# Walmart Scraper - Search Results, Prices, Sellers & Stock (`alaathr/walmart-scraper`) Actor

Products of any Walmart search or product link: price, was price, savings, rating, ratings count, seller, stock, delivery promises, badges and sponsored flag. Sort and filter by price, up to 25 pages per search. Residential proxy included. Pay per product.

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

## Pricing

from $1.50 / 1,000 products

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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 Scraper - Search Results, Prices, Sellers & Stock

Get the **products of any Walmart search or product link**: **price, was price and savings, rating and number of ratings, seller, stock, delivery promises, badges** (Best seller, Rollback...) and whether the result is **sponsored**, in the order Walmart shows them.

Sort and filter like on walmart.com, go through up to 25 result pages per search, and **pay per product delivered**. Walmart only answers residential IP addresses: the US residential proxy is built in and **its cost is included in the price**.

### What you get for each product

| Group | Fields |
| --- | --- |
| Product | Walmart item ID, product ID, name, brand (when shown), product type, category, image, link |
| Price | Current price, was price, savings, lowest price among options (sizes, colors), unit price, currency |
| Reputation | Average rating, number of ratings |
| Offer | Seller, sold by Walmart or not, number of other sellers, stock status |
| Search | Position, page, sponsored flag, badges, delivery promises ("Free shipping, arrives tomorrow"), total results |

### Use cases

- **Price monitoring**: track prices, discounts and stock of your products or your competitors' every day.
- **Market research**: see which brands, sellers and price points lead a search, and who pays for sponsored placement.
- **Marketplace sellers**: watch the competition on your keywords, and whether Walmart itself sells the same item.
- **Product watch lists**: paste product links to get their current price, rating, seller and stock.
- **AI agents**: give an assistant live Walmart prices through the API or the Apify MCP server.

### How to use it

1. Enter **keywords** (`air fryer`), **Walmart search links** (with any filters you set on walmart.com), or **product links** (`https://www.walmart.com/ip/...`), one per line.
2. Choose the **sort order** and, if needed, a **price range**.
3. Set **Max products per search**.
4. Click **Start**, then download the results as JSON, CSV or Excel, or read them through the API.

### Input example

```json
{
  "searches": ["air fryer", "https://www.walmart.com/search?q=tv&cat_id=3944_1060825_447913", "https://www.walmart.com/ip/17942205635"],
  "sort": "best_seller",
  "minPrice": 50,
  "maxPrice": 300,
  "maxItemsPerSearch": 100,
  "includeSponsored": true
}
```

### Output example

```json
{
  "query": "air fryer",
  "queryType": "keyword",
  "searchUrl": "https://www.walmart.com/search?q=air+fryer",
  "page": 1,
  "position": 1,
  "usItemId": "5113283415",
  "productId": "4S448MZ287YW",
  "name": "Ninja Air Fryer Pro XL 6.5-Qt, 4-in-1, Air Crisp Technology, Nonstick Crisper Plate, AF180 Black",
  "brand": null,
  "price": 98,
  "wasPrice": 109,
  "savings": 11,
  "lowestVariantPrice": 79.97,
  "unitPrice": null,
  "currency": "USD",
  "rating": 4.6,
  "reviewCount": 7456,
  "sellerName": "Walmart.com",
  "sellerId": "F55CDC31AB754BB68FE0B39041159D63",
  "soldByWalmart": true,
  "availability": "IN_STOCK",
  "inStock": true,
  "isSponsored": true,
  "badges": ["Rollback"],
  "delivery": ["Free shipping, arrives today"],
  "category": "Home/Appliances/Kitchen Appliances/Fryers/Air Fryers/Ninja Air Fryers",
  "productType": "Air Fryers",
  "imageUrl": "https://i5.walmartimages.com/seo/Ninja-Air-Fryer-Pro-XL-6-5-QT-Basket-Air-Fryer-4-in-1-Functionality-Air-Crisp-Technology-Nonstick-Black_fececc23-a965-4628-b7d4-bf9ba169e510.c49c4f561617fcc1d9843380291a6718.jpeg",
  "url": "https://www.walmart.com/ip/Ninja-Air-Fryer-Pro-XL-6-5-QT-Basket-Air-Fryer-4-in-1-Functionality-Air-Crisp-Technology-Nonstick-Black/5113283415",
  "additionalOffers": null,
  "totalResults": 2197,
  "scrapedAt": "2026-10-19T13:30:00Z"
}
```

A product link comes back with the same fields (`queryType` is `product`), read from Walmart's search for its item ID.

### Pricing

**$1.50 per 1,000 products** (pay per event), residential proxy included. Searches that fail or find nothing come back with an `error` field and are **not charged**. Use "Max products per search" and a maximum cost per run in the run options to keep full control.

#### How much does it cost to scrape Walmart?

| Run | Cost |
| --- | --- |
| 100 products of one search | $0.15 |
| 1,000 products (10 searches of 100) | $1.50 |
| 500 products checked every day for a month (15,000 products) | $22.50 a month |

Apify's free plan includes $5 of usage every month: enough for about 3,300 products a month without paying anything.

### Use it from code or from an AI agent

- **API:** start a run and fetch the dataset with the Apify API or the Python and JavaScript clients.
- **Schedules:** run it every day on your keywords or product links to build a price history.
- **AI agents:** the Actor is available as a tool through the Apify MCP server, so assistants such as Claude can look up Walmart products directly.

### More tools from this developer

| Tool | What it returns | Price |
| --- | --- | --- |
| [AliExpress Search Scraper](https://apify.com/alaathr/aliexpress-search-products) | AliExpress products for any keyword or URL: price, discount, units sold, rating, delivery | $3.00 / 1,000 products |
| [Google Ads Transparency Scraper](https://apify.com/alaathr/google-ads-transparency-scraper) | Every Google ad of an advertiser or website: format, dates shown, image, texts and link | $1.00 / 1,000 ads |
| [Google Flights Scraper](https://apify.com/alaathr/google-flights-scraper) | Every flight of a route and date with price, times, stops, layovers and CO2, plus a lowest-price calendar | $2.50 / 1,000 searches |
| [Google Hotels Scraper](https://apify.com/alaathr/google-hotels-prices) | Hotel prices for your dates in any city, with stars, ratings, address and links | $3.00 / 1,000 hotels |
| [Google Trends Scraper](https://apify.com/alaathr/google-trends-reliable) | Interest over time, by region and related queries for your own keyword list | $2.50 / 1,000 search terms |
| [Google Trends Trending Now Scraper](https://apify.com/alaathr/google-trends-trending-now) | Every trending search of a country or US state, with volume, timing, category and news | $0.80 / 1,000 trends |

### FAQ

**Which Walmart site?** walmart.com (United States). Prices and delivery promises are the ones walmart.com shows to a visitor without a ZIP code set.

**How many products per search?** Walmart shows up to 25 pages per search (about 1,000 products). Narrow a big search with a price range or a category to go further.

**Can I scrape a category page?** Walmart refuses automated visits to category pages (`/browse/...`). Search inside the category on walmart.com instead: that search link (with `cat_id`) works here, with its filters.

**Why a residential proxy?** Walmart answers a bot check to datacenter IP addresses. The US residential proxy is the default and its cost is on us, not on you: keep it.

**Are reviews included?** No individual reviews: only the average rating and the number of ratings.

**Is this an official Walmart product?** No. This Actor is not affiliated with or endorsed by Walmart. It reads the public product information walmart.com shows to any visitor and collects no personal data.

# Actor input Schema

## `searches` (type: `array`):

One per line: a keyword (air fryer), a Walmart search link (https://www.walmart.com/search?q=..., also with filters or a category), or a product link (https://www.walmart.com/ip/...).

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

Order of the results, as on walmart.com.

## `minPrice` (type: `integer`):

Only products at or above this price.

## `maxPrice` (type: `integer`):

Only products at or below this price.

## `maxItemsPerSearch` (type: `integer`):

Stop after this many products for each keyword or link. 0 means all the pages Walmart shows (up to about 1,000 products).

## `includeSponsored` (type: `boolean`):

Keep the sponsored products Walmart mixes into the results (each one is flagged with isSponsored).

## `maxConcurrency` (type: `integer`):

Searches processed at the same time.

## `maxRetries` (type: `integer`):

How many times a refused page is retried with a new session before the search is reported as failed (not charged).

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

Walmart only answers residential IP addresses: keep the default US residential proxy (its cost is included in the price per product).

## Actor input object example

```json
{
  "searches": [
    "air fryer"
  ],
  "sort": "best_match",
  "maxItemsPerSearch": 40,
  "includeSponsored": true,
  "maxConcurrency": 3,
  "maxRetries": 6,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

## `results` (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 = {
    "searches": [
        "air fryer"
    ],
    "maxItemsPerSearch": 40,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("alaathr/walmart-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 = {
    "searches": ["air fryer"],
    "maxItemsPerSearch": 40,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("alaathr/walmart-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 '{
  "searches": [
    "air fryer"
  ],
  "maxItemsPerSearch": 40,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call alaathr/walmart-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,alaathr/walmart-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/9QPm3kkzPP2CnUwXQ/builds/JSh0bQUQXJBslDlEB/openapi.json