Pricing

Pay per event

MLB Stats API Scraper — Schedules, Standings & Transactions

Pull game schedules and box scores, division and wild-card standings, and roster transactions from the official MLB Stats API (statsapi.mlb.com). Works across any date range and game type — regular season, spring training, and postseason.

Pricing

Pay per event

Rating

0.0

(0)

Developer

BowTiedRaccoon

Actor stats

Bookmarked

Total users

Monthly active users

14 days ago

Last modified

Categories

Sports

Developer tools

You can access the MLB Stats API Scraper — Schedules, Standings & Transactions programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "sp_intended_usage": "Describe your intended use...",
10    "sp_improvement_suggestions": "Share your suggestions here...",
11    "sp_contact": "Share your email here...",
12    "mode": "schedule",
13    "startDate": "2026-07-01",
14    "endDate": "2026-07-31",
15    "leagueIds": "103,104",
16    "gameType": "R",
17    "maxItems": 10,
18}
19
20# Run the Actor and wait for it to finish
21run = client.actor("jungle_synthesizer/mlb-statsapi-trade-deadline-pennant-race-scraper").call(run_input=run_input)
22
23# Fetch and print Actor results from the run's dataset (if there are any)
24print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
25for item in client.dataset(run.default_dataset_id).iterate_items():
26    print(item)
27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

MLB Stats API Scraper — Schedules, Standings & Transactions API in Python

The Apify API client for Python is the official library that allows you to use MLB Stats API Scraper — Schedules, Standings & Transactions API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

MLB Stats API Scraper — Schedules, Standings & Transactions API in JavaScript

MLB Stats API Scraper — Schedules, Standings & Transactions API through CLI

MLB Stats API Scraper — Schedules, Standings & Transactions OpenAPI definition

MLB Stats API Scraper — Schedules, Standings & Transactions API

MLB Stats API

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Scrape MLB teams, rosters, player season stats, schedules, final scores and division standings from the official MLB Stats API. Covers all 30 Major League Baseball clubs with wins, losses, runs and records. Export to JSON, CSV or Excel.

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chrisp1211/mlb-stats-scraper-max

Scrape MLB baseball teams, schedules, standings and rosters from the official MLB Stats API. Returns team, game, standing and player data. No API key. Pay per record; empty or failed runs cost nothing.

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crawlerbros/mlb-baseball-stats-scraper

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Scrape the official MLB Stats API - comprehensive baseball data including teams, player batting/pitching stats, schedules, and standings. Official MLB data source, no authentication required.

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