💹 Crypto Data Fetcher — CoinMarketCap API Test Notebook

This project demonstrates how to connect to the CoinMarketCap API to fetch real-time cryptocurrency data and display it in a clean, organized format using Python.
It’s a practical example of API usage, data transformation, and Pandas integration for analysis-ready datasets.

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📘 Description

The notebook shows how to:

• Send authenticated API requests to CoinMarketCap’s /cryptocurrency/listings/latest endpoint.
• Retrieve details of the top cryptocurrencies (price, symbol, rank, etc.).
• Normalize the JSON response into a Pandas DataFrame.
• Automatically add timestamps for each data fetch.
• Create a reusable function (api_runner) to refresh data dynamically.

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🚀 Features

✅ Connects securely to the CoinMarketCap REST API
✅ Fetches top cryptocurrency listings in USD
✅ Converts complex JSON into a structured DataFrame
✅ Includes a function to automate data retrieval
✅ Ready for expansion — ideal for dashboards or time-series tracking

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🧩 Technologies Used

• Python 3
• Requests
• Pandas
• JSON

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⚙️ How to Use

1. Clone or download this notebook.
2. Open How to use an Api + Api Test Notebook.ipynb in Jupyter Notebook or VS Code.
3. Replace the sample API key in the code:

   headers = {
       'Accepts': 'application/json',
       'X-CMC_PRO_API_KEY': 'YOUR_API_KEY_HERE'
   }

4. Run all cells — the notebook will:
   • Fetch real-time crypto data.
   • Display it in a readable DataFrame format.

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🧮 Example Output

name	symbol	quote.USD.price	timestamp
Bitcoin	BTC	67,000.12	2025-10-30 19:10:00
Ethereum	ETH	3,200.45	2025-10-30 19:10:00

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📫 Author

Muhammed Thaha Uwais
📧 muhammedthahauwais@gmail.com
🔗 [LinkedIn]https://www.linkedin.com/in/muhammed-thaha-uwais-5b5444279

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🪪 License

This project is free to use for educational and personal learning purposes.