# Scrape All Adidas USA Reviews

**Use case:** 

Scrape ALL reviews for ALL products from adidas.com. Collect review titles, text, ratings, badges, demographics, submission dates, media, and more.

## Input

```json
{
  "mode": "reviews",
  "country": "united-states",
  "searchUrls": [
    {
      "url": "https://www.adidas.com/us/men?grid=true"
    },
    {
      "url": "https://www.adidas.com/us/women?grid=true"
    },
    {
      "url": "https://www.adidas.com/us/kids"
    }
  ],
  "maxProducts": 0,
  "maxProductsPerSearch": 0,
  "maxReviews": 0,
  "maxReviewsPerProduct": 0,
  "reviewsSort": "newest",
  "scrapeReviewsFromAllLanguages": true
}
```

## Output

```json
{
  "scrapedAt": {
    "label": "Scraped At",
    "format": "string"
  },
  "dataType": {
    "label": "Data Type",
    "format": "string"
  },
  "productId": {
    "label": "Product ID",
    "format": "string"
  },
  "reviewId": {
    "label": "Review ID",
    "format": "string"
  },
  "reviewUserNickname": {
    "label": "Review User Nickname",
    "format": "string"
  },
  "reviewRating": {
    "label": "Review Rating",
    "format": "integer"
  },
  "reviewRatingRange": {
    "label": "Review Rating Range",
    "format": "integer"
  },
  "reviewTitle": {
    "label": "Review Title",
    "format": "string"
  },
  "reviewText": {
    "label": "Review Text",
    "format": "string"
  },
  "reviewSubmissionTime": {
    "label": "Review Submission Time",
    "format": "string"
  },
  "reviewLikes": {
    "label": "Review Likes",
    "format": "integer"
  },
  "reviewDislikes": {
    "label": "Review Dislikes",
    "format": "integer"
  },
  "reviewProductColor": {
    "label": "Review Product Color",
    "format": "string"
  },
  "userRecommendsProduct": {
    "label": "User Recommends Product",
    "format": "boolean"
  },
  "questionsAnsweredFromReview": {
    "label": "Questions Answered from Review",
    "format": "array"
  },
  "reviewImages": {
    "label": "Review Images",
    "format": "array"
  },
  "reviewBadges": {
    "label": "Review Badges",
    "format": "array"
  },
  "reviewLocale": {
    "label": "Review Locale",
    "format": "string"
  },
  "productName": {
    "label": "Product Name",
    "format": "string"
  },
  "productUrl": {
    "label": "Product URL",
    "format": "string"
  },
  "productModelNumber": {
    "label": "Product Model Number",
    "format": "string"
  },
  "productDescription": {
    "label": "Product Description",
    "format": "string"
  },
  "productPrice": {
    "label": "Product Price",
    "format": "number"
  },
  "productOriginalPrice": {
    "label": "Product Original Price",
    "format": "number"
  },
  "productDiscountPercentage": {
    "label": "Product Discount (%)",
    "format": "number"
  },
  "productPriceCurrency": {
    "label": "Product Price Currency",
    "format": "string"
  },
  "productAvailability": {
    "label": "Product Availability",
    "format": "integer"
  },
  "productAvailabilityStatus": {
    "label": "Product Availability Status",
    "format": "string"
  },
  "productPurchaseLimit": {
    "label": "Product Purchase Limit",
    "format": "integer"
  },
  "productRating": {
    "label": "Product Rating",
    "format": "number"
  },
  "productReviewCount": {
    "label": "Product Review Count",
    "format": "integer"
  },
  "productThirdPartyOptions": {
    "label": "Product 3rd Party Options",
    "format": "array"
  },
  "productSentiments": {
    "label": "Product Sentiments",
    "format": "array"
  },
  "productBadges": {
    "label": "Product Badges",
    "format": "array"
  },
  "productColor": {
    "label": "Product Color",
    "format": "string"
  },
  "productCategory": {
    "label": "Product Category",
    "format": "string"
  },
  "productCategorySlug": {
    "label": "Product Category Slug",
    "format": "string"
  },
  "productGender": {
    "label": "Product Gender",
    "format": "string"
  },
  "productTotalColors": {
    "label": "Product Total Colors",
    "format": "integer"
  },
  "productVariants": {
    "label": "Product Variants",
    "format": "array"
  },
  "productImages": {
    "label": "Product Images",
    "format": "array"
  },
  "productVideos": {
    "label": "Product Videos",
    "format": "array"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Adidas Product & Reviews Scraper Actor is ready to run with the inputs already set for "Scrape All Adidas USA Reviews". [Sign up or log in](https://console.apify.com/create-task-from-example/L3evU9ngFeffW4vH7) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Scrape All Adidas USA Reviews" task

The Adidas Product & Reviews Scraper Actor will start running based on the input automatically. You can also change all the input fields, like scraping mode, 🌍 country, and more, to match your specific use case.

### 3. Receive the "Scrape All Adidas USA Reviews" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as scraped at, data type, product id, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Scrape All Adidas USA Reviews" task via API](https://apify.com/coding-doctor-omar/adidas-scraper.md).

## FAQ

### What data does this task return from Adidas reviews?

The Scrape All Adidas USA Reviews task returns review titles, text, ratings, badges, demographics, submission dates, media, and more.

### What is the review submission time format?

The review submission time is provided as a timestamp in UTC timezone.

### What does the review rating range indicate?

The review rating range indicates the maximum possible rating, which is currently 5 on Adidas.

### Does this task scrape reviews from multiple languages?

The task scrapes reviews from all languages available on adidas.com.

### Can I automate this task to run regularly?

This task can be scheduled to run automatically in the Apify Console.

### What unique identifiers are included for each review?

Each review has a unique review ID and is linked to a product using the product ID.

### What does the field 'user recommends product' signify?

The 'user recommends product' field indicates whether the reviewer recommends the specific product.

## About this Actor

This example demonstrates how to use [Adidas Product & Reviews Scraper](https://apify.com/coding-doctor-omar/adidas-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/coding-doctor-omar/adidas-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/coding-doctor-omar/adidas-scraper.md

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`).