NBA Stats Scraper for espn.com

What does NBA Stats Scraper for espn.com do?

NBA Stats Scraper for espn.com pulls box scores from espn.com: one row per player per game, carrying that player's full statline and that team's totals. Every row has minutesPlayed, pointsTotal, field goals, three pointers and free throws as made / attempted / percentage, reboundsOffensive and reboundsDefensive, assistsTotal, turnoversTotal, stealsTotal, blocksTotal, foulsPersonal and plusMinusNumeric — plus the quarter-by-quarter score, the opponent, the venue, the margin and the result. Pick a whole season, a date, a date range or a single game, and narrow to the teams you follow.

How to use this actor

• 👉 Register for a free Apify account — no credit card required.
• 🎉 Just click Sign up free on Apify → and complete a quick signup.
• 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
• ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

• 🏀 Player line and team totals on the same row: every row is one player in one game: minutes, points, field goals, three pointers and free throws as made/attempted/percentage, offensive and defensive rebounds, assists, turnovers, steals, blocks, personal fouls and plus/minus. The same row also carries that team's full totals — including largest lead, technical and flagrant fouls, and team turnovers — so team-level analysis needs no second run and no join.
• 🔁 The opponent, the venue and the result, already joined: each row names the opposing team, its id, abbreviation, city and logo, its score, the margin, the venue and whether this row's team won. Filter to a matchup or a result without touching a second dataset.
• 🗓️ A season, a date range or a single game: query takes season:2025 for a whole season, 2025-03-15 for one night, 2025-03-14..2025-03-16 for a range, or game:401705534 for one box score. Leave it empty and you get the current season. Use a JSON array to run several at once.
• ♻️ Only what changed — including corrected statlines: recurring runs deliver and charge only for rows that are new or whose tracked content moved — the change signature covers the whole delivered row, so a corrected statline or a score that settled after a half-time scrape is caught. Opt into UNCHANGED and EXPIRED rows when you need the full picture.
• ⚡ One request per game, no proxy, no browser: A single request returns both rosters and both teams' totals — roughly 26 rows — as plain JSON. Measured 2026-09-03 from a bare datacenter IP with no proxy and no browser: 4 requests returned 82 rows in 2.0 seconds.
• 🔔 Notifications: Telegram, Slack, Discord, WhatsApp Cloud API and a generic webhook, out of the box.
• 📦 Compact and empty-field stripping: compact keeps the identity and the core line; excludeEmptyFields drops nulls before push. Both shrink payloads for AI agents and dashboards.

What data can you extract from espn.com?

Every row is one player in one game, and carries four blocks.

The player's line — minutesPlayed, pointsTotal, fieldGoalsMade / fieldGoalsAttempted / fieldGoalsPct, the same three for three pointers and free throws, reboundsTotal / reboundsOffensive / reboundsDefensive, assistsTotal, turnoversTotal, assistsToTurnoversRatio, stealsTotal, blocksTotal, foulsPersonal, plusMinus and plusMinusNumeric. Players who did not dress still get a row, flagged with playerDidNotPlay, playerActive and playerEjected, so a roster is never silently short.

The player — playerId, playerDisplayName, playerShortName, playerJersey, playerPosition, playerPositionAbbr, playerHeadshot and playerStarter.

The team's totals, on the same row — shooting splits with percentages, teamReboundsTotal / teamReboundsOffensive / teamReboundsDefensive, teamAssistsTotal, teamTurnoversTotal, teamTurnoversNonPlayer, teamAssistsToTurnoversRatio, teamStealsTotal, teamBlocksTotal, and teamFoulsPersonal / teamFoulsTechnical / teamFoulsFlagrant. Team-level analysis therefore needs no second run and no join.

The game — gameId, gameDate, gameDatetime, gameSeason, gameSeasonTypeName (Preseason, Regular Season, Play-In Season, Postseason), teamHomeAway and teamIsHome (home/away splits need no lookup), teamVenue with teamVenueCity and teamVenueState, the quarter-by-quarter score for both sides (teamQ1Points..teamQ4Points, teamOvertimePoints and the matching opponent* columns), the full opponent block (opponentNameFull, opponentAbbreviation, opponentCity, opponentMascot, opponentLogo, opponentScore), scorePointsFor, scorePointsAgainst, scoreMargin, scoreLargestLead and teamOutcome.

Not included: play-by-play, betting odds, standings, injury reports and ESPN's news articles. They ride along in the same response and are a different product; see docs/FIELD_COVERAGE.md for the full list and the reason for each.

Input

The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — A season (season:2025), a date (2025-03-15), a date range (2025-03-14..2025-03-16) or one game (game:401705534). Leave empty for the current season. Use a JSON array for several, e.g. ["season:2024","season:2025"].
• teams — Only games involving these teams. Abbreviation or name both work: BOS, Celtics, Boston Celtics. Applied when the calendar is read, so you are not charged for the other 29 teams. Leave empty for every team.
• maxResults — Maximum rows to deliver. One game is about 26 rows (both rosters), one night about 200, a full regular season about 32,000. (default: 100)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• incrementalMode — Deliver only rows that are new or whose stats changed since the last run — ESPN corrects box scores after the final whistle. stateKey is optional and defaults to one derived from what you asked for, so two different queries never share state. (default: false)
• stateKey — Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs.
• telegramToken — Telegram bot token (from @BotFather). Required for Telegram notifications.
• telegramChatId — Telegram chat or channel ID (e.g. "-100123456789"). Required when telegramToken is set.
• discordWebhookUrl — Discord incoming webhook URL. Server Settings → Integrations → Webhooks → New Webhook.
• slackWebhookUrl — Slack incoming webhook URL. api.slack.com/messaging/webhooks.
• notificationLimit — Maximum number of listings included in each notification message (1–20). (default: 5)
• notifyOnlyChanges — When Incremental Mode is on, only send notifications for NEW and UPDATED listings. Has no effect outside incremental mode. (default: false)
• ...and 10 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "season:2025",
  "maxResults": 50
}

Incremental tracking — Only emit box score rows that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "season:2025",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "season:2025-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "season:2025",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured box score row records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example box score row record

{
  "recordType": "playerGame",
  "gameId": "401812480",
  "gameDate": "2025-10-02",
  "gameDatetime": "2025-10-02T16:00Z",
  "gameSeason": 2026,
  "gameSeasonType": 1,
  "gameSeasonTypeName": "Preseason",
  "gameOutcome": "L",
  "teamId": "20",
  "teamNameFull": "Philadelphia 76ers",
  "teamAbbreviation": "PHI",
  "teamCity": "Philadelphia",
  "teamMascot": "76ers",
  "teamLogo": "https://a.espncdn.com/i/teamlogos/nba/500/phi.png",
  "teamHomeAway": "away",
  "teamIsHome": false,
  "teamVenue": "Etihad Arena",
  "teamVenueCity": "Abu Dhabi",
  "teamOutcome": "L",
  "opponentId": "18",
  "opponentNameFull": "New York Knicks",
  "opponentAbbreviation": "NY",
  "opponentCity": "New York",
  "opponentMascot": "Knicks",
  "opponentLogo": "https://a.espncdn.com/i/teamlogos/nba/500/ny.png",
  "opponentScore": 99,
  "scorePointsFor": 84,
  "scorePointsAgainst": 99,
  "scoreMargin": -15,
  "scoreLargestLead": 6,
  "teamQ1Points": 25,
  "teamQ2Points": 18,
  "teamQ3Points": 14,
  "teamQ4Points": 27,
  "teamOvertimePoints": 0,
  "opponentQ1Points": 25,
  "opponentQ2Points": 28,
  "opponentQ3Points": 28,
  "opponentQ4Points": 18,
  "opponentOvertimePoints": 0,
  "teamFieldGoalsMade": 27,
  "teamFieldGoalsAttempted": 78,
  "teamFieldGoalsPct": 35,
  "teamThreePointersMade": 3,
  "teamThreePointersAttempted": 35,
  "teamThreePointersPct": 9,
  "teamFreeThrowsMade": 27,
  "teamFreeThrowsAttempted": 32,
  "teamFreeThrowsPct": 84,
  "teamReboundsTotal": 46,
  "teamReboundsOffensive": 10,
  "teamReboundsDefensive": 36,
  "teamAssistsTotal": 17,
  "teamTurnoversTotal": 20,
  "teamTurnoversNonPlayer": 0,
  "teamAssistsToTurnoversRatio": 0.85,
  "teamStealsTotal": 8,
  "teamBlocksTotal": 5,
  "teamFoulsPersonal": 24,
  "teamFoulsTechnical": 0,
  "teamFoulsFlagrant": 0,
  "playerId": "4870562",
  "playerDisplayName": "Dominick Barlow",
  "playerShortName": "D. Barlow",
  "playerJersey": "25",
  "playerPosition": "Forward",
  "playerPositionAbbr": "F",
  "playerHeadshot": "https://a.espncdn.com/i/headshots/nba/players/full/4870562.png",
  "playerStarter": true,
  "playerActive": true,
  "playerDidNotPlay": false,
  "playerEjected": false,
  "minutesPlayed": 30,
  "pointsTotal": 6,
  "fieldGoalsMade": 2,
  "fieldGoalsAttempted": 5,
  "fieldGoalsPct": 40,
  "threePointersMade": 0,
  "threePointersAttempted": 2,
  "threePointersPct": 0,
  "freeThrowsMade": 2,
  "freeThrowsAttempted": 2,
  "freeThrowsPct": 100,
  "reboundsTotal": 10,
  "reboundsOffensive": 1,
  "reboundsDefensive": 9,
  "assistsTotal": 2,
  "turnoversTotal": 1,
  "assistsToTurnoversRatio": 2,
  "stealsTotal": 1,
  "blocksTotal": 0,
  "foulsPersonal": 4,
  "plusMinus": "+9",
  "plusMinusNumeric": 9,
  "name": "Dominick Barlow",
  "listingId": "06e8eeabfa1d87b31760a0afb472cd32965b168cd5d5bb1d9e5db284e427d276",
  "url": "https://www.espn.com/nba/boxscore/_/gameId/401812480",
  "portalUrl": "https://www.espn.com/nba/boxscore/_/gameId/401812480",
  "searchQuery": "season:2026",
  "contentQuality": "full",
  "detailFetched": false,
  "scrapedAt": "2026-09-03T21:25:08.503Z",
  "source": "espn.com",
  "contentHash": "059143bde501e7c7388921065d06723b1cf06ce1f406db7e97c85a393f2317ba"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.

How to scrape espn.com

1. Go to NBA Stats Scraper for espn.com in Apify Console.
2. Enter a search keyword.
3. Set maxResults to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract box score row data from espn.com for market research and competitive analysis.
• Monitor new and changed box score rows on scheduled runs without processing the full dataset every time.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape espn.com?

NBA Stats Scraper for espn.com uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.001 per run
• Per result: $0.0005 per box score row record

Example costs:

• 10 results: $0.006
• 25 results: $0.014
• 100 results: $0.051
• 200 results: $0.1
• 500 results: $0.25

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of box score rows that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 box score rows per run, daily polling (30 runs/month). Costs scale linearly with the number of box score rows.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.13	$0.00725	$0.12 (94%)	$0.22
15% — moderate broad query	$0.13	$0.02	$0.11 (84%)	$0.59
30% — high-volume aggregator	$0.13	$0.04	$0.09 (69%)	$1.16

Full re-scrape monthly cost at the same cadence: $3.78. First month with incremental costs $0.34 / $0.70 / $1.24 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from espn.com?

The number of results depends on the search query and available box score rows on espn.com. Use the maxResults parameter to control how many results are returned per run.

Does NBA Stats Scraper for espn.com support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed box score rows on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate NBA Stats Scraper for espn.com with other apps?

Yes. NBA Stats Scraper for espn.com works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use NBA Stats Scraper for espn.com with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use NBA Stats Scraper for espn.com through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape espn.com?

This actor extracts publicly available data from espn.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on espn.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with NBA Stats's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is not affiliated with, endorsed by, or connected to NBA Stats.

Search keywords

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