# Puma Scraper (All-in-One) 🏆

The only 🏆 Puma scraper that retrieves detailed product metadata, including title, ID, prices 💰, rating ⭐, images 📸, product type 🌍, links 🔗, and more. Enter your desired category and set the maximum results to scrape 🌆. Perfect for product analysis, research, and comparisons 📊.

## Actor Statistics

- Total users: 6
- Monthly users: 1
- Runs succeeded: 100.00%
- Categories: E-commerce, Automation

## Pricing

$24.99/month + usage

## Input Schema

- **category** (type: string): The category of products to scrape (Men, Women, Kids, etc.) 👕👟
- **max\_items** (type: integer): Max products to scrape from the chosen category 📊

## API example

## Puma Scraper (All-in-One) 🏆

- **OpenAPI Version:** `3.1.1`
- **API Version:** `0.0`

The only 🏆 Puma scraper that retrieves detailed product metadata, including title, ID, prices 💰, rating ⭐, images 📸, product type 🌍, links 🔗, and more. Enter your desired category and set the maximum results to scrape 🌆. Perfect for product analysis, research, and comparisons 📊.

### Servers

- **URL:** `https://api.apify.com/v2`

### Operations

#### Executes an Actor, waits for its completion, and returns Actor's dataset items in response.

- **Method:** `POST`
- **Path:** `/acts/scrapestorm~puma-scraper-all-in-one/run-sync-get-dataset-items`
- **Tags:** Run Actor

##### Request Body

###### Content-Type: application/json

- **`category` (required)**

  `string`, possible values: `"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) 👠"` — The category of products to scrape (Men, Women, Kids, etc.) 👕👟

- **`max_items`**

  `integer`, default: `20` — Max products to scrape from the chosen category 📊

**Example:**

```
{
  "category": "Women (Shoes) 👠",
  "max_items": 20
}
```

##### Responses

###### Status: 200 OK

#### Executes an Actor and returns information about the initiated run in response.

- **Method:** `POST`
- **Path:** `/acts/scrapestorm~puma-scraper-all-in-one/runs`
- **Tags:** Run Actor

##### Request Body

###### Content-Type: application/json

- **`category` (required)**

  `string`, possible values: `"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) 👠"` — The category of products to scrape (Men, Women, Kids, etc.) 👕👟

- **`max_items`**

  `integer`, default: `20` — Max products to scrape from the chosen category 📊

**Example:**

```
{
  "category": "Women (Shoes) 👠",
  "max_items": 20
}
```

##### Responses

###### Status: 200 OK

\####### Content-Type: application/json

- **`data`**

  `object`

  - **`actId`**

    `string`

  - **`buildId`**

    `string`

  - **`buildNumber`**

    `string`

  - **`containerUrl`**

    `string`

  - **`defaultDatasetId`**

    `string`

  - **`defaultKeyValueStoreId`**

    `string`

  - **`defaultRequestQueueId`**

    `string`

  - **`finishedAt`**

    `string`, format: `date-time`

  - **`id`**

    `string`

  - **`meta`**

    `object`

    - **`origin`**

      `string`

    - **`userAgent`**

      `string`

  - **`options`**

    `object`

    - **`build`**

      `string`

    - **`diskMbytes`**

      `integer`

    - **`memoryMbytes`**

      `integer`

    - **`timeoutSecs`**

      `integer`

  - **`startedAt`**

    `string`, format: `date-time`

  - **`stats`**

    `object`

    - **`computeUnits`**

      `integer`

    - **`inputBodyLen`**

      `integer`

    - **`rebootCount`**

      `integer`

    - **`restartCount`**

      `integer`

    - **`resurrectCount`**

      `integer`

  - **`status`**

    `string`

  - **`usage`**

    `object`

    - **`ACTOR_COMPUTE_UNITS`**

      `integer`

    - **`DATA_TRANSFER_EXTERNAL_GBYTES`**

      `integer`

    - **`DATA_TRANSFER_INTERNAL_GBYTES`**

      `integer`

    - **`DATASET_READS`**

      `integer`

    - **`DATASET_WRITES`**

      `integer`

    - **`KEY_VALUE_STORE_LISTS`**

      `integer`

    - **`KEY_VALUE_STORE_READS`**

      `integer`

    - **`KEY_VALUE_STORE_WRITES`**

      `integer`

    - **`PROXY_RESIDENTIAL_TRANSFER_GBYTES`**

      `integer`

    - **`PROXY_SERPS`**

      `integer`

    - **`REQUEST_QUEUE_READS`**

      `integer`

    - **`REQUEST_QUEUE_WRITES`**

      `integer`

  - **`usageTotalUsd`**

    `number`

  - **`usageUsd`**

    `object`

    - **`ACTOR_COMPUTE_UNITS`**

      `integer`

    - **`DATA_TRANSFER_EXTERNAL_GBYTES`**

      `integer`

    - **`DATA_TRANSFER_INTERNAL_GBYTES`**

      `integer`

    - **`DATASET_READS`**

      `integer`

    - **`DATASET_WRITES`**

      `integer`

    - **`KEY_VALUE_STORE_LISTS`**

      `integer`

    - **`KEY_VALUE_STORE_READS`**

      `integer`

    - **`KEY_VALUE_STORE_WRITES`**

      `number`

    - **`PROXY_RESIDENTIAL_TRANSFER_GBYTES`**

      `integer`

    - **`PROXY_SERPS`**

      `integer`

    - **`REQUEST_QUEUE_READS`**

      `integer`

    - **`REQUEST_QUEUE_WRITES`**

      `integer`

  - **`userId`**

    `string`

**Example:**

```
{
  "data": {
    "id": "",
    "actId": "",
    "userId": "",
    "startedAt": "2025-01-08T00:00:00.000Z",
    "finishedAt": "2025-01-08T00:00:00.000Z",
    "status": "READY",
    "meta": {
      "origin": "API",
      "userAgent": ""
    },
    "stats": {
      "inputBodyLen": 2000,
      "rebootCount": 0,
      "restartCount": 0,
      "resurrectCount": 0,
      "computeUnits": 0
    },
    "options": {
      "build": "latest",
      "timeoutSecs": 300,
      "memoryMbytes": 1024,
      "diskMbytes": 2048
    },
    "buildId": "",
    "defaultKeyValueStoreId": "",
    "defaultDatasetId": "",
    "defaultRequestQueueId": "",
    "buildNumber": "1.0.0",
    "containerUrl": "",
    "usage": {
      "ACTOR_COMPUTE_UNITS": 0,
      "DATASET_READS": 0,
      "DATASET_WRITES": 0,
      "KEY_VALUE_STORE_READS": 0,
      "KEY_VALUE_STORE_WRITES": 1,
      "KEY_VALUE_STORE_LISTS": 0,
      "REQUEST_QUEUE_READS": 0,
      "REQUEST_QUEUE_WRITES": 0,
      "DATA_TRANSFER_INTERNAL_GBYTES": 0,
      "DATA_TRANSFER_EXTERNAL_GBYTES": 0,
      "PROXY_RESIDENTIAL_TRANSFER_GBYTES": 0,
      "PROXY_SERPS": 0
    },
    "usageTotalUsd": 0.00005,
    "usageUsd": {
      "ACTOR_COMPUTE_UNITS": 0,
      "DATASET_READS": 0,
      "DATASET_WRITES": 0,
      "KEY_VALUE_STORE_READS": 0,
      "KEY_VALUE_STORE_WRITES": 0.00005,
      "KEY_VALUE_STORE_LISTS": 0,
      "REQUEST_QUEUE_READS": 0,
      "REQUEST_QUEUE_WRITES": 0,
      "DATA_TRANSFER_INTERNAL_GBYTES": 0,
      "DATA_TRANSFER_EXTERNAL_GBYTES": 0,
      "PROXY_RESIDENTIAL_TRANSFER_GBYTES": 0,
      "PROXY_SERPS": 0
    }
  }
}
```

#### Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.

- **Method:** `POST`
- **Path:** `/acts/scrapestorm~puma-scraper-all-in-one/run-sync`
- **Tags:** Run Actor

##### Request Body

###### Content-Type: application/json

- **`category` (required)**

  `string`, possible values: `"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) 👠"` — The category of products to scrape (Men, Women, Kids, etc.) 👕👟

- **`max_items`**

  `integer`, default: `20` — Max products to scrape from the chosen category 📊

**Example:**

```
{
  "category": "Women (Shoes) 👠",
  "max_items": 20
}
```

##### Responses

###### Status: 200 OK

### Schemas

#### inputSchema

- **Type:**`object`

* **`category` (required)**

  `string`, possible values: `"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) 👠"` — The category of products to scrape (Men, Women, Kids, etc.) 👕👟

* **`max_items`**

  `integer`, default: `20` — Max products to scrape from the chosen category 📊

**Example:**

```
{
  "category": "Women (Shoes) 👠",
  "max_items": 20
}
```

#### runsResponseSchema

- **Type:**`object`

* **`data`**

  `object`

  - **`actId`**

    `string`

  - **`buildId`**

    `string`

  - **`buildNumber`**

    `string`

  - **`containerUrl`**

    `string`

  - **`defaultDatasetId`**

    `string`

  - **`defaultKeyValueStoreId`**

    `string`

  - **`defaultRequestQueueId`**

    `string`

  - **`finishedAt`**

    `string`, format: `date-time`

  - **`id`**

    `string`

  - **`meta`**

    `object`

    - **`origin`**

      `string`

    - **`userAgent`**

      `string`

  - **`options`**

    `object`

    - **`build`**

      `string`

    - **`diskMbytes`**

      `integer`

    - **`memoryMbytes`**

      `integer`

    - **`timeoutSecs`**

      `integer`

  - **`startedAt`**

    `string`, format: `date-time`

  - **`stats`**

    `object`

    - **`computeUnits`**

      `integer`

    - **`inputBodyLen`**

      `integer`

    - **`rebootCount`**

      `integer`

    - **`restartCount`**

      `integer`

    - **`resurrectCount`**

      `integer`

  - **`status`**

    `string`

  - **`usage`**

    `object`

    - **`ACTOR_COMPUTE_UNITS`**

      `integer`

    - **`DATA_TRANSFER_EXTERNAL_GBYTES`**

      `integer`

    - **`DATA_TRANSFER_INTERNAL_GBYTES`**

      `integer`

    - **`DATASET_READS`**

      `integer`

    - **`DATASET_WRITES`**

      `integer`

    - **`KEY_VALUE_STORE_LISTS`**

      `integer`

    - **`KEY_VALUE_STORE_READS`**

      `integer`

    - **`KEY_VALUE_STORE_WRITES`**

      `integer`

    - **`PROXY_RESIDENTIAL_TRANSFER_GBYTES`**

      `integer`

    - **`PROXY_SERPS`**

      `integer`

    - **`REQUEST_QUEUE_READS`**

      `integer`

    - **`REQUEST_QUEUE_WRITES`**

      `integer`

  - **`usageTotalUsd`**

    `number`

  - **`usageUsd`**

    `object`

    - **`ACTOR_COMPUTE_UNITS`**

      `integer`

    - **`DATA_TRANSFER_EXTERNAL_GBYTES`**

      `integer`

    - **`DATA_TRANSFER_INTERNAL_GBYTES`**

      `integer`

    - **`DATASET_READS`**

      `integer`

    - **`DATASET_WRITES`**

      `integer`

    - **`KEY_VALUE_STORE_LISTS`**

      `integer`

    - **`KEY_VALUE_STORE_READS`**

      `integer`

    - **`KEY_VALUE_STORE_WRITES`**

      `number`

    - **`PROXY_RESIDENTIAL_TRANSFER_GBYTES`**

      `integer`

    - **`PROXY_SERPS`**

      `integer`

    - **`REQUEST_QUEUE_READS`**

      `integer`

    - **`REQUEST_QUEUE_WRITES`**

      `integer`

  - **`userId`**

    `string`

**Example:**

```
{
  "data": {
    "id": "",
    "actId": "",
    "userId": "",
    "startedAt": "2025-01-08T00:00:00.000Z",
    "finishedAt": "2025-01-08T00:00:00.000Z",
    "status": "READY",
    "meta": {
      "origin": "API",
      "userAgent": ""
    },
    "stats": {
      "inputBodyLen": 2000,
      "rebootCount": 0,
      "restartCount": 0,
      "resurrectCount": 0,
      "computeUnits": 0
    },
    "options": {
      "build": "latest",
      "timeoutSecs": 300,
      "memoryMbytes": 1024,
      "diskMbytes": 2048
    },
    "buildId": "",
    "defaultKeyValueStoreId": "",
    "defaultDatasetId": "",
    "defaultRequestQueueId": "",
    "buildNumber": "1.0.0",
    "containerUrl": "",
    "usage": {
      "ACTOR_COMPUTE_UNITS": 0,
      "DATASET_READS": 0,
      "DATASET_WRITES": 0,
      "KEY_VALUE_STORE_READS": 0,
      "KEY_VALUE_STORE_WRITES": 1,
      "KEY_VALUE_STORE_LISTS": 0,
      "REQUEST_QUEUE_READS": 0,
      "REQUEST_QUEUE_WRITES": 0,
      "DATA_TRANSFER_INTERNAL_GBYTES": 0,
      "DATA_TRANSFER_EXTERNAL_GBYTES": 0,
      "PROXY_RESIDENTIAL_TRANSFER_GBYTES": 0,
      "PROXY_SERPS": 0
    },
    "usageTotalUsd": 0.00005,
    "usageUsd": {
      "ACTOR_COMPUTE_UNITS": 0,
      "DATASET_READS": 0,
      "DATASET_WRITES": 0,
      "KEY_VALUE_STORE_READS": 0,
      "KEY_VALUE_STORE_WRITES": 0.00005,
      "KEY_VALUE_STORE_LISTS": 0,
      "REQUEST_QUEUE_READS": 0,
      "REQUEST_QUEUE_WRITES": 0,
      "DATA_TRANSFER_INTERNAL_GBYTES": 0,
      "DATA_TRANSFER_EXTERNAL_GBYTES": 0,
      "PROXY_RESIDENTIAL_TRANSFER_GBYTES": 0,
      "PROXY_SERPS": 0
    }
  }
}
```

### Puma Scraper 💯

This scraper extracts Puma products for a specified category (Men, Women, Kids, etc.) 👕👟, including essential details like the Product's Title, Code, Type, Colors, Currency, currect price, Initial price, Discount Percentage, Product Url, Promotion StartDate & EndDate, and "Promotion Title. You can customize the search by specifying the category and maxitems of products to fetch if you want to.

Please note that, among other things, product searches can be made by:

```
* Divisions (👶 Kids, 👩 Women, 👱‍♂️ Men, ... check the category input) - These represent target audiences.
* Product Categories (🧢 Accessories, 👕 Clothing, 🥾 Shoes, ...) - Specific types of products.
```

### Why scrape Puma products 👞 ?

Access to Exclusive Product Data and Deals 🛍️💡

🕵️ Conduct market research or analysis by price, popularity, newness, etc.

Monitor Pricing Trends and Discounts in Real-Time 📉💸

Gather Insights for Market Analysis and Competitor Research 📊🔍

Automate Product Listings for E-Commerce and Retailers 🤖🛒

### How many results can you retrieve with this Puma scraper? 📊

🚨 This Puma Scraper retrieves all available products for a given search based on the specified parameters (maxitems). 👌

### How much does scraping Puma cost? 💰

This scraper uses a pay-per-month pricing model. You only pay for the successful results returned by the Puma Scraper. The cost is $24.99 per month.

### How to use this scraper 🧳

Getting Puma listings by product's category is easy! Just enter the desired category and max results to scrap, and the scraper will fetch the relevant data for you.

### Puma data input & output 📥📤

input :

```
{
    "category": "Men (Shoes) 👞",
    "maxitems": 150
}

```

The data returned by the Puma Scraper is saved in a dataset. Once the run is complete, you can download the dataset in various formats (JSON, CSV, XML, RSS, HTML Table).

```
{
        "id": "197670472982",
        "masterId": "310777",
        "name": "PUMA x LAMELO BALL MB.04 Scooby-Doo Big Kids' Basketball Shoes",
        "header": "PUMA x LAMELO BALL MB.04 Scooby-Doo",
        "subHeader": "Big Kids' Basketball Shoes",
        "price ($)": 115,
        "colorName": "Aquatic-Lime Smash-Heat Fire",
        "colorValue": "01",
        "ean": "4067979472890",
        "salePrice": 115,
        "link_product": "https://us.puma.com/us/en/pd/puma-x-lamelo-ball-mb.04-scooby-doo-big-kids'-basketball-shoes/310777?swatch=01",
        "category": "Kids (Boys)",
        "images": [
            "https://images.puma.com/image/upload/f_auto,q_auto,b_rgb:fafafa,w_2000,h_2000/global/310777/01/sv01/fnd/PNA/fmt/png/PUMA-x-LAMELO-BALL-MB.04-Scooby-Doo-Big-Kids'-Basketball-Shoes",
            "https://images.puma.com/image/upload/f_auto,q_auto,b_rgb:fafafa,w_2000,h_2000/global/310777/01/fnd/PNA/fmt/png/PUMA-x-LAMELO-BALL-MB.04-Scooby-Doo-Big-Kids'-Basketball-Shoes",
            "https://images.puma.com/image/upload/f_auto,q_auto,b_rgb:fafafa,w_2000,h_2000/global/310777/01/bv/fnd/PNA/fmt/png/PUMA-x-LAMELO-BALL-MB.04-Scooby-Doo-Big-Kids'-Basketball-Shoes",
            "https://images.puma.com/image/upload/f_auto,q_auto,b_rgb:fafafa,w_2000,h_2000/global/310777/01/sv02/fnd/PNA/fmt/png/PUMA-x-LAMELO-BALL-MB.04-Scooby-Doo-Big-Kids'-Basketball-Shoes",
            "https://images.puma.com/image/upload/f_auto,q_auto,b_rgb:fafafa,w_2000,h_2000/global/310777/01/sv03/fnd/PNA/fmt/png/PUMA-x-LAMELO-BALL-MB.04-Scooby-Doo-Big-Kids'-Basketball-Shoes",
            "https://images.puma.com/image/upload/f_auto,q_auto,b_rgb:fafafa,w_2000,h_2000/global/310777/01/sv04/fnd/PNA/fmt/png/PUMA-x-LAMELO-BALL-MB.04-Scooby-Doo-Big-Kids'-Basketball-Shoes"
        ],
        "badges": [
            "Best Seller"
        ],
         "promotions": [
            {
                "id": "BTC30CALLOUT",
                "calloutMessage": "30% OFF WITH CODE: TIMEFLIES",
                "__typename": "ProductPromotion"
            }
        ],
        "rating": "5"
    }

```

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- [Zillow (Find a Property Managers) 🏢👨‍💼👩‍💼](https://apify.com/scrapestorm/zillow-find-a-property-managers)
- [Zillow (Find a Home Improvement Agent) 🛠️)](https://apify.com/scrapestorm/zillow-find-a-home-improvement-agent)
- [Zillow (Find a Home Inspector Agent) 🔍](https://apify.com/scrapestorm/zillow-find-a-home-inspector-agent)
- [Youtube Channel Scraper](https://apify.com/scrapestorm/youtube-channel-scraper)
- [Facebook Followers & Following Scraper 📊👥- Rental](https://apify.com/scrapestorm/facebook-followers-following-scraper)
- [Facebook Comments Scraper (All-in-One) 💬](https://apify.com/scrapestorm/facebook-comments-scraper-all-in-one)
- [Facebook Comments Scraper (All-in-One) 💬 - Pay Per Results](https://apify.com/scrapestorm/facebook-comments-scraper-all-in-one---pay-per-results)
- [Youtube Shorts Scraper 📺 (Rental) - Fast & cheap](https://apify.com/scrapestorm/youtube-shorts-scraper-rental---fast-cheap)
- [YouTube Transcript Video Scraper 📝 (⚡ Fast & 💸 Cheap)](https://apify.com/scrapestorm/youtube-transcript-videos)
- [Youtube Playlist Scraper 🎵 - Rental (Fast & cheap)](https://apify.com/scrapestorm/youtube-playlist-scraper---rental-fast-cheap)

***

📷 If any attribut is not displayed, it means it is not available.

### 📫 Support

🌍 We plan to add a Puma Scraper actor with the ability to select the country (US, UK, Japan, France, Spain, Canada, etc.). Depending on the selected country, the price results and currencies will be adjusted automatically to reflect local differences. If you need this, don't hesitate to contact us.

For any questions or issues, please reach out through Apify's platform or via email - [Storm\_Scraper 🌪️🌩️](https://apify.com/scrapestorm)
