Walmart Reviews Scraper ⭐

What does Walmart Reviews Scraper do?

Extract structured customer reviews from Walmart product pages using a product URL or product ID. Collect star ratings, review text, reviewer metadata, product-level summary signals, and media links in a clean dataset ready for market research, sentiment analysis, and competitive monitoring.

Why use Walmart Reviews Scraper?

• Reliable dataset creation - Collect Walmart review data without manual copy-paste or page-by-page browsing.
• Configurable sorting - Pull most relevant, most helpful, newest, oldest, highest-rated, or lowest-rated reviews.
• Automation-ready output - Export results to JSON, CSV, Excel, or XML, and connect them to downstream workflows.
• Use-case fit - Supports product research, reputation monitoring, merchandising insights, and BI data pipelines.

What data can you extract from Walmart?

Field	Description
productId	Walmart product identifier
productName	Product title
reviewId	Unique review identifier
reviewTitle	Review headline
reviewText	Full review content
rating	Star rating value
recommended	Whether the reviewer recommends the product
reviewSubmissionTime	Submission date from source
userNickname	Reviewer display name
userLocation	Reviewer location
positiveFeedback	Helpful vote count
negativeFeedback	Unhelpful vote count
mediaUrls	Review image and media URLs

How to use Walmart Reviews Scraper

1. Open the Actor on Apify Store.
2. Add a Walmart product URL, review URL, or numeric product ID.
3. Set the result limit, sort order, and optional proxy settings.
4. Run the Actor.
5. Download the dataset or connect it to your workflow.

Input Parameters

Parameter	Type	Required	Default	Description
productUrl	String	No	Prefilled example URL	Walmart product or review URL to collect reviews from
productId	String	No	Prefilled example ID	Numeric Walmart product ID; used when URL is not provided
sort	String	No	relevancy	Review sort order: relevancy, helpful, submission-desc, submission-asc, rating-desc, rating-asc
results_wanted	Integer	No	20	Maximum number of reviews to collect
max_pages	Integer	No	10	Maximum number of review pages to fetch
proxyConfiguration	Object	No	Not set	Proxy settings for stability; enable Apify Proxy for anti-blocking

Output Data

Field	Type	Description
productId	String	Walmart product ID
productName	String	Product title
productUrl	String	Walmart review page URL
canonicalProductUrl	String	Canonical Walmart product URL when available
reviewId	String	Unique review identifier
reviewReferenceId	String	Review reference token
reviewTitle	String	Review headline
reviewText	String	Full review text
rating	Number	Star rating value
recommended	Boolean	Whether the reviewer recommends the product
reviewSubmissionTime	String	Submission date from source
userNickname	String	Reviewer display name when available
userLocation	String	Reviewer location
positiveFeedback	Number	Helpful vote count
negativeFeedback	Number	Unhelpful vote count
mediaUrls	Array	Review image and media URLs
averageOverallRating	Number	Product average rating
totalReviewCount	Number	Total review count for the product
filteredReviewsCount	Number	Filtered review count under current view
currentPage	Number	Source page number for the review

Usage Examples

Basic Run With Product URL

Collect the first batch of reviews from a Walmart product:

{
  "productUrl": "https://www.walmart.com/reviews/product/18023573301?entryPoint=viewAllReviewsBottom",
  "results_wanted": 20
}

Run With Product ID

Use a numeric product ID instead of a URL:

{
  "productId": "18023573301",
  "results_wanted": 50,
  "max_pages": 10
}

Sorted Reviews With Proxy

Collect highest-rated reviews with residential proxy for stability:

{
  "productUrl": "https://www.walmart.com/reviews/product/18023573301?entryPoint=viewAllReviewsBottom",
  "sort": "rating-desc",
  "results_wanted": 100,
  "max_pages": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Sample Output

{
  "productId": "18023573301",
  "productName": "Free Assembly Women's and Women's Plus Sleeveless Belted Cotton Midi Dress, Sizes XS-4X",
  "productUrl": "https://www.walmart.com/reviews/product/18023573301?entryPoint=viewAllReviewsBottom",
  "reviewId": "417671463",
  "reviewReferenceId": "9c6dc3b4-a217-5833-91db-ba1e422e0a1a",
  "reviewTitle": "Beautiful 100% cotton dress",
  "reviewText": "This dress is 100% cotton...",
  "rating": 5,
  "recommended": true,
  "reviewSubmissionTime": "2/25/2026",
  "userLocation": "Florida",
  "positiveFeedback": 12,
  "negativeFeedback": 1,
  "mediaUrls": [
    "https://i5.walmartimages.com/dfw/...jpg"
  ],
  "averageOverallRating": 4.3,
  "totalReviewCount": 355,
  "filteredReviewsCount": 51,
  "currentPage": 1
}

Tips for Best Results

• Start with results_wanted: 20 to validate your input before scaling up.
• Prefer direct review URLs or numeric product IDs for the most reliable input.
• Increase max_pages only when you need more review depth.
• Enable Apify Proxy with residential groups for larger or scheduled runs.

Integrations

• Google Sheets - Share review datasets with non-technical teams.
• Airtable - Build searchable feedback repositories.
• Make - Trigger automations from new review runs.
• Zapier - Route review data to downstream apps.
• Webhooks - Push results into custom services.

Export formats: JSON, CSV, Excel, XML.

Frequently Asked Questions

Can I scrape by product ID only?

Yes. Provide productId and the Actor resolves the review page automatically.

Does this support pagination?

Yes. The Actor paginates review pages up to max_pages and stops early when results_wanted is reached.

Can I control review order?

Yes. Use sort to choose relevancy, helpfulness, recency, or rating-based ordering.

Why are some fields missing in some reviews?

Not all reviewers provide every field (for example location or media), so only available values are saved.

Can I run this on multiple products?

Run the Actor separately per product input for clean, product-specific datasets.

Is it legal to scrape Walmart reviews?

Scraping public web data can be legal, but you are responsible for complying with applicable laws, website terms, and privacy rules.

Related Actors

• Target Reviews Scraper - Collect customer reviews from Target product pages.
• AliExpress Reviews Scraper - Extract product reviews from AliExpress.
• IKEA Reviews Scraper - Collect customer reviews from IKEA product pages.
• Walmart Product Scraper - Extract Walmart product listings, pricing, and availability.

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 sources. Users are responsible for using the data responsibly and complying with applicable laws and website terms.