A client needing comparable Walmart product and review data from two countries for shopper research.

Use Case

Consumer insights and shopper research

Region

United States and Canada (client based in the UK)

Sources

Walmart.com, Walmart.ca

Number of sources

Key metrics

Product Listings – US vs Canada · Review Ratings and Text – by Country Site

Contact Sales

Key Takeaways

Actowiz collected public Walmart product and review data from Walmart US (Walmart.com) and Walmart Canada (Walmart.ca) for an existing client, a UK shopper-research and consumer-insights company. The one-time project produced a single, comparable dataset of product details, prices, ratings and review text, tagged by country site, with no reviewer personal data.

What did the client need?

The client, an existing Actowiz customer, contacted us on 7 September 2026 with a one-off requirement. They wanted product information and customer reviews from Walmart in both the US and Canada so their research team could compare how shoppers in each market rate and describe the same kinds of products.

The project kicked off on 25 September 2026. Scope covered [Add product categories from delivery team] and [Add SKU / review count from delivery team]. Reviews were limited to the review text, rating and date – no reviewer names or profiles.

What made this hard?

Two storefronts, two structures – Walmart.com and Walmart.ca present product and review pages differently, so fields had to be mapped into one schema.
Currency and language differences – US dollar and Canadian dollar prices, plus possible French-language text on the Canadian site, needed clear labelling.
Matching comparable products – the same brand item can carry different IDs, titles and pack sizes across the two countries.
Review volume per product – popular items can carry far more reviews than niche ones, so collection had to stay complete without duplicates.
Privacy by design – reviews needed to be useful for research while excluding reviewer identities.

How did Actowiz solve it?

We built a scoped, one-time collection with a shared schema for both country sites.

Approach

Scope agreement – confirmed categories, product lists and review fields with the client before collection.
Public pages only – collected product and review data visible to any logged-out visitor, within agreed request limits.
Unified schema – mapped both sites into the same fields, with a country_site column and a currency field on every row.
Review de-duplication – removed repeated reviews and kept one record per review per product.
Personal-data exclusion – dropped reviewer names, usernames and profile links at collection time.
Quality checks – validated prices, ratings and dates, and spot-checked records against live pages before delivery.

Data Attributes / Fields

Field	Description
product_id	Walmart item ID from the product page
product_title	Product name as shown on the site
brand	Brand name
category_path	Category breadcrumb on the site
price / currency	Listed price with USD or CAD
availability	In stock / out of stock as displayed
rating_avg / review_count	Average star rating and number of reviews
review_title / review_text	Title and body of each public review
review_rating / review_date	Star rating and date of each review
country_site	walmart.com (US) or walmart.ca (Canada)

What were the results?

One comparable dataset – US and Canadian product and review records were organised into a consistent schema, enabling side-by-side analysis across both markets.
Research-ready review text – review titles, text, ratings and dates were structured for product-level research, theme identification and sentiment analysis.
Privacy-safe output – reviewer identities were excluded from the delivered dataset, making internal sharing and analysis more straightforward.
Delivered as scoped – the data collection was completed as a one-time project according to the agreed scope.
Delivery format – structured product and review data was prepared for analysis and integration using the agreed delivery format.

Project at a Glance

Metric	Value
Use Case	Cross-border shopper research and review analysis
Region	United States and Canada
Sources	Walmart.com, Walmart.ca
Metrics	Price, availability, average rating, review count, review text, review rating, review date
Reconciliation / Method	Unified schema, country_site and currency tags, review de-duplication, reviewer data excluded
Cadence	One-time (inquiry 7 Sep 2026, kickoff 25 Sep 2026)
Output	[Add file format and volume from delivery team]

Client Feedback

“Actowiz Solutions delivered a unified dataset of public product and review information from Walmart US and Walmart Canada. Having both markets organized in a consistent format made it easier for our team to compare product assortments, analyze customer feedback, and identify cross-market consumer trends to support our research and business decisions.”

— Consumer Insights Manager, UK Research Company

Frequently Asked Questions

Q: Can Actowiz collect Walmart reviews from both the US and Canada?

A: Yes. We collect public product and review data from Walmart.com and Walmart.ca and deliver it in one schema with a country tag on each record.

Q: Do you collect reviewer names or profiles?

A: No. We collect review text, rating and date only. Reviewer names, usernames and profile details are excluded.

Q: Can this be a one-time project?

A: Yes. This project was a one-off collection. The same setup can also run on a recurring schedule if a client needs ongoing tracking.

Q: How do you handle different currencies?

A: Every price is stored with its currency (USD or CAD), so analysts can convert or compare as they need.

Q: What other Walmart data can you provide?

A: See our Walmart product data scraping, Walmart Canada data scraper, Walmart Canada product dataset and Walmart USA product dataset pages.

Need Walmart review data?

Tell us which Walmart sites, categories and review fields you need, and we will scope a one-time or recurring dataset. Visit actowizsolutions.com to discuss your data requirement.

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