# WNBA Stats Scraper (`muhammadafzal/wnba-stats-scraper`) Actor

Collect structured WNBA scoreboard games, teams, and rosters for sports analytics, dashboards, and AI workflows.

- **URL**: https://apify.com/muhammadafzal/wnba-stats-scraper.md
- **Developed by:** [Muhammad Afzal](https://apify.com/muhammadafzal) (community)
- **Categories:** AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 wnba record extracteds

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

## WNBA Stats Scraper

Collect structured public WNBA data from ESPN's public WNBA JSON API for sports analysts, dashboards, and AI workflows. The actor supports three modes:

- `scoreboard`: game events, scores, status, venue, and competitors
- `teams`: WNBA team directory and logos
- `roster`: players for a team, using an ESPN team abbreviation or ID

The default input collects the WNBA team directory so the prefill produces useful records year-round. For a historical scoreboard, pass `date` as `YYYY-MM-DD` and optionally `season` (for example, `2025`). For roster mode, pass `team` such as `NY` or `20`.

### Pricing

Pay per event: $0.01 per structured record written to the dataset. No result means no result event is charged. Set a maximum run cost in Apify before starting a paid run.

Each dataset record includes `recordType`, source URL, source name, and scrape timestamp. Run diagnostics and no-match warnings are written to the `SUMMARY` key-value record. This actor uses public ESPN endpoints and does not bypass authentication, paywalls, or access controls.

# Actor input Schema

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

Choose scoreboard games, the team directory, or a team roster. The default team directory returns records reliably even when there are no games today.

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

Optional scoreboard date in YYYY-MM-DD or YYYYMMDD format. Leave blank for the current scoreboard.

## `season` (type: `integer`):

Optional season year for scoreboard requests, for example 2025.

## `team` (type: `string`):

Required only for roster mode. Use an ESPN team abbreviation or ID, such as NY or 20.

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

Maximum number of records to write. Defaults to 100.

## Actor input object example

```json
{
  "mode": "teams",
  "maxResults": 100
}
```

# Actor output Schema

## `datasetItems` (type: `string`):

Structured game, team, or roster records written by the Actor.

## `summary` (type: `string`):

Run mode, record count, warnings, source URL, and timestamp.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("muhammadafzal/wnba-stats-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("muhammadafzal/wnba-stats-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 '{}' |
apify call muhammadafzal/wnba-stats-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,muhammadafzal/wnba-stats-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/BkLlXV2UluQDWuS9j/builds/MBPHFRyHwdkocJd6c/openapi.json