A robust and reusable Python template for integrating with RESTful APIs.
Supports all major HTTP methods, handles authentication, retries failed requests, and logs all activity for easy debugging.

• ✅ Supports GET, POST, PUT, DELETE requests
• ✅ Automatic retry mechanism for failed requests
• ✅ Structured logging with timestamps and error handling
• ✅ Bearer Token Authentication
• ✅ Easy-to-use functions for *common API operations *
• ✅ Fully extensible for any REST API

• Python 3.x
• requests library

Install the requests library if needed:

pip install requests

1. Configure API Details

Edit the script to set your API base URL and API key:

API_BASE_URL = "https://api.example.com/v1"
API_KEY = "your_api_key_here"

2. Run the Script

The script includes example usage:

python API integration.py

# List all resources
resources = list_resources()
print("Resources:", resources)

# Create a new resource
new_data = {"name": "Test Item", "value": 100}
new_resource = create_resource(new_data)
print("Created:", new_resource)

# Update the resource
if new_resource:
    updated_data = {"name": "Updated Item", "value": 150}
    updated = update_resource(new_resource.get("id"), updated_data)
    print("Updated:", updated)

# Delete the resource
if new_resource:
    deleted = delete_resource(new_resource.get("id"))
    print("Deleted:", deleted)

• Logs every request with method, URL, and attempt number.
• Automatically retries failed requests up to 3 times with a 2-second delay.
• Logs success, warnings, and errors to the console.

• Change endpoint paths to match your API structure.
• Add additional helper functions for other endpoints.
• Integrate with CLI or web frameworks for automation.

📌 Notes

• Ensure your API key and base URL are correct.
• Adjust retries or time.sleep delay as needed for your API rate limits.