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On The Command Line
python-google-analytics comes with a command-line interface: the googleanalytics command. Use --help to find out more about how it works.
The command-line interface currently comes with four subcommands:
-
query: the raison d'être of this package, mostly equivalent in functionality to the Python package -
authorize: get a Google Analytics OAuth token, given a client id and secret (provided as arguments, or procured from the environment) -
revoke: revoke existing authentication, useful for debugging or when your existing tokens for some reason don't work anymore -
properties: explore your account -
columns: see what metrics, dimensions, segments et cetera are present
All the querying features you get in the Python interface are also available on the command-line:
# daily pageviews and session duration for the mobile audience
googleanalytics query 'pageviews,session duration' \
--segment 'mobile traffic' \
--start 2015-01-01 --stop 2015-01-31 \
--interval daily
googleanalytics --identity debrouwere --account Fusion --webproperty "Fusion (production)" \
query pageviews \
--start yesterday \
--limit 10 \
--dimensions pagepath \
--filter pagepathlevel2=/story/ \
--sort -pageviews \
--interval dayPick your output format – CSV, JSON, or the default ascii tables – with the --output flag:
googleanalytics query pageviews --output csvBecause queries require an account, webproperty and credentials to function, it might be a good idea to create aliases for your favorite account or accounts in your ~/.bashrc or similar:
alias fusion="googleanalytics --identity debrouwere --account Fusion --webproperty 'Fusion (production)'"
fusion query pageviews --start yesterdayYou'll find many more examples of how to query in both Python and on the command-line on the Querying and Common Queries wiki pages.
You may specify the client_id and client_secret on the commandline, optionally prefaced with a short and more easily-remembered name for this client.
If no client_id and client_secret are specified, these will be fetched from your environment variables or you will be prompted to enter them.
# look in environment variables, or prompt the user
googleanalytics authorize
# look in `GOOGLE_ANALYTICS_CLIENT_ID_DEBROUWERE`
# and `GOOGLE_ANALYTICS_CLIENT_SECRET_DEBROUWERE`
# environment variables, and save credentials
# under `debrouwere` in the keychain
googleanalytics authorize debrouwere
# specify client information on the command line
gash authorize debrouwere myid mysecretRevoke access to your account. You'll have to authorize again before google-analytics will be able to work with your data.
googleanalytics revoke debrouwere# show all of your accounts
googleanalytics --identity debrouwere properties
# show all of the web properties for an account
googleanalytics --identity debrouwere properties debrouwere
# show all of the profiles for a web property
googleanalytics --identity debrouwere properties debrouwere http://debrouwere.org# show all of the columns (metrics and dimensions) for a profile
googleanalytics --identity debrouwere columns
# find all metrics and dimensions that have "queried" or "pageviews" in their name
googleanalytics --identity debrouwere columns queried
googleanalytics --identity debrouwere columns pageviewsgoogleanalytics query metrics \
--blueprint ./examples/query.yaml- Authentication
- Querying
- Common Queries
- Working With Reports
- On The Command Line
- Python API documentation