Nike Scraper

Nike Scraper collects product listings from Nike.com and turns them into structured data for competitive research, e-commerce intelligence, and review analytics. Provide search queries or category URLs across 20+ marketplaces, then export titles, style codes, prices, discounts, colors, and images — with optional size availability, rating summaries, and customer reviews — to JSON, CSV, Excel, or your integration. Use it to monitor pricing, compare assortment, and analyze fit and comfort feedback. Pricing starts at $1.00 per 1,000 products, with optional details and reviews billed separately.

What can you automate with Nike Scraper?

• Build product catalogs — from search terms or category URLs across 20+ Nike marketplaces.
• Monitor prices and discounts — capture current price, initial price, and discount percentage per SKU.
• Track size availability — enable product details for sizes, GTINs, and stock levels in one object.
• Collect customer reviews — attach title, text, rating, username, and fit/comfort dimensions to each product.
• Apply Nike facet filters — use attributeId values discovered on the first listing page.
• Export structured data — feed pricing and merchandising tools, dashboards, and automated pipelines.

Who is this scraper for?

Team	Workflow
Competitive intelligence teams	Comparing Nike pricing, badges, and assortment across categories.
E-commerce and merchandising teams	Feeding product and review data into pricing and merchandising tools.
Market researchers	Analyzing product lines and pricing across multiple country stores.
Review analysts	Aggregating fit, comfort, and recommendation feedback at scale.

What data can you collect from Nike.com?

Data group	Example fields	How it helps
Product identity	title, subtitle, productCode, styleCode, url	Identify and deduplicate records with the stable styleCode.
Pricing	currentPrice, initialPrice, discountPercentage, currency	Track live price and markdowns.
Color and media	colorLabel, colorHex, colorDescription, imageUrl	Preview product and colorway.
Badges	badgeLabel, featuredAttributes	Spot "Just In" or sustainable-material flags.
Availability	details with sizes, GTINs, availableSizeCount, rating summaries	Enrich records when product details are enabled.
Reviews	reviews list with rating, text, username, date, and dimensions	Analyze feedback when reviews are enabled.
Provenance	marketplace, language, seed	Trace the country store and source query or URL.

The details object and reviews list appear only when Include Product Details and Include Reviews are enabled respectively. Listing-level data is always returned.

How to use Nike Scraper

1. Open the Nike Scraper on Apify.
2. Enter searchQueries and/or Nike category (/w/) or product (/t/) URLs in startUrls.
3. Choose a marketplace and language, and optionally add filters.
4. Optionally enable Include Product Details and Include Reviews, and cap reviews with maxReviewsPerProduct.
5. Run the Actor and export the dataset to JSON, CSV, or Excel, or connect it to your workflow.

{
    "searchQueries": ["volleyball"],
    "marketplace": "DE",
    "language": "de",
    "includeProductDetails": true,
    "includeReviews": true,
    "maxReviewsPerProduct": 10,
    "maxItems": 20,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Example workflow

Monitor a product line's pricing across marketplaces

1. Schedule a daily or weekly run with your searchQueries and a fixed marketplace.
2. Compare currentPrice, initialPrice, and discountPercentage over time for each styleCode.
3. Enable Include Product Details periodically to capture size availability and GTINs.
4. Deduplicate on styleCode, then push changes to your pricing dashboard.

Automate and integrate your results

• Schedules — set daily or weekly runs per query and marketplace for price and assortment monitoring.
• Webhooks — trigger a webhook on run completion to push fresh products into your CRM, Google Sheets, or pricing tool.
• Exports and API — download JSON, CSV, or Excel from the Console, or call the Actor from the API. One cURL example:

curl "https://api.apify.com/v2/acts/scraptivo/nike-scraper/runs?token=YOUR-APIFY-TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchQueries": ["volleyball"],
    "marketplace": "DE",
    "language": "de",
    "maxItems": 10,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
  }'

• Deduplication — use the stable styleCode (or productCode) as the key when merging results across runs.

Input reference

Field	Type	Required	Default	What it controls
searchQueries	Array of strings	No*	—	Nike search terms (e.g. "volleyball", "air max").
startUrls	Array of URLs	No*	—	Nike category (/w/) or product (/t/) URLs.
filters	Array of objects	No	—	Nike facet filters using attributeId from the available-filters key-value store record.
marketplace	String	No	DE	Nike country code (DE, US, GB, FR, and 17 more).
language	String	No	de	Store language code for the selected marketplace.
includeProductDetails	Boolean	No	false	Fetch size availability and rating summary per product. Charged as product-details.
includeReviews	Boolean	No	false	Fetch individual reviews. Charged as review per review.
maxReviewsPerProduct	Integer	No	0	Maximum reviews per product when reviews are enabled (0 = all).
detailConcurrency	Integer	No	10	Parallel workers for details and reviews (1–50).
maxItems	Integer	No	0	Maximum product records (0 = unlimited).
proxyConfiguration	Proxy object	No	Residential Apify proxy	Proxy settings. Residential proxies are used by default.

* Provide at least one searchQueries entry or startUrls entry.

Output example

Each dataset item is one product. With details and reviews enabled, a record looks like this:

{
    "title": "Nike Volleyball Hoodie",
    "subtitle": "Men's Fleece Pullover",
    "productCode": "DV1234-010",
    "styleCode": "DV1234-010",
    "colorLabel": "Black",
    "colorHex": "#111111",
    "currency": "EUR",
    "currentPrice": 69.99,
    "initialPrice": 99.99,
    "discountPercentage": 30,
    "imageUrl": "https://static.nike.com/example.jpg",
    "url": "https://www.nike.com/de/t/volleyball-hoodie-DV1234-010",
    "badgeLabel": "Just In",
    "featuredAttributes": ["Sustainable Materials"],
    "marketplace": "DE",
    "language": "de",
    "seed": "volleyball",
    "reviewCount": 128,
    "details": {
        "sizes": ["S", "M", "L", "XL"],
        "gtinAvailability": [{ "size": "M", "gtin": "19600000000000" }]
    },
    "reviews": [
        { "title": "Great fit", "rating": 5, "text": "True to size and comfortable.", "username": "runner42", "dateCreated": "2026-08-01" }
    ]
}

How much does it cost to scrape Nike.com?

The Actor uses pay-per-event pricing. Platform usage is not charged separately:

Event	Price (per 1,000)
product — each product listing row	$1.00
product-details — each product with size availability and rating summary	$1.50
review — each individual review embedded in a product	$1.50

Apify plan discounts apply automatically. For the product event: Bronze $0.99, Silver $0.98, Gold $0.97 per 1,000. For product-details and review: Bronze $1.40, Silver $1.30, Gold $1.20 per 1,000. Listing-only runs cost just $1.00 per 1,000 products.

Reliability and responsible use

• Proxy requirement — the Actor defaults to the Apify residential proxy, which is recommended for consistent Nike results.
• Conditional fields — details and reviews appear only when their toggles are enabled; some fields are nullable on the platform.
• Public data — the Actor collects publicly visible product and review information from Nike.com.
• Responsible use — only use the data in ways that comply with Nike.com's terms of service and applicable law.

Frequently asked questions

Can I scrape Nike.com by keyword and by category URL?

Yes. Use searchQueries for search terms or startUrls for Nike category (/w/) and product (/t/) URLs. You can combine both.

Can I schedule the Nike Scraper to run automatically?

Yes. Use the Scheduler tab in Apify Console to run daily or weekly per query and marketplace.

What counts as one result?

A product row counts as one product event ($1.00 per 1,000). Enabling details adds a product-details event per product, and each review adds a review event.

Why are some fields empty?

The details and reviews fields appear only when their toggles are enabled. Nike also leaves some fields unset for certain products.

How do I avoid duplicate records?

Dedupe on the stable styleCode (or productCode) when merging results across runs.

Do I need a proxy?

The Actor works out of the box with the default Apify residential proxy, which is recommended for consistent results.

Related Scraptivo automations

• H&M Scraper — collect H&M product catalogs with pricing and composition details.
• Walmart Scraper — collect Walmart product listings with optional details and reviews.
• Alibaba Scraper — collect Alibaba.com product listings with supplier and review data.

Support and custom workflows

Need a different field, source, or delivery workflow? Contact Scraptivo at scraptivo@gmail.com. Include the Actor name, sample URL, required fields, and expected volume so we can assess the request.