# Nike Product Scraper (`apiguruu/nike-product-scraper`) Actor

use this actor to scrape nike products pages for shoes and clothes

- **URL**: https://apify.com/apiguruu/nike-product-scraper.md
- **Developed by:** [apiguru](https://apify.com/apiguruu) (community)
- **Categories:** E-commerce, Social media, Automation
- **Stats:** 79 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $5.00 / 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/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 Product Scraper (Apify Actor)

For more features you can also visit this api : https://rapidapi.com/matepapava123/api/nike-api

This Apify Actor scrapes detailed product information from **Nike product pages** — including both standard `/t/` pages and Nike By You `/u/` pages.\
It extracts pricing, images, sizes, descriptions, sustainability info, and more, directly from the product’s HTML and embedded JSON data.

***

### 🚀 Features

- Scrapes multiple Nike URLs in one run
- Detects both `/t/` (standard) and `/u/` (Nike By You) page types
- Extracts structured product details:
  - Title, subtitle, description
  - Current & original prices with currency
  - Color, style code, badge, and sustainability info
  - All available sizes and availability status
  - Product images and videos
  - Product features, benefits, and details sections
- Outputs everything in a clean, structured Apify dataset view

***

### 🧩 Input Schema

The Actor accepts an array of product URLs to scrape:

````json
{
  "start_urls": [
    { "url": "https://www.nike.com/t/air-force-1-07-shoe-..." },
    { "url": "https://www.nike.com/u/custom-nike-by-you-..." }
  ]
}



# Actor input Schema

## `start_urls` (type: `array`):

List of Nike product or category URLs to scrape.
## `max_depth` (type: `integer`):

Depth for recursive link following. Set 0 for single product scrape, 1+ to follow internal links (like related products).

## Actor input object example

```json
{
  "start_urls": [
    {
      "url": "https://www.nike.com/t/air-jordan-12-retro-taxi-mens-shoes-9rPt0x/CT8013-117"
    },
    {
      "url": "https://www.nike.com/t/tech-mens-full-zip-fleece-windrunner-jacket-with-reflective-accents-FdtRBYxk/IM6537-355"
    }
  ],
  "max_depth": 0
}
````

# Actor output Schema

## `detailed` (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 = {
    "start_urls": [
        {
            "url": "https://www.nike.com/t/air-jordan-12-retro-taxi-mens-shoes-9rPt0x/CT8013-117"
        },
        {
            "url": "https://www.nike.com/t/tech-mens-full-zip-fleece-windrunner-jacket-with-reflective-accents-FdtRBYxk/IM6537-355"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("apiguruu/nike-product-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 = { "start_urls": [
        { "url": "https://www.nike.com/t/air-jordan-12-retro-taxi-mens-shoes-9rPt0x/CT8013-117" },
        { "url": "https://www.nike.com/t/tech-mens-full-zip-fleece-windrunner-jacket-with-reflective-accents-FdtRBYxk/IM6537-355" },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("apiguruu/nike-product-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 '{
  "start_urls": [
    {
      "url": "https://www.nike.com/t/air-jordan-12-retro-taxi-mens-shoes-9rPt0x/CT8013-117"
    },
    {
      "url": "https://www.nike.com/t/tech-mens-full-zip-fleece-windrunner-jacket-with-reflective-accents-FdtRBYxk/IM6537-355"
    }
  ]
}' |
apify call apiguruu/nike-product-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,apiguruu/nike-product-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/eXb9e9bWUw9LkfzZa/builds/9hFhAQsOXr5dvCeIM/openapi.json