# Walmart Product Scraper (`yasmany.casanova/walmart-product-scraper`) Actor
Extract full Walmart US product data by product ID: price, original price, discount, rating, reviews, seller, stock, fulfillment options, images, GTIN and specifications — as clean, structured JSON.
- **URL**: https://apify.com/yasmany.casanova/walmart-product-scraper.md
- **Developed by:** [Yasmany Grijalba Casanova](https://apify.com/yasmany.casanova) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $50.00 / 1,000 results
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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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 Scraper
Get the **full details** of any Walmart product by its **product ID** — price, original price, discount, rating, reviews, seller, stock, fulfillment options (delivery / pickup / shipping), images, GTIN, and full specifications, as clean, structured JSON.
[](https://apify.com)
[](https://www.walmart.com)
---
> ℹ️ **Zero configuration**
> Provide a Walmart product ID and run it — results are ready in seconds.
---
### Quick Start
```json
{
"productId": "1205085375"
}
````
> **Tip**: The product ID is the numeric code at the end of any Walmart product URL — `walmart.com/ip/Karma-Probiotic-Water/1205085375` → `1205085375`.
***
### Features
| Feature | Description |
|---------|-------------|
| **Complete Product Data** | Price, discount, rating, reviews, seller, stock, GTIN, images |
| **Fulfillment Options** | Delivery, pickup, shipping availability and free-shipping flag |
| **Specifications** | Every spec key/value pair flattened and ready to use |
| **Full Structured Output** | Every detail in a clean, validated JSON record |
***
### Use Cases
- **E-commerce & Product Research** — Pull full catalog data for any product to enrich your own listings
- **Competitor Analysis** — Track a competitor's price, discount, seller, and stock over time
- **Price Monitoring** — Run periodically per product to detect price changes
- **Catalog Enrichment** — Fill product specs, GTIN, and imagery from a single product ID
***
### Input Parameters
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `productId` | string | — | Walmart numeric product ID (**required**) |
***
### Output Example
```json
[
{
"record_type": "product",
"product_id": "1205085375",
"sku": null,
"gtin": "851424008468",
"name": "Karma Probiotic Water, Watermelon Wild Berry, 18 fl. oz., 1 Count Bottle",
"brand": "Karma Water",
"url": "https://www.walmart.com/ip/Karma-Probiotic-Water-.../1205085375",
"price": 1.96,
"original_price": null,
"discount_percentage": null,
"currency": "USD",
"rating": null,
"review_count": null,
"in_stock": true,
"seller_name": "Walmart.com",
"delivery_available": true,
"pickup_available": true,
"shipping_available": true,
"free_shipping": false,
"image_url": "https://i5.walmartimages.com/seo/Karma-Probiotic-Water-...jpeg",
"images_count": 7,
"variants_count": 1,
"specifications": { "Flavor": "Watermelon Wild Berry", "Brand": "Karma Water", "Size": "18 OZ" },
"additional_details": { "...": "complete product data" },
"scraped_at": "2026-05-19T18:00:00.000Z"
}
]
```
**Note**: `original_price` / `discount_percentage` are included only when the product is on sale. `rating` / `review_count` are `null` for products without reviews. `sku` is `null` when the source does not expose it.
***
### Data Fields
| Field | Type | Description |
|-------|------|-------------|
| `record_type` | string | Row type: `product` for a result, `not_found` when the ID has no listing |
| `product_id` | string | The Walmart product ID |
| `sku` | string | Product SKU, when exposed by the source |
| `gtin` | string | Global Trade Item Number (barcode) |
| `name` | string | Product name |
| `brand` | string | Brand (from specifications) |
| `url` | string | Direct product page URL |
| `price` | number | Current price |
| `original_price` | number | Price before discount, when on sale |
| `discount_percentage` | number | Discount percent, when on sale |
| `currency` | string | Price currency (USD) |
| `rating` | number | Average rating |
| `review_count` | number | Number of reviews |
| `in_stock` | boolean | Availability |
| `seller_name` | string | Seller |
| `delivery_available` / `pickup_available` / `shipping_available` | boolean | Fulfillment options |
| `free_shipping` | boolean | Free shipping flag |
| `image_url` / `images_count` | string / number | Main image and total image count |
| `variants_count` | number | Number of product variants |
| `specifications` | object | Flattened spec key/value pairs |
| `additional_details` | object | Complete structured product payload |
| `scraped_at` | string | ISO 8601 timestamp (UTC) |
***
### Integrations
Use the **API** tab on the Actor page to get ready-to-use code examples in **Python**, **JavaScript**, and **cURL**, generated with the correct parameters for immediate integration.
***
### FAQ
What does a "not_found" result mean?
The product ID does not have a listing on Walmart, or is not currently available. Verify the ID in the product URL (`walmart.com/ip/.../`).
Why are some fields empty?
Fields like discount, original price, rating, and reviews are only included when Walmart publishes them for that product. `sku` is `null` when the source does not expose it.
Which marketplace does this cover?
Walmart US (`walmart.com`), with prices in USD.
***
### Support
1. **Check the FAQ** above for common questions
2. **Test with the prefilled example** to confirm expected output
3. **Contact support** through [Apify](https://apify.com) for additional assistance
# Actor input Schema
## `productId` (type: `string`):
Walmart product ID — the numeric code in the product URL (walmart.com/ip/.../1205085375 -> 1205085375).
## Actor input object example
```json
{
"productId": "1205085375"
}
```
# Actor output Schema
## `products` (type: `string`):
Walmart product details extracted by product ID (logically-ordered product fields + additional\_details with the full structured payload)
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"productId": "1205085375"
};
// Run the Actor and wait for it to finish
const run = await client.actor("yasmany.casanova/walmart-product-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "productId": "1205085375" }
# Run the Actor and wait for it to finish
run = client.actor("yasmany.casanova/walmart-product-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"productId": "1205085375"
}' |
apify call yasmany.casanova/walmart-product-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=yasmany.casanova/walmart-product-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Walmart Product Scraper",
"description": "Extract full Walmart US product data by product ID: price, original price, discount, rating, reviews, seller, stock, fulfillment options, images, GTIN and specifications — as clean, structured JSON.",
"version": "1.0",
"x-build-id": "dqqE3pH48ebXHpZSD"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/yasmany.casanova~walmart-product-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-yasmany.casanova-walmart-product-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/yasmany.casanova~walmart-product-scraper/runs": {
"post": {
"operationId": "runs-sync-yasmany.casanova-walmart-product-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/yasmany.casanova~walmart-product-scraper/run-sync": {
"post": {
"operationId": "run-sync-yasmany.casanova-walmart-product-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"productId"
],
"properties": {
"productId": {
"title": "Product ID",
"type": "string",
"description": "Walmart product ID — the numeric code in the product URL (walmart.com/ip/.../1205085375 -> 1205085375)."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```