# Sports Scores, Fixtures & Standings Scraper (`scrapemint/sports-scores-scraper`) Actor

Get game scores, upcoming fixtures, results and league standings as clean rows. Covers world soccer (Premier League, La Liga, Champions League and dozens more) plus NBA, NFL, MLB, NHL, college sports and cricket. One row per game or per team. No API key needed.

- **URL**: https://apify.com/scrapemint/sports-scores-scraper.md
- **Developed by:** [Ken M](https://apify.com/scrapemint) (community)
- **Categories:** News, Business
- **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 game or standings rows

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Sports Scores, Fixtures & Standings Scraper

Get **game scores, upcoming fixtures, final results and league tables** as clean rows, ready for your app, bot, spreadsheet or dashboard. Covers world soccer (Premier League, La Liga, Serie A, Bundesliga, Champions League, MLS and dozens more) plus **NBA, WNBA, NFL, MLB, NHL, college sports and cricket**.

Built for **sports app and Discord bot builders, fantasy tools, newsletters, bettors and analysts**. Schedule it daily and always have yesterday's results and today's fixtures; or pull a whole month of results for any league in one run.

### What you get for each game

- **teams**: home and away names and short codes
- **scores**: home and away, live or final, plus the winner
- **when and where**: kickoff or tipoff time, venue and city
- **status**: scheduled, live (with game clock) or final

Standings mode gives one row per team instead: rank, games played, wins, losses, points and the full stat line, with conference and division groups kept.

### Example output

```json
{
  "league": "nba",
  "leagueName": "National Basketball Association",
  "gameId": "401766123",
  "name": "New York Knicks at San Antonio Spurs",
  "date": "2026-07-14T00:00Z",
  "status": "Final",
  "completed": true,
  "homeTeam": "San Antonio Spurs",
  "homeScore": 90,
  "awayTeam": "New York Knicks",
  "awayScore": 94,
  "winner": "New York Knicks",
  "venue": "Frost Bank Center",
  "city": "San Antonio"
}
```

### Which leagues work?

Common names work out of the box: `epl`, `laliga`, `seriea`, `bundesliga`, `ligue1`, `ucl`, `mls`, `nba`, `wnba`, `nfl`, `mlb`, `nhl`, `ncaaf`, `ncaab`. Every other league on ESPN works as `sport/league`, for example:

- `soccer/bra.1` — Brazilian Serie A
- `soccer/ken.1` — Kenyan Premier League
- `soccer/arg.1` — Argentine Liga Profesional
- `cricket/8048` — Indian Premier League

### Dates

Leave the dates empty to get the **current slate** (recent and upcoming games). Or set a from/to date to pull history or a future schedule, up to 31 days per run: post-game results appear within minutes of the final whistle.

### Pricing

**$0.003 per game or standings row.** Unknown league ids and days with no games are **free**, and the first 2 rows of every run are free. A full MLB day (15 games) costs about $0.05; a month of Premier League results costs about $0.11.

### How to run it via API

```bash
curl -X POST "https://api.apify.com/v2/acts/scrapemint~sports-scores-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"leagues": ["epl", "nba"], "dataType": "scores", "startDate": "2026-07-01", "endDate": "2026-07-14"}'
```

### Frequently asked questions

**Are live scores really live?** Rows reflect the moment the run executes, including the game clock for games in progress. Schedule runs as often as you need; each run fetches fresh data.

**Can I get betting odds too?** That is a separate tool: [Sports Odds Scraper](https://apify.com/scrapemint/sports-odds-scraper). This one focuses on schedules, scores and tables.

**What about player stats?** Not in this version. It covers games and standings; player box scores may come later if people ask.

**Where does the data come from?** ESPN's public website feeds, the same data shown on their scoreboard pages.

### More tools from Scrapemint

- [Sports Odds Scraper](https://apify.com/scrapemint/sports-odds-scraper): betting odds for upcoming games.
- [Streaming Availability Scraper](https://apify.com/scrapemint/streaming-availability-scraper): where to watch movies and shows.
- [Google News Scraper](https://apify.com/scrapemint/google-news-scraper): news coverage for any team or topic.

# Actor input Schema

## `leagues` (type: `array`):

One league per line. Common names work: epl, laliga, seriea, bundesliga, ligue1, ucl, mls, nba, wnba, nfl, mlb, nhl. Any other ESPN league works as sport/league, e.g. soccer/ken.1 (Kenyan Premier League), soccer/bra.1, cricket/8048 (IPL), basketball/mens-college-basketball.

## `dataType` (type: `string`):

Scores and fixtures gives one row per game. Standings gives one row per team in the league table.

## `startDate` (type: `string`):

First day to fetch games for, YYYY-MM-DD. Leave empty for the current slate (recent and upcoming games). Ignored for standings.

## `endDate` (type: `string`):

Last day to fetch games for, YYYY-MM-DD. Leave empty to fetch a single day. Ranges are capped at 31 days per run. Ignored for standings.

## `maxRows` (type: `integer`):

Stop after this many rows in total (protects your budget on long date ranges).

## Actor input object example

```json
{
  "leagues": [
    "mlb",
    "epl",
    "mls",
    "nba",
    "laliga"
  ],
  "dataType": "scores",
  "maxRows": 500
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "leagues": [
        "mlb",
        "epl",
        "mls",
        "nba",
        "laliga"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapemint/sports-scores-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "leagues": [
        "mlb",
        "epl",
        "mls",
        "nba",
        "laliga",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("scrapemint/sports-scores-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "leagues": [
    "mlb",
    "epl",
    "mls",
    "nba",
    "laliga"
  ]
}' |
apify call scrapemint/sports-scores-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapemint/sports-scores-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/5vVEuAfo4sbxaOGTS/builds/7DSxXXikEMVurAOsW/openapi.json