# Extract Nike basketball shoe customer reviews

**Use case:** 

Pull **Nike basketball shoe** listings from **Nike.com US** with **customer
reviews embedded** on each product row. Each record includes title, price, URL,
and a `reviews` list with rating, text, username, date, and fit/comfort
dimensions. Runs with `searchQueries: ["basketball shoes"]`, `includeReviews:
true`, and up to 100 products. **$1/1,000 products** and **$1.50/1,000 reviews**.

## Input

```json
{
  "searchQueries": [
    "basketball shoes"
  ],
  "startUrls": [
    {
      "url": "https://www.nike.com/de/w/herren-schuhe-nik1zy7ok"
    }
  ],
  "filters": [],
  "marketplace": "US",
  "language": "en",
  "includeProductDetails": false,
  "includeReviews": true,
  "maxReviewsPerProduct": 25,
  "detailConcurrency": 10,
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "styleCode": {
    "label": "Style Code",
    "format": "string"
  },
  "productCode": {
    "label": "Product Code",
    "format": "string"
  },
  "title": {
    "label": "Product Title",
    "format": "string"
  },
  "reviews.title": {
    "label": "Review Title",
    "format": "text"
  },
  "reviews.text": {
    "label": "Review Text",
    "format": "text"
  },
  "reviews.rating": {
    "label": "Rating",
    "format": "number"
  },
  "reviews.username": {
    "label": "Username",
    "format": "text"
  },
  "reviews.dateCreated": {
    "label": "Date",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Nike Scraper](https://apify.com/rigelbytes/nike-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/rigelbytes/nike-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/rigelbytes/nike-scraper.md

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`).