# Sports Data Scraper — Teams, Players & Fixtures (`ponderable_hydrometer/sportsdb-scraper`) Actor

Sports data from TheSportsDB — search teams and players, list league teams, and get fixtures and results across football, basketball, NFL and more. Free test key or bring your own.

- **URL**: https://apify.com/ponderable\_hydrometer/sportsdb-scraper.md
- **Developed by:** [Ponderable Hydrometer](https://apify.com/ponderable_hydrometer) (community)
- **Categories:** Developer tools, Automation, SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 results

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 Data Scraper — Teams, Players & Fixtures

**Team profiles, player profiles and fixtures/results across football, basketball, NFL, baseball and more — in one actor, six modes.** From TheSportsDB. Free public test key, or bring your own for full rate.

Search teams and players, list a whole league's teams, or pull fixtures — a day's events, or a team's next/last matches — all normalized into clean, consistent rows.

### What you get

**Teams** (`type: "team"`) — `id`, `name`, `league`, `sport`, `formedYear`, `stadium`, `location`, `country`, `website`, `description`, `badge`

**Players** (`type: "player"`) — `id`, `name`, `team`, `sport`, `position`, `nationality`, `birthDate`, `birthLocation`, `height`, `weight`, `thumb`

**Events** (`type: "event"`) — `id`, `event`, `league`, `sport`, `season`, `date`, `time`, `homeTeam`, `awayTeam`, `homeScore`, `awayScore`, `venue`, `status`

### Output sample

```json
{
  "type": "team",
  "id": "133604",
  "name": "Arsenal",
  "league": "English Premier League",
  "sport": "Soccer",
  "formedYear": "1886",
  "stadium": "Emirates Stadium",
  "location": "London, England",
  "country": "England",
  "website": "www.arsenal.com",
  "description": "Arsenal Football Club is a professional football club…",
  "badge": "https://www.thesportsdb.com/images/media/team/badge/….png"
}
```

### Modes

- **search-team** — search teams by name (`teams`).
- **search-player** — search players by name (`players`).
- **league-teams** — every team in a league (`league`).
- **events-day** — all fixtures on a `date`, optionally filtered by `sport`.
- **team-next** / **team-last** — a team's upcoming or most recent matches (`teamIds`).

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `mode` | string | `search-team` | One of the six modes above |
| `teams` | array | `["Arsenal"]` | Team names (search-team) |
| `players` | array | — | Player names (search-player) |
| `league` | string | — | League name (league-teams) |
| `teamIds` | array | — | TheSportsDB team IDs (team-next/team-last) |
| `date` | string | — | `YYYY-MM-DD` (events-day) |
| `sport` | string | — | Optional sport filter (events-day) |
| `apiKey` | string (secret) | `3` (test key) | Your TheSportsDB key |
| `maxResults` | integer | `100` | Cap for list modes |

### Example input

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

Fixtures on a date:

```json
{ "mode": "events-day", "date": "2026-08-01", "sport": "Soccer" }
```

### Why this actor

- **Six modes, one shape** — teams, players and fixtures normalized consistently.
- **Multi-sport** — football/soccer, basketball, NFL, baseball and more.
- **Media included** — team badges and player thumbnails for app UIs.
- Works with the **free test key** out of the box; add your own for full rate.

### Pricing

Pay per result — **$1.50 per 1,000 results** (one team/player/event = one result). No subscription or platform fees.

### Related actors

- **TVMaze Scraper** — TV schedules, episodes and cast.
- **App Store Scraper** — mobile app catalogs and rankings.
- **Steam Scraper** — game catalog and pricing.

### Notes & limits

- Data is TheSportsDB's API. The default public test key `"3"` is rate-limited — **add your own free key** (kept secret) for full throughput and premium endpoints.
- Field completeness varies by team/player/sport (some profiles are sparse).
- This actor is an independent tool, not affiliated with or endorsed by TheSportsDB.

# Actor input Schema

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

What to fetch: search-team, search-player, league-teams, events-day (fixtures on a date), team-next, team-last.

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

Team names to search, e.g. \["Arsenal","Real Madrid"].

## `players` (type: `array`):

Player names to search, e.g. \["Harry Kane","LeBron James"].

## `league` (type: `string`):

League name, e.g. "English Premier League", "NBA".

## `teamIds` (type: `array`):

TheSportsDB team IDs, e.g. \["133604" (Arsenal)]. Get IDs from search-team.

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

Date for fixtures, YYYY-MM-DD, e.g. "2026-08-01".

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

Optional sport filter for events-day, e.g. "Soccer", "Basketball", "American Football".

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

Your TheSportsDB key. Leave empty to use the free public test key "3" (limited). Kept secret.

## `maxResults` (type: `integer`):

Cap for list modes (league-teams / events-day).

## Actor input object example

```json
{
  "mode": "search-team",
  "teams": [
    "Arsenal"
  ],
  "maxResults": 100
}
```

# 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"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ponderable_hydrometer/sportsdb-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"] }

# Run the Actor and wait for it to finish
run = client.actor("ponderable_hydrometer/sportsdb-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 '{
  "teams": [
    "Arsenal"
  ]
}' |
apify call ponderable_hydrometer/sportsdb-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/vmyrCK8JBHrafpFq6/builds/pcv84npx3AyQWTsqK/openapi.json