# Walmart Reviews Scraper (`fetch_cat/walmart-reviews-scraper`) Actor

Export public Walmart US and Canada product reviews, ratings, dates, reviewer labels, media, and product provenance.

- **URL**: https://apify.com/fetch\_cat/walmart-reviews-scraper.md
- **Developed by:** [Hanna Nosova](https://apify.com/fetch_cat) (community)
- **Categories:** E-commerce, Marketing, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.45 / 1,000 reviews

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Walmart Reviews Scraper

Export public product reviews from Walmart US and Walmart Canada to CSV, JSON, Excel, or API-ready datasets. Built for recurring sentiment monitoring, product-quality research, seller intelligence, and competitor comparison.

### Buyer workflows

- Monitor the newest reviews for a known product.
- Analyze Canadian product feedback and aggregate ratings.
- Investigate one-star complaints with rating and newest-first filters.

### Input

Supply specific `productUrls`, numeric `productIds`, or both. Select `country` (`US` or `CA`), `maxReviewsPerProduct`, `sort`, optional 1–5 `rating`, and `includeReviewMedia`. URL markets must match `country`; malformed and cross-market inputs fail before scraping.

```json
{"productUrls":["https://www.walmart.com/ip/771934678"],"country":"US","maxReviewsPerProduct":100,"sort":"newest","includeReviewMedia":true}
```

### Output

Each row represents one public review with product identity and provenance, rating, title, text, date, public reviewer display fields, purchase-verification/helpfulness signals, optional media URLs, and available product rating aggregates. Missing upstream fields are omitted. Products with no public reviews emit no fabricated placeholder rows; `RUN_STATS` reports empty and blocked products truthfully.

### Pricing

The Actor charges one start event per run and one review event for each public review produced. Limits directly bound runtime and spend. See the live [Pricing tab](https://apify.com/fetch_cat/walmart-reviews-scraper/pricing) for current rates.

### API and MCP

Run the Actor from Apify Console, API, schedules, integrations, or MCP. Send the same JSON input to the Actor run endpoint and read rows from the default dataset. Use webhooks or schedules for recurring monitoring.

### Input recipes

Copy a recipe into the Actor input editor and replace the product URL when needed.

#### Monitor latest Walmart US reviews

```json
{"productUrls":["https://www.walmart.com/ip/771934678"],"country":"US","maxReviewsPerProduct":100,"sort":"newest","includeReviewMedia":true}
```

#### Analyze Walmart Canada product reviews

```json
{"productUrls":["https://www.walmart.ca/ip/6000206618756"],"country":"CA","maxReviewsPerProduct":250,"sort":"relevant","includeReviewMedia":true}
```

#### Investigate low-star Walmart feedback

```json
{"productUrls":["https://www.walmart.com/ip/771934678"],"country":"US","maxReviewsPerProduct":100,"sort":"newest","rating":1,"includeReviewMedia":true}
```

### Privacy and support

The Actor uses anonymous public Walmart surfaces only. It does not access accounts, orders, private reviewer data, or reviewer profiles. Walmart may challenge anonymous traffic; blocked products are reported instead of being mislabeled as products with no reviews. For support, open an issue on the Actor page with the public product URL, market, and run ID; never include credentials or private customer information.

### Related Actors

- [Walmart Products Scraper](https://apify.com/fetch_cat/walmart-products-scraper) — find Walmart products before collecting their reviews.
- [Amazon Reviews Scraper](https://apify.com/fetch_cat/amazon-reviews-scraper) — compare public customer feedback across marketplaces.
- [Target Reviews Scraper](https://apify.com/fetch_cat/target-reviews-scraper) — export public Target product reviews.
- [eBay Marketplace Scraper](https://apify.com/fetch_cat/ebay-marketplace-scraper) — collect marketplace listings for competitive research.
- [Amazon Products & Search Scraper](https://apify.com/fetch_cat/amazon-products-search-scraper) — discover Amazon products and search results.

# Changelog

This Actor's version history is a separate document: https://apify.com/fetch\_cat/walmart-reviews-scraper/changelog.md

# Actor input Schema

## `productUrls` (type: `array`):

Public walmart.com or walmart.ca product URLs.

## `productIds` (type: `array`):

Numeric Walmart product IDs in the selected country.

## `country` (type: `string`):

Walmart market that must match every supplied product URL or ID.

## `maxReviewsPerProduct` (type: `integer`):

Maximum number of public review rows to emit for each selected product.

## `sort` (type: `string`):

Requested public review ordering; deterministic local ordering is used when needed.

## `rating` (type: `integer`):

Optional star rating from 1 to 5.

## `includeReviewMedia` (type: `boolean`):

Include public review image and video URLs when Walmart exposes them.

## `proxyConfiguration` (type: `object`):

Optional proxy for public-page access.

## Actor input object example

```json
{
  "productUrls": [],
  "productIds": [
    "6000205574171"
  ],
  "country": "CA",
  "maxReviewsPerProduct": 15,
  "sort": "relevant",
  "includeReviewMedia": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `runStats` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "productUrls": [],
    "productIds": [
        "6000205574171"
    ],
    "country": "CA",
    "maxReviewsPerProduct": 15,
    "sort": "relevant",
    "includeReviewMedia": false,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("fetch_cat/walmart-reviews-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "productUrls": [],
    "productIds": ["6000205574171"],
    "country": "CA",
    "maxReviewsPerProduct": 15,
    "sort": "relevant",
    "includeReviewMedia": False,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("fetch_cat/walmart-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "productUrls": [],
  "productIds": [
    "6000205574171"
  ],
  "country": "CA",
  "maxReviewsPerProduct": 15,
  "sort": "relevant",
  "includeReviewMedia": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call fetch_cat/walmart-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fetch_cat/walmart-reviews-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Lyl3z4tvzjFfftJ4J/builds/baAQ10WXpVY86c4MT/openapi.json