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G2
4.7/5
Excellent
Trustpilot

Turn Walmart
into structured data

Collect Walmart.com products by keyword, category, or product URL: prices, was-prices, ratings, sellers, availability, brands, and specs, ready for retail price tracking.

01-Integration

Integrate Walmart API your way

Connect to Scrape.ly using Python, JavaScript, HTTP, cURL, OpenAPI, or MCP and start extracting Walmart data in minutes.

from scrapely_client import ScrapelyClient
client = ScrapelyClient('YOUR_TOKEN', api_url='https://api.scrape.ly')
run = client.actor('shelfbright/walmart-scraper').call(
run_input={
'search': 'air fryer',
'maxItems': 20,
}
)
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item)
02-Input & Output

Send a search or product URL, get clean product data

Pass keywords, category URLs, and product URLs into Scrape.ly. Get structured outputs with product names and brands, prices and was-prices, ratings and review counts, sellers and availability, and categories, and more.

Input
1 2 3 4
{
 "search": "air fryer",
 "maxItems": 20
}
Output
1 2 3 4 5 6 7 8 9 10 11 12
{
 "name": "Chefman 14-Quart Multifunctional Air Fryer+ with 5 Cooking Functions – Black",
 "brand": "Chefman",
 "price": 79.99,
 "wasPrice": 114.99,
 "rating": 4.3,
 "reviewCount": 392,
 "seller": "Chefman Direct",
 "availability": "In stock",
 "usItemId": "18643169048",
 "url": "https://www.walmart.com/ip/Chefman-13-Quart-Multifunctional-Air-Fryer-with-5-Cooking-Functions-Black/18643169048"
}
03-How it works

Start extracting Walmart data in four simple steps

Scrape.ly keeps the setup simple so you can move from signup to live Walmart data without wasting time on scraping infrastructure.

Step 1

Create your Scrape.ly account

Create your account and get access to ready-made APIs, scrapers, and automation tools.

Step 2

Get your Scrape.ly API token

Copy your API token from the Scrape.ly dashboard and use it to authenticate your requests.

Step 3

Connect Walmart API

Choose Python, JavaScript, HTTP, or MCP and connect Scrape.ly to your app or workflow.

Step 4

Fetch Walmart data

Send your keywords, category URLs, and product URLs, then receive clean structured data ready for analysis.

04-Why Scrape.ly

Everything you need to extract data reliably

Scrape.ly gives you ready-made APIs, proxy support, monitoring, exports, integrations, and scalable infrastructure in one platform.

Never Get Blocked

Use built-in proxy support to reduce blocks, rate limits, and failed requests.

Export Any Format

Get results in JSON, CSV, Excel, XML, HTML table, RSS, or other workflow-friendly formats.

Monitor Every Run

Track scraper status, performance, failures, retries, and outputs from one dashboard.

Built-In Integrations

Connect with webhooks, APIs, automation tools, cloud apps, and internal systems.

Scalable Infrastructure

Run small tests or high-volume extraction jobs without rebuilding your scraping stack.

Developer-Friendly

Use clean APIs, SDKs, docs, examples, and structured outputs built for real workflows.

05-AI-Ready Data

FeedWalmartdata into your tools instantly

Connect Scrape.ly with your apps, dashboards, sheets, agents, and automation workflows to turn Walmart data into action.

06-Explore APIs

More Walmart APIs on Scrape.ly

Browse ready-made Walmart scrapers and APIs available inside Scrape.ly and choose the one that fits your workflow.

//07-FAQ\\

Common questions about Walmart API

Quick answers about using Scrape.ly's Walmart API, available data, setup, and legal usage.

Got more questions?Reach out to us


Official APIs, where they exist, usually need approval, keys, or paid tiers and limit which public data you can pull. Scrape.ly's Walmart API collects the public data shown on Walmart and returns it as structured JSON, with no approval process.

G2
4.7/5
Excellent
Trustpilot

The internet is full of data.
Start owning yours.

Scrape.ly gives you the infrastructure, the tooling, and the team to extract, process, and operationalize web data at any scale. Setup takes minutes. The advantage lasts forever.

No credit card. No setup calls.