Pokemon card price API in Python

import requests

API = "https://api.tickermint.cards"

# 1. Find the card. No key, no sign-up.
hits = requests.get(f"{API}/products/search",
                    params={"q": "charizard ex 199/165", "game": "pokemon"},
                    timeout=10).json()
card = hits[0]
print(card["product_id"], card["name"], card["set_name"], card["market"])

# 2. Its daily market price per printing, back to February 2024
pid = card["product_id"]
history = requests.get(f"{API}/products/{pid}/prices", timeout=10).json()
for printing, days in history.items():
    print(printing, len(days), "days, latest", days[-1]["snapshot_date"], days[-1]["market"])

import os
import requests

API = "https://api.tickermint.cards"
session = requests.Session()
session.headers["X-API-Key"] = os.environ["TICKERMINT_KEY"]  # from tickermint.cards/developers

r = session.get(f"{API}/products/search", params={"q": "umbreon vmax 215"}, timeout=10)
r.raise_for_status()
card = r.json()[0]
print(card["product_id"], card["name"], card["market"])

import io

import pandas as pd
import requests

API = "https://api.tickermint.cards"

# a whole set, one row per card (set id = the number in tickermint.cards/set/23237)
csv_text = requests.get(f"{API}/sets/23237.csv", timeout=30).text
df = pd.read_csv(io.StringIO(csv_text), dtype={"number": str})
print(df.nlargest(5, "market_price_usd")[["name", "number", "market_price_usd"]])