# Nike Scraper (`datascrapers/nike-scraper`) Actor

Scrapes Nike.com product listings from search queries or category URLs, with optional product details and reviews.

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

## Pricing

from $0.97 / 1,000 product scrapeds

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

**Nike Scraper** creates a structured dataset of product records collected from [Nike.com](https://www.nike.com). Each dataset item represents one product and can include the title, product and style codes, current and initial price, discount percentage, color, image, URL, marketplace and language, and — when enabled — size availability and rating summary in a nested `details` object and customer reviews in a nested `reviews` array. Query the source using search keywords or category URLs, filter by marketplace and language, control the result limit with `maxItems`, and retrieve records through the Apify Dataset API or export them as JSON, CSV, or Excel.

### Dataset at a glance

| Property | Value |
|---|---|
| Source | nike.com |
| Record unit | One product listing |
| Input methods | Search keywords, category/product URLs |
| Main identifiers | `styleCode`, `productCode` |
| Delivery | Apify Dataset and API |
| Export formats | JSON, CSV, Excel |
| Update model | Fresh records per Actor run |
| Pricing | Pay per event, from $1.00 per 1,000 products |

### Coverage and available records

The Actor collects products from two source types:

- **Search results** — products returned for `searchQueries`.
- **Category/product pages** — products on Nike category (`/w/`) or product (`/t/`) URLs.

Supported behavior:

- **Marketplace and language** — `marketplace` selects one of 21 Nike country storefronts (DE, US, GB, FR, and more), with `language` selecting the store language.
- **Facet filters** — `filters` accepts `attributeId` values discovered in the `available-filters` key-value store record written on the first listing page.
- **Optional product details** (`includeProductDetails`) fetches size availability and rating summaries.
- **Optional reviews** (`includeReviews`) embeds customer reviews on each product row.

`details`, `reviews`, and the rating summary fields are conditional on the corresponding option.

### Data dictionary

| Field | Type | Nullable | Description | Example |
|---|---:|---|---|---|
| `recordType` | string | No | Record type (`product`) | `product` |
| `productCode` | string | Yes | Nike product code | `FV4143-100` |
| `styleCode` | string | Yes | Nike style code | `FV4143` |
| `globalProductId` | string | Yes | Global product identifier | `...` |
| `title` | string | No | Product title | `Nike Air Zoom` |
| `subtitle` | string | Yes | Short description | `Men's Shoes` |
| `productType` | string | Yes | Product type | `Shoes` |
| `productSubType` | string | Yes | Product subtype | `Volleyball` |
| `colorLabel` | string | Yes | Color name | `White` |
| `colorHex` | string | Yes | Color hex code | `#ffffff` |
| `currentPrice` | number | Yes | Current price | `129.99` |
| `initialPrice` | number | Yes | Original price | `139.99` |
| `discountPercentage` | number | Yes | Discount percent | `7` |
| `currency` | string | Yes | Price currency | `EUR` |
| `imageUrl` | string | Yes | Product image | `https://static.nike.com/...` |
| `url` | string | Yes | Product URL | `https://www.nike.com/de/t/...` |
| `badgeLabel` | string | Yes | Badge text | `Just In` |
| `featuredAttributes` | array | Yes | Attribute labels | `["Sustainable Materials"]` |
| `marketplace` | string | No | Country code | `DE` |
| `language` | string | No | Language code | `de` |
| `seed` | string | No | Source query or URL | `volleyball` |
| `reviewCount` | integer | Yes | Review count | `45` |
| `sizeCount` | integer | Yes | Number of sizes | `12` |
| `availableSizeCount` | integer | Yes | In-stock sizes | `9` |
| `averageOverallRating` | number | Yes | Overall rating | `4.6` |
| `details` | object | Yes | Nested details (details enabled) | `{...}` |
| `reviews` | array | Yes | Nested reviews (reviews enabled) | `[{...}]` |

Use `styleCode` (fallback `productCode`) as the stable field for deduplication.

### Example dataset record

```json
{
  "recordType": "product",
  "productCode": "FV4143-100",
  "styleCode": "FV4143",
  "title": "Nike Air Zoom",
  "subtitle": "Men's Shoes",
  "productType": "Shoes",
  "colorLabel": "White",
  "colorHex": "#ffffff",
  "currentPrice": 129.99,
  "initialPrice": 139.99,
  "discountPercentage": 7,
  "currency": "EUR",
  "imageUrl": "https://static.nike.com/a/images/t_PDP_864_v1/f_auto,q_auto:eco/example.jpg",
  "url": "https://www.nike.com/de/t/air-zoom/FV4143-100",
  "badgeLabel": "Just In",
  "marketplace": "DE",
  "language": "de",
  "seed": "volleyball"
}
```

This record was produced by a `volleyball` search on the `DE` marketplace with details and reviews disabled.

### Query and input reference

| Input | Type | Required | Default | Accepted values | Description |
|---|---:|---|---|---|---|
| `searchQueries` | array | No¹ | `["volleyball"]` | Any strings | Nike search terms. |
| `startUrls` | array | No¹ | — | Category (`/w/`) or product (`/t/`) URLs | Nike URLs to start from. |
| `filters` | array | No | `[]` | `{attributeId, label}` objects | Facet filters from the `available-filters` record. |
| `marketplace` | string | No | `DE` | DE, US, GB, FR, and 17 more | Nike country storefront. |
| `language` | string | No | `de` | de, en, fr, es, and more | Store language. |
| `includeProductDetails` | boolean | No | `false` | `true` / `false` | Fetch size availability and rating summary (billed as `product-details`). |
| `includeReviews` | boolean | No | `false` | `true` / `false` | Fetch reviews (billed as `review`). |
| `maxReviewsPerProduct` | integer | No | `0` | `0` = all | Cap reviews per product when enabled. |
| `detailConcurrency` | integer | No | `10` | 1–50 | Parallel workers for details/reviews. |
| `maxItems` | integer | No | `0` | `0` = unlimited | Maximum product records. |
| `proxyConfiguration` | object | No | Apify residential | Proxy editor | Proxy settings. |

¹ At least one of `searchQueries` or `startUrls` must contain a value.

Minimal request:

```json
{ "searchQueries": ["volleyball"], "marketplace": "DE", "maxItems": 20 }
```

Advanced request (details and reviews enabled):

```json
{
  "searchQueries": ["volleyball"],
  "marketplace": "DE",
  "language": "de",
  "includeProductDetails": true,
  "includeReviews": true,
  "maxReviewsPerProduct": 10,
  "maxItems": 50,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
```

### Retrieve the data through the API

1. Start the Actor with a JSON input.
2. Wait for the run to finish, or use the synchronous endpoint for small jobs.
3. Retrieve items from the run's default dataset.
4. Paginate or export the dataset.

Python example:

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("datascrapers/nike-scraper").call(
    run_input={"searchQueries": ["volleyball"], "marketplace": "DE", "maxItems": 50}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item.get("currentPrice"))
```

For other languages, use the generated API tab on the Actor page.

### Data quality and record handling

- **Completeness** — listing fields (`title`, `styleCode`, `currentPrice`) are returned when Nike exposes them; `details` and `reviews` are conditional on the corresponding option.
- **Source changes** — Nike page structure changes can cause individual fields to come back empty; rows are still written with the fields that were found.
- **Deduplication** — the Actor writes one row per product per run and does not persist dedup state across runs. Deduplicate on `styleCode` (fallback `productCode`) when merging runs.
- **Retry/error behavior** — detail and review enrichment fails soft so a failed enrichment call does not discard the listing row.
- **Normalization** — `currentPrice` is numeric with a separate `currency` code; `discountPercentage` is derived from `currentPrice` and `initialPrice`.

### Export and pipeline examples

| Destination | Recommended method | Typical use |
|---|---|---|
| PostgreSQL/Supabase | Dataset API or webhook consumer | Product and pricing tables |
| Google Sheets | Apify integration | Assortment and discount sheets |
| S3/cloud storage | Scheduled export or integration | Archive catalog snapshots |

### Pricing and cost examples

Billing is pay per event. You are not charged Apify platform usage on top of these events.

| Event | When charged | Price |
|---|---|---|
| `product` | Each product row written | $1.00 per 1,000 |
| `product-details` | Each product with details fetched (when enabled) | $1.50 per 1,000 |
| `review` | Each review collected (when enabled) | $1.50 per 1,000 |

| Records | Estimated base cost |
|---:|---:|
| 1,000 products | $1.00 |
| 10,000 products | $10.00 |

Estimates assume listings only. Details and reviews add events at their listed rates, and Apify plan discounts may reduce the per-event price.

### Limitations and responsible data use

- The Actor reads publicly accessible Nike.com listing data.
- Availability and source changes can produce empty or partial fields.
- No guarantee of historical snapshots unless you store results yourself.
- You are responsible for compliance with applicable terms, privacy, and legal requirements when using the data.

### Dataset questions

#### What does one dataset item represent?

One Nike product listing. Size availability and reviews are nested on the same row rather than written as separate items.

#### Which field should I use as a unique identifier?

`styleCode` is the stable Nike style identifier; use `productCode` (style-color) as a fallback.

#### Are fields nullable or conditional?

Many fields (`subtitle`, `badgeLabel`, `initialPrice`) are null when Nike does not return them. `details` and `reviews` are present only when the matching option is enabled.

#### Can I retrieve the records as CSV or JSON?

Yes. Export from the Output tab as JSON, CSV, or Excel, or read the dataset through the Apify API.

#### How do I paginate large datasets?

Use `maxItems` to cap product records. For API retrieval, paginate the default dataset items endpoint.

#### Does the Actor return historical data?

No. Each run captures the current state of the listings at run time.

#### What counts as a billable result?

Each product row is a `product` event. When enabled, each detail fetch is a `product-details` event and each review is a `review` event.

### Related datasets from Data Scrapers

- **[Zalando Product Scraper](https://apify.com/datascrapers/zalando-scraper)** — Fashion catalog data that can be joined with Nike for cross-brand analysis.
- **[IKEA Product Scraper](https://apify.com/datascrapers/ikea-scraper)** — Retail product data for broader assortment research.
- **[Amazon Search Scraper](https://apify.com/datascrapers/amazon-scraper)** — Marketplace product data for cross-channel pricing.

### Data Scrapers support

Need an additional field, record type, or export workflow? Contact Data Scrapers at stardustspotlight@gmail.com. Include a sample source URL, required fields, expected record volume, and preferred delivery format.

# Actor input Schema

## `searchQueries` (type: `array`):

Nike search terms to scrape (e.g. volleyball, air max). Use either searchQueries or startUrls.

## `startUrls` (type: `array`):

Nike category (/w/) or product (/t/) URLs. Use either searchQueries or startUrls.

## `filters` (type: `array`):

Nike facet filters to apply. Each item needs an attributeId from the available-filters key-value store record written on the first listing page. Example: {"attributeId": "0f64ecc7-d624-4e91-b171-b83a03dd8550", "label": "Herren"}.

## `marketplace` (type: `string`):

Nike marketplace country code

## `language` (type: `string`):

Nike language code for the selected marketplace

## `includeProductDetails` (type: `boolean`):

Fetch size availability and rating summary per product. Charged as product-extra events.

## `includeReviews` (type: `boolean`):

Fetch individual product reviews. Charged as review events (one per review).

## `maxReviewsPerProduct` (type: `integer`):

Maximum reviews to fetch per product when includeReviews is enabled (0 = all reviews).

## `detailConcurrency` (type: `integer`):

Number of parallel workers for product details and reviews (proxy rotates per request).

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

Maximum number of product listing records to scrape (0 = unlimited). Does not cap optional details/reviews for products already discovered.

## `proxyConfiguration` (type: `object`):

Proxy settings for anti-bot protection

## Actor input object example

```json
{
  "searchQueries": [
    "volleyball"
  ],
  "startUrls": [
    {
      "url": "https://www.nike.com/de/w/herren-schuhe-nik1zy7ok"
    }
  ],
  "filters": [],
  "marketplace": "DE",
  "language": "de",
  "includeProductDetails": false,
  "includeReviews": false,
  "maxReviewsPerProduct": 0,
  "detailConcurrency": 10,
  "maxItems": 0,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Scraped Nike products, details, and reviews

## `runStats` (type: `string`):

Aggregate scrape statistics for this run

## `availableFilters` (type: `string`):

Facet filters discovered on the first listing page

# 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 = {
    "searchQueries": [
        "volleyball"
    ],
    "startUrls": [
        {
            "url": "https://www.nike.com/de/w/herren-schuhe-nik1zy7ok"
        }
    ],
    "filters": [],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("datascrapers/nike-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 = {
    "searchQueries": ["volleyball"],
    "startUrls": [{ "url": "https://www.nike.com/de/w/herren-schuhe-nik1zy7ok" }],
    "filters": [],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("datascrapers/nike-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 '{
  "searchQueries": [
    "volleyball"
  ],
  "startUrls": [
    {
      "url": "https://www.nike.com/de/w/herren-schuhe-nik1zy7ok"
    }
  ],
  "filters": [],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call datascrapers/nike-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datascrapers/nike-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/pM4bAPW6UDwNEBgEr/builds/f0QkwRZrAN0qorIvC/openapi.json