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Easily collect data from Facebook APIs

Project description

A python package to easily collect data from Facebook Marketing API

Installation

Open a terminal and install pyfbook package. Your SSH key should be authorised on pyfook git repository

For github repository:

pip install git+ssh://git@github.com/[[repository_address]]/pyfbook.git

Configuration

Database

You need to configure a database to use pyfbook. Pyfbook required a dbstream object to work properly.

You can use pyred, pyzure or pybigquery depending on your database provider.

To define a dbstream object, you need to add in your environment the following variables

For Redshift:

export RED_[YOUR_PROJECT_NAME]_DATABASE="database_name"
export RED_[YOUR_PROJECT_NAME]_USERNAME="database_username"
export RED_[YOUR_PROJECT_NAME]_PASSWORD="database_password"
export RED_[YOUR_PROJECT_NAME]_HOST="database_host"
export RED_[YOUR_PROJECT_NAME]_PORT="database_port"

For Azure:

export AZURE_[YOUR_PROJECT_NAME]_DATABASE="database_name"
export AZURE_[YOUR_PROJECT_NAME]_USERNAME="database_username"
export AZURE_[YOUR_PROJECT_NAME]_PASSWORD="database_password"
export AZURE_[YOUR_PROJECT_NAME]_HOST="database_host"
export AZURE_[YOUR_PROJECT_NAME]_PORT="database_port"

Then you can init a dbstream object in your python code.

For Redshift:

# For Redshift
from pyred import RedDBStream as DBStream
# For Azure
from pyzure import AzureDBStream as DBStream


NAME = "[YOUR_PROJECT_NAME]"
CLIENT_ID = 1

datamart = DBStream(
    NAME,
    client_id=CLIENT_ID
)

Facebook Connector

Credentials

Add in your environment the following variables

export [CHOOSE A FACEBOOK APP_ID NAME REFERENCE] = “YOUR_FACEBOOK_APP_ID”
export [CHOOSE A FACEBOOK APP_SECRET NAME REFERENCE] = “YOUR_FACEBOOK_APP_SECRET”
export [CHOOSE A FACEBOOK ACCESSTOKEN NAME REFERENCE] = “YOUR_FACEBOOK_ACCESSTOKEN”

Config File

You need a .yaml config file to use pyfbook.

You can create a default one in your working directory with the following python code :

from pyfbook.FacebookReport import Facebook

Facebook()

Do not forget to update the schema_name. This is where everything will happen in you database!

Create a app_system_user object in your database

You need to execute the following python code

facebook = Facebook(config_path="[PATH_TO_YOUR_CONFIG_FILE]", dbstream=[YOUR DBSTREAM OBJECT])
facebook.create_app_system_user(
    app_id_name="APP_ID NAME REFERENCE",
    app_secret_name="APP_SECRET NAME REFERENCE",
    access_token_name="ACCESSTOKEN NAME REFERENCE"
 )

Specify Graph API version you want to use

By default, pyfbook use Graph API v8.0. You can change that by adding a DEFAULT_GRAPH_API_VERSION environment variable.

Get Facebook Data

Get All Ads Accounts

facebook.get_all_ad_accounts()

It will create a table with the list of ad accounts you have access to.

You can update the “active” field in this table to choose which account you want to recover the data.

Get Facebook Marketing Data - General Process

Pyfbook uses asynchronous reports to get data.

facebook.get(
    report_name=None,
    time_increment=None,
    start=None, end=None,
    list_account_ids=None
)

When you execute this python code, it will launch and fetch asynchronous reports.

Config Field

Your config field should look like the following:

schema_name: pyfbook_raw_data
reports:
  - name: account
    level: account
    fields:
      - impressions
      - spend
      - clicks
      - purchase
      - unique_clicks
      - reach
      - date_start
      - date_stop
      - account_id
    time_increments:
      - day
      - lifetime
    breakdowns:
      - country

You can list as many report as you want.

Results will be saved in [schema_name].[report_name]_[time_increment].

Config Date

You can specify start and end dates in your python ‘get’ function : ‘YYYY-MM-DD’.

Note

If nothing is specified :

  • If this reports was launched at least once before, start date will be :
    • Time increment = day: The max end date saved for this report minus 1 day
    • Other Time increment: The max end date saved for this report minus 28 days
  • First time report
    • You can specify a DEFAULT_START_DATE environment variable
    • If not start date will be current date minus 1 year
  • End date is current date

This process is done at account level.

Project details


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