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NBA Scores, Standings, Teams & Rosters Scraper

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from $7.56 / 1,000 results

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NBA Scores, Standings, Teams & Rosters Scraper

NBA Scores, Standings, Teams & Rosters Scraper

Scrape NBA game scores by date, conference and division standings, all 30 teams and full rosters. Get matchups, scores, records, streaks, top performers, odds, box scores and player bios. Export to JSON, CSV or Excel.

Pricing

from $7.56 / 1,000 results

Rating

0.0

(0)

Developer

Scrapers Lat

Scrapers Lat

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

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NBA Scores, Standings, Teams & Rosters Scraper

NBA Scores, Standings, Teams & Rosters Scraper

Here is one real result, with every field the actor returns (a completed game with the box score and AI matchup add-ons switched on):

{
"recordType": "game",
"gameId": "401810987",
"season": "2025-26",
"seasonYear": 2026,
"seasonType": "Regular Season",
"date": "2026-04-05T19:30Z",
"name": "Toronto Raptors at Boston Celtics",
"shortName": "TOR @ BOS",
"state": "post",
"status": "Final",
"statusDetail": "Final",
"completed": true,
"period": 4,
"clock": "12:00",
"homeTeam": "Boston Celtics",
"homeAbbrev": "BOS",
"homeTeamId": "2",
"homeScore": 115,
"homeWinner": true,
"homeRecord": "53-25",
"homeLogo": "https://a.espncdn.com/i/teamlogos/nba/500/scoreboard/bos.png",
"homeTopPerformer": "Jayson Tatum",
"homeTopPerformerLine": "23 PTS, 13 REB, 7 AST, 3 STL",
"homePointsLeader": "Jaylen Brown",
"homePointsLeaderValue": 26,
"homeReboundsLeader": "Jayson Tatum",
"homeReboundsLeaderValue": 13,
"homeAssistsLeader": "Jayson Tatum",
"homeAssistsLeaderValue": 7,
"awayTeam": "Toronto Raptors",
"awayAbbrev": "TOR",
"awayTeamId": "28",
"awayScore": 101,
"awayWinner": false,
"awayRecord": "43-35",
"awayTopPerformer": "Collin Murray-Boyles",
"awayTopPerformerLine": "12 PTS",
"venue": "TD Garden",
"venueCity": "Boston",
"venueState": "MA",
"attendance": 19156,
"broadcast": "NBC Sports BO, Sportsnet, NBA TV",
"url": "https://www.espn.com/nba/game/_/gameId/401810987/raptors-celtics",
"homeFieldGoals": "47-88",
"homeFieldGoalPct": 53,
"homeThreePointers": "8-28",
"homeRebounds": 44,
"homeAssists": 25,
"homePointsInPaint": 76,
"awayFieldGoals": "40-84",
"awayRebounds": 31,
"awayAssists": 31,
"aiStoryline": "The Boston Celtics secured a solid victory over the Toronto Raptors, showcasing their depth and defensive prowess. Jayson Tatum led the charge with a near triple-double performance.",
"aiKeyPlayers": "Jayson Tatum, Collin Murray-Boyles",
"aiPrediction": "The Celtics' strong performance indicates they are poised for a deep playoff run, while the Raptors will need to regroup to secure their postseason spot.",
"observedAt": "2026-08-21T03:30:32.425Z",
"error": null
}

The most complete NBA scraper available. It returns every field the public NBA data feed exposes for scores, standings, teams and rosters, plus derived fields such as per-competitor points, rebounds and assists leaders, home and away box score splits, and an optional AI matchup summary, and gives you four modes with team and date filters to target exactly the records you need.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Platform Coverage Output Billing

Table of contents

What it does

This actor pulls live and historical NBA data in four modes:

  • Scores: one record per game for any date. Matchup, scores, live status and clock, home and away season records, venue and attendance, broadcast networks, betting line when posted, and the points, rebounds and assists leaders for each team. Optional per-game team box score and an optional AI matchup summary.
  • Standings: one record per team with conference, division, playoff seed, wins, losses, win percentage, games behind, current streak, points for and against per game, point differential, and home, away, last ten, division and conference splits.
  • Teams: one record per team (all 30) with location, nickname, colors, logo, home arena, and current standing summary.
  • Roster: one record per player for a chosen team with jersey number, position, height, weight, age, birthplace, college, years of experience, salary when available, and headshot.

It is built for NBA fans, sports betting and fantasy tools, media sites, and app developers who need clean, structured NBA data without maintaining a scraper.

Quickstart

Get today's games, or set a date. Free Apify plans return up to 10 records per run.

{
"mode": "scores",
"date": "2026-04-05",
"maxResults": 20
}

Standings for the current season:

{
"mode": "standings",
"maxResults": 30
}

A team roster:

{
"mode": "roster",
"teamAbbrev": "LAL",
"maxResults": 20
}

Input reference

NameTypeRequiredDescriptionExample
modestringnoWhat to scrape: scores, standings, teams or roster. Default scores."standings"
datestringnoScores mode only. Single day in YYYY-MM-DD. Empty returns today's games and nearby fixtures."2026-04-05"
seasonintegernoSeason year (for example 2026 for the 2025-26 season).2026
teamAbbrevstringnoRoster mode. Team abbreviation such as LAL, BOS, GSW."LAL"
teamIdstringnoRoster mode. Numeric team id (alternative to teamAbbrev; wins if both set)."13"
includeBoxScorebooleannoScores mode, paid plans. Add the full team box score per game. Billed only when a real box score is returned.true
aiMatchupSummarybooleannoScores mode, paid plans. Add an AI storyline, key players and prediction per game. Billed only on usable AI output.true
maxResultsintegernoMaximum records to return. Free plans are capped at 10.20

Output reference

Field set depends on mode. Common and per-mode fields:

NameTypeDescription
recordTypestringgame, standing, team or player
gameIdstringGame id (scores)
datestringGame date and time, ISO 8601 (scores)
shortNamestringShort matchup, e.g. TOR @ BOS (scores)
statusDetailstringGame status, e.g. Final or 4th 2:31 (scores)
homeTeam / awayTeamstringTeam names (scores)
homeScore / awayScorenumberTeam scores (scores)
homeRecord / awayRecordstringSeason record at game time (scores)
homeTopPerformer / awayTopPerformerstringStandout player per team (scores)
homeTopPerformerLinestringStandout stat line, e.g. 23 PTS, 13 REB, 7 AST (scores)
homePointsLeader / homeReboundsLeader / homeAssistsLeaderstringCategory leaders per team (scores)
venue / venueCity / venueStatestringArena and location (scores, teams)
broadcaststringBroadcast networks (scores)
spread / overUnder / homeMoneyLine / awayMoneyLinenumberBetting line when posted (scores)
homeFieldGoals / homeThreePointers / homeRebounds / homeAssistsstring, numberTeam box score, box score add-on (scores)
aiStoryline / aiKeyPlayers / aiPredictionstringAI matchup summary, AI add-on (scores)
team / teamAbbrev / teamIdstringTeam identity (standings, teams, roster)
conference / divisionstringConference and division (standings, teams)
playoffSeed / wins / losses / winPctnumberStanding (standings)
gamesBehind / streak / recordstringGames behind, streak, overall record (standings)
homeRecord / awayRecord / lastTenRecord / divisionRecord / conferenceRecordstringSplit records (standings)
pointsForPerGame / pointsAgainstPerGame / pointDifferentialnumberScoring splits (standings)
location / nickname / color / alternateColor / teamLogostringTeam identity and branding (teams)
standingSummarystringe.g. 1st in Pacific Division (teams)
player / jersey / positionstringPlayer identity (roster)
height / weight / age / college / experienceYears / salarystring, numberPlayer bio (roster)
birthCity / birthState / birthCountry / headshotstringPlayer origin and photo (roster)
observedAtstringWhen the record was captured, ISO 8601
errorstringError message when a record could not be built, otherwise null

Example output record

A standings record:

{
"recordType": "standing",
"team": "Oklahoma City Thunder",
"teamAbbrev": "OKC",
"teamId": "25",
"conference": "Western Conference",
"division": "Northwest",
"playoffSeed": 1,
"wins": 64,
"losses": 18,
"winPct": 0.78,
"gamesBehind": "-",
"streak": "W5",
"record": "64-18",
"homeRecord": "34-7",
"awayRecord": "30-11",
"lastTenRecord": "8-2",
"pointsForPerGame": 118.2,
"pointsAgainstPerGame": 107.6,
"pointDifferential": 10.6,
"observedAt": "2026-08-21T03:30:00.000Z",
"error": null
}

A roster record:

{
"recordType": "player",
"player": "Luka Doncic",
"team": "Los Angeles Lakers",
"teamAbbrev": "LAL",
"jersey": "77",
"position": "Guard",
"height": "6' 8\"",
"weight": "230 lbs",
"age": 27,
"birthCity": "Ljubljana",
"birthCountry": "Slovenia",
"experienceYears": 8,
"salary": 49500000,
"headshot": "https://a.espncdn.com/i/headshots/nba/players/full/3945274.png",
"observedAt": "2026-08-21T03:30:00.000Z",
"error": null
}

Run via API and CLI

Start a run with the Apify API:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~nba-scores-standings-scraper/runs?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{"mode":"scores","date":"2026-04-05","maxResults":20}'

Run with the Apify CLI:

apify call scrapers_lat/nba-scores-standings-scraper \
--input '{"mode":"standings","maxResults":30}'

Fetch results

Download the dataset items in JSON, CSV or Excel:

$curl "https://api.apify.com/v2/datasets/DATASET_ID/items?format=csv" -o nba.csv

The run response includes defaultDatasetId. Add &format=json, &format=csv or &format=xlsx.

Billing and limits

  • Pay per result. You are charged per record returned. Empty runs (for example a date with no games) return nothing and are not charged for results.
  • Events. result (one game, standing, team or player), plus optional game_boxscore (per-game team box score) and ai_matchup_summary (per-game AI summary). Add-ons are opt-in, off by default, and available on paid plans only.
  • No charge on failure. A record is only billed when real data is produced. Box score and AI events are billed only when they actually return content.
  • Free plan cap. Free Apify accounts return up to 10 records per run. Paid accounts can raise maxResults.
  • Spend cap. The actor respects your run maxTotalChargeUsd and stops emitting billable records once the limit is reached.

FAQ and troubleshooting

No records came back for my date. That date had no scheduled games. Try a date during the season, for example a regular season or playoff day.

Which team abbreviations work? Standard NBA abbreviations such as LAL, BOS, GSW, DEN, OKC. You can also pass a numeric teamId.

Are salaries always present? Salary is included when the source exposes it; otherwise it is null.

Is betting data always included? The spread, over/under and moneyline are included when a sportsbook line is posted for a game, otherwise they are null.

How fresh is the data? Scores reflect live game state including the current period and clock. Standings and rosters reflect the current season.

More scrapers at scrapers.lat

Building sports and data products? Explore more actors from scrapers_lat on Apify for scores, standings, odds and structured public data across sports, finance and business.


This actor is an independent tool that collects publicly available information. It is not affiliated with, endorsed by, or sponsored by the NBA or any team or data provider.