Fetch Crypto Prices with Python APIs

Get real-time cryptocurrency prices using Python. CoinGecko, Binance, and CoinMarketCap API tutorials with code examples.

pip install requests pandas

import requests
import pandas as pd

# CoinGecko API (free, no key needed)
def get_crypto_prices(coins=["bitcoin", "ethereum", "solana"]):
    url = "https://api.coingecko.com/api/v3/simple/price"
    params = {
        "ids": ",".join(coins),
        "vs_currencies": "gbp,usd",
        "include_24hr_change": "true",
        "include_market_cap": "true"
    }

    response = requests.get(url, params=params)
    data = response.json()

    rows = []
    for coin, info in data.items():
        rows.append({
            "Coin": coin.title(),
            "GBP": f"£{info['gbp']:,.2f}",
            "USD": f"${info['usd']:,.2f}",
            "24h Change": f"{info.get('gbp_24h_change', 0):.2f}%",
            "Market Cap": f"£{info.get('gbp_market_cap', 0)/1e9:.1f}B"
        })

    return pd.DataFrame(rows)

df = get_crypto_prices()
print(df.to_string(index=False))

# Historical price data from CoinGecko
def get_crypto_history(coin="bitcoin", days=365, currency="gbp"):
    url = f"https://api.coingecko.com/api/v3/coins/{coin}/market_chart"
    params = {"vs_currency": currency, "days": days}

    response = requests.get(url, params=params)
    data = response.json()

    df = pd.DataFrame(data["prices"], columns=["timestamp", "price"])
    df["date"] = pd.to_datetime(df["timestamp"], unit="ms")
    df = df.set_index("date").drop("timestamp", axis=1)

    return df

btc = get_crypto_history("bitcoin", 365)
eth = get_crypto_history("ethereum", 365)

print(f"Bitcoin - Current: £{btc['price'].iloc[-1]:,.0f}")
print(f"Bitcoin - 1Y High: £{btc['price'].max():,.0f}")
print(f"Bitcoin - 1Y Low: £{btc['price'].min():,.0f}")
print(f"Bitcoin - 1Y Return: {((btc['price'].iloc[-1] / btc['price'].iloc[0]) - 1) * 100:.1f}%")