Nike Reviews Scraper

What does Nike Reviews Scraper do?

Nike Reviews Scraper extracts public customer reviews from Nike product pages and saves them as structured data. Use a Nike product URL or a Nike style code, choose how many reviews you want, and collect ratings, review text, reviewer details, fit feedback, comfort feedback, recommendation status, helpful votes, product metadata, and review dates.

This Nike reviews scraper is useful for product research, customer sentiment analysis, quality monitoring, ecommerce reporting, retail planning, and AI or RAG datasets built from product feedback. Instead of manually copying review content from Nike pages, you can run the Actor on demand, schedule recurring runs, and export the dataset in formats such as JSON, CSV, Excel, XML, or through Apify integrations.

Why use Nike Reviews Scraper?

• Structured Nike review datasets - Collect customer feedback in a clean table with consistent field names.
• Product research at scale - Compare review ratings, common complaints, fit issues, comfort feedback, and buyer recommendations across Nike products.
• Flexible product input - Start with a full Nike product URL or a Nike product ID such as a style code.
• Review sorting - Collect the most recent, most helpful, highest-rated, or lowest-rated reviews depending on your research goal.
• Automation-ready output - Export data to spreadsheets, dashboards, databases, AI tools, or internal analytics workflows.
• Repeatable monitoring - Schedule runs to track new feedback for important products over time.

What data can you extract from Nike?

Field	Description
review_id	Unique review identifier
product_sku	Nike base style code for the reviewed product
product_title	Product name shown with the review
product_url	Direct Nike product page URL when available
overall_rating	Aggregate rating for the product
review_rating	Star rating for the individual review
review_title	Review headline
review_text	Full customer review text
reviewer_name	Public reviewer display name
reviewer_location	Reviewer location when published
size_worn	Size information provided by the reviewer
fit	Fit feedback such as Runs Small, True to Size, or Runs Big
comfort	Comfort feedback such as Uncomfortable, Average, or Very Comfortable
recommended	Whether the reviewer recommends the product
helpful_votes	Helpful vote count
not_helpful_votes	Not-helpful vote count
date_posted	Human-readable review date
date_posted_ms	Review timestamp in milliseconds
locale	Review locale
verified_purchase	Verified purchase status when available
has_media	Whether the review includes customer media

How to scrape Nike reviews

1. Open Nike Reviews Scraper on Apify.
2. Paste a Nike product URL into startUrl, or enter a style code in productId.
3. Set results_wanted to the number of reviews you want.
4. Adjust max_pages if you are collecting a large dataset.
5. Choose sort_by for recent, helpful, highest-rated, or lowest-rated reviews.
6. Run the Actor and open the dataset.
7. Download the results or connect them to another tool.

Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	-	Full Nike product page URL, for example 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 such as HQ3950; used when no URL is provided
results_wanted	Integer	No	20	Maximum number of reviews to collect per run
max_pages	Integer	No	10	Safety cap on paginated review requests; each page returns up to 10 reviews
sort_by	String	No	RECENT	Review sort order: RECENT, HELPFUL, HIGHEST_RATING, or LOWEST_RATING
proxyConfiguration	Object	No	{ "useApifyProxy": false }	Optional Apify Proxy settings for more stable larger runs

Provide either startUrl or productId. If both are provided, startUrl is used first.

Output Data

Field	Type	Description
review_id	Integer	Unique review identifier
product_sku	String	Nike base style code
product_title	String	Name of the reviewed product
product_url	String	Direct Nike product page URL
overall_rating	Number	Aggregate product rating
review_rating	Integer	Star rating from 1 to 5
review_title	String	Review headline
review_text	String	Full review body text
reviewer_name	String	Public reviewer display name
reviewer_location	String	Reviewer location when available
size_worn	String	Size normally worn by the reviewer
fit	String	Fit assessment
comfort	String	Comfort assessment
recommended	String	Recommendation value, usually Yes or No
helpful_votes	Integer	Number of helpful votes
not_helpful_votes	Integer	Number of not-helpful votes
date_posted	String	Formatted review date
date_posted_ms	Integer	Review creation timestamp in milliseconds
locale	String	Review locale such as en_US
verified_purchase	Boolean	Whether verified purchase status is available and true
has_media	Boolean	Whether the review includes photos or videos

Usage Examples

Scrape reviews from a Nike product URL

Use a complete Nike product page URL when you want to collect reviews for a specific product page.

{
  "startUrl": "https://www.nike.com/t/air-jordan-mvp-92-mens-shoes-uOkaWWqF/HQ3950-004",
  "results_wanted": 50,
  "max_pages": 10,
  "sort_by": "RECENT"
}

Scrape reviews by Nike style code

Use productId when you already have the Nike style code and do not want to paste the full product URL.

{
  "productId": "HQ3950-004",
  "results_wanted": 100,
  "max_pages": 10,
  "sort_by": "HELPFUL"
}

Find low-rated Nike reviews

Sort by lowest rating when you want to identify recurring product problems, comfort complaints, sizing concerns, or quality issues.

{
  "startUrl": "https://www.nike.com/t/air-jordan-mvp-92-mens-shoes-uOkaWWqF/HQ3950-004",
  "results_wanted": 100,
  "max_pages": 15,
  "sort_by": "LOWEST_RATING"
}

Run a larger collection with Apify Proxy

Use proxy settings for larger review collections or scheduled monitoring.

{
  "productId": "HQ3950",
  "results_wanted": 300,
  "max_pages": 30,
  "sort_by": "RECENT",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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
}

Tips for Best Results

• Use complete product URLs for testing - Start with a Nike product page URL copied from your browser, then switch to style codes once you know which products you want to monitor.
• Use base SKUs for broader product feedback - A base SKU such as HQ3950 can help collect reviews connected to the product family instead of one colorway-specific style code.
• Match sorting to the task - Use RECENT for monitoring, HELPFUL for research, LOWEST_RATING for issue discovery, and HIGHEST_RATING for positive feedback analysis.
• Set enough pages for your target limit - Each page can return up to 10 reviews, so results_wanted: 200 usually needs max_pages of at least 20.
• Expect some optional fields to be empty - Reviewer location, size, verified purchase status, and media availability depend on what Nike publishes for each review.
• Test before scheduling - Run a small sample first, check the dataset preview, then increase the limit or create a schedule.

Integrations

• Google Sheets - Send Nike review data to a spreadsheet for manual review, charts, or team workflows.
• CSV and Excel - Download review datasets for reporting, pivot tables, and product comparisons.
• JSON - Use structured output in applications, dashboards, scripts, AI agents, and RAG pipelines.
• Webhooks - Trigger downstream workflows after each Actor run.
• Make or Zapier - Automate review monitoring, alerts, and reporting without custom code.
• Apify API - Start runs, fetch datasets, and connect Nike reviews to your own systems.

Frequently Asked Questions

Can I scrape Nike reviews from any Nike product page?

Yes. The Actor accepts public Nike product page URLs from www.nike.com and Nike style codes. A valid product URL or product ID is required so the Actor can identify the product reviews to collect.

Can I export Nike reviews to CSV or Excel?

Yes. Apify datasets can be exported to CSV, Excel, JSON, XML, and other supported formats. You can also access the data through the Apify API.

Can I collect only recent Nike reviews?

Yes. Set sort_by to RECENT to collect the newest reviews first. This is useful for monitoring recent customer feedback after a product release or restock.

Can I find negative Nike product reviews?

Yes. Set sort_by to LOWEST_RATING to prioritize low-star reviews. This helps with sizing research, quality checks, return-risk analysis, and product improvement research.

Does the Actor collect reviewer personal data?

The Actor only saves public review fields that are available with the review, such as display name and location when Nike publishes them. Users are responsible for handling any collected data in line with applicable privacy rules.

Why are some fields missing from certain reviews?

Some fields may be empty because the reviewer did not provide that information or Nike does not publish it for that review. For example, not every review includes size worn, comfort feedback, location, or media.

Can I run Nike Reviews Scraper on a schedule?

Yes. You can schedule the Actor in Apify Console to monitor Nike reviews hourly, daily, weekly, or at another interval supported by your workflow.

Is Nike Reviews Scraper an official Nike API?

No. Nike Reviews Scraper is an independent Actor for collecting publicly available Nike review data. It is not affiliated with, endorsed by, or operated by Nike.

Is it legal to scrape Nike reviews?

Scraping public web data can be legal, but your use case matters. You are responsible for complying with applicable laws, Nike terms, privacy rules, and data protection requirements.

Related Actors

• Nike Product Scraper - Collect Nike product listings, prices, ratings, inventory, sizes, colors, and product URLs for price monitoring and market research.
• Noon Reviews Scraper - Extract ecommerce product reviews and ratings from Noon for customer sentiment and competitor analysis.
• TrustRadius Review Scraper - Collect software review text, ratings, reviewer details, and sentiment-ready review data for B2B research.

Support

For issues, feature requests, or custom Actor work, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is designed for legitimate data collection from publicly available Nike product review pages. Users are responsible for using the data responsibly and complying with applicable laws, website terms, privacy rules, and platform policies.