# NHL Hockey Stats Scraper - Standings, Scores & Schedule (`ninhothedev/nhl-stats-scraper`) Actor

$0.08/1K 🔥 Fast NHL hockey scraper! Standings, schedule & live scores from the official NHL API. No key. JSON, CSV, Excel or API in seconds. Pull thousands of data points for apps, betting & fantasy ⚡

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

## Pricing

from $0.08 / 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/actors/running/actors-in-store.md#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

## NHL Hockey Stats Scraper 🏒

Scrape **live NHL standings, scores and the daily schedule** straight from the official NHL public JSON API — no API key, no login, no browser. Fast, datacenter-friendly, and returns clean structured JSON ready for sports apps, betting models, fantasy tools and analytics dashboards.

> Powered by `api-web.nhle.com` — the same data that feeds NHL.com. This actor flattens the nested, localized API into a tidy dataset you can pipe anywhere.

***

### ✨ What you get

| Mode | Endpoint | Records |
|------|----------|---------|
| `standings` | League standings, all 32 teams | 1 row per team |
| `schedule` | Today's games / scoreboard | 1 row per game |

Every record is a flat JSON object with snake\_case keys and a `scraped_at` UTC timestamp.

#### Standings output

```json
{
  "type": "standing",
  "team": "Colorado Avalanche",
  "abbrev": "COL",
  "conference": "Western",
  "division": "Central",
  "games_played": 82,
  "wins": 55,
  "losses": 16,
  "ot_losses": 11,
  "points": 121,
  "point_pct": 0.737805,
  "goals_for": 302,
  "goals_against": 203,
  "scraped_at": "2026-07-16T12:00:00+00:00"
}
```

#### Schedule / scores output

```json
{
  "type": "game",
  "id": 2026020001,
  "date": "2026-09-29",
  "state": "FINAL",
  "home_team": "Hurricanes",
  "home_score": 4,
  "away_team": "Panthers",
  "away_score": 2,
  "scraped_at": "2026-07-16T12:00:00+00:00"
}
```

> **Off-season note:** in `schedule` mode, if the NHL is between seasons or no games are scheduled today, the API returns no completed games. The actor fails loudly with a clear message so scheduled runs don't silently succeed with empty data.

***

### 🔧 Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `mode` | select (`standings` / `schedule`) | `standings` | What to scrape |
| `maxItems` | integer (1–2000) | `500` | Cap on records pushed to the dataset |

Example:

```json
{ "mode": "standings", "maxItems": 500 }
```

***

### 💸 Pricing

Roughly **~$1 per 1,000 runs** on Apify's pay-per-result / compute model. A single standings pull is one lightweight HTTP request returning 32 teams — cheap enough to poll on a schedule (e.g. after every game night) without watching the meter.

### 🎯 Use cases

- **Sports apps** — power live standings tables and score tickers.
- **Betting & odds models** — feed goals-for/against, point pace and win rates into predictive models.
- **Fantasy hockey** — track team form, streaks and matchups.
- **Stats & analytics** — build historical datasets by scheduling daily snapshots.

### ⚖️ Comparison

| | This actor | Manual NHL.com scraping | Paid stats APIs |
|--|-----------|-------------------------|-----------------|
| API key | ❌ none | ❌ none | ✅ required |
| Structured JSON | ✅ | ❌ HTML parsing | ✅ |
| Cost | ~$1 / 1k | free but fragile | $$$/month |
| Maintenance | ✅ handled | ❌ breaks on redesign | ✅ |

### 🔗 Related actors

- [MLB Stats Scraper](https://apify.com/ninhothedev/mlb-stats-scraper)
- [ESPN Sports Scraper](https://apify.com/ninhothedev/espn-sports-scraper)
- [F1 Scraper](https://apify.com/ninhothedev/f1-scraper)
- [Sports Scraper](https://apify.com/ninhothedev/sports-scraper)

**Keywords:** NHL scraper, hockey stats, NHL standings API, NHL scores, hockey schedule, sports data, betting data, fantasy hockey, NHL API no key, ice hockey statistics.

# Actor input Schema

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

What to scrape: 'standings' returns the full current league standings (all 32 teams with wins, losses, points and goals). 'schedule' returns the current day's games / scoreboard.

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

Maximum number of records to push to the dataset. Standings mode caps at 32 teams; schedule mode depends on the number of games. Range 1-2000.

## Actor input object example

```json
{
  "mode": "standings",
  "maxItems": 500
}
```

# Actor output Schema

## `results` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("ninhothedev/nhl-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("ninhothedev/nhl-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 ninhothedev/nhl-stats-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ninhothedev/nhl-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/HjnyjJkGum7QZkdcV/builds/C1rQ7aeHilfIgyOEX/openapi.json