloads all possible combinations. In a similar fashion more dimensions can be added.

itemId_lvl_1 value_lvl_1 itemId_lvl_2 value_lvl_2 metrics/visits metrics/orders metrics/event1
0 Other 1 Paid Search 233 39 10
0 Other 2 Natural Search 424 12 412
0 Other 3 Display 840 41 31
... ... ... ... ... ... ...
1728229488 Tablet 1 Paid Search 80 12 41
1728229488 Tablet 2 Natural Search 50 41 21
... ... ... ... ... ... ...

Global segments

To add a segment, you need the segment ID (currently only this option is supported). To obtain the ID, you need to activate the Adobe Analytics Workspace debugger (https://github.com/AdobeDocs/analytics-2.0-apis/blob/master/reporting-tricks.md). Then inspect the JSON request window and locate the segment ID under the 'globalFilters' object.

To apply the segment:

aa.add_global_segment(segment_id = "s1689_5ea0ca222b1c1747636dc970")

Issues, Bugs and Suggestions:

https://github.com/konosp/adobe-analytics-reports-api-v2.0/issues

Known missing features:

  • No support for filtering
  • No support for custom sorting

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

analytics_mayhem_adobe-0.0.5.tar.gz (10.7 kB view details)

Uploaded Source

Built Distribution

analytics_mayhem_adobe-0.0.5-py3-none-any.whl (9.5 kB view details)

Uploaded Python 3

File details

Details for the file analytics_mayhem_adobe-0.0.5.tar.gz.

File metadata

  • Download URL: analytics_mayhem_adobe-0.0.5.tar.gz
  • Upload date:
  • Size: 10.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.4

File hashes

Hashes for analytics_mayhem_adobe-0.0.5.tar.gz
Algorithm Hash digest
SHA256 9bd30b0df2590c69db2cd565c77b28c7a61f52fd2ffc354272fc75a7e24c35be
MD5 2684eb0558f41158303143df5ac720e1
BLAKE2b-256 1ebe2085667546b5d952c82d25e7cea986cfbf115f2429298d742b1e3da010b5

See more details on using hashes here.

File details

Details for the file analytics_mayhem_adobe-0.0.5-py3-none-any.whl.

File metadata

  • Download URL: analytics_mayhem_adobe-0.0.5-py3-none-any.whl
  • Upload date:
  • Size: 9.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.4

File hashes

Hashes for analytics_mayhem_adobe-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 57087f1533723ef8d87290603973bb73440fd1351dacd23823695496a67d5f35
MD5 54a8b433755d507e8df54a02b9a17a63
BLAKE2b-256 8b71dad495480e6dd4e7a708974354e6d69bcd4db06f35c90a616a6f0e4d660b

See more details on using hashes here.

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