# Ccmhockey Review Detail Extractor (`getdataforme/ccmhockey-review-detail-extractor`) Actor

Extract detailed product reviews from CCM Hockey with ease. Capture user ratings, content, and metadata accurately. Set customizable limits for tailored data collection. Export results in JSON, CSV, or Excel formats. Ideal for market research, competitive intelligence, and business automation....

- **URL**: https://apify.com/getdataforme/ccmhockey-review-detail-extractor.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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

***

## Ccmhockey Review Detail Extractor

### Introduction

The **Ccmhockey Review Detail Extractor** is a powerful tool designed to efficiently scrape and extract detailed product reviews from the CCM Hockey website. This Apify actor simplifies gathering insights into customer feedback, enabling businesses and researchers to analyze market trends and consumer preferences with ease.

### Features

- **Comprehensive Data Extraction**: Captures all relevant review details including user ratings, content, and metadata.
- **High Reliability**: Ensures accurate data retrieval with minimal errors.
- **Customizable Limits**: Allows setting a maximum number of items to scrape per run for tailored data collection.
- **User-Friendly Configuration**: Simple setup with intuitive input parameters.
- **Versatile Output Formats**: Supports exporting results in JSON, CSV, and Excel formats.

### Input Parameters

| Parameter   | Type    | Required | Description                                                                 | Example                                      |
|-------------|---------|----------|-----------------------------------------------------------------------------|----------------------------------------------|
| `Urls`      | array   | Yes      | The URLs for the spider to scrape. Must be valid HTTP/HTTPS links.          | `["https://us.ccmhockey.com/Skates/Age-Group/Intermediate/SKAS5-IN.html"]` |
| `item_limit`| integer | No       | Maximum items to scrape per actor run. Set to 0 for no limit.               | `10`                                         |

### Example Usage

#### Input JSON

```json
{
  "Urls": [
    "https://us.ccmhockey.com/Skates/Age-Group/Intermediate/SKAS5-IN.html"
  ],
  "item_limit": 10
}
```

#### Output JSON

```json
[
  {
    "review_id": 862396023,
    "product_url": "https://us.ccmhockey.com/Skates/Age-Group/Intermediate/SKAS5-IN.html",
    "product_domain_key": "SKAS5-IN",
    "user_display_name": "Hearad M.",
    "verified_buyer": true,
    "score": 5,
    "title": "Tacks ASV",
    "content": "Stiff skate, wide fit, what you'd expect for this line and price point model. Wish it came with black step steel though.",
    "created_at": "2026-06-19T19:37:41",
    "input_source_key": "start_url:https://api-cdn.yotpo.com/v3/storefront/store/E8FxidE91MvnR8ezfoLFEbLdpHsp8gtb8ZywHaLA/product/SKAS5-IN/reviews?page=1&perPage=5&sort=badge,rating,date,images",
    "actor_id": "TSDnXLjMbvbmAZQyU",
    "run_id": "Dqs3qmzXsRLICSXcm"
  },
  {
    "review_id": 831048796,
    "product_url": "https://us.ccmhockey.com/Skates/Age-Group/Intermediate/SKAS5-IN.html",
    "product_domain_key": "SKAS5-IN",
    "user_display_name": "Andrea W.",
    "verified_buyer": true,
    "score": 5,
    "title": "Awesome skate",
    "content": "Great fit, great price, quick delivery",
    "created_at": "2026-04-14T11:16:21",
    "input_source_key": "start_url:https://api-cdn.yotpo.com/v3/storefront/store/E8FxidE91MvnR8ezfoLFEbLdpHsp8gtb8ZywHaLA/product/SKAS5-IN/reviews?page=1&perPage=5&sort=badge,rating,date,images",
    "actor_id": "TSDnXLjMbvbmAZQyU",
    "run_id": "Dqs3qmzXsRLICSXcm"
  },
  {
    "review_id": 816513958,
    "product_url": "https://us.ccmhockey.com/Skates/Age-Group/Intermediate/SKAS5-IN.html",
    "product_domain_key": "SKAS5-IN",
    "user_display_name": "Isaac A.",
    "verified_buyer": true,
    "score": 5,
    "title": "Great skates for my son!",
    "content": "Was surprised by how good the deal was!! Very happy customer",
    "created_at": "2026-02-24T19:15:55",
    "input_source_key": "start_url:https://api-cdn.yotpo.com/v3/storefront/store/E8FxidE91MvnR8ezfoLFEbLdpHsp8gtb8ZywHaLA/product/SKAS5-IN/reviews?page=1&perPage=5&sort=badge,rating,date,images",
    "actor_id": "TSDnXLjMbvbmAZQyU",
    "run_id": "Dqs3qmzXsRLICSXcm"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gain insights into customer satisfaction and product performance.
- **Competitive Intelligence**: Monitor competitor reviews to identify strengths and weaknesses.
- **Price Monitoring**: Track pricing trends based on consumer feedback.
- **Content Aggregation**: Compile review data for content creation or analysis.
- **Academic Research**: Use review data for studies in consumer behavior or marketing.
- **Business Automation**: Integrate with CRM systems for automated customer insights.

### Installation and Usage

1. Search for "Ccmhockey Review Detail Extractor" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output is a JSON array containing objects with the following fields:

- `review_id`: Unique identifier for each review.
- `product_url`: URL of the product page.
- `product_domain_key`: Domain key associated with the product.
- `user_display_name`: Name of the user who wrote the review.
- `verified_buyer`: Boolean indicating if the buyer is verified.
- `score`: Rating score given by the user.
- `title`: Title of the review.
- `content`: Full text content of the review.
- `created_at`: Timestamp when the review was created.
- `input_source_key`: Source key for tracking input data.
- `actor_id`: Identifier for the actor instance.
- `run_id`: Unique identifier for the run.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: [Contact Us](https://getdataforme.com/contact/)

We're here to help you get the most out of this Actor!

# Actor input Schema

## `Urls` (type: `array`):

The urls for the spider.

## `item_limit` (type: `integer`):

Maximum items to scrape per actor run. Set to 0 for no limit.

## Actor input object example

```json
{
  "Urls": [
    "https://us.ccmhockey.com/Skates/Age-Group/Intermediate/SKAS5-IN.html"
  ],
  "item_limit": 10
}
```

# Actor output Schema

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

Scraped data items from dataset

# 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("getdataforme/ccmhockey-review-detail-extractor").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("getdataforme/ccmhockey-review-detail-extractor").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 '{}' |
apify call getdataforme/ccmhockey-review-detail-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=getdataforme/ccmhockey-review-detail-extractor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/TSDnXLjMbvbmAZQyU/builds/HqAHGCGa7T1YyievH/openapi.json
