# Walmart Product Monitor (price, stock, seller, variants) (`datahamster/walmart-product-monitor`) Actor

Walmart.com product data by item id, URL or keyword: price, was-price, seller and seller type, availability, rating, reviews count, brand, variants, sponsored flag; optional store number for store-level price and stock. Monitor mode for changes. Passes Walmart bot protection via Apify Web Unblocker.

- **URL**: https://apify.com/datahamster/walmart-product-monitor.md
- **Developed by:** [Viktor Dubnytskiy](https://apify.com/datahamster) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 result items

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

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).

# README

## Walmart Product Monitor (price, stock, seller, variants)

Walmart.com product data by item id, product URL or search keyword, one flat row per product, with a monitor mode that reports only price, seller or stock changes. Same schema as the Amazon Product Monitor, so cross-retailer price tracking needs no remapping.

### What you get

`id` (item id), `url`, `title`, `brand`, `price`, `currency`, `listPrice` (was price), `buyBoxSeller`, `sellerType` (INTERNAL = Walmart, EXTERNAL = marketplace seller), `fulfilledBy`, `availability`, `rating`, `reviewCount`, `variantIds[]`, `additionalOfferCount`, `image`, `sponsored` (search rows), `storeId`, `storePrice`, `storeStock` (when a store number is given), `scrapedAt`.

### Input

- `itemIds` / `urls`: product pages with full detail.
- `keywords`: search pages, 40 results per page (`searchPages`); `fetchDetailsForSearch` opens each hit for seller type, variants and offer count.
- `storeId` / `zipCode`: best-effort store or delivery context; no extra charge.
- `maxItems`; `mode: monitor` on a saved Task returns only changed products (`changedFields`, `previous`).

### Pricing

| Event | Price |
|---|---|
| result | $0.003 per product ($3 per 1,000) |
| monitor-check | $0.009 per monitor run |
| change | $0.003 per changed product |

Charged only for products actually pushed. Bot-check pages are not charged; three in a row end the run with reason `blocked`.

### Limits

- Walmart uses PerimeterX; the actor runs through Apify Web Unblocker, billed by Apify per request on top of results. Search pages return 40 products per request, so keyword mode is the cheapest way to collect many products.
- Store-level price and stock follow the store number when Walmart honours it; otherwise the national price is returned and `storeId` is echoed.
- `isPrime` and `boughtPastMonth` are Amazon-only fields and stay null here.

### Changelog

- 0.1: initial release — product and search pages, store context, monitor mode.

# Actor input Schema

## `itemIds` (type: `array`):

Walmart item ids (usItemId)

## `urls` (type: `array`):

walmart.com/ip/... URLs (item id is extracted)

## `keywords` (type: `array`):

Search queries; returns search-result rows

## `storeId` (type: `string`):

Walmart store number for store-level price/stock (best effort)

## `zipCode` (type: `string`):

Delivery zip for location-dependent pricing (best effort, no extra charge)

## `searchPages` (type: `integer`):

Pages of 40 results

## `fetchDetailsForSearch` (type: `boolean`):

Adds seller type, variants and offer count to search rows (one extra request per hit)

## `maxItems` (type: `integer`):

Stop after this many results (you are charged only for pushed items)

## `mode` (type: `string`):

scrape = full results; monitor = only new/changed items since the previous run of this task

## `monitorKey` (type: `string`):

Optional state key when not running as a saved task

## `webhookUrl` (type: `string`):

POST a change summary here in monitor mode

## `telegramBotToken` (type: `string`):

Optional: bot token for monitor-mode change summaries

## `telegramChatId` (type: `string`):

Optional: chat id that receives monitor-mode summaries

## Actor input object example

```json
{
  "itemIds": [
    "5159953210"
  ],
  "searchPages": 2,
  "fetchDetailsForSearch": false,
  "maxItems": 100,
  "mode": "scrape"
}
```

# Actor output Schema

## `results` (type: `string`):

All pushed rows (dataset, JSON)

## `resultsTable` (type: `string`):

Dataset in the Console viewer

## `runSummary` (type: `string`):

RUN\_SUMMARY record (pushed, skipped, emptyReason)

# 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 = {
    "itemIds": [
        "5159953210"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("datahamster/walmart-product-monitor").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 = { "itemIds": ["5159953210"] }

# Run the Actor and wait for it to finish
run = client.actor("datahamster/walmart-product-monitor").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 '{
  "itemIds": [
    "5159953210"
  ]
}' |
apify call datahamster/walmart-product-monitor --silent --output-dataset

```

## MCP server setup

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

```

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/3iPtijMCeDloepvTr/builds/HNcRpSir9u52iiGqD/openapi.json