Python Project Fetch & Process API Data

 

✅ Python Project : Fetch & Process API Data 🌍📡

📌 Task:
Create a Python program that fetches data from a public API, processes it, and stores it in a JSON file.

🧠 What You’ll Learn:

  • How to make GET requests using the requests module

  • How to read API responses (JSON format)

  • How to save useful data into a JSON file


✅ Python Code Example
      
import requests
import json

# Step 1: API endpoint (Example: Random User API)
url = "https://randomuser.me/api/?results=5"

# Step 2: Fetch data from API
response = requests.get(url)

# Step 3: Check if request was successful
if response.status_code == 200:
    data = response.json()
    print("✅ API Data Fetched Successfully!\n")

    # Print raw API data
    print(json.dumps(data, indent=4))

    # Step 4: Process data (get only names & emails)
    users = []
    for user in data["results"]:
        users.append({
            "name": f"{user['name']['first']} {user['name']['last']}",
            "email": user["email"]
        })

    # Step 5: Save processed data into JSON
    with open("users.json", "w") as f:
        json.dump(users, f, indent=4)

    print("\n✅ Processed data saved in users.json")

else:
    print(f"❌ Error: Could not fetch data (Status: {response.status_code})")


📥 How It Works:

  1. Sends a request to an API (randomuser.me)

  2. Gets response in JSON format

  3. Extracts useful info (name & email)

  4. Saves it into users.json

🔧 Try Yourself:

  • Fetch weather, news, or crypto data using another API

  • Change query parameters (e.g., number of users, location)

  • Schedule script to run daily and save logs

💡 Where You Can Use It:
✅ Collecting data for dashboards
✅ Real-time apps (news, stock, weather)
✅ Automating daily reports


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