Walmart Search Scraper

Search Walmart by keyword and export product ID, title, price, rating, seller, fulfillment flags, thumbnail, and product URL. One dataset row per listing — ready for CSV, Excel, or JSON.

Built for Apify Console, API, MCP agents, and integrations (Make, Zapier, n8n). This Actor searches Walmart. It does not open product-detail pages or pull reviews.

What you get

Field	Example
title	OtterBox Defender Series Case for iPhone
productId	833623567
url	https://www.walmart.com/ip/833623567
price	31.95
rating	4.6
reviewsCount	428
isSponsored	false
shipping	true
thumbnailUrl	https://i5.walmartimages.com/seo/…jpeg

One keyword on page 1 typically returns ~20–40 listings. Extra pages add more rows.

How to run

1. Open the Actor in Apify Console.
2. Enter one search phrase per line under Search keywords.
3. Optional: marketplace, pages, sort, deliver-to ZIP, fulfillment, max results.
4. Click Start. Open the Output tab when the run finishes.

Example input

{
  "keywords": ["iphone case"],
  "domain": "com",
  "pages": 1,
  "maxResults": 20,
  "sortBy": "best_match"
}

API

curl -X POST "https://api.apify.com/v2/acts/datacortex~walmart-search-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords":["iphone case"],"domain":"com","pages":1}'

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-search-scraper"
    }
  }
}

The agent should fetch-actor-details on datacortex/walmart-search-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

$0.50 per 1,000 results + $0.001 per run.

Event	When it fires	Price
apify-actor-start	Once when the run starts	$0.001
apify-default-dataset-item	Once per dataset row (one listing)	$0.0005 ($0.50 / 1,000)

Job	Rows	You pay
1 keyword, 1 page (~20)	20	$0.001 + $0.010 = $0.011
10 keywords, 1 page	~200	$0.001 + $0.100 = $0.101
1 keyword, ~700 listings	700	$0.001 + $0.350 = $0.351

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

Input reference

Field	Required	Default	Notes
keywords	yes	—	One phrase per line, max 1,000
domain	no	com	com, ca, com.mx, co.cr
pages	no	1	1–10 result pages per keyword
maxResults	no	all	Hard cap across every keyword
sortBy	no	best match	Best match, price, best seller
deliveryZip	no	—	ZIP / postal code, e.g. 10001
fulfillmentType	no	—	pickup, delivery, or shipping

Limitations

• Search-result cards only. This Actor does not fetch full product details or customer reviews.
• Prices and fulfillment flags are what Walmart showed for the chosen marketplace / ZIP.
• Duplicate product IDs across pages are kept once.
• Failed keywords write one type: "error" row so you can see which term 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.