# MSN Sports Standings Scraper (`romy/msn-sports-standings-scraper`) Actor

Unofficial wrapper around MSN's own public sports API for league standings across major leagues.

- **URL**: https://apify.com/romy/msn-sports-standings-scraper.md
- **Developed by:** [Romy](https://apify.com/romy) (community)
- **Categories:** News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.31 / 1,000 team standing returneds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## MSN Sports Standings Scraper

Unofficial wrapper around MSN's own public sports content API. Pulls current league standings/tables for major sports leagues as structured JSON — no scraping, no HTML parsing, no login required.

### What

Give this Actor one or more league ids and it returns the current standings table for each: team records, win/loss splits, points, and seeding. One dataset row per team.

### Why

Track league tables across multiple sports in one place — useful for fan dashboards, fantasy-sports tools, or betting/analytics pipelines that need structured standings data without manually checking MSN's site.

### How to use MSN Sports Standings Scraper

1. Open the Actor's Input tab.
2. Select one or more leagues from the `leagueIds` list, and optionally a season phase.
3. Click **Start**. The Actor fetches the current standings for each league and pushes one row per team to the dataset.
4. Open the Output tab, or export the dataset as JSON/CSV/Excel.

### Input

| Field | Type | Required | Description |
|---|---|---|---|
| `leagueIds` | array of strings | Yes | One or more leagues. Confirmed values: `Football_NFL`, `Basketball_NBA`, `Baseball_MLB`, `IceHockey_NHL`, `Soccer_USAMajorLeagueSoccer`, `Soccer_InternationalClubsUEFAChampionsLeague`, `Soccer_UEFAEuropaLeague`. |
| `seasonPhase` | string | No | `regularSeason` (default), `postSeason`, or `preSeason`. |

### Output

One item per team standing. MSN's own response fields are passed through largely as-is since they're richer than any fixed schema could usefully flatten — expect fields like `team` (name, alias, colors, id), `winLossHome`, `winLossAway`, `seed`, and point averages, plus a `leagueId` tag added by this Actor.

```json
{
    "leagueId": "Basketball_NBA",
    "team": { "name": { "rawName": "Oklahoma City Thunder" }, "alias": "OKC", "seed": 1 },
    "winLossHome": { "wins": 34, "losses": 7, "ties": 0 },
    "winLossAway": { "wins": 30, "losses": 10, "ties": 0 }
}
```

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

### Pricing

Pay-per-event, billed per team-standing row pushed. See the Actor's Pricing tab for current rates.

### Known limitations

- League coverage depends on MSN's own league catalog; not every league/competition worldwide is available, and league ids must match MSN's own naming exactly (see the confirmed values above).
- This is an unofficial, reverse-engineered integration, not affiliated with or endorsed by Microsoft Corporation. Behavior may change if MSN changes its API.

Found a bug or have a feature request? Use the Issues tab on this Actor's page.

# Actor input Schema

## `leagueIds` (type: `array`):

One or more leagues to fetch standings for.

## `seasonPhase` (type: `string`):

Which part of the season to get standings for.

## Actor input object example

```json
{
  "leagueIds": [
    "Basketball_NBA"
  ],
  "seasonPhase": "regularSeason"
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# 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 = {
    "leagueIds": [
        "Basketball_NBA"
    ],
    "seasonPhase": "regularSeason"
};

// Run the Actor and wait for it to finish
const run = await client.actor("romy/msn-sports-standings-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 = {
    "leagueIds": ["Basketball_NBA"],
    "seasonPhase": "regularSeason",
}

# Run the Actor and wait for it to finish
run = client.actor("romy/msn-sports-standings-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 '{
  "leagueIds": [
    "Basketball_NBA"
  ],
  "seasonPhase": "regularSeason"
}' |
apify call romy/msn-sports-standings-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,romy/msn-sports-standings-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/ukU6A2FWFFy9KdwFW/builds/SErZhCLyIYecl3ANO/openapi.json