Walmart Reviews Scraper – Products & Ratings

Pull Walmart product reviews (rating, text, date, verified purchase, helpful votes) together with the product itself: price, availability, rating breakdown, and the review summary Walmart generates for each product. I use it to check what buyers really think before picking a product to sell or compare.

If you'd rather see it in action first, I recorded a short video tutorial:

What you get

Review rows (type: "review"):

Field	Real example
rating	5
text	"Great item. Extremely easy to use. Love it!"
date	2026-10-17
verifiedPurchase	true
helpfulVotes / unhelpfulVotes	0 / 0
photoCount, sellerName, fulfilledBy	0, "Walmart.com", "Walmart"

Product row (type: "product", one per product): name, price (242.99), availability (IN_STOCK), categoryPath, averageRating (4.3), totalReviews (20621), ratingCounts per star, recommendedPercentage (83), and Walmart's own summary of the reviews in reviewsSummary and aspectSummaries. For example: "Customers are pleased with the laptop's affordable price, considering it a great value…".

How much it costs

$0.40 per 1,000 results ($0.0004 each). Each review is one result, and so is each product row.

Example	Results	Cost
1 product, 100 reviews	101	$0.04
10 products × 200 reviews	2,010	$0.80
50 products × 500 reviews	25,050	$10.02

Apify's free plan includes $5 of credit a month, which is about 12,500 results. The optional AI insights add $0.20 per 1,000 reviews analyzed, and the tokens go on your own key. A real run with 20 reviews plus AI insights took 22 seconds.

How to use it

1. Create a free Apify account and open this Actor.
2. Paste product pages into Walmart product URLs, e.g. https://www.walmart.com/ip/5113175776, or put the numbers in Item IDs.
3. Set Max reviews per product. Use 0 if you only want the product row.
4. Choose the order in Sort: newest, most relevant, most helpful, highest or lowest rating.
5. Click Start, then download the results from the Output tab as CSV, Excel or JSON.

Input example

{
  "startUrls": [{ "url": "https://www.walmart.com/ip/5113175776" }],
  "maxReviewsPerProduct": 20,
  "sort": "submission-desc",
  "includeProduct": true
}

Output example (product row)

AI insights (optional)

Walmart's summary is short. If you want more, turn on AI insights per product and add a Gemini or OpenAI key in AI API key. You get one ai-insight row per product with sentiment percentages, top pros and cons with mention counts, themes, feature requests and notable quotes, in the language set in AI output language.

Use cases

• Product research before sourcing: read the 1 and 2-star reviews of the top sellers in a category.
• Comparing two or three similar products on what people actually say.
• Watching ratings and complaints week to week with a schedule.
• Feeding real customer language into ads and product descriptions.

Integrations

• Google Sheets, Make, Zapier, n8n: official Apify app, "Run Actor" (ener90/walmart-products-reviews), then "Get dataset items".
• Slack or webhook when a run finishes.
• API:

from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("ener90/walmart-products-reviews").call(run_input={"itemIds": ["5113175776"], "maxReviewsPerProduct": 50})
for r in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(r["type"], r.get("rating"), r.get("text"))

• AI agents: add it to Apify MCP.

Limitations

• Walmart.com (US) only. A US residential proxy is set by default because Walmart blocks datacenter IPs.
• Reviews come 10 per page, so very large limits take longer.
• A bad URL or ID doesn't fail the run. It becomes a type: "error" row with the reason, and that row counts as one result.

FAQ

Do I need a Walmart account? No.

Is the review summary written by this Actor? No. reviewsSummary and aspectSummaries are Walmart's own and come free with the product row. The ai-insight row is the optional one that uses your key.

Is it legal? It collects public product and review data. Check Walmart's terms for your use case.

More from me

• TrustRadius Reviews Scraper
• AI Review Insights
• Mercado Libre Reviews & Preguntas: the same idea for Latin America.