Walmart Reviews Scraper

Built for brands and sellers on the Walmart marketplace. Scrape and export critical review data to protect your brand reputation, analyze the competition, and make data-driven decisions.

⭐ 5.0/5 rating with 3000+ installs

from 99+ happy users

Step by Step

How to Use the Walmart Reviews Scraper

Go from a Walmart product page to a comprehensive spreadsheet in three easy steps:

1

Go to a Walmart Product

Navigate to any product listing on Walmart.com that you want to analyze.

2

Open the Scraper

Click the extension's icon in your browser to launch the scraping tool.

3

Export All Reviews

Click 'Start Export' to automatically scrape and download all available reviews for that product.

Walmart Reviews Scraper Features

Leverage unique data points from Walmart to get a complete picture of customer feedback and the competitive landscape.

Verified Purchaser Filter

Focus your analysis on authentic feedback by extracting data on whether a review comes from a verified purchaser.

Seller & Fulfillment Data

Identify who is selling the product ('Sold & shipped by Walmart' vs. third-party) to understand the marketplace dynamics.

Rich Media Extraction

Download customer-submitted images to see how products look and perform in the real world, providing invaluable quality insights.

Engagement Metrics

Analyze the number of positive and negative feedback votes on each review to identify the most impactful customer opinions.

Robust & Reliable

Built to handle Walmart's dynamic page loading, ensuring you get a complete and accurate dataset every time you scrape.

Multiple Export Formats

Get your data in the format you need. Export to CSV, Excel (XLSX), or JSON for easy integration with your analysis tools.

Data Reference

Walmart Reviews Scraper Export Data Fields

Complete reference of all data fields extracted from Walmart reviews with detailed explanations.

id

Unique identifier for each review record, useful for data deduplication and referencing.

String

buyer_name

Username of the reviewer (privacy-protected with asterisks, e.g., 'John***').

String

is_anonymous

Boolean flag indicating whether the review was posted anonymously.

Boolean

rating

Star rating given by the reviewer (1-5 stars scale).

Integer

review_title

Title or headline of the review as written by the customer.

String

review_content

Complete text content of the review in the original language posted by the user.

String

review_images

Array of image URLs attached to the review by the buyer (product photos, etc.).

Array

has_media

Boolean flag indicating whether the review contains images or videos.

Boolean

positive_feedback

Number of positive/helpful votes the review received from other users.

Integer

negative_feedback

Number of negative/unhelpful votes the review received from other users.

Integer

verified_purchaser

Boolean flag indicating if the reviewer is a verified purchaser of the product.

Boolean

review_date

Date when the review was posted, formatted in standard date format (YYYY-MM-DD).

Date

product_features

Product variant information (color, size, model) that the reviewer purchased.

Object

fulfillment

Shipping and fulfillment information (e.g., 'Sold & shipped by Walmart', '2-day shipping').

String

seller_name

Name of the seller or vendor who sold the product (Walmart or third-party seller).

String

original_language

Original language of the review content as detected from the text.

String

translated_language

Language code if the review has been auto-translated by Walmart.

String

external_source

Source platform if the review was imported from external sources.

String

author_id

Unique identifier for the review author (when available and public).

String

product_url

Direct URL to the Walmart product page where the review was found.

String

product_title

Full title/name of the product being reviewed as displayed on Walmart.

String

product_image

Main product image URL from the Walmart product page.

String

product_category

Product category or department classification on Walmart (e.g., 'Electronics', 'Home & Garden').

String

offer_id

Unique offer identifier for the specific product variant or listing.

String

seller_id

Unique identifier for the seller or vendor on Walmart marketplace.

String

product_type

Type classification of the product (e.g., 'Physical Product', 'Digital Download').

String

Ready to see this data in action?

Choose Your Plan

Flexible pricing options for different data extraction needs and usage volumes.

Free Trial

$0USD

Perfect for testing the extension and small-scale extraction projects.

Free features include

  • Up to 20 reviews per export session
  • CSV export format
  • Basic interval settings (5 seconds)
  • Standard extraction speed
  • Community support via forums
Add to Chrome

No credit card required

Pro Yearly

$119.88$59.99USD

Maximum savings for serious professionals and businesses with ongoing data needs.

All Pro Monthly features

  • All Pro Monthly features included
  • 50% savings compared to monthly
  • Annual billing with maximum discount
  • Priority support with dedicated contact
  • Beta access to experimental features
Add to Chrome

Best value - save $60 per year

User Reviews

What Brands and Sellers Say

See how leading brands and marketplace sellers use our tool to win on Walmart.

Sarah L.

Brand Manager, CPG Company

This tool is essential for our brand monitoring on Walmart.com. We scrape our product reviews weekly to track customer sentiment. The 'Verified Purchaser' data point is critical for us to focus on genuine feedback and respond to issues quickly.

David C.

Walmart Marketplace Seller

I use this to keep an eye on my main competitors. The 'Seller Name' and 'Fulfillment' data tells me if I'm competing against Walmart directly or another third-party seller. It helps me adjust my pricing and strategy.

Maria G.

Market Research Analyst

The amount of data this scraper pulls is incredible. We analyze the positive and negative feedback counts to see which review comments are resonating most with shoppers. The data is always clean and easy to import into our systems.

Kevin P.

E-commerce Agency

Our clients rely on us to manage their Walmart presence. This tool lets us efficiently gather performance data. The ability to extract customer images gives us user-generated content and valuable insights into product quality.

Emily T.

Private Label Seller

Before launching a new product, I do extensive research. This scraper lets me pull all the reviews for the top sellers in my niche. I can analyze their weaknesses and build a better product from day one. A must-have tool.

James R.

Data Scientist, Retail Analytics

The tool's reliability is impressive; it handles Walmart's complex site structure without issues. Exporting to JSON is perfect for our workflow. We use the 'Product Features' data to analyze feedback on specific product variations.
FAQ

Frequently Asked Questions

Your questions about scraping Walmart reviews for brand management and competitive analysis.

1

What makes this scraper ideal for Walmart?

Our tool is built to extract the data points that matter on Walmart, such as 'Verified Purchaser' status, seller and fulfillment information, and detailed feedback metrics. It's designed to handle Walmart's specific site layout and dynamic content loading.

2

Can I see who is selling the product?

Yes. We extract the 'Seller Name' and 'Fulfillment' details for each review, so you can easily distinguish between products sold directly by Walmart and those sold by third-party marketplace sellers.

3

How do you ensure the data is accurate?

Our scraper is designed to be robust, with error recovery and data validation checks. It reliably handles Walmart's infinite scroll and dynamic content to ensure you get a complete and accurate set of reviews every time.

4

Is my data and activity private?

Absolutely. The extension runs entirely on your local machine. No review data or personal information is ever sent to our servers, so your research and analysis remain completely confidential.

5

What export formats are available?

You can export all review data to CSV, Excel (XLSX), or JSON. This gives you the flexibility to use the data in any spreadsheet, database, or analytics platform you prefer.

6

Is there a limit to how many reviews I can scrape?

The free trial allows you to export up to 20 reviews per product. For unlimited review exports, which is ideal for comprehensive analysis, you can upgrade to our Pro plan.

Get the Walmart Insights You Need to Win

Stop guessing and start analyzing. Use our review scraper to monitor your brand, scout the competition, and make smarter decisions on the Walmart marketplace.