# Puma Scraper - Low-cost💲🔥👟🛍️ (`delectable_incubator/puma-scraper-low-cost`) Actor

🏆👟 Extract Puma product listings by category with ease. Collect product titles, IDs, prices, ratings, images, product types, colors, availability, descriptions, and product URLs. Ideal for e-commerce analytics, price monitoring, catalog management, retail intelligence, and product trend analysis💰

- **URL**: https://apify.com/delectable\_incubator/puma-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="Puma Scraper" width="100%">
</p>

---

## 👟🛍️ Puma Scraper | Bulk Puma Products Scraper | Apify Actor

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

The **Puma Scraper (Apify Actor)** is a powerful, scalable and **SEO-optimized Puma product scraping tool** designed to extract structured product data directly from Puma categories.

Whether you're performing **e-commerce research, pricing intelligence, competitor monitoring, retail analytics, AI dataset creation, inventory tracking, or product catalog enrichment**, this actor provides fast and reliable Puma product data extraction at scale.

---

### 🔥 Why This Puma Scraper?

✔ Best Puma product scraper on Apify

✔ Supports **bulk category scraping (multi-category mode)**

✔ Extract Puma shoes, clothing, accessories, kids, men & women products

✔ Fast and scalable product data extraction

✔ Structured JSON / CSV / Excel output

✔ Ideal for e-commerce intelligence

✔ Perfect for retailers, brands, analysts & agencies

✔ No coding required

---

### 🎯 What This Scraper Does

This Apify Actor extracts **real-time Puma product listings** from Puma category pages.

#### 📌 Core Features

✅ Scrape Puma products in bulk

✅ Bulk category extraction (SEO BOOST 🚀)

✅ Extract product title

✅ Extract product ID & style number

✅ Extract category information

✅ Extract color names & color codes

✅ Extract current price

✅ Extract original price

✅ Extract discount information

✅ Extract ratings & reviews

✅ Extract product availability

✅ Extract image gallery URLs

✅ Extract product page URL

✅ Automatic pagination support

✅ Clean structured datasets

✅ High-speed extraction engine

---

### ⚡ Input Configuration (Simple & Powerful)

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

````

{
"categories": \[
"Men (Shoes) 👞",
"Women (Shoes) 👠",
"Kids (Boys) 👦",
"Kids (Girls) 👧",
"Accessories 🧢",
"Clothing 👕"
],
"max\_items": 500
}

```

---

### 📊 Extracted Product Data

| Field         | Description       |
| ------------- | ----------------- |
| id            | Product ID        |
| masterId      | Master Product ID |
| productName   | Product Name      |
| category      | Product Category  |
| brand         | Brand             |
| colorName     | Color Name        |
| colorCode     | Color Code        |
| styleNumber   | Style Number      |
| currentPrice  | Current Price     |
| originalPrice | Original Price    |
| rating        | Product Rating    |
| reviewCount   | Number of Reviews |
| availability  | Stock Status      |
| imageUrls     | Product Images    |
| productUrl    | Product URL       |

---

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

This Puma scraper is ideal for:

🛍️ Puma product scraping

📊 E-commerce product intelligence

💰 Price monitoring & discount tracking

📈 Retail market analysis

🏢 Competitor product research

🤖 AI training datasets

🛒 Product catalog creation

📡 Brand monitoring

📉 Pricing trend analysis

🌎 Global retail intelligence

---

### 🚀 Key Features (PrimeScrape Optimized)

⚡ Bulk category scraping support

👟 Puma shoes scraping

👕 Puma clothing scraping

🧢 Puma accessories scraping

📌 Smart pagination system

🧠 Clean structured output

📊 High-speed extraction engine

🔁 Automatic retries

💾 Export-ready datasets

☁️ Cloud execution via Apify

---

### 📤 Output Formats Supported

✔ JSON

✔ CSV

✔ Excel XLSX

✔ XML

✔ HTML

---

### 📦 Example Output

```

{
"id": "312984\_01",
"masterId": "312984",
"productName": "MB.01234 Mash-Up Big Kids Basketball Shoes",
"category": "Kids (Boys)",
"brand": "PUMA",
"colorName": "Rickie Orange-Ravish",
"colorCode": "01",
"styleNumber": "312984\_01",
"currentPrice": 120,
"originalPrice": 120,
"rating": 0,
"reviewCount": 0,
"availability": true,
"imageUrls": \[
"https://images.puma.com/example-image.jpg"
],
"productUrl": "https://us.puma.com/us/en/pd/example"
}

````

---

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

✔ Optimized for Apify marketplace ranking

✔ Enterprise-grade scraping engine

✔ Bulk category support

✔ Structured datasets

✔ Fast extraction speed

✔ Reliable cloud execution

✔ Built for large-scale e-commerce data collection

✔ SEO optimized for marketplace visibility

---

### 💸 Pricing

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

You only pay for successfully extracted records.

💳 Price: $4.89 / 1,000 results

---

### ❓ FAQ

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

Yes. Bulk category mode is fully supported.

#### Can I scrape shoes, clothing and accessories together?

Yes. Multiple categories can be scraped in a single run.

#### Is coding required?

No. This is a fully no-code Apify Actor.

#### Can I export the data?

Yes. Export to JSON, CSV, Excel, XML and HTML.

#### Does the scraper include images?

Yes. Product image URLs are included whenever available.

#### Can I monitor Puma discounts?

Yes. Current prices and original prices are extracted when available.

---

### ⚠️ Disclaimer

This tool is not affiliated with Puma.

It is an independent data extraction solution built for research, analytics and automation purposes.

---

### 🔗 Related Actors

We are building the complete **PrimeScrape E-Commerce Intelligence Suite**.

👉 More retail, marketplace and brand scrapers coming soon.

---

### 🌍 PrimeScrape Ecosystem

Built for:

📊 Product Intelligence

🛍️ E-commerce Analytics

💰 Price Monitoring

🏢 Competitive Research

🤖 AI Training Datasets

📈 Market Intelligence

⚙️ Automation Pipelines

🌎 Large-Scale Data Collection

---

### 📬 Support

⭐⭐⭐⭐⭐ Leave a review if you enjoy using this scraper.

📩 Contact us for enterprise scraping solutions, custom automations, large-scale data collection projects, or private actor development.

# Actor input Schema

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

The categories of products to scrape (Men, Women, Kids, etc.) 👕👟. You can select multiple categories.
## `max_items` (type: `integer`):

Max products to scrape for each selected category 📊

## Actor input object example

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

# Actor output Schema

## `overview` (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/puma-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/puma-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/puma-scraper-low-cost --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Puma Scraper - Low-cost💲🔥👟🛍️",
        "description": "🏆👟 Extract Puma product listings by category with ease. Collect product titles, IDs, prices, ratings, images, product types, colors, availability, descriptions, and product URLs. Ideal for e-commerce analytics, price monitoring, catalog management, retail intelligence, and product trend analysis💰",
        "version": "0.0",
        "x-build-id": "ehUaMY9yZhMQN4ngP"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~puma-scraper-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-puma-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~puma-scraper-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-puma-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~puma-scraper-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-puma-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": "The categories of products to scrape (Men, Women, Kids, etc.) 👕👟. You can select multiple categories.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "Men (Best seller) 🚀",
                                "Men (New arrival) 🧑‍🦱",
                                "Men (Sports) 👕",
                                "Men (Shoes) 👞",
                                "Men (Clothing) 👔",
                                "Men (Accessories) 🧢",
                                "Women (Gift for Her) 👩‍🦱",
                                "Women (best Sellers) 🎨",
                                "Women (Sports) 🛍️",
                                "Women (Shoes) 👠",
                                "Women (Clothing) 👗",
                                "Women (Accessories) 👜",
                                "Kids (Girls) 👶",
                                "Kids (Boys) 👦",
                                "Kids (Sports) 🧸",
                                "Kids (Shop by Size) 👕",
                                "Kids (Best sellers) 👟",
                                "Kids (Gift for kids) 👚",
                                "Kids (New Arrivals) 🎒",
                                "Kids (Boys) Accesories 👦",
                                "Kids (Girls) Accesories 👶",
                                "Collaborations (Partnership) 👟",
                                "Gift Guide (Holiday deals) 🏀",
                                "Gift Guide (Top Gifts) 🧢",
                                "Sale (Men) 🏷️",
                                "Sale (Kids) 👶💸",
                                "Sale (Women) 👩‍🦱💰",
                                "Sale (Sports) 🛍️💸",
                                "Sale (Top Sale Styles) ⏳"
                            ]
                        },
                        "default": [
                            "Women (Shoes) 👠"
                        ]
                    },
                    "max_items": {
                        "title": "Max products to scrape per category 📊",
                        "type": "integer",
                        "description": "Max products to scrape for each selected category 📊",
                        "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```