API analytics and usage metrics in Rest API

Introduction

API analytics help you understand how your API is used. Usage metrics show which parts are popular and if there are any problems.

You want to see how many people use your API each day.

You need to find out which API endpoints are called the most.

You want to check if users get errors when calling your API.

You want to track how long API requests take to respond.

You want to monitor overall API performance and usage trends.

Syntax

Rest API

GET /api/analytics/usage

Headers:
  Authorization: Bearer <your_token>

Query Parameters:
  start_date=YYYY-MM-DD
  end_date=YYYY-MM-DD
  metrics=hits,errors,response_time
  group_by=endpoint

Use Authorization header to secure your API calls.

Query parameters let you filter and group the data you want.

Examples

This request gets the number of hits and errors from January 1 to January 7.

Rest API

GET /api/analytics/usage?start_date=2024-01-01&end_date=2024-01-07&metrics=hits,errors

This request gets average response times grouped by each API endpoint.

Rest API

GET /api/analytics/usage?metrics=response_time&group_by=endpoint

This request gets total hits for June 2024.

Rest API

GET /api/analytics/usage?start_date=2024-06-01&end_date=2024-06-30&metrics=hits

Sample Program

This Python program calls the API analytics endpoint to get hits and errors for each endpoint from June 1 to June 7, 2024. It prints the results clearly.

Rest API

import requests

url = 'https://example.com/api/analytics/usage'
headers = {'Authorization': 'Bearer your_token_here'}
params = {
    'start_date': '2024-06-01',
    'end_date': '2024-06-07',
    'metrics': 'hits,errors',
    'group_by': 'endpoint'
}

response = requests.get(url, headers=headers, params=params)

if response.status_code == 200:
    data = response.json()
    for endpoint, stats in data.items():
        print(f"Endpoint: {endpoint}")
        print(f"  Hits: {stats['hits']}")
        print(f"  Errors: {stats['errors']}\n")
else:
    print(f"Failed to get analytics: {response.status_code}")

Important Notes

Always secure your API calls with tokens or keys.

Check the API documentation for available metrics and grouping options.

Use date filters to limit the data and improve performance.

Summary

API analytics show how your API is used and help find problems.

Use query parameters to get specific metrics and group data.

Secure your API calls and handle responses carefully.