# Nike Scraper - Low-cost💲🔥👟🛒 (`delectable_incubator/nike-scraper-low-cost`) Actor

🏆 Extract Nike product listings by category with ease. Collect product titles, IDs, prices, discount percentages, product types, images, colors, availability, and product URLs. Ideal for e-commerce analytics, price tracking, catalog research, retail intelligence & product trend analysis 👟📊💰

- **URL**: https://apify.com/delectable\_incubator/nike-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** E-commerce, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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

<p align="center">
<img src="https://i.ibb.co/jkNS73wX/readme.png" alt="Nike Scraper" width="100%">
</p>

---

## 👟🏆 Nike Scraper | Bulk Nike Product Scraper | Apify Actor

### 🚀 Extract Nike Product Data in Seconds (No Code)

The **Nike Scraper (Apify Actor)** is a powerful, scalable and **SEO-optimized Nike product data extraction tool** designed to collect product listings directly from Nike categories.

Scrape Nike products in bulk, extract structured product information, pricing, promotions, discounts, images, and URLs for **e-commerce intelligence, price monitoring, competitor analysis, retail analytics, AI datasets, and market research**.

---

### 🔥 Why This Nike Scraper?

✔ Best Nike scraper on Apify

✔ Supports **bulk category scraping**

✔ Extract Nike shoes, clothing, accessories & more

✔ Fast & scalable product extraction

✔ 100% structured JSON / CSV / Excel output

✔ Monitor prices, discounts & promotions

✔ Perfect for retailers, brands & analysts

✔ No coding required

---

### 🎯 What This Scraper Does (Nike Product Data Extraction)

This Apify Actor extracts **real-time product listings from Nike categories and collections**.

#### 📌 Core Features

✅ Scrape Nike products

✅ Bulk category scraping (SEO BOOST 🚀)

✅ Extract product title & subtitle

✅ Extract product codes (SKU)

✅ Extract product type & subtype

✅ Extract current price & original price

✅ Extract discount percentages

✅ Extract promotion titles & campaign data

✅ Extract product images

✅ Extract color variations

✅ Extract product URLs

✅ Auto pagination handling

✅ Clean structured dataset output

✅ High-speed extraction engine

---

### ⚡ Input Configuration (Simple & Powerful)

#### 🔥 BULK CATEGORY MODE (SEO BOOST 🚀)

````

{
"categories": \[
"Men (Shoes)",
"Women (Shoes)",
"Kids",
"Men (Clothing)",
"Women (Clothing)",
"Accessories"
],
"max\_items": 500
}

```

---

### 📊 Extracted Product Data (Structured Output)

| Field              | Description           |
| ------------------ | --------------------- |
| category           | Nike category         |
| productCode        | Product SKU           |
| productType        | Product type          |
| productSubType     | Product subtype       |
| title              | Product title         |
| subTitle           | Product subtitle      |
| currency           | Currency              |
| currentPrice       | Current selling price |
| initialPrice       | Original price        |
| employeePrice      | Employee price        |
| discountPercentage | Discount percentage   |
| colorDescription   | Product colors        |
| imageUrl           | Product image         |
| productUrl         | Product page URL      |
| badgeLabel         | Product badge         |
| promotionId        | Promotion identifier  |
| promotionTitle     | Promotion title       |
| promotionStartDate | Promotion start date  |
| promotionEndDate   | Promotion end date    |

---

### 💡 Use Cases (High Demand SEO Keywords)

This Nike scraper is used for:

👟 Nike product scraping

🛒 E-commerce product monitoring

📊 Retail analytics

💸 Nike price tracking

🏷️ Promotion monitoring

📈 Competitor intelligence

🤖 AI training datasets

🛍️ Product catalog generation

📡 Market research

⚡ Bulk product extraction

---

### 🚀 Key Features (Apify SEO Optimized)

⚡ Bulk category scraping support

🏷️ Product pricing & discount monitoring

📌 Smart pagination system

🧠 Clean structured output

📊 High-speed extraction engine

🔁 Auto retry & stability system

💾 Export-ready datasets

⚙️ Scalable cloud execution (Apify Actor)

---

### 📤 Output Formats Supported

✔ JSON (structured API ready)

✔ CSV (Excel analysis)

✔ Excel XLSX (business reports)

✔ XML (data pipelines)

✔ HTML (dashboards)

---

### 📦 Example Output

```

{
"category": "Men (Clothing)",
"productCode": "FV8909-104",
"productType": "APPAREL",
"productSubType": "STANDARD",
"title": "Nike ACG Lunar Lake PrimaLoft",
"subTitle": "Men's Therma-FIT ADV Loose Hooded Jacket",
"currency": "USD",
"currentPrice": 350,
"initialPrice": 350,
"discountPercentage": 0,
"colorDescription": "Light Orewood Brown",
"imageUrl": "https://static.nike.com/image.png",
"productUrl": "https://www.nike.com/product",
"badgeLabel": "Sustainable Materials",
"promotionTitle": "See Price in Bag",
"promotionStartDate": "2024-10-15",
"promotionEndDate": "2026-01-01"
}

````

---

### 🔥 Why This is the BEST Nike Scraper on Apify?

✔ Optimized for Apify search ranking

✔ High-performance Nike extraction engine

✔ Bulk category support

✔ Product pricing & promotion tracking

✔ Clean structured dataset output

✔ Enterprise-ready scalability

✔ Perfect for SEO traffic & marketplace visibility

---

### 💸 Pricing

This scraper runs on a **pay-per-result pricing model**.

You only pay for successfully extracted records.

💳 **Price:** $0.98 / 1,000 results

---

### ❓ FAQ (SEO BOOST SECTION)

#### Can I scrape multiple Nike categories at once?

Yes — bulk category mode is fully supported.

#### Can I extract Nike prices and discounts?

Yes — current price, original price and discount information are included.

#### Can I scrape Nike shoes and apparel?

Yes — shoes, clothing, accessories, kids products and more.

#### Is coding required?

No — 100% no-code Apify Actor.

#### Can I export data?

Yes — JSON, CSV, Excel, XML and HTML supported.

---

### ⚠️ Disclaimer

This tool is not affiliated with Nike. It is an independent data extraction solution.

---

### 🔗 Related Actors (Retail & E-commerce Ecosystem)

We are building a full **PrimeScrape Retail Intelligence Suite**.

👉 Coming Soon 🚀

---

### 🌍 PrimeScrape Ecosystem

Built for **data scraping, automation, AI training datasets, retail intelligence and market analytics at scale**.

📊 Product data extraction

🛒 E-commerce intelligence

🏷️ Promotion monitoring

📈 Market analytics

🤖 AI datasets

⚙️ Automation pipelines

---

### 📬 Support

⭐⭐⭐⭐⭐ Leave a review if you like this scraper

📩 Contact us for custom scraping solutions, enterprise integrations and advanced retail intelligence projects.

# Actor input Schema

## `categories` (type: `array`):

One or more categories of products to scrape (Men, Women, Kids, etc.) 👕👟. Each category is scraped separately.
## `max_items` (type: `integer`):

Max products to scrape from each chosen category (it may exceed slightly) 📊

## Actor input object example

```json
{
  "categories": [
    "Women (Shoes) 👠"
  ],
  "max_items": 100
}
````

# 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 = {
    "categories": [
        "Women (Shoes) 👠"
    ],
    "max_items": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/nike-scraper-low-cost").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 = {
    "categories": ["Women (Shoes) 👠"],
    "max_items": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/nike-scraper-low-cost").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 '{
  "categories": [
    "Women (Shoes) 👠"
  ],
  "max_items": 100
}' |
apify call delectable_incubator/nike-scraper-low-cost --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=delectable_incubator/nike-scraper-low-cost",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Nike Scraper - Low-cost💲🔥👟🛒",
        "description": "🏆 Extract Nike product listings by category with ease. Collect product titles, IDs, prices, discount percentages, product types, images, colors, availability, and product URLs. Ideal for e-commerce analytics, price tracking, catalog research, retail intelligence & product trend analysis 👟📊💰",
        "version": "0.0",
        "x-build-id": "I4mFeb4bcZNP4raCL"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~nike-scraper-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-nike-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~nike-scraper-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-nike-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~nike-scraper-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-nike-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "categories"
                ],
                "properties": {
                    "categories": {
                        "title": "Selected Categories",
                        "type": "array",
                        "description": "One or more categories of products to scrape (Men, Women, Kids, etc.) 👕👟. Each category is scraped separately.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "New (Limited Time) 🕒",
                                "New (Shop classics) 👟",
                                "New 🚀",
                                "Men (Limited Time) 🧑‍🦱",
                                "Men (New) 👔",
                                "Men (Shoes) 👞",
                                "Men (Clothing) 👕",
                                "Men (Accessories) 🧢",
                                "Women (Limited Time) 👩‍🦱",
                                "Women (Shop by color) 🎨",
                                "Women (New) 🛍️",
                                "Women (Shoes) 👠",
                                "Women (Clothing) 👗",
                                "Women (Accessories) 👜",
                                "Kids (Limited Time) 👶",
                                "Kids (Shop by Age) 👦",
                                "Kids (New) 🧸",
                                "Kids (Clothing by Age) 👕",
                                "Kids (All Shoes) 👟",
                                "Kids (All Clothing) 👚",
                                "Kids (Accessories) 🎒",
                                "Jordan (Men) 🏀",
                                "Jordan (New) 🏀",
                                "Jordan (Women) 👟",
                                "Jordan (Kids) 👶🏀",
                                "Jordan (Accessories) 🧢",
                                "Sale (Men shoes) 💸",
                                "Sale (Men clothing) 👕💰",
                                "Sale (Men Accessories) 🧢💵",
                                "Sale (Men All shop) 🏷️",
                                "Sale (Kids) 👶💸",
                                "Sale (Women) 👩‍🦱💰",
                                "Sale (All sale) 🛍️💸",
                                "Sale (Limited Time) ⏳"
                            ]
                        },
                        "default": [
                            "Women (Shoes) 👠"
                        ]
                    },
                    "max_items": {
                        "title": "Max products to scrape per category (it may exceed slightly) 📊",
                        "type": "integer",
                        "description": "Max products to scrape from each chosen category (it may exceed slightly) 📊",
                        "default": 100
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```