Pytracking
Email open and click tracking library
Install / Use
/learn @powergo/PytrackingREADME
pytracking - Email Open and Click Tracking Library
:Authors: Power Go :Version: 0.2.3
This library provides a set of functions that provide open and click tracking when sending emails. This is particularly useful if you rely on an Email Service Provider (ESP) which does not provide open and click tracking.
The library only provides building blocks and does not handle the actual sending of email or the serving of tracking pixel and links, but it comes pretty close to this.
.. image:: https://github.com/powergo/pytracking/actions/workflows/test.yml/badge.svg :target: https://github.com/powergo/pytracking/actions/workflows/test.yml
.. image:: https://img.shields.io/pypi/v/pytracking.svg :target: https://pypi.python.org/pypi/pytracking
.. image:: https://img.shields.io/pypi/l/pytracking.svg
.. image:: https://img.shields.io/pypi/pyversions/pytracking.svg
.. contents:: Summary :backlinks: entry :local:
Overview
There are two main steps when tracking email opens and link clicks:
- Adding tracking information to emails
To track email opens, the generally accepted strategy is to add a small 1x1
transparent pixel at the end of an email. When a user opens an email, the email
client (e.g., gmail, outlook, thunderbird) will load the pixel by making a GET
request. The web server serving the request will then record the open and
notify the sender of the email.
To track link clicks, the generally accepted strategy is to rewrite links in an
email to change the destination to a proxy. Once a user clicks on the link, the
proxy redirects the user to the real link and notifies the sender of the email.
pytracking provides a stateless strategy to open and click tracking: all the
information you want to track are encoded in the pixel (open) and proxy (click)
URLs. For example, if you want to track the customer id and the transaction id
associated with a particular email, pytracking will encode this information in
the URL. When the user opens the email or clicks on a link, the customer id and
transaction id will be decoded and can then be sent to a webhook.
See the `Get Open Tracking Link`_ section for a quick example.
2. Handling email opens and link clicks
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Once a user opens an email or clicks on a link, the email client will send a
request to the encoded URL. Your web server will receive such request and pass
it to pytracking, which will decode the tracking information. You can then use
the tracking information directly (e.g., update your tracking database) or you
can send the information to a webhook.
In the case of link tracking, the decoded information will contain the original
URL that you must redirect the email client to.
See the `Get Open Tracking Data from URL`_ section for a quick example.
Optional Major Features provided by pytracking
-
Encryption: pytracking uses base 64 to encode your tracking information, which can be decoded by anyone. You can optionaly encrypt your tracking information, which can only be decoded if you have the key. See the
Encrypting Data_ section for more information. -
HTML modification: pytracking can modify an HTML email to replace all links and add a tracking pixel. See the
Modifying HTML emails to add tracking links_ section. -
Django: if you use Django to serve open and click tracking URLs, you can extend pytracking Django views, which already provides the redirect and pixel serving. See the
Using pytracking with Django_ section. -
Webhooks: pytracking offers a shortcut function to make a POST request to a webhook. See the
Notifying Webhooks_ section.
Requirements
pytracking works with Python 3.6+. It doesn't require any external library, but there are many optional features that have dependencies.
Installation
You can install pytracking using pip:
::
pip install pytracking
You can install specific features with extras:
::
pip install pytracking[django,crypto]
You can also install all features:
::
pip install pytracking[all]
Basic Library Usage
You can generate two kinds of tracking links with pytracking: a link to a transparent tracking pixel and a link that redirects to another link.
Encoding
You can encode metadata in both kinds of links. For example, you can associate
a customer id with a click tracking link so when the customer clicks on the
link, you'll know exactly which customer clicked on it.
pylinktracking implements a stateless tracking strategy: all necessary
information can be encoded in the tracking links. You can optionally keep
common settings (e.g., default metadata to associate with all links, webhook
URL) in a separate configuration.
The information is encoded using url-safe base64 so anyone intercepting your
links, including your customers, could potentially decode the information. You
can optionally encrypt the tracking information (see below).
Most functions take as a parameter a ``pytracking.Configuration``
instance that tells how to generate the links. You can also pass the
configuration parameters as ``**kwargs`` argument or can mix both: the kwargs
will override the configuration parameters.
Decoding
Once you get a request from a tracking link, you can use pytracking to decode
the link and get a pytracking.TrackingResult instance, which contains
information such as the link to redirect to (if it's a click tracking link),
the associated metadata, the webhook URL to notify, etc.
Basic Library Examples
Get Open Tracking Link
::
import pytracking
open_tracking_url = pytracking.get_open_tracking_url(
{"customer_id": 1}, base_open_tracking_url="https://trackingdomain.com/path/",
webhook_url="http://requestb.in/123", include_webhook_url=True)
# This will produce a URL such as:
# https://trackingdomain.com/path/e30203jhd9239754jh21387293jhf989sda=
Get Open Tracking Link with Configuration
::
import pytracking
configuration = pytracking.Configuration(
base_open_tracking_url="https://trackingdomain.com/path/",
webhook_url="http://requestb.in/123",
include_webhook_url=False)
open_tracking_url = pytracking.get_open_tracking_url(
{"customer_id": 1}, configuration=configuration)
# This will produce a URL such as:
# https://trackingdomain.com/path/e30203jhd9239754jh21387293jhf989sda=
Get Click Tracking Link
::
import pytracking
click_tracking_url = pytracking.get_click_tracking_url(
"http://www.example.com/?query=value", {"customer_id": 1},
base_click_tracking_url="https://trackingdomain.com/path/",
webhook_url="http://requestb.in/123", include_webhook_url=True)
# This will produce a URL such as:
# https://trackingdomain.com/path/e30203jhd9239754jh21387293jhf989sda=
Get Open Tracking Data from URL
::
import pytracking
full_url = "https://trackingdomain.com/path/e30203jhd9239754jh21387293jhf989sda="
tracking_result = pytracking.get_open_tracking_result(
full_url, base_open_tracking_url="https://trackingdomain.com/path/")
# Metadata is in tracking_result.metadata
# Webhook URL is in tracking_result.webhook_url
Get Click Tracking Data from URL
::
import pytracking
full_url = "https://trackingdomain.com/path/e30203jhd9239754jh21387293jhf989sda="
tracking_result = pytracking.get_click_tracking_result(
full_url, base_click_tracking_url="https://trackingdomain.com/path/")
# Metadata is in tracking_result.metadata
# Webhook URL is in tracking_result.webhook_url
# Tracked URL to redirect to is in tracking_result.tracked_url
Get a 1x1 transparent PNG pixel
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
::
import pytracking
(pixel_byte_string, mime_type) = pytracking.get_open_tracking_pixel()
Encrypting Data
---------------
You can encrypt your encoded data to prevent third parties from accessing the
tracking data encoded in your link.
To use the encryption feature, you must install pytracking with
``pytracking[crypto]``, which uses the `cryptography Python library
<https://cryptography.io/en/latest/>`_.
Encrypting your data slightly increases the length of the generated URL.
::
import pytracking
from cryptography.fernet import Fernet
key = Fernet.generate_key()
# Encode
click_tracking_url = pytracking.get_click_tracking_url(
"http://www.example.com/?query=value", {"customer_id": 1},
base_click_tracking_url="https://trackingdomain.com/path/",
webhook_url="http://requestb.in/123", include_webhook_url=True,
encryption_bytestring_key=key)
# Decode
tracking_result = pytracking.get_open_tracking_result(
full_url, base_click_tracking_url="https://trackingdomain.com/path/",
encryption_bytestring_key=key)
Using pytracking with Django
----------------------------
pytracking comes with View classes that you can extend and that handle open and
click tracking link request.
For example, the ``pytracking.django.OpenTrackingView`` will return a 1x1
transparent PNG pixel for GET requests. The
``pytracking.django.ClickTrackingView`` will return a 302 redirect response to
the tracked URL.
Both views will return a 404 response if the tracking URL is invalid. Both
views will capture the user agent and the user ip of the request. This
information will be available in TrackingResult.request_data.
You can extend both views to determine what to do with the tracking result
(e.g., call a webhook or submit a task to a celery queue). Finally, you can
encode your configuration
