Track payment events via Python

When building a product or service that requires your users to pay for something, there are many ways that things can go wrong, such as delayed payments, fraud, or other such issues.

Thus, it is crucial to track these events in real-time and alert you and your team in the event of a problem.

LogSnag lets you track payment events such as User Subscription, User Purchase, User Cancellation, and User Redemption directly from your Python application.

Setting up your account

1. Create a free LogSnag account.
2. Create a new project on your dashboard.
3. Copy your API token from the settings page.

Python code snippets

import http.client
import json

conn = http.client.HTTPSConnection("api.logsnag.com")
payload = json.dumps({
  "project": "my-saas",
  "channel": "payments",
  "event": "Successful Payment",
  "description": "john@example.com - ($19.99)",
  "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"))

import requests
import json

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

payload = json.dumps({
  "project": "my-saas",
  "channel": "payments",
  "event": "Successful Payment",
  "description": "john@example.com - ($19.99)",
  "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

Connect LogSnag to your Python code to easily track and keep a record of your product's payment events. With LogSnag, you can create simple charts and journeys to help you better understand your product. LogSnag also allows you to receive real-time push notifications on your desktop and mobile devices whenever a new payment event occurs.

Other use-cases for LogSnag

1. Monitor your CI/CD build status for your Python application
2. Monitor your CPU usage in your Python application
3. Monitor when database goes down in your Python application
4. Monitor high disk usage in your Python application
5. Monitor when a user changes their email address in your Python application
6. Monitor failed logins in your Python application
7. Monitor failed payments for your Python application
8. Monitor memory usage in your Python application
9. Monitor MySQL downtime in your Python application
10. Monitor when a new feature is used in your Python application
11. Monitor your Postgres downtime in your Python application
12. Monitor Redis downtime in your Python application
13. Monitor suspicious activity in your Python application
14. Monitor when a user exceeds the usage limit for your Python service
15. Monitor when a user is being rate limited in your Python application
16. Get a notification when your Python code is done executing
17. Send push notifications to your phone or desktop using Python
18. Track canceled subscriptions in your Python application
19. Track your Python cron jobs
20. Track when a file is uploaded to your Python application
21. Track when a form is submitted to your Python application
22. Track user sign in events in Python
23. Track user signup events via Python
24. Track waitlist signup events via Python