Walmart Reviews Scraper

Extract structured customer reviews from Walmart product review pages using a product URL or product ID. Collect ratings, review text, reviewer metadata, and product-level summary signals in a clean dataset ready for analysis, monitoring, and reporting.

Features

• Flexible input - Start with a Walmart review URL, product URL, product ID, or other URL fields (startUrl, url, startUrls).
• Paginated collection - Automatically walks review pages until your limits are reached.
• Configurable sorting - Pull most relevant, most helpful, newest, oldest, highest-rated, or lowest-rated reviews.
• Clean dataset output - Removes empty values and keeps records consistent for downstream use.
• Production-oriented limits - Control both results_wanted and max_pages for reliable run time.

Use Cases

Product Research

Review real customer feedback before sourcing products or launching campaigns. Spot recurring praise and complaints quickly.

Reputation Monitoring

Track how customer sentiment changes over time for your own catalog or competitor products.

Merchandising Insights

Identify feature-level pain points and strengths from review text and star ratings.

Data Pipelines

Export review datasets to BI tools, warehouses, or spreadsheets for ongoing analysis.

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Input Parameters

Parameter	Type	Required	Default	Description
productUrl	String	No	https://www.walmart.com/reviews/product/18023573301?entryPoint=viewAllReviewsBottom	Walmart product/review URL.
productId	String	No	18023573301	Numeric Walmart product ID.
sort	String	No	relevancy	Review order: relevancy, helpful, submission-desc, submission-asc, rating-desc, rating-asc.
results_wanted	Integer	No	20	Maximum number of reviews to collect.
max_pages	Integer	No	10	Maximum number of review pages to fetch.
proxyConfiguration	Object	No	Not set	Optional proxy options for reliability. Enable Apify Proxy when you need more anti-blocking stability.

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Output Data

Each dataset item includes product-level and review-level fields.

Field	Type	Description
productId	String	Walmart product ID.
productName	String	Product title.
productUrl	String	Walmart review page URL.
canonicalProductUrl	String	Canonical Walmart product URL when available.
reviewId	String	Unique review identifier.
reviewReferenceId	String	Review reference token.
reviewTitle	String	Review headline.
reviewText	String	Full review text.
rating	Number	Star rating value.
recommended	Boolean	Whether reviewer recommends the product.
reviewSubmissionTime	String	Submission date string from source.
userNickname	String	Reviewer display name when available.
userLocation	String	Reviewer location.
positiveFeedback	Number	Helpful/upvote count.
negativeFeedback	Number	Unhelpful/downvote count.
mediaUrls	Array	List of review image/media URLs.
averageOverallRating	Number	Product average rating.
totalReviewCount	Number	Total review count for product.
filteredReviewsCount	Number	Filtered review count under current view.
currentPage	Number	Source page number for the review item.

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Usage Examples

Basic Run With Product URL

{
  "productUrl": "https://www.walmart.com/reviews/product/18023573301?entryPoint=viewAllReviewsBottom",
  "results_wanted": 20
}

Run With Product ID

{
  "productId": "18023573301",
  "results_wanted": 50,
  "max_pages": 10
}

Sorted Reviews With Proxy

{
  "productUrl": "https://www.walmart.com/reviews/product/18023573301?entryPoint=viewAllReviewsBottom",
  "sort": "rating-desc",
  "results_wanted": 100,
  "max_pages": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Sample Output

{
  "productId": "18023573301",
  "productName": "Free Assembly Women's and Women's Plus Sleeveless Belted Cotton Midi Dress, Sizes XS-4X",
  "productUrl": "https://www.walmart.com/reviews/product/18023573301?entryPoint=viewAllReviewsBottom",
  "reviewId": "417671463",
  "reviewReferenceId": "9c6dc3b4-a217-5833-91db-ba1e422e0a1a",
  "reviewTitle": "Beautiful 100% cotton dress",
  "reviewText": "This dress is 100% cotton...",
  "rating": 5,
  "recommended": true,
  "reviewSubmissionTime": "2/25/2026",
  "userLocation": "Florida",
  "positiveFeedback": 12,
  "negativeFeedback": 1,
  "mediaUrls": [
    "https://i5.walmartimages.com/dfw/...jpg"
  ],
  "averageOverallRating": 4.3,
  "totalReviewCount": 355,
  "filteredReviewsCount": 51,
  "currentPage": 1
}

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Tips For Best Results

Start Small First

• Begin with results_wanted: 20 to validate your input quickly.
• Increase limits after confirming output quality.

Use Reliable Inputs

• Prefer direct review URLs or numeric product IDs.
• If using URL inputs, include a Walmart product/review URL with any query tags.

Tune Pagination

• Increase max_pages only when needed.
• Keep results_wanted aligned with your analysis scope.

Use Proxy For Stability

• Keep useApifyProxy: true for automatic Apify proxy rotation.
• For strict targets, set apifyProxyGroups to ["RESIDENTIAL"].

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Integrations

Connect your dataset with:

• Google Sheets - Share review datasets with non-technical teams.
• Airtable - Build searchable feedback repositories.
• Make - Trigger automations from new review runs.
• Zapier - Route review data to downstream apps.
• Webhooks - Push results into custom services.

Export Formats

• JSON - API and engineering workflows.
• CSV - Spreadsheet workflows.
• Excel - Business reporting.
• XML - Legacy integrations.

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Frequently Asked Questions

Can I scrape by product ID only?

Yes. Provide productId and the actor will resolve the review page automatically.

Does this support pagination?

Yes. The actor paginates review pages up to max_pages and stops early when results_wanted is reached.

Can I control review order?

Yes. Use sort to choose relevancy, helpfulness, recency, or rating-based ordering.

Why are some fields missing in some reviews?

Not all reviewers provide every field (for example location or media), so only available values are saved.

Can I run this on multiple products?

Run the actor separately per product input for clean, product-specific datasets.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Scheduling Runs

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Legal Notice

This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with website terms of service and applicable laws, and for using collected data responsibly.