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Official Python SDK for the Foresportia API

Project description

Foresportia Python SDK

Documentation · API docs

PyPI version Python versions License Package status

Official Python SDK for the Foresportia API, a football analytics API that provides match data, model probabilities, predicted picks, confidence signals, and Core Analytics payloads for building or enriching football prediction models.

The SDK targets server-side Python (3.9+) with a synchronous, typed client.

Installation

pip install foresportia

Optional extras:

pip install "foresportia[ml]"    # numpy + scikit-learn for the ML example
pip install -e ".[dev]"          # local development from a clone

Authentication and key safety

Authentication uses the X-API-Key header only. The SDK never puts the key in a URL, and the key never appears in repr(), logs, or exception messages.

Store the key in an environment variable rather than in source code:

export FORES_API_KEY="fs_beta_your_key_here"
$env:FORES_API_KEY = "fs_beta_your_key_here"
from foresportia import ForesportiaClient

client = ForesportiaClient.from_env()          # reads FORES_API_KEY
# or explicitly:
client = ForesportiaClient(api_key="...", timeout=10.0)

The base URL must be HTTPS. Plain HTTP is only accepted for localhost or with allow_insecure_base_url=True (development/testing only).

Do not commit API keys to source control, notebooks, screenshots, or support tickets.

Quickstart

from foresportia import ForesportiaClient

with ForesportiaClient.from_env() as client:
    leagues = client.list_leagues()
    for league in leagues.data:
        print(league.code, league.name, league.matches_available)

    matches = client.list_league_matches(
        "PREMIER_LEAGUE",
        include="upcoming",
        start="2026-07-15",
        days=7,
    )
    for match in matches.data:
        print(match.kickoff, match.home_team, "vs", match.away_team, match.pick)

Every typed method returns an ApiResponse with:

response.data           # typed result (list[League], list[MatchSummary], MatchDetail, BulkResult)
response.payload        # full JSON payload as a dict
response.etag           # ETag header for conditional requests
response.quota          # parsed rate-limit / quota headers
response.status_code    # HTTP status
response.not_modified   # True for 304 responses

Available competitions

leagues = client.list_leagues()
for league in leagues.data:
    print(league.code, league.name, league.country, league.activity_status)

Your API key only sees the competitions enabled for it. Use the codes exactly as returned (for example in list_league_matches).

Match detail

Match IDs from list endpoints look like fsm:v1:<64 hex characters>. Pass them exactly as returned:

match = client.get_match("fsm:v1:0123...abcdef")
detail = match.data
print(detail.home_team, "vs", detail.away_team)
print(detail.probabilities)   # 1X2, over/under, BTTS, draw no bet, ...
print(detail.ratings)         # ELO-style ratings
print(detail.raw)             # complete Core Analytics payload

Bulk (Starter plan)

Fetch up to 100 matches in one call. IDs are validated client-side (1–100 unique fsm:v1:* IDs), order is preserved, and per-ID failures are reported without hiding successful results:

bulk = client.get_matches_bulk([id_1, id_2, id_3])
for detail in bulk.data.results:
    print(detail.id, detail.home_team, "vs", detail.away_team)
for error in bulk.data.errors:
    print("failed:", error.match_id, error.code)   # e.g. match_not_found

Today endpoints

today = client.list_today_matches()
picks = client.list_today_picks(limit=20)

Quotas and rate limits

The API reports quota state in response headers; the SDK parses them into response.quota (fields are None when the header is absent):

response = client.list_leagues()
print(response.quota.remaining)                  # X-RateLimit-Remaining
print(response.quota.units_remaining_hour)       # X-Quota-Units-Remaining-Hour
print(response.quota.units_remaining_day)        # X-Quota-Units-Remaining-Day
print(response.quota.match_rows_remaining_day)   # X-Match-Rows-Remaining-Day

Quota enforcement stays server-side. On HTTP 429 the SDK raises ForesportiaRateLimitError (or ForesportiaConcurrencyLimitError) carrying retry_after and the quota snapshot. Retrying after 429 is opt-in:

client = ForesportiaClient.from_env(retry_on_rate_limit=True, max_retries=2)

ETags and conditional requests

Pass a previous ETag to skip unchanged payloads. A 304 Not Modified is a normal response, not an error:

first = client.get_match(match_id)
second = client.get_match(match_id, etag=first.etag)
if second.not_modified:
    detail = first.data      # reuse the cached payload
else:
    detail = second.data

Error handling

from foresportia import (
    ForesportiaAuthenticationError,   # 401
    ForesportiaAuthorizationError,    # 403
    ForesportiaNotFoundError,         # 404
    ForesportiaValidationError,       # 400 / 422 / client-side validation
    ForesportiaRateLimitError,        # 429
    ForesportiaConcurrencyLimitError, # 429 concurrency_limit_exceeded
    ForesportiaServerError,           # 5xx
    ForesportiaTransportError,        # network / timeout
    ForesportiaAPIError,              # base class for all of the above
)

try:
    matches = client.list_today_matches()
except ForesportiaRateLimitError as exc:
    print("rate limited, retry after", exc.retry_after, "seconds")
except ForesportiaAPIError as exc:
    print(exc.status_code, exc.error_code, exc.endpoint)

Exceptions carry status_code, error_code (the API business code such as match_not_found or bulk_limit_exceeded), endpoint, retry_after, and a quota snapshot when available. The API key is never included.

Retries and timeouts

  • Explicit timeout per client (timeout=10.0, default 20 s).

  • Retries are disabled by default (max_retries=0). A request that times out client-side may still have been processed and counted against your quota server-side, so each retry can consume an extra quota unit. Opt in explicitly when that trade-off is acceptable:

    client = ForesportiaClient.from_env(max_retries=2)
    

    When enabled, only GET requests are retried, on network errors and 502/503/504, with bounded exponential backoff.

  • No automatic retry on 400/401/403/404, nor on 429 unless retry_on_rate_limit=True.

  • The bulk POST is never retried on 5xx.

  • Use the client as a context manager (with ... as client:) or call client.close().

Machine learning example

A runnable script is provided in examples/ml_starter_features.py: it fetches upcoming matches, extracts probabilities, markets, and confidence into a feature matrix, and optionally fits a small scikit-learn model (pip install "foresportia[ml]"). Foresportia outputs are model probabilities, not guaranteed predictions; you need your own historical labels to train anything meaningful.

rows = []
for match in client.list_league_matches("PREMIER_LEAGUE", days=14).data:
    p = match.probabilities
    rows.append([p.get("home"), p.get("draw"), p.get("away"),
                 match.markets.get("btts"), match.confidence.get("score")])

Legacy methods

The v0.1 dict-based methods keep working unchanged:

client.me()
client.usage()
client.picks_today()
client.matches_today()
client.leagues()
client.league_matches("FIN", include="all", days=14, limit=10)
client.world_cup_2026_matches(limit=10)

Prefer the typed list_* / get_* methods for new code.

Links

Disclaimer

Foresportia provides football probabilities, model outputs, and analytics data. It does not provide betting advice, financial advice, bookmaker odds, guaranteed outcomes, or instructions to place wagers. Any use of Foresportia data is the responsibility of the user and should comply with applicable laws, regulations, and platform policies.

License

MIT. See LICENSE.

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