MLB Stats Scraper

hipersoft/mlb-statsapi-scraper

Fetch MLB baseball data in bulk — teams, rosters, schedules, scores and player profiles. One clean row per team, roster spot, game or player with names, leagues, divisions, venues, scores and bios. Fast and reliable for sports apps, stats dashboards, fantasy tools and n8n.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per item scraped

$0.001

Last rebuilt

Oct 28, 2026

Overview

MLB Stats Scraper pulls teams, rosters, schedules, scores and player profiles for Major League Baseball — all as clean, structured data. List every MLB club for a season, get the full roster for a team, pull games and results for any date or date range, and look up player bios by id or name. Export to JSON, CSV, Excel or XML. Fast, reliable, and built for sports apps, stats dashboards, fantasy tools and automation workflows.

What does this MLB scraper do?

Pick a mode, add a couple of parameters, and it returns every matching record as structured data:

Teams — every MLB club for a season, with league, division, venue, city and the year the franchise started play.
Roster — all players on a team for a season, with position, jersey number and team id.
Schedule — games for a single date or a date range, with home/away teams, scores, status and venue.
Player — a single player profile by id, or a name search, with position, bat side, throwing hand, birth date, birth country and MLB debut date.

What data can you get?

Data point	Description
Team	`id`, `name`, `abbreviation`, `league`, `division`, `venue`, `city`, `firstYearOfPlay`
Roster	`playerId`, `name`, `position`, `jerseyNumber`, `teamId`
Schedule	`gamePk`, `date`, `homeTeam`, `awayTeam`, `homeScore`, `awayScore`, `status`, `venue`
Player	`id`, `name`, `primaryPosition`, `batSide`, `throws`, `birthDate`, `birthCountry`, `mlbDebutDate`

What you get

Each team, roster spot, game or player is one clean dataset record. Every row carries a recordType so you can tell them apart. Export the full table to JSON, CSV, Excel or XML, or pull it programmatically.

{
  "mode": "teams",
  "recordType": "team",
  "id": 147,
  "name": "New York Yankees",
  "abbreviation": "NYY",
  "league": "American League",
  "division": "American League East",
  "venue": "Yankee Stadium",
  "city": "Bronx",
  "firstYearOfPlay": "1903"
}

Use cases

Build team directories and league/division tables for a baseball site or app.
Pull daily schedules and final scores into a dashboard or calendar.
Backfill results across a date range for a stats or analytics dataset.
Enrich fantasy tools with roster positions, jersey numbers and player bios.
Power a bot that reports last night's games and scores.

How to use the MLB Stats Scraper

Add the MLB Stats Scraper to your Apify account and open its input.
Choose a mode: teams, roster, schedule or player.
Fill the matching parameter — season for teams/roster, teamId for roster, date (or startDate + endDate) for schedule, or playerId / playerName for player.
Click Run.
Export the results as JSON, CSV, Excel or XML, or pull them via the Apify API.

Input

{
  "mode": "teams",
  "season": 2025
}

Field	Description
`mode`	`teams`, `roster`, `schedule` or `player`.
`season`	Four-digit year for `teams` and `roster` (e.g. 2025). Defaults to the current year.
`teamId`	Numeric team id for `roster` (e.g. 147 for the Yankees).
`date`	Single date for `schedule` (YYYY-MM-DD).
`startDate` / `endDate`	Date range for `schedule` (YYYY-MM-DD).
`playerId`	Numeric player id for `player` (e.g. 545361).
`playerName`	Player name to search for `player` (e.g. "Mike Trout").

Tip: chaining modes

Don't know an id? Run teams to list every club and its id, roster to get player ids for a team, then feed a playerId into player for the full profile — or a teamId into roster for the squad.

Output schema

Fields below are for the teams mode. The roster, schedule and player modes return their own record shapes, and each row carries a recordType so you can tell them apart.

Field	Type	Description
`mode`	string	The mode that produced the record.
`recordType`	string	`team`, `rosterPlayer`, `game` or `player`.
`id`	integer	Unique identifier for the team.
`name`	string	Team name (e.g. "New York Yankees").
`abbreviation`	string	Short team code (e.g. "NYY").
`league`	string	League name (American or National League).
`division`	string	Division name (e.g. "American League East").
`venue`	string	Home ballpark.
`city`	string	Team location / city.
`firstYearOfPlay`	string	Year the franchise started play.

Need more sports & media data?

Sports Data Scraper (TheSportsDB) — teams, fixtures, results and players across many sports.
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TVmaze Scraper — TV shows, episodes and cast data.

FAQ

Which league and seasons are covered? Major League Baseball, across current and historical seasons. Pass any four-digit season year to the teams and roster modes, and any date to the schedule mode.

How do I find a team or player id? Run the teams mode to list every club and its id, then run roster for a team to get player ids. You can also search a player by name with playerName.

What export formats are supported? JSON, CSV, Excel and XML, plus programmatic access through the Apify API.

How does billing work? You pay per item you get, so cost scales with the number of records you actually collect. See the Pricing tab for current rates.

Can I use this with n8n? Yes. Run the MLB Stats Scraper from n8n with the Apify node — trigger a run, pass your mode and parameters, and read the dataset items straight into your workflow. It also works with Make, Zapier and the Apify API.

Can I connect this to other tools? The MLB Stats Scraper connects with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Notes

Original clean-room implementation. Reads only publicly available baseball information. Not affiliated with, endorsed by or connected to Major League Baseball, MLB Advanced Media or any club.

Input

Field	Type	Description
`mode` Mode	string · teams, roster, schedule, player	What to fetch: teams (all MLB teams for a season), roster (all players on a team for a season), schedule (games, scores and status for a date or date range), or player (a single player profile by id, or search by name). Default: `"teams"`
`season` Season (year)	integer	Four-digit year used by teams and roster (e.g. 2025). Defaults to the current year when left empty.
`teamId` Team ID	integer	Numeric MLB team id used by the roster mode (e.g. 147 for the New York Yankees, 133 for the Athletics). Run the teams mode first to look ids up.
`date` Schedule date (YYYY-MM-DD)	string	Single date for the schedule mode, e.g. 2025-07-04. Ignored if Start date and End date are both set.
`startDate` Schedule start date (YYYY-MM-DD)	string	Start of a date range for the schedule mode, e.g. 2025-07-01. Use together with End date to pull multiple days of games.
`endDate` Schedule end date (YYYY-MM-DD)	string	End of a date range for the schedule mode, e.g. 2025-07-07. Use together with Start date.
`playerId` Player ID	integer	Numeric MLB player id for the player mode (e.g. 545361 for Mike Trout). Takes priority over Player name if both are set. Find ids via the roster mode.
`playerName` Player name	string	Player name to search in the player mode when you do not have the id (e.g. "Mike Trout"). Ignored if Player ID is set.

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~mlb-statsapi-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "season": 2025,
  "teamId": 147,
  "date": "2025-07-04",
  "startDate": "2025-07-01",
  "endDate": "2025-07-07",
  "playerId": 545361,
  "playerName": "Mike Trout"
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/mlb-statsapi-scraper").call(run_input={
    "season": 2025,
    "teamId": 147,
    "date": "2025-07-04",
    "startDate": "2025-07-01",
    "endDate": "2025-07-07",
    "playerId": 545361,
    "playerName": "Mike Trout"
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/mlb-statsapi-scraper').call({
  "season": 2025,
  "teamId": 147,
  "date": "2025-07-04",
  "startDate": "2025-07-01",
  "endDate": "2025-07-07",
  "playerId": 545361,
  "playerName": "Mike Trout"
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Item Scraped Charged per item scraped.	$0.001	$0.0005

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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