Sports Standings & Team Records API (NFL, NBA, MLB, NHL, EPL)
Pricing
$0.10 / 1,000 standings rows
Sports Standings & Team Records API (NFL, NBA, MLB, NHL, EPL)
Current league standings and team records for NFL, NBA, MLB, NHL, EPL, WNBA and NCAAF as clean normalized JSON from ESPN's public API. One row per team: wins, losses, win %, games behind, playoff seed, points, streak. No API key needed. Unofficial, not affiliated with ESPN.
Pricing
$0.10 / 1,000 standings rows
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Developer
kyle herman
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7 days ago
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Get current league standings and team records as clean JSON — no API key, no scraping HTML, no rate-limit headaches. This actor pulls standings from ESPN's public API and normalizes every team into one stable row: wins, losses, win percentage, games behind, playoff seed, points for/against, streak, and the full raw stat set.
Perfect if you searched for a sports standings API, NFL standings API, NBA standings API, or a free ESPN standings API alternative for your app, dashboard, model, or Discord bot.
What it does
- Fetches live standings for one or more leagues in a single run
- Emits one row per team, grouped by conference/division group
- Flattens the most common stats to top-level keys and keeps all raw ESPN stats in a
statsdict (so sport-specific stats like soccerpoints/rankare never lost) - Runs in seconds; leagues are fetched concurrently with retries — one league failing never kills the run
Supported leagues
| Code | League |
|---|---|
nfl | NFL (American football) |
nba | NBA (basketball) |
mlb | MLB (baseball) |
nhl | NHL (hockey) |
epl | English Premier League (soccer) |
wnba | WNBA (basketball) |
ncaaf | NCAA college football |
Input
All fields optional — running with empty input {} fetches NFL, NBA, MLB and NHL.
{"leagues": ["nfl", "nba", "mlb", "nhl"]}
Output
One dataset row per team. Real example row (NFL):
{"league": "nfl","conference": "American Football Conference","team_id": "2","team": "Buffalo Bills","abbreviation": "BUF","wins": 11,"losses": 6,"ties": 0,"win_percent": 0.647,"games_behind": 0,"playoff_seed": 2,"points_for": 451,"points_against": 368,"point_differential": 83,"streak": 3,"stats": {"wins": 11,"losses": 6,"ties": 0,"winPercent": 0.647,"gamesBehind": 0,"playoffSeed": 2,"pointsFor": 451,"pointsAgainst": 368,"pointDifferential": 83,"differential": 83,"streak": 3,"divisionWins": 5,"divisionLosses": 1},"fetched_at": "2026-08-06T13:13:42Z"}
Notes:
- Flattened keys (
wins,losses,win_percent,games_behind,playoff_seed,points_for,points_against,point_differential,streak,ties) appear when the league provides them. Soccer leagues use different stat names (points,rank,gamesPlayed, ...) — always available in thestatsdict. - During the offseason ESPN reports zeroed stats; rows are still emitted for every team.
fetched_atis the ISO 8601 UTC timestamp of the fetch.
Pricing
Pay per result: you're charged a tiny fee per team standings row pushed to the dataset (e.g. a full NFL run = 32 rows). No subscriptions, no minimums.
Use cases
- Standings widgets for sports sites and fantasy apps
- Betting/analytics models that need up-to-date team records
- Discord/Slack bots posting daily standings
- Data pipelines replacing fragile HTML scrapers
Disclaimer
Unofficial; not affiliated with or endorsed by ESPN. Data comes from ESPN's publicly accessible API and may change without notice.