Create app.py

app.py

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+import requests
+import pandas as pd
+
+# Your API Key (you need to replace 'YOUR_API_KEY' with your actual CryptoCompare API key)
+api_key = '1606c591d78cde143733502669d97c3707d94637e2c32c3184bef54a2a1653d2'
+
+# The base URL for the CryptoCompare API
+base_url = 'https://min-api.cryptocompare.com/data/v2/histohour'
+
+# Parameters for the API call
+# In this example, we are getting hourly data for Bitcoin (BTC) priced in USD
+parameters = {
+    'fsym': 'BTC',
+    'tsym': 'USD',
+    'limit': 2000,  # The maximum number of data points you can get in one call is 2000
+    'api_key': api_key
+}
+
+# Make the API call
+response = requests.get(base_url, params=parameters)
+
+# Check if the request was successful
+if response.status_code == 200:
+    # Parse the received JSON data
+    data = response.json()
+
+    # Extract the data points
+    data_points = data['Data']['Data']
+
+    # Create a DataFrame from the data points
+    df = pd.DataFrame(data_points)
+
+    # Convert timestamps to human-readable dates
+    df['time'] = pd.to_datetime(df['time'], unit='s')
+
+    # Save the DataFrame to a CSV file
+    df.to_csv('crypto_hourly_data.csv', index=False)
+    print(df)
+    #print("Data extraction successful, saved to crypto_hourly_data.csv")
+else:
+    print(f"Failed to fetch data: {response.status_code}")
+
+# Make sure to install pandas and requests modules if you haven't already
+# pip install pandas requests