# Build a source-linked Walmart review corpus

**Use case:** 

Collect Walmart review text, ratings, and metadata into a structured corpus for research and evidence-backed analysis.

## Input

```json
{
  "mode": "itemIds",
  "searchQuery": "instant pot duo 7-in-1",
  "itemIds": [
    "1820546583",
    "443574791"
  ],
  "maxProducts": 1,
  "maxReviewsPerProduct": 10,
  "sortReviews": "mostRecent",
  "ratingFilter": "all",
  "includeProductSummary": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

## Output

```json
{
  "itemId": {
    "label": "Item ID",
    "format": "string"
  },
  "productName": {
    "label": "Product",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "text": {
    "label": "Review text",
    "format": "string"
  },
  "author": {
    "label": "Author",
    "format": "string"
  },
  "verifiedPurchaser": {
    "label": "Verified",
    "format": "boolean"
  },
  "helpfulVotes": {
    "label": "Helpful",
    "format": "number"
  },
  "submittedAt": {
    "label": "Submitted",
    "format": "string"
  },
  "reviewSource": {
    "label": "Source",
    "format": "string"
  },
  "productUrl": {
    "label": "Product",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Walmart Reviews Scraper - All Reviews by URL, ID or Keyword](https://apify.com/khadinakbar/walmart-reviews-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/khadinakbar/walmart-reviews-scraper) to learn more, explore other use cases, and run it yourself.


## 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.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
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- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/khadinakbar/walmart-reviews-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).