# Live Sports Scores, Fixtures & Results (`goat255/sports-scores-live`) Actor

Live and scheduled sports scores, fixtures, and final results across many sports and leagues. One clean row per game with teams, scores, status, and start time.

- **URL**: https://apify.com/goat255/sports-scores-live.md
- **Developed by:** [Goutam Soni](https://apify.com/goat255) (community)
- **Categories:** News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 event returneds

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

## Live Sports Scores, Fixtures & Results

Get **live scores, upcoming fixtures, and final results** across many sports and leagues in one clean, structured feed. Give it a list of leagues and it returns one row per game with both team names, the current score, the game state, and the start time. Ideal for live scoreboards, score bots, notification pipelines, and scheduled result collection.

### What it does

For each league you list, the actor returns every game currently on the board:

- **Live games** with the running score and clock/period detail
- **Upcoming fixtures** with scheduled start times
- **Final results** with the completed score

Pass an optional date to pull a specific day's slate, or leave it empty for today. Run it on a schedule to keep a scores table always up to date.

### Supported leagues

Leagues are given as a `sport/league` pair. A few common ones:

| Pair | League |
|---|---|
| `basketball/nba` | Basketball |
| `soccer/eng.1` | Top-flight English soccer |
| `football/nfl` | American football |
| `baseball/mlb` | Baseball |
| `hockey/nhl` | Ice hockey |

Many more sports and leagues follow the same `sport/league` pattern.

### Input

| Field | Type | Default | Notes |
|---|---|---|---|
| `leagues` | array | `["basketball/nba"]` | One or more `sport/league` pairs |
| `date` | string | (today) | Optional single day as `YYYYMMDD`, e.g. `20260614` |
| `maxConcurrency` | integer | `5` | How many leagues to fetch in parallel (1–20) |

Example input:

```json
{
  "leagues": ["basketball/nba", "soccer/eng.1"],
  "maxConcurrency": 5
}
```

### Output

One row per game:

| Field | Description |
|---|---|
| `league` | The `sport/league` pair the game belongs to |
| `eventId` | Stable identifier for the game |
| `name` | Full matchup name (e.g. `Team A at Team B`) |
| `shortName` | Compact matchup (e.g. `A @ B`) |
| `date` | Scheduled start time (ISO 8601) |
| `state` | `pre` (scheduled), `in` (live), or `post` (finished) |
| `completed` | `true` once the game is final |
| `statusDetail` | Human-readable status (e.g. `Final`, `Halftime`, `7:30 - 2nd`) |
| `homeTeam`, `homeScore` | Home side and its score |
| `awayTeam`, `awayScore` | Away side and its score |

### Pricing

Pay-per-result: you are charged only for each game row returned. Empty responses (no games for a league or date) are free.

### Tips

- Schedule the run every few minutes for a near-live scoreboard.
- Filter output on `state` to split live games (`in`) from finished ones (`post`).
- Scores are `null` for games that have not started yet.

**Found this useful?** [Leave a quick review](https://apify.com/goat255/sports-scores-live/reviews). It takes a few seconds and it genuinely helps other people find the actor.

# Actor input Schema

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

Leagues to fetch, each as a "sport/league" pair. Examples: basketball/nba, soccer/eng.1, football/nfl, baseball/mlb, hockey/nhl.

## `date` (type: `string`):

Restrict to a single day in YYYYMMDD format (e.g. 20260614). Leave empty for today's live and scheduled games.

## `maxConcurrency` (type: `integer`):

How many leagues to fetch in parallel.

## Actor input object example

```json
{
  "leagues": [
    "basketball/nba",
    "soccer/eng.1"
  ],
  "date": "20260614",
  "maxConcurrency": 5
}
```

# 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": [
        "basketball/nba",
        "soccer/eng.1"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("goat255/sports-scores-live").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": [
        "basketball/nba",
        "soccer/eng.1",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("goat255/sports-scores-live").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": [
    "basketball/nba",
    "soccer/eng.1"
  ]
}' |
apify call goat255/sports-scores-live --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=goat255/sports-scores-live",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/iALcmlLbxQLCvHZEh/builds/RxLRntsHDm7MAQVod/openapi.json