Domains
Forms
Mechanism
Breaks down how the skill works and what it produces, so you can quickly judge whether it fits your scenario and value.
When a user provides a Walmart product item ID and wants customer reviews scraped from walmart.com, or mentions Walmart review analysis, sentiment mining, or competitor review benchmarking.
https://www.walmart.com/reviews/product/{item-id}?page={N} via browser-actpython scripts/extract-reviews.py to parse __NEXT_DATA__ and emit structured JSON per pagePaginated review records with rating, text, author, verified status, votes, variant, seller, and photo count — ready for export, sentiment analysis, or benchmarking.
Use Cases
A market researcher wants to understand buyer sentiment for a Walmart private-label product. They provide the item ID; the skill scrapes all review pages, returning structured ratings and texts. The researcher exports the data and runs sentiment analysis to find common complaints and strengths, guiding product improvement and marketing positioning.
A brand selling on Walmart monitors a competitor's top product. Using the competitor's item ID, the skill collects verified-purchase reviews over time, revealing variant preferences and seller fulfillment patterns. The brand benchmarks its own listings against competitor weaknesses to optimize content and capture unmet demand.
Skill Relationships
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Skill File