Nike Scraper

Extract Nike.com product listings, optional size availability and ratings, and customer reviews from search queries or category URLs — with one row per product and reviews embedded as a list. Pay only for what you scrape, from $1 per 1,000 products (plus optional details and reviews). No hidden fees or limits on usage.

What can Nike Scraper do for you?

• Build product catalogs from Nike search terms or category pages across 20+ marketplaces
• Monitor prices and discounts with current price, initial price, and discount percentage per SKU
• Track size availability when product details are enabled — sizes, GTINs, and stock levels in one object
• Collect customer reviews embedded on each product row — title, text, rating, username, and fit/comfort dimensions
• Apply Nike filters using facet attributeId values discovered on the first listing page
• Export to JSON, CSV, Excel, or API for dashboards, BI tools, and automated pipelines

What data can you extract from Nike.com?

Field	Description
🏷️ title / subtitle	Product name and short description
🔢 productCode / styleCode	Nike style-color and style identifiers
💰 currentPrice / initialPrice	Live price and original price in local currency
🎨 colorLabel / colorHex	Color name and hex code
🖼️ imageUrl / url	Product image and canonical Nike.com URL
🏷️ badgeLabel / featuredAttributes	Badges such as "Just In" or sustainable materials
📦 details	Optional object with sizes, availability, GTINs, and rating summaries
⭐ reviews	Optional list of reviews with rating, text, username, date, and dimensions
🌍 marketplace / language / seed	Country store, locale, and source query or URL

Why use this Nike scraper?

• 📊 Competitive research — compare Nike pricing, badges, and assortment across categories
• 🛒 E-commerce intelligence — feed product and review data into pricing and merchandising tools
• 📈 Review analytics — analyze fit, comfort, and recommendation scores without manual copy-paste
• 🤖 Automation — schedule daily or weekly runs and trigger webhooks when new products appear
• 🌐 Multi-market coverage — scrape Germany, US, UK, France, and 15+ other Nike storefronts

Pricing

This Actor uses pay-per-event pricing. You are not charged for Apify platform usage on top of these events.

Event	What counts	Price (no discount)
Product scraped	One product listing row pushed to the dataset	$1.00 / 1,000
Product Details	One product with size availability and rating summary fetched	$1.50 / 1,000
Review	One individual review embedded in a product's reviews list	$1.50 / 1,000

Apify plan discounts apply automatically:

Event	Bronze	Silver	Gold
Product scraped	$0.99 / 1,000	$0.98 / 1,000	$0.97 / 1,000
Product Details	$1.40 / 1,000	$1.30 / 1,000	$1.20 / 1,000
Review	$1.40 / 1,000	$1.30 / 1,000	$1.20 / 1,000

No hidden fees or limits on usage. Enable only the enrichment you need — listings alone cost just $1 per 1,000 products.

How to use Nike Scraper

1. Create a free Apify account at apify.com
2. Open Nike Scraper on Apify Store
3. Enter search queries or Nike category URLs, pick marketplace and language, and toggle details/reviews if needed
4. Click Start and wait for the run to finish
5. Download results from the Output tab as JSON, CSV, Excel, or via the Apify API

Input

Field	Type	Required	Description
searchQueries	array of strings	Either this or startUrls	Nike search terms (e.g. volleyball, air max)
startUrls	array of URLs	Either this or searchQueries	Nike category (/w/) or product (/t/) URLs
filters	array of objects	Optional	Nike facet filters with attributeId from the available-filters key-value store
marketplace	string	Optional (default: DE)	Nike country code — DE, US, GB, FR, and 17 more
language	string	Optional (default: de)	Store language code
includeProductDetails	boolean	Optional (default: false)	Fetch size availability and rating summary per product
includeReviews	boolean	Optional (default: false)	Fetch customer reviews and embed them on each product row
maxReviewsPerProduct	integer	Optional (default: 0)	Cap reviews per product (0 = all available)
detailConcurrency	integer	Optional (default: 10)	Parallel workers for details and reviews (proxy rotates per request)
maxItems	integer	Optional (default: 0)	Maximum products to scrape (0 = unlimited)
proxyConfiguration	object	Optional	Proxy settings; residential Apify Proxy recommended

📝 Copy for Use:

{
  "searchQueries": ["volleyball"],
  "maxItems": 5,
  "includeProductDetails": true,
  "includeReviews": true,
  "maxReviewsPerProduct": 10,
  "detailConcurrency": 10,
  "marketplace": "DE",
  "language": "de",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Why Choose This Scraper?

• Affordable: Pay only for what you scrape — $1/1,000 products, $1.50/1,000 product details, and $1.50/1,000 reviews
• Comprehensive: Listings, size availability, rating summaries, and full review text in one dataset row per product
• Easy to Use: Start from a search term or paste a Nike category URL — no coding required
• Reliable: Residential proxy rotation, retries, and fail-soft enrichment so listing data still returns when a detail call fails

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• Exclusive Deals: Some providers may offer special discounts or bonuses when you use our link.
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• No Extra Cost: You pay the same price, but part of it goes to supporting our efforts.

Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

API Examples

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")

run = client.actor("rigelbytes/nike-scraper").call(run_input={
    "searchQueries": ["volleyball"],
    "maxItems": 50,
    "includeProductDetails": True,
    "includeReviews": True,
    "maxReviewsPerProduct": 10,
    "marketplace": "DE",
    "language": "de",
    "proxyConfiguration": {"useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"]},
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item.get("reviewCount", 0), "reviews")

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_API_TOKEN' });

const run = await client.actor('rigelbytes/nike-scraper').call({
    searchQueries: ['volleyball'],
    maxItems: 50,
    includeProductDetails: true,
    includeReviews: true,
    maxReviewsPerProduct: 10,
    marketplace: 'DE',
    language: 'de',
    proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ['RESIDENTIAL'] },
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0].title, items[0].reviewCount, 'reviews');

cURL

curl -X POST "https://api.apify.com/v2/acts/rigelbytes~nike-scraper/runs?token=YOUR_APIFY_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchQueries": ["volleyball"],
    "maxItems": 50,
    "includeProductDetails": true,
    "includeReviews": true,
    "maxReviewsPerProduct": 10,
    "marketplace": "DE",
    "language": "de",
    "proxyConfiguration": {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}
  }'

Scheduling & Deduplication

Scheduling

Use the Scheduler tab in Apify Console to run Nike Scraper on a recurring basis:

• Daily — track price changes and new arrivals in a category
• Weekly — refresh review sentiment and size availability for a product line
• Per search query — create separate scheduled tasks for each searchQueries term to keep datasets organized

You can also trigger runs via the Apify API and attach webhooks to push finished datasets into Google Sheets, Slack, or your own pipeline.

Deduplication

Each run produces one dataset row per product. Products are keyed by productCode and styleCode. To deduplicate across runs, merge datasets by productCode:

seen = set()
unique = []
for item in items:
    key = item.get("productCode")
    if key and key not in seen:
        seen.add(key)
        unique.append(item)

Use maxItems to cap how many products are discovered per run. The available-filters key-value store record is refreshed on each run's first listing page so you can build filter presets for scheduled jobs.

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• SEEK Australia Jobs Scraper — Scrape SEEK Australia job listings by keyword, location, or URL. Optionally enrich each job with full details,...
• Skool Community Scraper — Scrape Skool communities from discovery search and category filters. Extract listing data plus optional about-page...
• Target.com Product Scraper — Scrape Target.com products from search queries or URLs. Optionally enrich with product details and customer reviews.
• The Movie Database (TMDB) Scraper — Scrape movies, TV shows, people, and awards from themoviedb.org with the same list filters as the website — genres,...
• TripAdvisor Reviews Scraper — Scrape reviews from TripAdvisor hotel pages using GraphQL API with DataDome protection bypass.
• Trustpilot Reviews Scraper — Collect reviews and ratings from Trustpilot for reputation monitoring and customer insights.
• Trustpilot Company Scraper — Collect reviews and ratings from Trustpilot for reputation monitoring and customer insights.
• TrustRadius Scraper — Scrape TrustRadius companies, product details, and reviews from search queries, categories, or product URLs.
• Yelp Scraper — Scrape Yelp business listings by search term, category, location, or URL. Optional full business details with phone,...

🍔 Food & Delivery

Extract restaurant, grocery, and delivery platform data.

• Carrefour Product Scraper — Scrape Carrefour grocery products across UAE, Saudi Arabia, Qatar, Pakistan, and Georgia by search query, category,...
• Instacart Scraper — Scrape menus, stores, and delivery data from Instacart for data-driven research and automation.
• Lidl Product Scraper — Scrape Lidl supermarket products across Europe by search query or category/product URL. Optionally enrich each item...
• OpenTable Scraper — Scrape OpenTable restaurants by search query (with date/time/party size) or start URLs. Optional listing details and...
• Publix Scraper — Scrape menus, stores, and delivery data from Publix for data-driven research and automation.

📰 News & Media

Scrape news, articles, and media content for research.

• BizBuySell Scraper — Scrape BizBuySell business-for-sale listings via search URLs or structured filters, with optional full listing details.
• SEC IPO Event Intelligence — Monitors SEC EDGAR for IPO filings and converts them into structured business events, with optional AI company...
• SEC Filings Scraper — Retrieve clean, normalized SEC EDGAR filing data by ticker, CIK, or company name — with document links, optional...

🛠️ Developer Tools

General-purpose scraping and automation tools.

• EU Tenders Scraper — Scrape EU public procurement notices from TED (Tenders Electronic Daily) with advanced search filters,...
• Web Crawler — This web crawler is designed to provide users with complete flexibility by allowing them to use their **own...
• Zapier Apps Scraper — Scrape Zapier’s app directory by category, subcategory, sort (popularity, premium, beta, recently launched), or URL....

🔧 Other

Additional scraping tools by Rigel Bytes.

• Adidas Product Scraper — Scrape Adidas product listings and optional product details from any supported Adidas country storefront. Supports...
• Bilibili Scraper — Scrape Bilibili videos, categories, search results, and creator spaces. Extract titles, stats, tags, and optional...
• Google Ads Transparency Scraper — Scrape ads from the Google Ads Transparency Center by domain, advertiser, or keyword. Filter by region, time period,...
• Leboncoin Listing Scraper — Scrape Leboncoin listings from a search URL or filters. Extracts title, price, location, seller, images, attributes,...
• Open Construction Estimate Scraper — Scrape construction cost estimates from OpenConstructionEstimate. Export the full catalog, filter by...
• Red Note Scraper — Scrape Red Note (Xiaohongshu) posts from home-feed categories or URLs. Optionally attach creator profiles and top...

Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

Why Use Proxies?

• Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
• Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
• Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

Types of Proxies

1. Residential Proxies
   • Real IP addresses provided by ISPs to home users.
   • They mimic regular users, making them harder to detect.
   • Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   • IP addresses from servers in data centers.
   • Faster and cheaper than residential proxies but easier to detect and block.
   • Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   • IPs provided by mobile carriers (3G/4G/5G networks).
   • Very difficult to detect, as they appear as regular mobile users.
   • Best for: Mobile-related scraping or avoiding sophisticated blocks.

Rotating Proxies vs. Straight Proxies

• Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
• Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

FAQs & Troubleshooting

Q: What counts as one "product scraped" event?

Each product listing row pushed to the dataset counts as one product event. Optional product-details and review events are charged separately only when those features are enabled.

Q: Why are reviews embedded in the product row instead of separate rows?

Each product includes a reviews array on the same record, so you get one row per SKU with all review text, ratings, and usernames in a list. This makes exports and analysis simpler — no joining required.

Q: How do I apply Nike filters?

Run the Actor once with your search or category URL. Open the Key-Value Store tab and find the available-filters record. Copy attributeId values into the filters input array for your next run.

Q: Why is details null for some products?

Detail and review enrichment runs asynchronously with fail-soft behavior. If a single Nike API call fails (often due to proxy or rate limits), the product listing is still saved and details may be null. Re-run with residential proxies or lower detailConcurrency.

Q: Which proxy should I use?

Nike.com works best with residential proxies matching your target marketplace country. The default input uses Apify Residential Proxy. See the proxy providers section below for alternatives.

Q: Can I scrape a single product URL?

Yes — paste a Nike product URL (/t/...) into startUrls. Enable includeProductDetails and includeReviews to get sizes and customer feedback on that SKU.

About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

Contact Us

• 📧 Email: contact@rigelbytes.com
• 📅 Book a call: Schedule an appointment

Detailed Data

[
  {
    "title": "Nike Pro Sculpt",
    "productCode": "FV7033-010",
    "styleCode": "FV7033",
    "currentPrice": 42.99,
    "currency": "EUR",
    "url": "https://www.nike.com/de/t/pro-sculpt-bike-shorts-ca-8-cm-mit-hohem-taillenbund-damen-eXtTcbgY/FV7033-010",
    "details": null,
    "reviewCount": 10,
    "reviews": [
      {
        "reviewId": 427321,
        "title": "Tolle Shorts, wie immer",
        "text": "Einfach großartiges Tragegefühl, ich liebe den Bund.",
        "rating": 5,
        "username": "SophieK184449951",
        "dateCreated": "07.01.2025",
        "dimensions": [
          {"label": "Wie ist die Passform dieses Produkts?", "value": "Passt genau"},
          {"label": "Wie bequem war dieses Produkt?", "value": "Sehr bequem"}
        ]
      }
    ]
  },
  {
    "title": "Nike Pro Sculpt",
    "productCode": "FV7382-010",
    "styleCode": "FV7382",
    "currentPrice": 64.99,
    "currency": "EUR",
    "reviewCount": 8,
    "details": {
      "sizeCount": 14,
      "availableSizeCount": 14,
      "averageOverallRating": 4.7,
      "totalReviews": 128,
      "sizes": [
        {"localizedLabel": "M (EU 40-42)", "label": "M", "isAvailable": true, "shipLevel": "HIGH"}
      ]
    },
    "reviews": [
      {
        "reviewId": 411377,
        "title": "Top Passform",
        "text": "Top Passform, schönes Material!",
        "rating": 5,
        "username": "Muecke64",
        "dateCreated": "03.12.2024"
      }
    ]
  }
]

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.