MONITOR USER SIGNUP EVENTS WITH PYTHON LANGUAGE

Monitor user signup events via Python

When we are building a website or application with Python, we often require our users to sign up for an account before they can access or use our service. This is a common requirement for many services as it allows us to track usage more efficiently, monitor growth, and avoid abuse.

Unfortunately, this process has certain downsides, such as introducing additional friction to our service and making the users go through extra steps before accessing our service.

Thus, tracking user activity when visiting our service and tracking how many go through the signup process and drop off before they use our service is essential. By monitoring the signup process, we can better understand how our visitors interact with our Python service and find and fix any issues they may encounter.

Palzin Track makes it easy to track events such as user registration directly within your Python code. As a result, it helps you better understand how your users interact with your product and how your product is performing.

Connect Palzin Track to Python

Setting up your account

Setting up Palzin Track with Python is very simple!

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

Python code snippets

Once your Palzin Track account is set up, you can use the following code snippets to Monitor user signup events. Just replace the YOUR_API_TOKEN with your Palzin Track API token and update your project name.

Using Python with http.client

import http.client  


import json  


conn = http.client.HTTPSConnection("palzin.live")  


payload = json.dumps({  


 "project": "my-project",  


 "channel": "auth",  


 "event": "User Registered",  


 "description": "email: [email protected]",  


 "icon": "🔥",  


 "notify": True  


})  


headers = {  


 'Content-Type': 'application/json',  


 'Authorization': 'Bearer YOUR_API_TOKEN'  


}  


conn.request("POST", "/api/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.palzin.live/v1/log"  


payload = json.dumps({  


 "project": "my-project",  


 "channel": "auth",  


 "event": "User Registered",  


 "description": "email: [email protected]",  


 "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

Palzin Track is a versatile event tracking tool that isn't limited to specific use cases. It empowers you to monitor a wide range of events, whether it's tracking prelaunch waitlist signups or beta signups for a new feature or product. It works seamlessly with your Python code. With it, you can track any event within your Python application. It also allows you to create simple charts and track user journeys to help you better understand your product. Palzin Track also enables you to receive real-time push notifications on your desktop and mobile devices whenever a new user creates an account on your website or application.

Other use-cases for Palzin Track

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 payment events via Python
23. Track user sign in events in Python
24. Track waitlist signup events via Python