Published on July 10, 2022

Track when a form is submitted to your Python application

Track when a form is submitted to your Python application

These days, many Python applications collect data from users in one way or another. This can be a simple form that contains some basic information such as name, email, and phone number. Or it can be a more complex form that collects information such as a user's address, credit card information, and more.

Most interactive Python applications have some form and are commonly the primary way users interact with the application. Therefore, it is essential to track when a user submits a form in your Python application and monitor whether the form submission is successful or whether the user has encountered an error and has not been able to submit the form.

In many cases, a minor problem in the form submission can cause a user to abandon the form and not complete the form submission. This can be a significant problem for your application as it can cause a considerable loss of revenue and user experience.

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 submits a form in your Python application in real time. You may also set up optional rules to notify you and your team when a user has encountered an error and has not been able to submit the form.

In addition, LogSnag allows you to track user journeys and create a timeline of events for each user. This way, you can always track the activity of a specific user, such as when they have submitted a form 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 snippets to integrate LogSnag with 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": "forms",
"event": "Submitted Application",
"description": "User has submitted a form application",
"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": "forms",
"event": "Submitted Application",
"description": "User has submitted a form application",
"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 believe that event tracking should be simple and accessible to every developer and team. Therefore, we have worked hard to create the next generation of event tracking tools. As a result, LogSnag is flexible and easy to use, making it a great companion for your Python applications.

In addition to real-time event tracking, LogSnag provides powerful features such as cross-platform push notifications, event filtering, user and product journeys, charts, insights, and more.

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

  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 payment events via Python
  22. Track user sign in events in Python
  23. Track user signup events via Python
  24. Track waitlist signup events via Python
View all common use-cases with Python