Nike Reviews Scraper

Introduction

The Nike Reviews Scraper is designed to efficiently extract customer reviews from Nike product pages. This Actor provides valuable insights into consumer opinions, helping businesses and researchers understand market trends and product performance.

Features

• Efficient Data Extraction: Quickly gathers reviews from specified Nike product URLs.
• Comprehensive Review Details: Captures detailed review information including ratings, comments, and reviewer profiles.
• Customizable Crawling: Allows configuration of start URLs and maximum requests for tailored data collection.
• Proxy Support: Utilizes Apify's residential proxies to ensure anonymity and avoid IP blocking.
• Reliable Performance: Built on Apify's robust infrastructure for consistent and dependable data scraping.
• Structured Output: Delivers data in a well-organized JSON format for easy analysis and integration.
• Scalable Solution: Handles large volumes of data efficiently, suitable for extensive market research.

Input Parameters

Parameter	Type	Required	Description	Example
startUrls	Array	Yes	URLs to start with.	["https://www.nike.com/t/lebron-xxiii-masked-menace-basketball-shoes-1EPyFJde/IH1513-004"]
maxItems	Integer	No	Maximum number of requests that can be made by this crawler.	100
proxyConfiguration	Object	No	Specifies proxy servers that will be used by the scraper to hide its origin.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

Example Input JSON

{
  "startUrls": [
    {
      "url": "https://www.nike.com/t/lebron-xxiii-masked-menace-basketball-shoes-1EPyFJde/IH1513-004"
    }
  ],
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Example Output JSON

[
  {
    "review_id": "1675829",
    "product_id": "IH1513",
    "catalog_item_id": 179728,
    "sku": "IH1513",
    "reviewer_name": "tamarcus h",
    "reviewer_nickname": "tamarcush53128218",
    "reviewer_location": "US",
    "date_posted": "Apr 28, 2026",
    "date_posted_millis": 1777373377000,
    "rating": 1,
    "title": "Fits but squeaks",
    "review_text": "Love the shoes when i first got it. They fit my feet perfectly but as i wore them through the day became very comfortable and they squeak when i walked in them. Super disappointed",
    "recommended": false,
    "incentivized": false,
    "locale": "en_US",
    "up_votes": 0,
    "down_votes": 0,
    "dimensions": {
      "How did this product fit?": "True to Size",
      "How comfortable was this product?": "Uncomfortable",
      "Would you recommend this product?": "No"
    },
    "profile_attributes": {
      "Size you normally wear": "13.5 or over",
      "Where do you usually play basketball?": "Not applicable"
    },
    "photos": [],
    "videos": [],
    "scraped_at": "2026-04-29T07:15:22.124Z"
  }
]

Use Cases

• Market Research and Analysis: Understand consumer preferences and product performance.
• Competitive Intelligence: Monitor competitor products and customer feedback.
• Price Monitoring: Track pricing trends and customer sentiment.
• Content Aggregation: Collect reviews for content creation and analysis.
• Academic Research: Study consumer behavior and market dynamics.
• Business Automation: Automate data collection for strategic decision-making.

Installation and Usage

1. Search for "Nike Reviews Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The output is structured in JSON format, including fields such as review_id, product_id, reviewer_name, rating, review_text, and more. This format ensures easy integration and analysis of the data.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact

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