How to Fetch Weather Data Using Aeris Weather API in Python

Fetch Weather Data Using Aeris Weather API in Python

• Import necessary libraries. Use `requests` to handle HTTP requests and `json` for working with JSON data format.

 

• Create a function to build the request URL. This will include your Aeris Weather client ID and secret, along with location and endpoint specifics.

 

• Handle API request. Use the `requests.get()` method to send a request to the Aeris Weather API and receive a response.

 

• Parse and handle the response. Utilize `json` to parse received JSON data and handle potential errors effectively.

import requests
import json

def fetch_weather_data(location):
    base_url = "https://api.aerisapi.com/observations/"
    client_id = "YOUR_CLIENT_ID"
    client_secret = "YOUR_CLIENT_SECRET"
    url = f"{base_url}{location}?client_id={client_id}&client_secret={client_secret}"

    try:
        response = requests.get(url)
        response.raise_for_status()

        weather_data = response.json()

        if weather_data['success']:
            observation = weather_data['response']['ob']['tempC']
            print(f"Current temperature in {location}: {observation} °C")
        else:
            print("Failed to fetch weather data:", weather_data['error']['description'])

    except requests.exceptions.RequestException as e:
        print(f"Error during requests to {url}: {str(e)}")

fetch_weather_data('newyork,ny')

• Enhance the robustness. Implement proper exception handling to gracefully manage network issues or unexpected failures.

 

• Customize requests. Adjust parameters and endpoints in the API URL to fetch as diverse data as your use case requires, such as forecasts, severe weather alerts, or historical weather data.

 

• Iterate and refine. Understanding the structure of the data returned will allow for more refined data parsing and usage.