Walmart Product Scraper

Look up any Walmart product by ID or URL and export title, price, rating, images, brand, seller, specifications, and fulfillment. One dataset row per product — ready for CSV, Excel, or JSON.

Built for Apify Console, API, MCP agents, and integrations (Make, Zapier, n8n). This Actor reads product-detail pages. It does not search Walmart or pull full review threads.

What you get

Field	Example
title	onn Protective Gel Phone Case for iPhone
productId	6454202696
url	https://www.walmart.com/ip/6454202696
price	5.97
currency	USD
rating	4.4
reviewsCount	1052
sellerName	Walmart.com
imageUrl	https://i5.walmartimages.com/seo/…jpeg

Each input is one product. That is not the same product as a search scraper, which returns many listings per keyword.

Sample output

Live row from product ID 6454202696 (walmart.com):

{
  "input": "6454202696",
  "type": "product",
  "productId": "6454202696",
  "url": "https://www.walmart.com/ip/onn-Protective-Gel-Phone-Case-for-iPhone-16e-iPhone-15-iPhone-14-iPhone-13-Black/6454202696",
  "title": "onn Protective Gel Phone Case for iPhone 17e / iPhone 16e / iPhone 15 / iPhone 14 / iPhone 13 - Black",
  "brand": "onn",
  "price": 5.97,
  "currency": "USD",
  "rating": 4.4,
  "reviewsCount": 1052,
  "sellerName": "Walmart.com",
  "gtin": "194346245321",
  "imageUrl": "https://i5.walmartimages.com/seo/onn-Protective-Gel-Phone-Case-for-iPhone-16e-iPhone-15-iPhone-14-iPhone-13-Black_d0e5e5ba-714e-4fc6-b240-c40c754fd7a2.52d3954e684cc9359bd89b6f861b7453.jpeg?odnHeight=573&odnWidth=573&odnBg=FFFFFF",
  "pickup": true,
  "delivery": true,
  "shipping": true,
  "freeShipping": false,
  "isOutOfStock": false,
  "domain": "com"
}

How to run

1. Open the Actor in Apify Console.
2. Paste product IDs or walmart.*/ip/… URLs, one per line.
3. Optional: marketplace, deliver-to ZIP, max results.
4. Click Start. Open the Output tab when the run finishes.

Example input

{
  "productIds": [
    "6454202696",
    "https://www.walmart.com/ip/6454202696"
  ],
  "domain": "com",
  "maxResults": 10
}

Duplicate IDs (including the same product as ID and URL) are fetched once.

API

curl -X POST "https://api.apify.com/v2/acts/datacortex~walmart-product-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"productIds":["6454202696"],"domain":"com"}'

Replace YOUR_TOKEN with an Apify API token.

Use with MCP / agents

This is a normal Apify Actor. Agents call it through Apify MCP — you do not run a separate MCP process.

Pin this Actor as a tool (after it is public):

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=datacortex/walmart-product-scraper"
    }
  }
}

The agent should fetch-actor-details on datacortex/walmart-product-scraper, then run it with the same JSON as Example input above. Running Actors requires an Apify token (OAuth in the client, or Authorization: Bearer <APIFY_TOKEN>).

Pricing

$5.00 per 1,000 products + $0.001 per run.

Each input is one lookup and one dataset row. That is not the same product as a search scraper ($0.50 / 1,000), which returns many rows per query.

Event	When it fires	Price
apify-actor-start	Once when the run starts	$0.001
apify-default-dataset-item	Once per dataset row (one product)	$0.005 ($5.00 / 1,000)

Job	Rows	You pay
1 product	1	$0.001 + $0.005 = $0.006
10 products	10	$0.001 + $0.050 = $0.051
100 products	100	$0.001 + $0.500 = $0.501
1,000 products	1,000	$0.001 + $5.000 = $5.001

Set a max total charge per run so a long list cannot overrun budget. The Actor stops when that limit is reached.

Input reference

Field	Required	Default	Notes
productIds	yes	—	IDs or URLs, max 1,000, duplicates skipped
domain	no	com	com, ca, com.mx, co.cr
maxResults	no	all	Hard cap across the list
deliveryZip	no	—	ZIP / postal code, e.g. 10001

Limitations

• Product-detail pages only. This Actor does not search Walmart or download full review threads.
• Prices and fulfillment flags are what Walmart showed for the chosen marketplace / ZIP.
• Unavailable or unparseable listings return an error row.
• Failed lookups write one type: "error" row so you can see which ID failed.

Local development

python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env
apify run --input-file=apify_input.json --purge

Changelog

See CHANGELOG.md.