Walmart.com Product Search & Price Filter Scraper: MCP config, n8n workflow and API

{
  "mode": "search",
  "searchQueries": [
    "iphone case"
  ],
  "maxItems": 3,
  "maxPages": 1,
  "sortBy": "best_match",
  "freeShippingOnly": false,
  "excludeOutOfStock": true,
  "excludeSponsored": false,
  "enrichDetails": false,
  "maxConcurrency": 4,
  "maxReviews": 5,
  "reviewSort": "relevancy"
}

---
name: walmart-com-product-search-and-price-filter
description: "Walmart.com products from keyword search, category browse or product pages (price, rating, reviews, brand, seller, stock, shipping, UPC, specifications, images), plus customer review rows from review mode. Runs the Apify Actor vexaloom-labs/walmart-com-product-search-and-price-filter. Use when the user needs Walmart data with fields such as name, price, rating, reviewCount, brand, sellerName and an Apify token is available."
compatibility: "Needs network access, curl, and an APIFY_TOKEN environment variable. Runs are billed to the token owner's Apify account."
metadata:
  actor: "vexaloom-labs/walmart-com-product-search-and-price-filter"
  store-url: "https://apify.com/vexaloom-labs/walmart-com-product-search-and-price-filter"
---

# Walmart.com Product Search & Price Filter Scraper

Use this skill to fetch Walmart data with the Apify Actor `vexaloom-labs/walmart-com-product-search-and-price-filter` and work with the returned rows.

## Before running

1. Check that `APIFY_TOKEN` is set in the environment. Never print it or write it to a file.
2. Build `input.json` from the user's request using the fields below. Keep limits small for a first run.
3. Confirm the search terms or URLs with the user if the request is ambiguous.

## Input fields

| Field | Type | Meaning |
| --- | --- | --- |
| `mode` | one of `search`, `browse`, `products`, `reviews` | What to scrape: keyword search, a category shelf, full product pages, or customer reviews. |
| `searchQueries` | array | One or more keywords to search on walmart.com (mode = search). Each query is walked page by page. |
| `maxItems` | integer | Hard cap on emitted records for the whole run. In review mode this caps review rows. |
| `maxPages` | integer | Maximum search or category pages to walk per query/URL (about 40 products per page). Walmart caps its own listing at 25 pages. |
| `sortBy` | one of `best_match`, `price_low`, `price_high`, `best_seller`, `rating_high`, `new` | Walmart listing order for search and browse modes. |
| `freeShippingOnly` | boolean | Only keep products with free shipping. Search/browse rows are automatically enriched from product pages so this filter is accurate. |
| `excludeOutOfStock` | boolean | Drop products Walmart marks out of stock. |
| `excludeSponsored` | boolean | Drop paid/sponsored placements and keep organic search results only. |
| `enrichDetails` | boolean | Open each search/browse product page to add brand, UPC, model, description, specifications, images, return policy and review breakdown. Slower and uses more requests. |
| `maxConcurrency` | integer | How many product or review pages to fetch at the same time (1-10). Higher is faster but more aggressive. |
| `maxReviews` | integer | Maximum customer reviews to read per product in review mode. Walmart only publishes reviews that contain text. |
| `reviewSort` | one of `relevancy`, `submission-desc`, `submission-asc`, `rating-desc`, `rating-asc`, `helpful-desc` | How Walmart should order customer reviews. |

Example `input.json` (the Actor's published prefill):

```json
{
  "mode": "search",
  "searchQueries": [
    "iphone case"
  ],
  "maxItems": 3,
  "maxPages": 1,
  "sortBy": "best_match",
  "freeShippingOnly": false,
  "excludeOutOfStock": true,
  "excludeSponsored": false,
  "enrichDetails": false,
  "maxConcurrency": 4,
  "maxReviews": 5,
  "reviewSort": "relevancy"
}
```

## Run

```bash
curl -sS -X POST "https://api.apify.com/v2/acts/vexaloom-labs~walmart-com-product-search-and-price-filter/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d @input.json > results.json
```

The call waits for the run to finish and returns the dataset items as a JSON array. If the run needs more than 300 seconds the API answers with HTTP 408; then start the run with `POST /v2/acts/vexaloom-labs~walmart-com-product-search-and-price-filter/runs`, poll `GET /v2/actor-runs/{runId}` until `SUCCEEDED`, and read `GET /v2/datasets/{defaultDatasetId}/items`.

## Output

Each item is one record. Published fields include: `name`, `price`, `rating`, `reviewCount`, `brand`, `sellerName`, `availability`, `productUrl`, `scrapedAt`, `productName`, `title`, `reviewText`, `author`, `reviewDate`, `verifiedPurchase`.

Summarise what was found, cite the record URLs when present, and say how many items came back. Do not invent values for empty fields.