MLB Stats Scraper — Baseball Teams, Players, Scores & Standings

Get Major League Baseball data as clean, structured records. Choose what you need — league standings, team info, game scores or player rosters with season stats — set a season or a date, and export ready‑to‑use JSON, CSV or Excel.

Built for sports data teams, bettors and modelers, fantasy‑baseball players, journalists, app developers and researchers who want reliable MLB stats without hand‑copying tables or wiring up a data feed.

---

✨ What you can collect

This scraper covers four data types — pick one per run with the Data type setting:

• 🏆 Standings — full division and league tables: wins, losses, win %, games back, division/league/sport rank, streak, runs scored/allowed, run differential, home/away/last‑10 records, clinched and magic/elimination numbers.
• ⚾ Teams — all 30 MLB clubs with name, abbreviation, location, league, division, venue, franchise and first year of play.
• 📊 Scores — games and final scores for any date or date range: home/away teams, scores, winner, game status, series info, venue and start time.
• 🧢 Players — team rosters with each player's bio (position, bats/throws, height, weight, birth date, birthplace, MLB debut) plus season hitting and pitching stats.

---

💡 Why use it

• Four datasets, one actor — standings, teams, scores and players from a single tool with a consistent, typed output.
• Real season stats — player records come with hitting (AVG, HR, RBI, OPS, OBP, SLG, SB …) and pitching (ERA, W‑L, IP, SO, WHIP, saves …) for the season you choose.
• Any season, any date — pull the current season live, back‑fill historical seasons, or grab scores for a specific day or week.
• Clean, structured data — numbers as numbers, records as W-L strings, nested stat objects — ready for spreadsheets, databases, notebooks and BI tools.
• Fast and lightweight — efficient requests, parallel roster fetching, and de‑duplicated results out of the box.
• Export anywhere — JSON, CSV, Excel, HTML or via the Apify API and integrations (Google Sheets, Zapier, Make, webhooks, S3 …).

---

🚀 Quick start

1. Choose a Data type: standings, teams, scores or players.
2. Set the Season (year) — or a Date / date range for scores.
3. Click Start. Each entity comes back as one clean record.

---

📥 Input

Field	Type	Applies to	Description
Data type (dataType)	select	all	standings, teams, scores or players.
Season (season)	integer	standings, teams, players	Season year (e.g. 2026). Defaults to the current year.
Date (date)	string	scores	Single day YYYY-MM-DD. Empty = today.
Start date (startDate)	string	scores	First day of a date range YYYY-MM-DD.
End date (endDate)	string	scores	Last day of a date range YYYY-MM-DD.
Team IDs (teamIds)	array	players	Limit to specific team IDs. Empty = all 30 teams.
Include player season stats (includePlayerStats)	boolean	players	Add hitting & pitching stats to each player.
Roster type (rosterType)	select	players	active, 40Man, fullSeason or fullRoster.
Maximum records (maxItems)	integer	all	Cap the number of records.
Concurrency (maxConcurrency)	integer	players	Parallel requests.
Proxy configuration (proxyConfiguration)	object	all	Apify Proxy is recommended.

Example 1 — current standings

{
  "dataType": "standings",
  "season": 2026
}

Example 2 — all teams

{
  "dataType": "teams",
  "season": 2026
}

Example 3 — scores for one day

{
  "dataType": "scores",
  "date": "2026-08-25"
}

Example 4 — scores for a week

{
  "dataType": "scores",
  "startDate": "2026-08-18",
  "endDate": "2026-08-24"
}

Example 5 — players with stats (all teams)

{
  "dataType": "players",
  "season": 2026,
  "includePlayerStats": true
}

Example 6 — players for specific teams

{
  "dataType": "players",
  "season": 2026,
  "teamIds": ["147", "119"],
  "includePlayerStats": true
}

---

📤 Output

Every record is one dataset item and carries a recordType field (standing, team, game or player) plus a scrapedAt timestamp.

Standing

{
  "recordType": "standing",
  "season": 2026,
  "league": "American League",
  "division": "American League East",
  "team": "Blue Jays",
  "teamId": 141,
  "wins": 94,
  "losses": 68,
  "winningPercentage": ".580",
  "gamesPlayed": 162,
  "gamesBack": "-",
  "divisionRank": 1,
  "leagueRank": 1,
  "streak": "W4",
  "runsScored": 798,
  "runsAllowed": 721,
  "runDifferential": 77,
  "homeRecord": "54-27",
  "awayRecord": "40-41",
  "lastTenRecord": "5-5",
  "clinched": true,
  "magicNumber": "-",
  "eliminationNumber": "-"
}

Team

{
  "recordType": "team",
  "teamId": 147,
  "name": "New York Yankees",
  "abbreviation": "NYY",
  "teamName": "Yankees",
  "locationName": "Bronx",
  "league": "American League",
  "division": "American League East",
  "venue": "Yankee Stadium",
  "firstYearOfPlay": "1903",
  "franchiseName": "New York",
  "clubName": "Yankees",
  "active": true,
  "season": 2026
}

Game (score)

{
  "recordType": "game",
  "gamePk": 776604,
  "officialDate": "2026-08-25",
  "gameType": "R",
  "status": "Final",
  "awayTeam": "Boston Red Sox",
  "awayScore": 4,
  "homeTeam": "Baltimore Orioles",
  "homeScore": 3,
  "winner": "Boston Red Sox",
  "venue": "Oriole Park at Camden Yards",
  "seriesGameNumber": 1,
  "dayNight": "night"
}

Player

{
  "recordType": "player",
  "playerId": 592450,
  "fullName": "Aaron Judge",
  "team": "New York Yankees",
  "teamId": 147,
  "jerseyNumber": "99",
  "position": "Right Field",
  "positionAbbrev": "RF",
  "batSide": "Right",
  "pitchHand": "Right",
  "birthDate": "1992-04-26",
  "age": 34,
  "height": "6' 7\"",
  "weight": 282,
  "birthCity": "Linden",
  "birthCountry": "USA",
  "mlbDebutDate": "2016-08-13",
  "season": 2026,
  "hittingStats": {
    "gamesPlayed": 130,
    "avg": ".322",
    "homeRuns": 47,
    "rbi": 110,
    "hits": 156,
    "runs": 118,
    "obp": ".447",
    "slg": ".690",
    "ops": "1.137",
    "stolenBases": 9,
    "strikeOuts": 158,
    "walks": 121
  },
  "pitchingStats": null
}

Field reference

Standing

Field	Description
wins, losses, winningPercentage	Overall record and win percentage.
gamesPlayed, gamesBack	Games played and games behind the division leader.
divisionRank, leagueRank, sportRank	Rank within division, league and all of MLB.
streak	Current streak (e.g. W4, L2).
runsScored, runsAllowed, runDifferential	Offense, defense and run differential.
homeRecord, awayRecord, lastTenRecord	Split records as W-L.
clinched, divisionChamp, magicNumber, eliminationNumber	Postseason race indicators.

Team

Field	Description
name, abbreviation, teamName, locationName	Naming fields.
league, division	League and division.
venue	Home ballpark.
firstYearOfPlay, franchiseName, clubName	Franchise details.

Game

Field	Description
gamePk	Unique game ID.
officialDate, gameDate	Game date and start time.
gameType, status	Type (R = regular, etc.) and status (Final, In Progress …).
homeTeam, awayTeam, homeScore, awayScore	Teams and scores.
winner	Winning team (when final).
venue, seriesGameNumber, dayNight	Venue, series game number and day/night.

Player

Field	Description
fullName, firstName, lastName	Player name.
team, jerseyNumber, position	Current team, number and position.
batSide, pitchHand	Bats and throws.
birthDate, age, height, weight, birthCity, birthCountry	Bio.
mlbDebutDate, draftYear	Career milestones.
hittingStats	AVG, HR, RBI, hits, runs, OBP, SLG, OPS, SB, SO, walks …
pitchingStats	ERA, W‑L, IP, SO, WHIP, saves, games started …

---

💡 Use cases

• Sports betting & modeling — build datasets of standings, run differentials and player form to feed prediction and pricing models.
• Fantasy baseball — pull player stats and rosters to rank, draft and set lineups.
• Media & journalism — power live standings, box scores and player pages with fresh data.
• App & product development — back a baseball app, dashboard or Discord bot with clean MLB data.
• Research & analytics — study team performance, park effects, demographics and historical trends across seasons.
• Content & newsletters — automate weekly recaps of scores, standings and hot players.

---

🧭 Handy team IDs

Use these with Team IDs for the players data type (run teams for the full list):

• 147 New York Yankees · 111 Boston Red Sox · 141 Toronto Blue Jays · 110 Baltimore Orioles · 139 Tampa Bay Rays
• 119 Los Angeles Dodgers · 137 San Francisco Giants · 135 San Diego Padres · 109 Arizona Diamondbacks · 115 Colorado Rockies
• 112 Chicago Cubs · 158 Milwaukee Brewers · 113 Cincinnati Reds · 134 Pittsburgh Pirates · 138 St. Louis Cardinals
• 143 Philadelphia Phillies · 121 New York Mets · 144 Atlanta Braves · 146 Miami Marlins · 120 Washington Nationals
• 114 Cleveland Guardians · 116 Detroit Tigers · 142 Minnesota Twins · 118 Kansas City Royals · 145 Chicago White Sox
• 117 Houston Astros · 136 Seattle Mariners · 140 Texas Rangers · 133 Athletics · 108 Los Angeles Angels

---

🎯 Tips for best results

• Pick the right data type. Each run returns one type — schedule separate runs for standings, scores and players.
• Set the season. Standings, teams and player stats are season‑specific; leave it empty to use the current year.
• Use date ranges for scores. A single date returns that day; startDate/endDate return a whole span.
• Keep stats on for players. includePlayerStats adds hitting and pitching numbers in the same run.
• Narrow with team IDs. For players, pass teamIds to target specific clubs instead of all 30.
• Filter after export. Pull broadly, then filter on rank, OPS, ERA, run differential or date in your spreadsheet or database.

---

📈 Scaling up

• Back‑fill history — loop seasons to build multi‑year standings and player‑stat datasets.
• Track the season live — schedule daily runs of scores and standings to keep a database current.
• Whole‑league player stats — run players with no team filter to pull every roster in one job.

---

🔌 Run it your way

• Apify Console — choose a data type and click Start.
• API — start runs and pull the dataset programmatically.
• Scheduler — refresh scores, standings and stats on a schedule.
• Integrations — push results to Google Sheets, Zapier, Make, webhooks, S3 and more.

---

❓ FAQ

Which data can I get? League standings, team info, game scores, and player rosters with season hitting and pitching stats — one type per run.

Do I need an account or API key? No. Just choose a data type and click Start.

Can I get past seasons? Yes — set Season to any past year for standings, teams and player stats, or use a historical date range for scores.

Do player records include stats? Yes — keep Include player season stats on to add hitting and pitching numbers for the chosen season.

How do I get scores for a specific day? Set Date to that day, or use Start date and End date for a range.

Are doubleheaders and suspended games handled? Yes — games are de‑duplicated by their unique game ID so a resumed game isn't counted twice.

In what format is the data? Structured JSON by default, exportable to CSV, Excel, HTML and more.

Can I run it on a schedule? Yes — use the Apify Scheduler, or start runs through the Apify API and its integrations.

---

⚖️ Legal & responsible use

This tool collects publicly available Major League Baseball information such as standings, schedules, scores and player data for legitimate uses like analysis, research, journalism and app development. You are responsible for how you use the data and for complying with all applicable laws and regulations, the source website's terms, and any intellectual‑property rights. This scraper is not affiliated with, endorsed by, or connected to Major League Baseball, MLB Advanced Media, or any team; MLB, team names and all related marks are trademarks of their respective owners and are used here for identification only.

---

Tags

mlb · mlb scraper · baseball · baseball stats · mlb stats · mlb standings · mlb scores · mlb players · player stats · sports data · sports scraper · baseball api · fantasy baseball · sports betting data · box scores · team stats