Statcounter

Your convenient way to interact with Statcounter web analytics service
using Python

Manual

Installation

You can install this package from PyPi repository:

pip install statcounter

This package can run on Python 3 only (tested under Python 3.5 and
Python 3.6). Should also work on earlier Python 3 versions.
Python 2 is not supported and will not be supported in future
(However, PRs are welcome).

Usage

First of all, you need to retrieve API password to use the Statcounter API.
Use this link for that.
(Note: This is not the same as your user password!)

To start your work you need to initialize the Statcounter instance:

from statcounter import Statcounter
statcounter = Statcounter('username', 'your-api-password')

Retrieve Statistics

Let consider an example of retrieving summary statistics.

This retrieves summary statistics for all period for project with id=123:

stats = statcounter.summary(project_id=123)
print(stats)

You can get statistics for multiple projects:

stats = statcounter.summary(project_id=[123, 456])
print(stats)

To view the last 50 rows (the default value for n is 20):

stats = statcounter.summary(project_id=123, n=50)
print(stats)

Besides summary statistics, you are able to retrieve other types of
statistics supported by Statcounter service.
Available methods:

• recent_visitors
• popular_pages
• entry_pages
• exit_pages
• came_from
• recent_came_from
• recent_keyword_activity
• search_engines
• recent_pageload_activity
• visit_length
• keyword_analysis

For instance, this is the recent 50 visitors statistics with weekly date range:

stats = statcounter.recent_visitors(
                DEMO_PROJECT_ID,
                DateRange.weekly(2017, 1, 2017, 2),
                n=50
            )
print(stats)

Please, use documentation in Docstrings for each method for details.
We also encourage to read the official Statcounter
documentation about
statistics.

Date Range

You can retrieve stats using date range selection.
For instance, you want to retrieve stats from 1st week 2017 to 5th week 2017:

from statcounter import DateRange
statcounter.summary(
        project_id=123,
        date_range=DateRange.weekly(2017, 1, 2017, 5)
    )

Available DateRange methods: hourly, daily, weekly, monthly, quarterly, yearly

Projects

You are able to (see the appropriate method in brackets):

• create new project in Statcounter (create)
• Increase log size for the project (increase_log_size)
• Retrieve details for all projects (retrieve_projects_details)
• Retrieve details for the selected project (retrieve_selected_project_details)

This is the example of creating a new project:

statcounter.projects.create(
    website_title='Facebook',
    website_url='https://facebook.com'
)

For further details see docstrings and official Statcounter
(documentation)[http://statcounter.com/api/docs/v3#create-project].

Account details

There are two methods:

• retrieve_log_size - retrieve your current log size your payed plan
• retrieve_user_details - retrieve detailes about the user

Examples:

statcounter.account.retrieve_log_size()
statcounter.account.retrieve_user_details()