tcgapi

Official Python SDK for tcgapi.dev — a unified pricing API for 89+ trading card games, including:

• Pokémon TCG (English + Japanese)
• Magic: The Gathering
• Yu-Gi-Oh!
• Lorcana
• One Piece Card Game
• Flesh and Blood
• Star Wars Unlimited
• Digimon, Dragon Ball Super, Riftbound, Union Arena, Final Fantasy TCG, Weiss Schwarz, Cardfight!! Vanguard, and dozens more.

Real-time market prices, full price history, fuzzy search, bulk lookups, and exports — all from one HTTP API. Sync and async clients, fully typed with Pydantic.

Install

pip install tcgapi

Requires Python 3.9+.

Quickstart

Get a free API key at tcgapi.dev/dashboard (100 requests/day, no credit card).

from tcgapi import TCGApi

tcg = TCGApi(api_key="tcg_live_...")  # or set TCGAPI_KEY env var

# Look up a single card
card = tcg.cards.get(123456)
print(card.data.name)

# Get every printing's current price
prices = tcg.cards.prices(123456)
for p in prices.data:
    print(f"{p.printing}: ${p.market_price}")

If api_key is omitted, the client reads from TCGAPI_KEY.

Examples

Search across every game

results = tcg.search.cards(
    "charizard",
    game="pokemon",
    sort="price_desc",
    per_page=20,
)
for card in results.data:
    print(card.name, card.set_name, card.market_price)

Iterate without pagination boilerplate

for card in tcg.search.iter("lightning", game="magic"):
    # walks meta.has_more automatically — caps at the API's 200/page max
    ...

Browse sets

games = tcg.games.list()
pokemon_sets = tcg.games.sets("pokemon")
surging_sparks = next(
    (s for s in pokemon_sets.data if "Surging Sparks" in s.name), None
)

if surging_sparks:
    cards = tcg.sets.cards(surging_sparks.id, sort="price_desc")
    print(f"{surging_sparks.name}: {cards.meta.total} cards")

Bulk price lookup (Pro+)

# Auto-chunks if you pass more than 500 IDs.
bulk = tcg.bulk.prices([1, 2, 3, ...])  # thousands ok
print(f"Got prices for {len(bulk.data)} card-printings")

Per-condition prices (Pro+)

# Price floors per (printing, condition) — Near Mint, Lightly Played, etc.
conditions = tcg.cards.conditions(13217, printing="Holofoil")
for row in conditions.data:
    # median_with_shipping is robust to $0.01 junk listings — prefer it when pricing inventory
    print(f"{row.printing} / {row.condition}: ${row.median_with_shipping}")
print(conditions.meta.cached, conditions.meta.condition_counts)

# Bulk variant — up to 500 cards per call, served from the nightly cache.
# Cards without condition data yet are absent; fetch them once via
# tcg.cards.conditions() to warm them.
bulk_conditions = tcg.bulk.conditions([13217, 13218, 13219])

Top movers

movers = tcg.prices.top_movers(
    game="pokemon",
    direction="up",
    period="7d",
    limit=10,
)
for m in movers.data:
    print(f"{m.name} ({m.set_name}): +{m.price_change}% — ${m.market_price}")

How old is a market price?

Every price row carries market_price_as_of: the UTC date TCGPlayer last reported that printing's market price. It is older than last_updated_at when a printing has stopped selling — the last price is kept and dated rather than dropped.

prices = tcg.cards.prices(123456)
for p in prices.data:
    print(p.printing, p.market_price, "as of", p.market_price_as_of)

Price history (Hobby+)

# Window scales with your tier: free=7d, hobby=30d, starter=90d, pro/business=full.
history = tcg.cards.history(123456, range="year")
for point in history.data:
    print(point.date, point.market_price)

Async client

The async API mirrors the sync surface verbatim:

import asyncio
from tcgapi import AsyncTCGApi

async def main():
    async with AsyncTCGApi() as tcg:
        resp = await tcg.search.cards("charizard", game="pokemon")
        async for card in tcg.search.iter("dragon", game="magic"):
            print(card.name)

asyncio.run(main())

Rate limits

Every successful response carries the live rate-limit budget:

resp = tcg.games.list()
print(resp.rate_limit)
# RateLimit(daily_limit=10000, daily_remaining=9871, daily_reset='2026-04-29T00:00:00.000Z')

When you exceed the daily limit you'll get a typed RateLimitError:

from tcgapi import RateLimitError

try:
    tcg.cards.get(123)
except RateLimitError as err:
    print(f"Hit the limit — retry in {err.retry_after}s")

Other error classes: AuthError (401), TierError (403), NotFoundError (404), TcgApiError (anything else). All extend Exception.

Tiers

Sales velocity = sales_volume, avg_sales_price, and sales_as_of on price responses (Pro+). The fields are absent below Pro.

Or pay per request via x402 — no signup, USDC on Base or Solana.

API reference

Full endpoint reference: tcgapi.dev/api OpenAPI spec: tcgapi.dev/openapi.yaml Quickstart guide: tcgapi.dev/quickstart

License

MIT