Walmart Reviews Scraper: Ratings, Text & Dates avatar

Walmart Reviews Scraper: Ratings, Text & Dates

Pricing

$2.70 / 1,000 reviews

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Walmart Reviews Scraper: Ratings, Text & Dates

Walmart Reviews Scraper: Ratings, Text & Dates

Scrape Walmart product reviews into a clean dataset: star rating, title, full text, date, verified purchase, helpful votes and variant. Up to 1,000 reviews per product. No reviewer names. Pay only for reviews delivered.

Pricing

$2.70 / 1,000 reviews

Rating

0.0

(0)

Developer

Noor Holdings

Noor Holdings

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

6 days ago

Last modified

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Walmart Reviews Scraper: star ratings, review text and dates

Give it Walmart product links or item IDs and get the reviews back, one row each: stars, title, text, date, verified-purchase flag, helpful votes and the exact variant reviewed.

Reviewer names and IDs are left out on purpose. You get what people said, not who they are.

You pay only for reviews delivered. A product with no reviews, or a bad link, costs nothing.

What you get

FieldExample
productNameGevalia House Blend Ground Coffee, 12 oz. Bag
rating2
titleGevalia
textThis is a ground gevalia coffee not as expected.
date2026-10-03
verifiedPurchasetrue
helpfulVotes0
variantItemId19477401
productAverageRating / productTotalReviews4.7 / 8644

Sample output

{
"productId": "19477394",
"productName": "Gevalia House Blend Ground Coffee, 12 oz. Bag",
"productUrl": "https://www.walmart.com/ip/19477394",
"productAverageRating": 4.7,
"productTotalReviews": 8644,
"reviewId": "442826450",
"rating": 2,
"title": "Gevalia",
"text": "This is a ground gevalia coffee not as expected.",
"date": "2026-10-03",
"verifiedPurchase": true,
"helpfulVotes": 0,
"unhelpfulVotes": 0,
"variantItemId": "19477401",
"sellerName": "Walmart.com",
"fulfilledBy": "Walmart",
"syndicatedFrom": null,
"photoCount": 0,
"language": "English"
}

Quick start

  1. Paste product links (https://www.walmart.com/ip/...) or item IDs into Products.
  2. Set Max reviews per product. Walmart shows 10 per page; up to 1,000 works.
  3. Pick a Sort: most recent, most helpful, highest or lowest rated.
  4. Click Start.

The default input pulls 50 recent reviews of one coffee and runs as-is.

Use cases

  • Read every 1- and 2-star review of your product (sort: lowest) and fix what keeps coming up.
  • Track new reviews on a competitor each week with sort: most recent.
  • Compare complaints across sizes or flavors with variantItemId.
  • Count verified vs unverified reviews before you trust a product's average.

What happens when something goes wrong

Walmart sometimes shows a "Robot or human?" page when a lot of pages come fast. The scraper slows down, switches connection and tries again on its own. In testing that brought back 300 of 300 reviews across three products.

A wrong item ID or a product with no reviews returns 0 rows and isn't charged. RUN_SUMMARY in the run's key-value store lists what happened to each product.

Pricing

Pay per review delivered, plus Apify's small start fee per run. Set a maximum cost per run and the scraper stops at your limit.

FAQ

Why don't I see reviewer names? We leave personal identifiers out. If you need them, this isn't the tool.

Why is title empty so often? Many Walmart reviewers skip the headline. In our test about half had one.

What is syndicatedFrom? Some reviews are copied in from the brand's own website. When that happens this field names the source; empty means it was written on Walmart.

Something broke? Open an issue with the product link. I answer within a day.

Limitations

  • walmart.com (US) only.
  • Review text is the reviewer's own words. Quote it, analyze it, but check before republishing it word for word.
  • Sorting is Walmart's; we don't re-sort.

Export or use as an API

Download any run's results from the Storage tab as CSV, Excel, JSON or XML.

To call it from your own code, send your input to Apify's API and get the rows back in one request:

POST https://api.apify.com/v2/acts/leathered_latch~walmart-reviews-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN

It also plugs into Make, Zapier and n8n through Apify's integrations, and AI agents can find and run it through Apify's MCP server.

Your responsibility

How you use the output is your call, and so is the legal side of it. Copyright still covers any text or images you republish. Reviewer names are left out on purpose. Review text is still someone's own words, so quote it fairly. The source site's own terms apply too. If you're unsure about a use, check with a lawyer first.

If you own content that shows up in these results and want it handled differently, open an issue on the Issues tab. We answer within 14 days.

Data source and credit

Every row comes from Walmart.com (Walmart Inc.). We don't own this data, and we don't take credit for it. The reviews belong to the customers who wrote them.

This tool reads only what Walmart shows to any logged-out visitor. No logins, no private data. Each row keeps a link back to the page it came from (the productUrl field), so you can check any result and credit the source when you use it.

Not affiliated with, endorsed by or sponsored by Walmart. All names and trademarks belong to their owners.

Changelog

  • 0.1 First release. Five sort orders, up to 1,000 reviews per product, automatic retry through Walmart's bot check, no reviewer names.