Walmart Reviews Scraper

Walmart Reviews Scraper

The Walmart Reviews Scraper is a fast, reliable tool that lets you scrape Walmart product reviews at scale and turn them into structured data for analysis. It solves the heavy lifting of Walmart product reviews scraping by handling pagination, sorting, and proxy management so marketers, developers, data analysts, and researchers can focus on insights. Use it as a Walmart reviews crawler tool to power sentiment analysis, product research, competitive tracking, and ecommerce reporting—then export results or access them via the Apify API for automation-ready workflows. 🚀

What data / output can you get?

Below are the exact JSON fields this Walmart review extractor saves to the Apify dataset. You can export Walmart reviews to CSV, JSON, or Excel from the dataset UI or access them programmatically via the Walmart reviews API endpoints on Apify.

Data type	Description	Example value
itemType	Record type identifier	"Review"
productUrl	Full Walmart product URL for the reviewed item	"https://walmart.com/ip/Free-Assembly-Men-s-Everyday-Cotton-Tee-with-Short-Sleeves-Sizes-S-3XL/888475689?classType=VARIANT&from=/search"
rating	Numeric star rating (1–5)	5
title	Review title (may be null)	"Solid shirt"
text	Full review text content	"Good shirt, I bought it to run to the store or around town. Neckline is good."

Notes:

• Output is pushed live to the Apify dataset during the run for immediate access.
• You can export the Walmart product reviews dataset to JSON, CSV, or Excel formats directly from Apify.

Key features

• 🔍 Boldly simple inputs, flexible targets
  Paste Walmart product URLs, search URLs, or keywords—the scraper normalizes inputs and can discover products from search pages for broad Walmart product review data extraction.

• 🔄 Automatic pagination & live saving
  The Walmart ratings scraper navigates through paginated reviews and pushes each record to the dataset immediately for real-time visibility and incremental processing.

• 🧭 Review sorting controls
  Use the Review Sort Order to fetch reviews by relevancy, newest first, most helpful, highest rating first, or lowest rating first—ideal for targeted Walmart ratings and reviews scraping.

• 🧪 Smart, defensive crawling
  Built-in delays, retries, and resilient error handling help you scrape Walmart product reviews reliably at scale without micromanaging requests.

• 🕵️ Proxy strategy for reliability
  Designed to use Apify residential proxies with fallback logic and retries to reduce blocking, making it a robust Walmart review scraping service alternative to brittle scripts.

• 🧩 Developer-friendly & automation-ready
  Every run is accessible via the Apify API. Integrate with your data pipelines, use it as a Walmart reviews API, or call it from your Walmart product review scraper Python workflows.

• 💾 Structured exports
  Clean, predictable JSON schema for easy downstream use in BI, dashboards, notebooks, or data science pipelines—and one-click export Walmart reviews to CSV or Excel.

How to use Walmart Reviews Scraper - step by step

1. Create or log in to your Apify account.
2. Open the Walmart Reviews Scraper actor in the Apify Store.
3. Add input data in startUrls:
   • Accepts Walmart product URLs, search URLs (e.g., https://walmart.com/search?q=tshirt), or plain keywords (e.g., "tshirt").
4. Configure key settings (optional):
   • sortOrder to control review order.
   • maxComments to set how many reviews per product to collect.
   • maxProductsPerStartUrl to cap products discovered from search pages.
   • skipProductsWithoutReviews to skip empty products and save time.
   • proxyConfiguration if you need custom proxy settings.
5. Start the run. The Walmart customer reviews scraper will fetch product pages, follow pagination, and push results live to the dataset.
6. Monitor progress in the run console. Logs show collected products and reviews, with smart pacing built-in.
7. Download your results: Export the dataset as JSON, CSV, or Excel—or connect via the Apify API for programmatic consumption.

Pro tip: Automate end-to-end pipelines by calling this Walmart product reviews scraper online from your backend, Make.com, Zapier, or your Walmart product review scraper Python scripts using the Apify API.

Use cases

Use case name	Description
Ecommerce analytics + sentiment	Aggregate ratings and review text to analyze sentiment, surface themes, and track changes over time for product and category strategy.
SEO & keyword mining	Mine review language to identify long-tail keywords, questions, and modifiers to fuel landing pages and content planning.
Competitor benchmarking	Compare star ratings and qualitative feedback across competing SKUs for actionable Walmart product review data extraction.
Product research & QA	Identify recurring issues, feature requests, and defects directly from customer feedback to guide iteration cycles.
Data science & NLP modeling	Build labeled corpora from the Walmart product reviews dataset for sentiment, topic modeling, and embeddings.
API pipelines & dashboards	Treat the actor as a Walmart reviews API source and feed outputs into BI tools, data warehouses, or notebooks.
Marketplace monitoring	Track changes in rating trends and review velocity on popular SKUs to inform pricing, inventory, and promotions.

Why choose Walmart Reviews Scraper?

Built for precision and reliability, this production-ready Walmart reviews crawler tool combines resilient proxy strategy, smart pacing, and structured outputs to simplify large-scale analysis.

• ✅ Accurate, structured JSON output with a stable schema
• 🔄 Automatic pagination, sorting, and live dataset push for smooth runs
• 🧠 Handles keywords, search URLs, and direct product URLs to scale quickly
• 🧩 API-first: easy to integrate with internal systems or Walmart product review scraper Python workflows
• 🛡️ Robust proxy strategy and retry logic to reduce blocks vs. fragile scripts or extensions
• 💸 Export Walmart reviews to CSV/JSON/Excel without extra code
• 🧰 Built on Apify infrastructure for reliability and automation

In short: A production-grade Walmart product reviews scraper online that outperforms copy-paste tools and unstable browser-based alternatives.

Is it legal / ethical to use Walmart Reviews Scraper?

Yes—when used responsibly. This actor is designed to access publicly available product reviews and does not log in or collect private data.

Guidelines for compliant use:

• Scrape only public, non-authenticated content.
• Review and respect Walmart’s Terms of Service.
• Comply with applicable data protection laws (e.g., GDPR, CCPA).
• Use scraped data responsibly for analysis, research, or internal insights.
• Consult your legal team if you have edge cases or compliance questions.

Input parameters & output format

Example input JSON

{
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "skipProductsWithoutReviews": true,
  "startUrls": [
    "https://walmart.com/search?q=tshirt"
  ],
  "sortOrder": "relevancy",
  "maxComments": 10,
  "maxProductsPerStartUrl": 20
}

Parameters

Parameter	Type	Required	Default	Description
startUrls	array	Yes	—	Walmart URLs, Keywords, or Search Terms. List of Walmart product URLs (e.g., https://www.walmart.com/ip/product-name/123456), search URLs (e.g., https://walmart.com/search?q=tshirt), or keywords (e.g., tshirt). Supports bulk input.
sortOrder	string (enum)	No	"relevancy"	Review Sort Order. Options: relevancy (most relevant), submission-desc (newest first), helpful (most helpful), rating-desc (highest rating first), rating-asc (lowest rating first).
maxComments	integer	No	10	Maximum Reviews Per Product. Maximum number of reviews to extract per product. Set to 0 for unlimited (not recommended).
maxProductsPerStartUrl	integer	No	20	Maximum Products Per Start URL. Maximum number of products to process from each start URL (for search URLs). Set to 0 for unlimited.
skipProductsWithoutReviews	boolean	No	true	Skip Products Without Reviews. If enabled, products with no reviews will be skipped to speed up processing.
proxyConfiguration	object	No	{ "useApifyProxy": false }	Proxy Configuration. Proxy settings. By default, starts with no proxy. If Walmart blocks requests, automatically falls back to datacenter proxy, then residential proxy with retries.

Example output JSON

[
  {
    "itemType": "Review",
    "productUrl": "https://walmart.com/ip/Free-Assembly-Men-s-Everyday-Cotton-Tee-with-Short-Sleeves-Sizes-S-3XL/888475689?classType=VARIANT&from=/search",
    "rating": 5,
    "title": "Solid shirt",
    "text": "Good shirt, I bought it to run to the store or around town. Neckline is good."
  },
  {
    "itemType": "Review",
    "productUrl": "https://walmart.com/ip/Free-Assembly-Men-s-Everyday-Cotton-Tee-with-Short-Sleeves-Sizes-S-3XL/888475689?classType=VARIANT&from=/search",
    "rating": 4,
    "title": "Good basic tee",
    "text": "Nice basic tee for the price. Bought to wear under sweaters and jackets..."
  },
  {
    "itemType": "Review",
    "productUrl": "https://walmart.com/ip/Free-Assembly-Men-s-Everyday-Cotton-Tee-with-Short-Sleeves-Sizes-S-3XL/888475689?classType=VARIANT&from=/search",
    "rating": 5,
    "title": null,
    "text": "These are high quality t-shirts. My husband loves them and they are 100% cotton..."
  }
]

Notes:

• title may be null when a reviewer didn’t provide one.
• Fields are pushed live as each page is processed for prompt access.

FAQ

Can I scrape both Walmart.com and Walmart.ca?

The scraper targets public product and review pages on www.walmart.com. It normalizes inputs to Walmart.com URLs; results on other regional domains like Walmart.ca are not guaranteed.

Is this Walmart Reviews Scraper free?

The actor is a paid tool with a flat monthly price and includes trial minutes to test it. You can also run it within your Apify plan and export data as needed.

Do I need to log in or use cookies?

No. The Walmart customer reviews scraper works on publicly available pages and does not require login or cookies.

How many reviews can I scrape per product?

Use maxComments to control volume. You can set a limit between 1 and 1000 per product. Combine with sortOrder to prioritize relevant or recent reviews.

What data fields are included in the output?

Each record contains itemType, productUrl, rating, title, and text. This structured Walmart product reviews dataset is ideal for analysis and dashboards.

Can I filter reviews by rating or verified purchase?

Not at this time. You can control the sort order (relevancy, newest, helpful, highest, lowest) via sortOrder to emphasize the reviews you care about.

Can I export Walmart reviews to CSV?

Yes. After the run, open the dataset in Apify and export to CSV, JSON, or Excel. You can also access the dataset via the Apify API for automation.

Does it support API or Python integrations?

Yes. Every run is accessible via the Apify API. You can integrate this Walmart product review scraper Python-side using HTTP requests or the Apify SDKs, or connect it to Make.com/n8n workflows.

Does it scrape seller or marketplace store reviews?

This tool focuses on product reviews. It does not scrape seller/store feedback pages.

How does the scraper handle blocking or rate limits?

It uses a defensive crawling strategy with delays, retries, and a robust proxy approach to reduce blocks, helping you scrape Walmart product reviews more reliably.

Final thoughts

Walmart Reviews Scraper is built to turn Walmart customer feedback into structured, analysis-ready data. With simple inputs, smart pagination, resilient proxy handling, and clean JSON output, it’s ideal for marketers, analysts, developers, and researchers alike. Export Walmart reviews to CSV for quick reports or plug the Apify API into your pipelines to build a dependable Walmart reviews API workflow. Start extracting smarter and transform review data into actionable insights.