Nike Reviews Scraper

Extract customer reviews from any Nike product page at scale. Collect verified star ratings, detailed review text, fit and comfort assessments, reviewer profiles, and aggregate product data — all without writing a single line of code. Perfect for product research, sentiment analysis, and competitive intelligence.

Features

• Product URL or ID input — Paste any Nike product URL or enter a style code directly
• Full review data — Captures title, text, rating, date, fit, comfort, and recommendation status
• Aggregate product stats — Overall rating, total review count, and rating breakdowns
• Smart pagination — Automatically pages through all available reviews up to your limit
• Flexible sorting — Sort by most recent, most helpful, highest, or lowest rating
• Deduplication — Each review is saved only once, even across retries
• Proxy support — Works with Apify Proxy residential IPs for high-volume runs
• Clean output — No null fields, no empty strings — only meaningful data

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Use Cases

Product Research

Before sourcing or buying Nike products, analyse customer feedback at scale. Understand common complaints, sizing issues, and what buyers love most about specific models.

Sentiment Analysis

Feed collected reviews into NLP pipelines to measure brand sentiment, track satisfaction trends over time, and identify recurring themes such as comfort problems or quality praise.

Competitor Benchmarking

Compare review volume, average ratings, and fit assessments across multiple Nike product lines to identify which products outperform others in customer satisfaction.

E-commerce & Retail Intelligence

Retailers and drop-shippers can validate product demand by studying verified buyer reviews before stocking items, reducing returns and improving customer satisfaction.

Academic & Market Research

Researchers studying consumer behaviour, product lifecycle, or sports footwear trends can extract structured review datasets for statistical analysis.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No*	—	Full Nike product page URL (e.g. https://www.nike.com/t/air-jordan-mvp-92-mens-shoes-uOkaWWqF/HQ3950-004)
productId	String	No*	—	Nike style code such as HQ3950-004 or base SKU HQ3950. Used when no URL is provided.
results_wanted	Integer	No	20	Maximum number of reviews to collect
max_pages	Integer	No	10	Safety cap on API page requests (each page = ~10 reviews)
sort_by	String	No	RECENT	Sort order: RECENT, HELPFUL, HIGHEST_RATING, LOWEST_RATING
proxyConfiguration	Object	No	—	Apify Proxy settings for reliable large-scale runs

* Either startUrl or productId must be provided.

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Output Data

Each item in the dataset contains:

Field	Type	Description
review_id	Integer	Unique review identifier
product_sku	String	Nike base style code (e.g. HQ3950)
product_title	String	Name of the reviewed product
product_url	String	Link to the Nike product page
overall_rating	Number	Aggregate product rating (e.g. 4.6)
review_rating	Integer	Star rating for this review (1–5)
review_title	String	Short headline of the review
review_text	String	Full review body text
reviewer_name	String	Display name of the reviewer
reviewer_location	String	Location reported by reviewer
size_worn	String	Shoe size the reviewer normally wears
fit	String	Fit assessment: Runs Small, True to Size, or Runs Big
comfort	String	Comfort level: Uncomfortable, Average, or Very Comfortable
recommended	String	Whether reviewer recommends the product (Yes / No)
helpful_votes	Integer	Number of helpful up-votes on this review
not_helpful_votes	Integer	Number of not-helpful down-votes
date_posted	String	Human-readable review date (e.g. May 18, 2026)
date_posted_ms	Integer	Review creation timestamp in milliseconds
locale	String	Review locale (e.g. en_US)
verified_purchase	Boolean	Whether review is from a verified buyer
has_media	Boolean	Whether review includes photos or videos

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Usage Examples

Scrape by Product URL

The most straightforward method — paste the full Nike product URL:

{
    "startUrl": "https://www.nike.com/t/air-jordan-mvp-92-mens-shoes-uOkaWWqF/HQ3950-004",
    "results_wanted": 50
}

Scrape by Product ID / Style Code

If you only have a style code, enter it directly:

{
    "productId": "HQ3950-004",
    "results_wanted": 100,
    "sort_by": "HELPFUL"
}

Collect All Reviews Sorted by Lowest Rating

Ideal for identifying product issues and support patterns:

{
    "startUrl": "https://www.nike.com/t/air-jordan-1-retro-high-og-shoes-KHXHc2/DZ5485-612",
    "results_wanted": 200,
    "sort_by": "LOWEST_RATING",
    "max_pages": 20
}

High-Volume Run with Proxy

For large datasets, enable residential proxies for reliability:

{
    "productId": "FQ2432",
    "results_wanted": 500,
    "max_pages": 50,
    "sort_by": "RECENT",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

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Sample Output

{
    "review_id": 1687533,
    "product_sku": "HQ3950",
    "product_title": "Air Jordan MVP 92 Men's Shoes",
    "product_url": "https://www.nike.com/t/air-jordan-mvp-92-mens-shoes-uOkaWWqF/HQ3950-401",
    "overall_rating": 4.6,
    "review_rating": 5,
    "review_title": "1st Jordan's",
    "review_text": "First pair of Jordans I have ever purchased and I'm not disappointed. They are so comfortable and the style can be worn with just about any outfit!",
    "reviewer_name": "MichelleF703285291",
    "reviewer_location": "US",
    "size_worn": "8.5",
    "fit": "True to Size",
    "comfort": "Very Comfortable",
    "recommended": "Yes",
    "helpful_votes": 0,
    "not_helpful_votes": 0,
    "date_posted": "May 18, 2026",
    "date_posted_ms": 1779129695000,
    "locale": "en_US",
    "verified_purchase": false,
    "has_media": false
}

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Tips for Best Results

Find Your Product URL

Navigate to any Nike product page and copy the URL from your browser's address bar. The scraper accepts any Nike .com product URL regardless of colorway or region.

Use Base SKU for All Colorways

Entering style code HQ3950 (without a colorway suffix like -004) fetches reviews for the entire product family across all colorways, giving you more reviews in a single run.

Choose the Right Sort Order

• RECENT — Best for tracking new feedback and monitoring product sentiment over time
• HELPFUL — Best for surfacing the most insightful community-vetted reviews
• LOWEST_RATING — Best for quality assurance and identifying product problems

Proxy Configuration

For runs collecting more than 100 reviews, enabling residential proxies reduces the risk of rate limiting and ensures uninterrupted data collection.

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Integrations

Connect your Nike review data with:

• Google Sheets — Export for team analysis and dashboards
• Airtable — Build searchable review databases by product or rating
• Slack — Receive notifications when new reviews appear for tracked products
• Make — Automate weekly review collection workflows
• Zapier — Trigger alerts when low-rated reviews are detected
• Webhooks — Push data directly to your own API or analytics platform

Export Formats

Download collected reviews in multiple formats:

• JSON — For developers and API integrations
• CSV — For spreadsheet analysis in Excel or Google Sheets
• Excel — For business reporting and pivot tables
• XML — For system integrations and data pipelines

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Frequently Asked Questions

What URLs does the scraper support?

Any Nike product page URL from www.nike.com is supported. Both standard product URLs (/t/product-name/STYLE-CODE) and style codes entered directly are accepted.

How many reviews can I collect?

The scraper can collect all publicly available reviews for a product. Set results_wanted to a high number (e.g. 1000) and adjust max_pages accordingly. Each page returns approximately 10 reviews.

Does the scraper need a Nike account?

No. Reviews are publicly available and no login is required.

What is the base SKU vs style code?

A full style code like HQ3950-004 includes a colorway suffix. The base SKU (HQ3950) aggregates reviews across all colorways of the same model. Both are accepted as input.

Can I scrape multiple products at once?

Run the actor multiple times with different URLs or product IDs. You can also schedule runs or use the Apify API to trigger parallel scrapes.

What is the sort_by parameter?

It controls review ordering: RECENT shows newest first, HELPFUL shows most voted first, HIGHEST_RATING and LOWEST_RATING filter by star count.

Are reviews from all regions included?

The scraper fetches reviews in en_US locale by default, which includes reviews submitted on the US Nike website.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• API Reference
• Scheduling Runs

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Legal Notice

This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with Nike's terms of service and applicable laws. Use collected data responsibly and respect rate limits. This tool is intended for research, analysis, and business intelligence purposes only.