Walmart Reviews Scraper

Walmart Reviews Scraper

Walmart Reviews Scraper is a production-ready Walmart reviews scraping tool that collects ratings and review text from Walmart product pages at scale. It solves the challenge of extracting structured customer feedback reliably from public pages, acting as a Walmart product review scraper and Walmart review extractor for marketers, developers, analysts, and researchers. Built for scale and automation, it enables teams to scrape Walmart product reviews for sentiment analysis, SEO, and competitor tracking — and download Walmart product reviews to CSV/JSON for downstream analysis.

What data / output can you get?

The actor pushes clean, structured records to the Apify dataset as it crawls. Each record represents a single review.

Data field	Description	Example value
itemType	Constant identifier for the item type	“Review”
productUrl	The Walmart product URL the review belongs to	“https://www.walmart.com/ip/Free-Assembly-Men-s-Everyday-Cotton-Tee-with-Short-Sleeves-Sizes-S-3XL/888475689?classType=VARIANT&from=/search”
rating	Star rating as an integer (1–5)	5
title	Review headline/title (nullable)	“Solid shirt”
text	Full review text	“Good shirt, I bought it to run to the store or around town. Neckline is good.”

Notes:

• Fields are streamed to the Apify dataset during the run and can be exported to JSON, CSV, or Excel from the Apify platform.
• Titles may be null if a customer didn’t provide one.

Key features

• 🚀 Robust residential proxy rotation
  Automatically initializes Apify Residential proxies and rotates sessions with retry logic to reduce blocks and keep your Walmart reviews crawler running smoothly.

• 🔎 Search URL and keyword support
  Feed the Walmart reviews scraping tool with keywords or search URLs; it will crawl search result pages, collect product URLs, and extract reviews up to your configured limits.

• 🧭 Review sorting control
  Use the sortOrder parameter to order results by relevancy, newest first, most helpful, highest rating, or lowest rating — ideal for focused Walmart review data extraction.

• 📄 Automatic pagination with limits
  The Walmart review extractor paginates through review pages and respects your maxComments limit per product for predictable, scalable runs.

• 💾 Live dataset streaming & easy exports
  Reviews are saved as they’re found via dataset.pushData. Export results in JSON/CSV/Excel or integrate via the Apify API — a practical Walmart product reviews API alternative.

• 🐍 Python-based, production-ready
  Built as a Python actor on Apify with realistic headers, controlled concurrency, and human-like delays for a stable Walmart ratings and reviews scraper.

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 in startUrls:
   • You can paste Walmart product URLs, search URLs, or plain keywords (e.g., “tshirt”).
4. Configure settings as needed:
   • sortOrder to control review ordering
   • maxComments to limit reviews per product
   • maxProductsPerStartUrl to limit products extracted from search URLs
   • skipProductsWithoutReviews to skip empty products
   • proxyConfiguration if you need to edit proxy settings (optional)
5. Start the run and monitor logs for progress.
6. When finished, open the Dataset tab to preview results.
7. Export to JSON, CSV, or Excel — or access programmatically via the Apify API for automation.

Pro tip: Use search keywords in startUrls to discover and scrape multiple relevant products automatically, then export to CSV for quick analysis.

Use cases

Use case	Description
Product feedback mining	Aggregate ratings and review text to identify themes and improve product quality and CX.
Competitor monitoring	Track competitor product reviews for strengths/weaknesses and benchmark sentiment.
SEO & content research	Extract customer language to fuel keyword strategy and on-page copy improvements.
Category trend analysis	Collect reviews across product lines to spot emerging trends and consumer needs.
Data science & NLP	Build labeled corpora for sentiment analysis and topic modeling from clean, structured review text.
API-driven pipelines	Use Apify’s dataset API to feed dashboards, ETL workflows, or analytics pipelines with fresh Walmart review data.

Why choose Walmart Reviews Scraper?

Walmart Reviews Scraper focuses on reliability, structured output, and automation to deliver consistent results at scale.

• ✅ Accurate extraction from public Walmart review pages with clean, normalized fields
• 🌐 Residential proxy rotation and retry logic for resilient, long-running jobs
• 📈 Scales from a few products to large keyword-driven collections with limits you control
• 💻 Developer-friendly via Apify datasets and APIs — ideal for Python pipelines and automation
• 🔒 No login or cookies required — scrapes publicly available review pages only
• 💾 Easy exports to CSV/JSON/Excel for quick analysis and reporting
• 🛠️ More robust than browser extensions and unstable scripts; runs server-side on Apify infrastructure

In short: a dependable Walmart reviews scraper vs. fragile alternatives, built for production workflows.

Is it legal / ethical to use Walmart Reviews Scraper?

Yes — when done responsibly. This actor accesses public, non-authenticated Walmart review pages and does not collect private or login-protected data.

Guidelines for responsible use:

• Scrape only publicly available content and respect Walmart’s Terms of Service.
• Ensure compliance with applicable data protection laws (e.g., GDPR, CCPA).
• Avoid collecting or using personal/sensitive data.
• Consult your legal team for edge cases and jurisdiction-specific requirements.

Input parameters & output format

Example JSON input

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

Parameters

Field	Type	Required	Default	Description
startUrls	array	Yes	—	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”	How to sort the reviews. 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 number of reviews to extract per product. Set to 0 for unlimited (not recommended).
maxProductsPerStartUrl	integer	No	20	Maximum number of products to process from each start URL (for search URLs). Set to 0 for unlimited.
skipProductsWithoutReviews	boolean	No	true	If enabled, products with no reviews will be skipped to speed up processing.
proxyConfiguration	object	No	{"useApifyProxy": false}	Proxy settings. By default, starts with no proxy. If Walmart blocks requests, automatically falls back to datacenter proxy, then residential proxy with retries.

Example JSON output

[
  {
    "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..."
  }
]

FAQ

Can I scrape both product pages and search results?

Yes. Provide product URLs to scrape reviews directly, or supply search URLs/keywords in startUrls and the actor will discover product pages up to maxProductsPerStartUrl.

How many reviews can I scrape per product?

Set maxComments to control how many reviews the Walmart review extractor returns per product. The allowed range is defined in the input (1–1000, with 10 as default).

Can I control the review order?

Yes. Use sortOrder with one of: relevancy, submission-desc, helpful, rating-desc, or rating-asc to control how the Walmart ratings and reviews scraper fetches reviews.

Is a proxy required to run this?

No action is required from you. The actor initializes an Apify Residential proxy by default and rotates sessions with retries to minimize blocks. A proxyConfiguration editor is available, but you don’t need to change it for most runs.

Can I download Walmart product reviews to CSV?

Yes. After the run, open the Dataset and export to CSV, JSON, or Excel. This makes it easy to download Walmart product reviews for analysis or reporting.

Is there an API alternative to a Walmart product reviews API?

Yes. Every run and dataset on Apify is accessible via API. You can integrate this Walmart product review scraper into pipelines as a Walmart product reviews API alternative.

Does this require a Walmart account or login?

No. The Walmart reviews crawler scrapes publicly available review pages without login.

Which fields are included in the output?

Each review record includes itemType, productUrl, rating, title, and text as pushed to the dataset during the run.

Does this actor support Walmart.ca?

This actor targets www.walmart.com URLs. It normalizes inputs to walmart.com and does not scrape walmart.ca.

Closing CTA / Final thoughts

Walmart Reviews Scraper is built to turn public Walmart product feedback into structured, analysis-ready data. With residential proxy rotation, search-to-product discovery, and clean JSON/CSV exports, it’s ideal for marketers, developers, analysts, and researchers. Integrate via the Apify API to automate your Walmart review data extraction pipeline and export insights to your BI tools. Start extracting smarter — and unlock customer sentiment at scale.