# Sports Scraper — Teams, Players, Leagues & Results (`hichemdev/sports-scraper`) Actor

Scrape sports data across football, basketball, NFL, NHL and more: team profiles with stadium and capacity, squad lists, league rosters and season results with scores. No API key.

- **URL**: https://apify.com/hichemdev/sports-scraper.md
- **Developed by:** [Hichem Ben Moussa](https://apify.com/hichemdev) (community)
- **Categories:** Business, Developer tools, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 records

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Scraper — Teams, Players, Leagues & Results

Scrape **sports data across football, basketball, NFL, NHL and more** — **team profiles** (stadium, capacity, founding year), **full squad lists**, **league rosters** and **season match results with scores**. No API key required.

### What you can do with it

- ⚽ **Fantasy & betting analytics** — squads, fixtures and results
- 📊 **Sports media & content** — team and player databases
- 🏟️ **Venue and market research** — stadium capacity by league
- 🤖 **Power a sports app or bot** with structured data

### Input

| Field | Type | Description |
|-------|------|-------------|
| `mode` | select | Team profiles · squad/players · all teams in a league · season results · list leagues. |
| `teams` | array | Team names, e.g. `Arsenal`, `Lakers`. |
| `leagueId` | string | `4328` = Premier League, `4387` = NBA, `4391` = NFL, `4380` = NHL. |
| `season` | string | e.g. `2024-2025` — for season results. |
| `country` / `sport` | string | Filters when listing leagues. |
| `maxItems` | integer | Max records. |
| `apiKey` | string | Optional key to raise rate limits. |

#### Examples

```json
{ "mode": "team", "teams": ["Arsenal", "Real Madrid"] }
```

```json
{ "mode": "season-events", "leagueId": "4328", "season": "2024-2025", "maxItems": 400 }
```

### Output

```json
{
  "type": "team",
  "teamId": "133604",
  "name": "Arsenal",
  "league": "English Premier League",
  "country": "England",
  "formedYear": 1892,
  "stadium": "Emirates Stadium",
  "stadiumCapacity": 60338,
  "website": "www.arsenal.com",
  "badge": "https://www.thesportsdb.com/images/media/team/badge/....png"
}
```

Match results return `homeTeam`, `awayTeam`, `homeScore`, `awayScore`, `date` and `venue`; players return position, nationality and birth date.

Export to JSON, CSV, Excel, or pull live via the Apify API.

### Notes

- Powered by **TheSportsDB** public API — covers soccer, basketball, American football, ice hockey, motorsport and more.
- The free public tier is rate-limited; add your own `apiKey` for heavy use.

# Actor input Schema

## `mode` (type: `string`):

Choose the type of sports data to collect.

## `teams` (type: `array`):

Team names to look up, e.g. "Arsenal", "Lakers". Used by the team and players modes.

## `leagueId` (type: `string`):

League ID for league modes. 4328 = English Premier League, 4387 = NBA, 4391 = NFL, 4380 = NHL.

## `season` (type: `string`):

Season for match results, e.g. "2024-2025". Required for the season results mode.

## `country` (type: `string`):

Country filter when listing leagues, e.g. "England", "Spain".

## `sport` (type: `string`):

Sport filter when listing leagues, e.g. Soccer, Basketball, American Football, Ice Hockey.

## `maxItems` (type: `integer`):

Maximum number of records to scrape.

## `apiKey` (type: `string`):

Optional key to raise rate limits. Leave empty to use the free public tier.

## `proxyConfiguration` (type: `object`):

Optional. The sports API is public and works without a proxy.

## Actor input object example

```json
{
  "mode": "team",
  "teams": [
    "Arsenal"
  ],
  "leagueId": "4328",
  "sport": "Soccer",
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (type: `string`):

All scraped items as JSON.

## `overview` (type: `string`):

Browse results in the Apify Console.

# 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 = {
    "teams": [
        "Arsenal"
    ],
    "leagueId": "4328",
    "season": "",
    "country": "",
    "sport": "Soccer",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("hichemdev/sports-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 = {
    "teams": ["Arsenal"],
    "leagueId": "4328",
    "season": "",
    "country": "",
    "sport": "Soccer",
    "maxItems": 10,
}

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

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

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

```

## CLI example

```bash
echo '{
  "teams": [
    "Arsenal"
  ],
  "leagueId": "4328",
  "season": "",
  "country": "",
  "sport": "Soccer",
  "maxItems": 10
}' |
apify call hichemdev/sports-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hichemdev/sports-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/WsxMvcc1DBKbVKvz9/builds/EVIKhgOU6w32QqJ45/openapi.json