# Walmart Product Reviews

Walmart product reviews scraper: given a walmart.com product item ID, navigate to the...

- Repository: https://github.com/browser-act/skills (6303 stars)
- Category: Writing
- License: MIT
- Last updated: 2026-08-24
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add browser-act/skills --skill walmart-product-reviews -g -a claude-code -y`
Codex: `npx skills add browser-act/skills --skill walmart-product-reviews -g -a codex -y`
Cursor: `npx skills add browser-act/skills --skill walmart-product-reviews -g -a cursor -y`
Gemini CLI: `npx skills add browser-act/skills --skill walmart-product-reviews -g -a gemini-cli -y`

## Description

Walmart product reviews scraper: given a walmart.com product item ID, navigate to the reviews page and extract paginated customer reviews including reviewId, rating, title, review text, author nickname, submission date, verified purchase status, helpful votes, variant selected (color/size), badges, fulfilled by, seller name, and photo count. Use when user mentions walmart reviews, walmart product reviews, walmart customer reviews, scrape walmart reviews, extract walmart reviews, walmart review scraper, walmart ratings and reviews, walmart review data, walmart review text, walmart review pagination, get reviews from walmart, walmart review collector, walmart verified purchase reviews, walmart review analysis, walmart sentiment analysis, walmart review export, walmart buyer feedback. Also applies to bulk collection of walmart product reviews across multiple items, sentiment analysis on walmart reviews for market research, competitor product review benchmarking on walmart, and monitoring new walmart reviews over time.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Walmart, Product Reviews

> product item ID + page → paginated customer reviews from walmart.com

## Language

All process output to user (progress updates, process notifications) follows the user's language.

## Objective

Extract paginated customer reviews from a Walmart product reviews page, returning structured review data with ratings, text, author info, and metadata.

## Prerequisites

- Target reviews page is open in the browser: `https://www.walmart.com/reviews/product/{item-id}?page={page}`

## Pre-execution Checks

### 1. Tool Readiness

If browser-act has been confirmed available in the current session → skip this step.

Invoke `browser-act` via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.

## Capability Components

> This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. Its role is equivalent to copy-pasting on the user's behalf, the data is already on screen, automation merely saves time. JS code is encapsulated in Python files under the `scripts/` directory, invoked via `eval "$(python scripts/xxx.py {params})"`. `$(...)` is bash syntax; it is recommended to use the bash tool for execution.

Below are all atomic capabilities discovered and verified during the exploration phase, listed by command template with parameters. Simply invoke them as needed, no need to read `scripts/*.py` source code or re-verify. Only inspect scripts when execution fails for troubleshooting. Combine freely as needed during execution.

### DOM: extract reviews from current reviews page

Navigate to the target reviews URL first, then extract:

1. `navigate "https://www.walmart.com/reviews/product/{item-id}?page={page}"`
2. `wait stable`
3. `eval "$(python scripts/extract-reviews.py)"`

The rest: https://github.com/browser-act/skills/blob/HEAD/solutions/ecommerce/walmart-product-reviews/SKILL.md