# Walmart review author index

**Use case:** 

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.

## Input

```json
{
  "startUrls": [
    "https://www.walmart.com/ip/10450114"
  ],
  "maxItems": 1,
  "maxSeconds": 160
}
```

## Output

```json
{
  "reviewId": {
    "label": "Review ID",
    "format": "string"
  },
  "itemId": {
    "label": "Item ID",
    "format": "string"
  },
  "productName": {
    "label": "Product Name",
    "format": "string"
  },
  "productUrl": {
    "label": "Product URL",
    "format": "string"
  },
  "author": {
    "label": "Author",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "reviewText": {
    "label": "Review Text",
    "format": "string"
  },
  "submittedAt": {
    "label": "Submitted At",
    "format": "string"
  },
  "sourceInput": {
    "label": "Source Input",
    "format": "string"
  },
  "route": {
    "label": "Route",
    "format": "string"
  },
  "scrapedAt": {
    "label": "Scraped At",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [Walmart Review Scraper](https://apify.com/reapx/tripadvisor-review-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/reapx/tripadvisor-review-scraper.md) to learn more, explore other use cases, and run it yourself.


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

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/reapx/tripadvisor-review-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).