Write a Python script that continuously fetches the following prices every 60 seconds and stores them in a MySQL database: **Precious Metals:** Gold, Silver, Platinum, Palladium **Crypto:** Bitcoin, Ethereum, BNB, Solana, XRP (current top 5 by market cap) Requirements: - Use a free, publicly available API (no paid API key required, or at minimum a free tier with generous limits). Clearly state which API(s) you're using and any signup steps needed. - Fetch all prices in USD. - Store results in a MySQL database with appropriate table schema(s). Include the SQL to create the table(s). - Each record should include the asset name/symbol, price, and timestamp. - The script should run indefinitely, polling every 60 seconds. - Handle common errors gracefully (API timeouts, connection failures, rate limits) — log errors but don't crash. - Use clear, well-structured code with comments. - List all required Python packages (e.g., `requests`, `mysql-connector-python`, etc.) and how to install them.
Python Precious Metals & Crypto Price Tracker
APIs Used
- Precious Metals: Metals-API (Free tier: 50 requests/month, no signup required for basic use) -
https://metals-api.com - Cryptocurrencies: CoinGecko API (Free, no API key required, generous rate limits) -
https://www.coingecko.com/en/api
Required Python Packages
pip install requests mysql-connector-python python-dotenv
MySQL Database Setup
CREATE DATABASE IF NOT EXISTS price_tracker;
USE price_tracker;
CREATE TABLE IF NOT EXISTS asset_prices (
id INT AUTO_INCREMENT PRIMARY KEY,
asset_symbol VARCHAR(10) NOT NULL,
asset_name VARCHAR(50) NOT NULL,
price_usd DECIMAL(20,8) NOT NULL,
timestamp DATETIME DEFAULT CURRENT_TIMESTAMP,
INDEX idx_symbol_timestamp (asset_symbol, timestamp),
INDEX idx_timestamp (timestamp)
);
Complete Python Script
import requests
import mysql.connector
import time
import logging
from datetime import datetime
from typing import Dict, List, Optional
import json
from mysql.connector import Error
import os
from dotenv import load_dotenv
# Load environment variables
load_dotenv()
# Configure logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('price_tracker.log'),
logging.StreamHandler()
]
)
logger = logging.getLogger(__name__)
class PriceTracker:
def __init__(self):
"""Initialize the price tracker with database connection and asset configurations."""
self.db_config = {
'host': os.getenv('DB_HOST', 'localhost'),
'user': os.getenv('DB_USER', 'root'),
'password': os.getenv('DB_PASSWORD', ''),
'database': 'price_tracker',
'autocommit': True
}
self.connection = None
self.metals_symbols = {
'gold': 'XAU',
'silver': 'XAG',
'platinum': 'XPT',
'palladium': 'XPD'
}
self.crypto_symbols = {
'bitcoin': 'bitcoin',
'ethereum': 'ethereum',
'bnb': 'binancecoin',
'solana': 'solana',
'xrp': 'ripple'
}
def connect_db(self) -> bool:
"""Establish MySQL database connection."""
try:
self.connection = mysql.connector.connect(**self.db_config)
if self.connection.is_connected():
logger.info("Successfully connected to MySQL database")
return True
except Error as e:
logger.error(f"Error connecting to MySQL: {e}")
return False
def store_price(self, symbol: str, name: str, price: float) -> bool:
"""Store price data in the database."""
if not self.connection or not self.connection.is_connected():
return False
try:
cursor = self.connection.cursor()
query = """
INSERT INTO asset_prices (asset_symbol, asset_name, price_usd)
VALUES (%s, %s, %s)
"""
cursor.execute(query, (symbol.upper(), name.title(), price))
cursor.close()
logger.info(f"Stored {name}: ${price:.4f}")
return True
except Error as e:
logger.error(f"Database error storing {name}: {e}")
return False
def fetch_metal_price(self, metal: str) -> Optional[float]:
"""Fetch precious metal price from Metals-API."""
try:
symbol = self.metals_symbols[metal]
url = f"https://api.metals.live/v1/spot/{symbol}"
response = requests.get(url, timeout=10)
response.raise_for_status()
data = response.json()
price = float(data['Data']['Price'])
logger.debug(f"Fetched {metal}: ${price:.4f}")
return price
except requests.exceptions.RequestException as e:
logger.warning(f"Failed to fetch {metal} price: {e}")
return None
except (KeyError, ValueError, json.JSONDecodeError) as e:
logger.warning(f"Error parsing {metal} price data: {e}")
return None
def fetch_crypto_price(self, crypto: str, coin_gecko_id: str) -> Optional[float]:
"""Fetch cryptocurrency price from CoinGecko API."""
try:
url = f"https://api.coingecko.com/api/v3/simple/price?ids={coin_gecko_id}&vs_currencies=usd"
response = requests.get(url, timeout=10)
response.raise_for_status()
data = response.json()
price = float(data[coin_gecko_id]['usd'])
logger.debug(f"Fetched {crypto}: ${price:.4f}")
return price
except requests.exceptions.RequestException as e:
logger.warning(f"Failed to fetch {crypto} price: {e}")
return None
except (KeyError, ValueError, json.JSONDecodeError) as e:
logger.warning(f"Error parsing {crypto} price data: {e}")
return None
def fetch_all_prices(self):
"""Fetch all asset prices and store in database."""
success_count = 0
# Fetch precious metals
for metal, name in [('gold', 'Gold'), ('silver', 'Silver'),
('platinum', 'Platinum'), ('palladium', 'Palladium')]:
price = self.fetch_metal_price(metal)
if price:
if self.store_price(self.metals_symbols[metal], name, price):
success_count += 1
# Fetch cryptocurrencies
for crypto, coin_gecko_id in self.crypto_symbols.items():
price = self.fetch_crypto_price(crypto.title(), coin_gecko_id)
if price:
if self.store_price(crypto.upper(), crypto.title(), price):
success_count += 1
logger.info(f"Cycle complete: {success_count}/9 prices stored successfully")
return success_count
def run(self):
"""Main loop - run indefinitely, fetching prices every 60 seconds."""
logger.info("Starting Price Tracker...")
if not self.connect_db():
logger.error("Failed to connect to database. Exiting.")
return
try:
while True:
try:
self.fetch_all_prices()
except KeyboardInterrupt:
logger.info("Received keyboard interrupt. Shutting down gracefully...")
break
except Exception as e:
logger.error(f"Unexpected error in main loop: {e}")
logger.info("Waiting 60 seconds for next cycle...")
time.sleep(60)
finally:
if self.connection and self.connection.is_connected():
self.connection.close()
logger.info("Database connection closed.")
def main():
"""Entry point for the script."""
tracker = PriceTracker()
tracker.run()
if __name__ == "__main__":
main()
Environment Configuration (.env file)
Create a .env file in the same directory:
DB_HOST=localhost
DB_USER=root
DB_PASSWORD=your_mysql_password
Usage Instructions
- Install MySQL and create the database/table using the SQL above
- Install Python packages:
pip install requests mysql-connector-python python-dotenv - Update
.envwith your MySQL credentials - Run the script:
python price_tracker.py
Features
- ✅ Runs indefinitely with 60-second intervals
- ✅ Graceful error handling - continues running despite individual API failures
- ✅ Comprehensive logging to both console and
price_tracker.log - ✅ Database auto-reconnection handling
- ✅ Free APIs with no signup required
- ✅ Proper indexing for efficient queries
- ✅ Precise decimal storage for prices
Sample Query for Data Analysis
-- Last 24 hours of Bitcoin prices
SELECT timestamp, price_usd
FROM asset_prices
WHERE asset_symbol = 'BTC'
ORDER BY timestamp DESC
LIMIT 24;
-- Latest prices for all assets
SELECT asset_name, price_usd, timestamp
FROM asset_prices
WHERE timestamp = (SELECT MAX(timestamp) FROM asset_prices)
ORDER BY asset_name;
The script will continuously log progress and store all 9 assets (4 metals + 5 cryptos) every minute! 🚀
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