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Collect and store Facebook Insights metrics using Django models.

Project description

Collect and store Facebook Insights metrics using Django models.

This app provides a flexible abstract model with method fetch(). It gets all required metrics with a single batch request to Graph API and puts them into your child model’s fields.


  • Django 1.7 to 1.10 on Python 2.7
  • Django 1.8 to 1.10 on Python 3.4 and 3.5
  • facebook-sdk 1.0.0+


Install the app with pip:

$ pip install django-facebook-insights

Add ‘facebook_insights’ to your INSTALLED_APPS setting:


Finally, provide a valid access token with the ‘read_insights’ permission using setting FACEBOOK_INSIGHTS_ACCESS_TOKEN.

Usage example

In the simplest case, all you need to do is to write code similar to the one below:

from django.db import models
from facebook_insights.models import Insights

# Inherit from the abstract 'Insights' model
class PostInsights(Insights):
    # List metrics you're intrested in
    METRICS = [
    # Define field 'graph_id' to hold the Facebook ids of objects
    graph_id = models.CharField(max_length=100)
    # Define fields to store the metrics
    impressions = models.PositiveIntegerField()
    impressions_unique = models.PositiveIntegerField()
    stories = models.PositiveIntegerField()
    stories_by_action_type = models.CharField(max_length=100)


If you want to use a different name for the graph id field, change attribute GRAPH_ID_FIELD to the desired value.

Now, you can instantiate the model and call fetch() to get the metrics from Facebook’s servers:

>>> post_insights = PostInsights(graph_id=your_post_id)
>>> post_insights.fetch()
>>> post_insights.impressions
>>> post_insights.impressions_unique
>>> post_insights.stories
>>> post_insights.stories_by_action_type
'{"like": 40, "share": 30, "comment": 30}'

Mapping metrics to fields

To figure out which metrics belong to which fields, the app uses the following simple algorithm:

  • Take the metric name as the base name.
  • Remove the object type prefix ('post_', 'page_' or 'domain_'), if attribute REMOVE_PREFIX is set to True (the default). The prefix is removed, so we can, for instance, access the ‘post_impressions’ metric as post_insights.impressions instead of post_insights.post_impressions.


The full list of metrics with their periods can be found in Graph API Reference on Object Insights.

If you want to use a more complex algorithm, you need to override the get_field_name() method.

Extracting field values

Values associated with page metrics are quite complex. They are available for several periods (e.g. day, week, 28 days) and include data for 3 consecutive days. By contrast, values of most of post metrics are available only for one period (lifetime) and represent the current state of things.

The extraction of metric values is the responsibility of the get_field_value() method. The default implementation works as follows:

  • If a metric has several periods, return the dictionary of mappings between the periods and the last available values for these periods serialized into JSON, for example, ‘{“day”: 10, “week”: 70, “days_28”: 300”}’. The data for previous days are discarded.
  • If a metric is provided only for a single period, then simply return the value (serialize, if it’s not a number).

Feel free to override the method, if you want something else.

Reporting bugs

If you’ve found a bug:

Contributing code

  • Fork the project on GitHub to your account.

  • Clone the repository:

    $ git clone
  • Setup a virtual environment:

    $ virtualenv venv
    $ source venv/bin/activate
    $ pip install -U pip
    $ pip install django
    $ pip install -r requirements.txt
  • In directory ‘tests’ create a file named ‘’. In this file, set

    the FACEBOOK_INSIGHTS_ACCESS_TOKEN setting’. Alternatively, define an environment variable with the same name.

  • Run tests to ensure everything is OK:

    $ python

    You can use -h or –help to see options available to the script.

  • Create a topic branch and commit your changes there.

  • Push the branch up to GitHub.

  • Create a new pull request.

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