🌤️ Weather Info Fetcher

📌 Problem Statement

Create a Python script that fetches and displays live weather info for a city using the OpenWeatherMap API and saves the extracted data into a JSON file.

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📖 Features

• Fetches live weather data from OpenWeatherMap API.
• Displays formatted weather information including:
  • 🌡️ Temperature
  • 🤔 Feels Like temperature
  • 💧 Humidity
  • ☁️ Condition
  • 💨 Wind Speed
  • 🧭 Pressure
  • 📅 Timestamp when data was fetched
• Saves extracted weather data into a JSON file per city.
• Supports single city (user input) and multiple cities (predefined list).

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⚙️ Requirements

• Python 3.x
• requests library
• OpenWeatherMap API key (get one for free: https://openweathermap.org/api)

Install dependencies:

pip install requests

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🚀 Setup & Run Instructions

• Clone or download the project folder.

• Open terminal/command prompt and navigate to the project folder.

• Replace the placeholder API key in weather.py with your own OpenWeatherMap API key.

• Run the script:

  python weather_app.py

• Check the output:

• Terminal will display formatted weather reports.

• JSON files (e.g., Delhi_weather.json) will be saved automatically in the same folder.

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🚀 Usage

Option 1: Single City (User Input)

Uncomment these lines in the script:

city_from_user = input("Enter your city name: ")
get_weather(city_from_user)

Option 2: Multiple Cities (Predefined List)

Modify the list in the script:

cities = ["Mumbai", "Delhi", "London", "New York"]
for city in cities:
    get_weather(city)

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📂 Project Structure

Weather-Info-Fetcher/
│-- weather_app.py        # Main Python script
│-- README.md             # Documentation
│-- Mumbai_weather.json   # Example saved weather data
│-- Delhi_weather.json    # Example saved weather data
│-- London_weather.json   # Example saved weather data
│-- New York_weather.json # Example saved weather data

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💾 Output Example (Saved JSON)

Example saved JSON (Delhi_weather.json):

{
    "city": "Delhi",
    "temperature (C)": 29.08,
    "feels_like (C)": 33.09,
    "humidity (%)": 71,
    "condition": "Scattered clouds",
    "wind_speed (m/s)": 3.31,
    "pressure (hPa)": 1005,
    "fetched_at": "2025-09-07 00:17:21"
}

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🖥️ Sample Terminal Output

Below is an example of the formatted weather report displayed in the terminal:

Weather report for Delhi:
🌡️ Temperature: 29.08 ℃
🤔 Feels Like: 33.09 ℃
💧 Humidity: 71 %
☁️ Condition: Scattered clouds
💨 Wind Speed: 3.31 m/s
🧭 Pressure: 1005 hPa
📅 Data Fetched At: 2025-09-07 00:17:21
✅ Weather data saved in Delhi_weather.json

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📝 Notes

• Replace the placeholder API key in the script with your own key.
• Make sure you have a stable internet connection while running the script.

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✅ Developed as part of a Python automation learning exercise.