# SerpApi publishes guide on scraping Walmart product reviews with its dedicated API

> SerpApi released a tutorial showing how to use its Walmart Product Reviews API to extract ratings, review text, feedback counts, and reviewer details in structured JSON and export to CSV.

- Canonical: https://extractfeed.io/story/serpapi-publishes-guide-on-scraping-walmart-product-reviews-b3a3b9a/
- JSON: https://extractfeed.io/api/v1/stories/serpapi-publishes-guide-on-scraping-walmart-product-reviews-b3a3b9a.json
- Beat: Extraction & Parsing · Evidence: Primary source · Type/significance: analysis/2 · First seen: 2026-09-05T14:58:48.658992+00:00 · Updated: 2026-09-05T14:58:48.658992+00:00 · Edition: 2026-09-06
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## Briefing
- SerpApi: SerpApi released a tutorial showing how to use its Walmart Product Reviews API to extract ratings, review text, feedback counts, and reviewer details in structured JSON and export to CSV.

## Why it matters
Walmart is a major e-commerce data source, and product reviews are high-value signals for pricing, sentiment, and competitive analysis. By offering a dedicated API and a clear walkthrough, SerpApi lowers the barrier for developers who need structured review data without building custom scrapers or managing Walmart's anti-bot protections. This tutorial also signals SerpApi's continued investment in retailer-specific endpoints beyond general search.

## Sources
- Primary source · SerpApi · 2026-08-30 — [How to Scrape Walmart Reviews Results](https://serpapi.com/blog/how-to-scrape-walmart-reviews-results/)

## Watch next
Will SerpApi add similar dedicated review endpoints for other major retailers like Amazon or Target?

Topics: SerpApi, Walmart, walmart, product-reviews, api, python, e-commerce, data-extraction

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