Nike Scraper

Nike Scraper creates a structured dataset of product records collected from Nike.com. Each dataset item represents one product and can include the title, product and style codes, current and initial price, discount percentage, color, image, URL, marketplace and language, and — when enabled — size availability and rating summary in a nested details object and customer reviews in a nested reviews array. Query the source using search keywords or category URLs, filter by marketplace and language, control the result limit with maxItems, and retrieve records through the Apify Dataset API or export them as JSON, CSV, or Excel.

Dataset at a glance

Property	Value
Source	nike.com
Record unit	One product listing
Input methods	Search keywords, category/product URLs
Main identifiers	styleCode, productCode
Delivery	Apify Dataset and API
Export formats	JSON, CSV, Excel
Update model	Fresh records per Actor run
Pricing	Pay per event, from $1.00 per 1,000 products

Coverage and available records

The Actor collects products from two source types:

• Search results — products returned for searchQueries.
• Category/product pages — products on Nike category (/w/) or product (/t/) URLs.

Supported behavior:

• Marketplace and language — marketplace selects one of 21 Nike country storefronts (DE, US, GB, FR, and more), with language selecting the store language.
• Facet filters — filters accepts attributeId values discovered in the available-filters key-value store record written on the first listing page.
• Optional product details (includeProductDetails) fetches size availability and rating summaries.
• Optional reviews (includeReviews) embeds customer reviews on each product row.

details, reviews, and the rating summary fields are conditional on the corresponding option.

Data dictionary

Field	Type	Nullable	Description	Example
recordType	string	No	Record type (product)	product
productCode	string	Yes	Nike product code	FV4143-100
styleCode	string	Yes	Nike style code	FV4143
globalProductId	string	Yes	Global product identifier	...
title	string	No	Product title	Nike Air Zoom
subtitle	string	Yes	Short description	Men's Shoes
productType	string	Yes	Product type	Shoes
productSubType	string	Yes	Product subtype	Volleyball
colorLabel	string	Yes	Color name	White
colorHex	string	Yes	Color hex code	#ffffff
currentPrice	number	Yes	Current price	129.99
initialPrice	number	Yes	Original price	139.99
discountPercentage	number	Yes	Discount percent	7
currency	string	Yes	Price currency	EUR
imageUrl	string	Yes	Product image	https://static.nike.com/...
url	string	Yes	Product URL	https://www.nike.com/de/t/...
badgeLabel	string	Yes	Badge text	Just In
featuredAttributes	array	Yes	Attribute labels	["Sustainable Materials"]
marketplace	string	No	Country code	DE
language	string	No	Language code	de
seed	string	No	Source query or URL	volleyball
reviewCount	integer	Yes	Review count	45
sizeCount	integer	Yes	Number of sizes	12
availableSizeCount	integer	Yes	In-stock sizes	9
averageOverallRating	number	Yes	Overall rating	4.6
details	object	Yes	Nested details (details enabled)	{...}
reviews	array	Yes	Nested reviews (reviews enabled)	[{...}]

Use styleCode (fallback productCode) as the stable field for deduplication.

Example dataset record

{
  "recordType": "product",
  "productCode": "FV4143-100",
  "styleCode": "FV4143",
  "title": "Nike Air Zoom",
  "subtitle": "Men's Shoes",
  "productType": "Shoes",
  "colorLabel": "White",
  "colorHex": "#ffffff",
  "currentPrice": 129.99,
  "initialPrice": 139.99,
  "discountPercentage": 7,
  "currency": "EUR",
  "imageUrl": "https://static.nike.com/a/images/t_PDP_864_v1/f_auto,q_auto:eco/example.jpg",
  "url": "https://www.nike.com/de/t/air-zoom/FV4143-100",
  "badgeLabel": "Just In",
  "marketplace": "DE",
  "language": "de",
  "seed": "volleyball"
}

This record was produced by a volleyball search on the DE marketplace with details and reviews disabled.

Query and input reference

Input	Type	Required	Default	Accepted values	Description
searchQueries	array	No¹	["volleyball"]	Any strings	Nike search terms.
startUrls	array	No¹	—	Category (/w/) or product (/t/) URLs	Nike URLs to start from.
filters	array	No	[]	{attributeId, label} objects	Facet filters from the available-filters record.
marketplace	string	No	DE	DE, US, GB, FR, and 17 more	Nike country storefront.
language	string	No	de	de, en, fr, es, and more	Store language.
includeProductDetails	boolean	No	false	true / false	Fetch size availability and rating summary (billed as product-details).
includeReviews	boolean	No	false	true / false	Fetch reviews (billed as review).
maxReviewsPerProduct	integer	No	0	0 = all	Cap reviews per product when enabled.
detailConcurrency	integer	No	10	1–50	Parallel workers for details/reviews.
maxItems	integer	No	0	0 = unlimited	Maximum product records.
proxyConfiguration	object	No	Apify residential	Proxy editor	Proxy settings.

¹ At least one of searchQueries or startUrls must contain a value.

Minimal request:

{ "searchQueries": ["volleyball"], "marketplace": "DE", "maxItems": 20 }

Advanced request (details and reviews enabled):

{
  "searchQueries": ["volleyball"],
  "marketplace": "DE",
  "language": "de",
  "includeProductDetails": true,
  "includeReviews": true,
  "maxReviewsPerProduct": 10,
  "maxItems": 50,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Retrieve the data through the API

1. Start the Actor with a JSON input.
2. Wait for the run to finish, or use the synchronous endpoint for small jobs.
3. Retrieve items from the run's default dataset.
4. Paginate or export the dataset.

Python example:

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("datascrapers/nike-scraper").call(
    run_input={"searchQueries": ["volleyball"], "marketplace": "DE", "maxItems": 50}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item.get("currentPrice"))

For other languages, use the generated API tab on the Actor page.

Data quality and record handling

• Completeness — listing fields (title, styleCode, currentPrice) are returned when Nike exposes them; details and reviews are conditional on the corresponding option.
• Source changes — Nike page structure changes can cause individual fields to come back empty; rows are still written with the fields that were found.
• Deduplication — the Actor writes one row per product per run and does not persist dedup state across runs. Deduplicate on styleCode (fallback productCode) when merging runs.
• Retry/error behavior — detail and review enrichment fails soft so a failed enrichment call does not discard the listing row.
• Normalization — currentPrice is numeric with a separate currency code; discountPercentage is derived from currentPrice and initialPrice.

Export and pipeline examples

Destination	Recommended method	Typical use
PostgreSQL/Supabase	Dataset API or webhook consumer	Product and pricing tables
Google Sheets	Apify integration	Assortment and discount sheets
S3/cloud storage	Scheduled export or integration	Archive catalog snapshots

Pricing and cost examples

Billing is pay per event. You are not charged Apify platform usage on top of these events.

Event	When charged	Price
product	Each product row written	$1.00 per 1,000
product-details	Each product with details fetched (when enabled)	$1.50 per 1,000
review	Each review collected (when enabled)	$1.50 per 1,000

Records	Estimated base cost
1,000 products	$1.00
10,000 products	$10.00

Estimates assume listings only. Details and reviews add events at their listed rates, and Apify plan discounts may reduce the per-event price.

Limitations and responsible data use

• The Actor reads publicly accessible Nike.com listing data.
• Availability and source changes can produce empty or partial fields.
• No guarantee of historical snapshots unless you store results yourself.
• You are responsible for compliance with applicable terms, privacy, and legal requirements when using the data.

Dataset questions

What does one dataset item represent?

One Nike product listing. Size availability and reviews are nested on the same row rather than written as separate items.

Which field should I use as a unique identifier?

styleCode is the stable Nike style identifier; use productCode (style-color) as a fallback.

Are fields nullable or conditional?

Many fields (subtitle, badgeLabel, initialPrice) are null when Nike does not return them. details and reviews are present only when the matching option is enabled.

Can I retrieve the records as CSV or JSON?

Yes. Export from the Output tab as JSON, CSV, or Excel, or read the dataset through the Apify API.

How do I paginate large datasets?

Use maxItems to cap product records. For API retrieval, paginate the default dataset items endpoint.

Does the Actor return historical data?

No. Each run captures the current state of the listings at run time.

What counts as a billable result?

Each product row is a product event. When enabled, each detail fetch is a product-details event and each review is a review event.

Related datasets from Data Scrapers

• Zalando Product Scraper — Fashion catalog data that can be joined with Nike for cross-brand analysis.
• IKEA Product Scraper — Retail product data for broader assortment research.
• Amazon Search Scraper — Marketplace product data for cross-channel pricing.

Data Scrapers support

Need an additional field, record type, or export workflow? Contact Data Scrapers at stardustspotlight@gmail.com. Include a sample source URL, required fields, expected record volume, and preferred delivery format.