Monitor failed payments for your Python application

LogSnag is a powerful event tracking tool that makes it easy to track events across your Python application.

These days, many Python applications are served via a subscription model where users pay a monthly or yearly fee to use the application. These applications are called SaaS or Software as a Service application. In these applications, users are usually charged a recurring monthly or yearly fee, or in some cases, a pay-as-you-go model where they are charged depending on their usage of the said Python application.

In either of these models, a common issue that the developers of the Python application usually face is when a user's payment fails. These commonly occur when the user's credit card information is invalid, when the user's credit card has expired, or when the user's credit card has been declined by the bank. In addition, in some cases, users use one-time credit cards only valid for a single payment and not recurring payments.

Whether the payment failure is intentional or unintentional, it can cause significant issues for the Python application and the user. For example, if the user is heavily dependent on the application and their payment fails, they may not be able to use it. As a result, they may be forced to cancel their subscription, commonly called churn. In addition, if the payment failure is unintentional, the user may not be aware of the issue and may not be able to use the application until they resolve it.

Therefore, tracking and monitoring failed payments in your Python application is essential to ensure that the user is aware of the issue and can resolve it before it causes any significant problems. Fortunately, here at LogSnag, we have created a powerful solution for this problem. LogSnag is a powerful, real-time event tracking tool that works seamlessly with any Python application. With LogSnag, you can set up event tracking for anything you want and track when a user's payment fails in your Python application in real time. You may also set up optional rules to notify you and your team when a user's payment fails.

LogSnag also allows you to track user journeys and create a timeline of their actions to monitor the users' payment history and any other activity they have done in your application. This way, you can always track the activity of a specific user, such as when their payment fails and any other activity they have done in your application.


Setting up LogSnag

  1. Sign up for a free LogSnag account.
  2. Create your first project from the dashboard.
  3. Head to settings and copy your API token.

Python code snippets

Use the following code snippet to connect LogSnag to your Python application. Please don't forget to replace the YOUR_API_TOKEN with your API token and update the project and channel names.

Using Python with http.client
import http.client
import json

conn = http.client.HTTPSConnection("api.logsnag.com")
payload = json.dumps({
  "project": "my-saas",
  "channel": "billing",
  "event": "Payment Failed",
  "description": "A 19.99$ payment failed for john@example.com",
  "icon": "💳",
  "notify": True
})
headers = {
  'Content-Type': 'application/json',
  'Authorization': 'Bearer YOUR_API_TOKEN'
}
conn.request("POST", "/v1/log", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))
Using Python with Requests
import requests
import json

url = "https://api.logsnag.com/v1/log"

payload = json.dumps({
  "project": "my-saas",
  "channel": "billing",
  "event": "Payment Failed",
  "description": "A 19.99$ payment failed for john@example.com",
  "icon": "💳",
  "notify": True
})
headers = {
  'Content-Type': 'application/json',
  'Authorization': 'Bearer YOUR_API_TOKEN'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

Python integration details

We strongly believe that event tracking should be simple and accessible to every developer and team. Hence, we have worked hard to create the next generation of event tracking tools.

LogSnag provides powerful features such as cross-platform push notifications, event filtering, user and product journeys, charts, insights, and more. In addition, LogSnag is flexible and easy to use, making it a great companion for your Python applications.

LogSnag provides a generous free plan to get you started with event tracking. You can also check out our pricing page to see our paid plans. So don't hesitate to give us a try and let us know what you think!

Other use-cases for LogSnag

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  7. Monitor when a user exceeds the usage limit for your Python service

  8. Monitor when a new feature is used in your Python application

  9. Monitor suspicious activity in your Python application

  10. Monitor when a user is being rate limited in your Python application

  11. Monitor when database goes down in your Python application

  12. Monitor your CPU usage in your Python application

  13. Monitor memory usage in your Python application

  14. Monitor high disk usage in your Python application

  15. Track when a file is uploaded to your Python application

  16. Track when a form is submitted to your Python application

  17. Track canceled subscriptions in your Python application

  18. Monitor your CI/CD build status for your Python application

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