Walmart Reviews Scraper

Pull the complete review record for any Walmart product — aggregate ratings, rating distribution, individual reviews, verified-purchase flags, and helpful vote counts — all in one run.

Why use this actor

• Monitor product quality trends by tracking average rating and review velocity over time and alerting when sentiment shifts.
• Benchmark competitors by comparing rating distributions, recommended percentages, and review counts across brands.
• Feed customer voice analysis — export full review text into your NLP or sentiment pipeline for theme extraction.
• Filter verified purchases to strip syndicated or unverified reviews before modeling, reducing noise in your data.
• Identify high-return-risk SKUs by correlating low-star review text with product specifications.
• Join SUMMARY and REVIEW rows using the shared productId field to build per-product dashboards in any BI tool.

How it works

1. You provide a list of Walmart product URLs (the https://www.walmart.com/ip/... format).
2. For each product, the actor first collects a SUMMARY row — aggregate rating, total review count, rating distribution, and recommended percentage.
3. It then pages through individual reviews in the sort order you choose, collecting one REVIEW row per review.
4. Pagination stops cleanly when the last page is reached or your maxPagesPerProduct limit is hit.
5. Both record types land in the same Default Dataset — download as JSON, CSV, or Excel, or stream via the API.

You don't need to manage any browsers or scrapers.

Input

{
  "productUrls": [
    { "url": "https://www.walmart.com/ip/Apple-AirPods-with-Charging-Case-2nd-Generation/604342441" },
    { "url": "https://www.walmart.com/ip/Samsung-Galaxy-Buds3/1234567890" }
  ],
  "maxPagesPerProduct": 5,
  "sort": "relevancy",
  "maxConcurrency": 4,
  "maxRequestRetries": 6,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

Field	Type	Required	Default	Description
productUrls	array of objects	Yes	—	Walmart product URLs in { "url": "..." } format.
maxPagesPerProduct	integer	No	5	Review pages to retrieve per product (1–50). Each page holds up to 10 reviews.
sort	string	No	"relevancy"	Sort order: relevancy, recency, helpful, rating_desc, rating_asc, pos_neg.
maxConcurrency	integer	No	4	Number of parallel requests (1–16).
maxRequestRetries	integer	No	6	Retries per request before giving up (1–20).
proxyConfiguration	object	No	Apify RESIDENTIAL	Proxy settings. RESIDENTIAL group recommended.

Output

The dataset contains two record types distinguished by the recordType field.

SUMMARY row — one per product:

{
  "recordType": "SUMMARY",
  "productId": "604342441",
  "title": "Apple AirPods with Charging Case (2nd Generation)",
  "averageRating": 4.7,
  "totalReviewCount": 70601,
  "reviewsWithTextCount": 33760,
  "recommendedPercentage": 44,
  "ratingDistribution": {
    "5": 59291,
    "4": 5816,
    "3": 1764,
    "2": 661,
    "1": 3069
  },
  "scrapedAt": "2026-05-30T04:23:10Z"
}

REVIEW row — one per individual review:

{
  "recordType": "REVIEW",
  "productId": "604342441",
  "reviewId": "rv-8f3a2c1d",
  "rating": 5,
  "title": "Amazing sound, great fit",
  "text": "I switched from older AirPods and the improvement in sound is immediately noticeable. They pair instantly every time.",
  "authorId": "TechReviewer42",
  "badges": ["VerifiedPurchaser"],
  "verifiedPurchase": true,
  "positiveFeedback": 47,
  "negativeFeedback": 2,
  "scrapedAt": "2026-05-30T04:23:10Z"
}

SUMMARY field reference:

Field	Type	Description
recordType	string	Always "SUMMARY" for aggregate rows.
productId	string	Walmart item ID — join key with REVIEW rows.
title	string	Product title.
averageRating	number	Mean customer rating (0–5).
totalReviewCount	integer	Total number of ratings submitted.
reviewsWithTextCount	integer	Reviews that include written text.
recommendedPercentage	integer	Percentage of reviewers who recommend the product.
ratingDistribution	object	Count of ratings for each star level (1–5).
scrapedAt	string	ISO 8601 timestamp of collection.

REVIEW field reference:

Field	Type	Description
recordType	string	Always "REVIEW" for individual review rows.
productId	string	Walmart item ID — join key with SUMMARY row.
reviewId	string	Unique review identifier.
rating	integer	Star rating given by the reviewer (1–5).
title	string	Review headline.
text	string	Full review body text.
authorId	string	Reviewer's display name or anonymized ID.
badges	array	Badges attached to the reviewer (e.g. "VerifiedPurchaser").
verifiedPurchase	boolean	true when Walmart confirms the reviewer bought the item.
positiveFeedback	integer	Number of "helpful" votes received.
negativeFeedback	integer	Number of "not helpful" votes received.
scrapedAt	string	ISO 8601 timestamp of collection.

Other Walmart Scrapers

Actor	What it does
Walmart Search Scraper	Keyword search results — ranking, pricing, and sponsored flags across any number of queries.
Walmart Product Scraper	Full product detail pages — specs, variants, images, top reviews, and fulfillment info.
Walmart Reviews Scraper	Complete review dataset per product — aggregate summary and individual review rows.
Walmart Seller Scraper	Marketplace seller profiles — identity, ratings, contact info, and featured products.