Walmart Review Scraper

Read Walmart reviews as a market-wide corpus. From Walmart review or listing URLs, each record keeps its source context alongside review identifiers, review text, product names, authors, and titles.

The record

The dataset schema names every field before the run. The first working set is reviewId, itemId, productName, productUrl, author, title, reviewText, submittedAt, sourceInput, route, scrapedAt, and rating. Dataset views keep related fields together without changing the underlying row.

Captured row

{
  "rating": 5,
  "itemId": "10450114",
  "reviewId": "405579902"
}

Input

Walmart Review Scraper accepts source URLs. Run controls stay in the same form.

Field	What it controls	Starting value
startUrls	Paste exact Walmart URLs, one per line.	["https://www.walmart.com/ip/10450114"]
maxItems	Stop after this many dataset rows.	12
maxSeconds	Stop after this many seconds and keep completed rows.	240

Example input

{
  "startUrls": [
    "https://www.walmart.com/ip/10450114"
  ],
  "maxItems": 1,
  "maxSeconds": 120
}

Price

$3.99 per 1,000 reviews on the Free plan. Other Apify plans use the rates shown in the Pricing tab.

Console, API, schedules, and exports

Runs can begin in Apify Console, from a saved task, or through the Actor API. A schedule can reuse the same input. Completed rows remain in the run dataset for API retrieval and Apify dataset exports.

POST https://api.apify.com/v2/acts/CvTJyWHKEl7MzEQX3/runs
GET  https://api.apify.com/v2/datasets/{datasetId}/items

Saved tasks

Twenty task pages cover distinct research, comparison, operations, automation, and export jobs. The opening set is:

• Walmart review thread sample: Review one Walmart record around title, itemId, rating, and reviewText. The saved task uses startUrls, maxItems, and maxSeconds and opens the overview view. Configured in Walmart Review Scraper.
• Walmart review response comparison: Compare Walmart reviews using rating, itemId, productName, and productUrl. The identity view keeps the differences close together. Configured in Walmart Review Scraper.
• Walmart review source list: Process a saved Walmart input queue with startUrls, maxItems, and maxSeconds. Source and identifier fields remain visible in the source view. Configured in Walmart Review Scraper.
• Walmart review author index: Index Walmart reviews by title, productUrl, author, and reviewText. The saved input keeps the same matching keys from run to run. Configured in Walmart Review Scraper.
• Walmart review response register: Assemble a focused Walmart register centered on reviewId, itemId, productName, and productUrl. The task keeps startUrls, maxItems, and maxSeconds visible for later review. Configured in Walmart Review Scraper.
• Walmart review engagement benchmark: Compare numeric and status fields across Walmart reviews, led by rating, title, reviewId, and itemId. Results open as the identity table. Configured in Walmart Review Scraper.

Related products

• Walmart Product Scraper
• Shopify Rating Scraper
• AliExpress Rating Scraper
• Amazon Rating Scraper
• Google Maps Review Scraper

Support

Include the Actor ID, run ID, saved task name, and affected input when reporting an issue. That is enough to locate the run and its dataset.