Go to example tasks

Walmart example run

A ready-to-run example for Walmart Scraper — Products, Prices & Reviews. It starts with a small working input; change searchTerms, maxItems, maxPagesPerSearch to your own values and run. Results come as JSON, CSV or Excel, and you pay only for the results you get.

Try for free
Walmart Scraper — Products, Prices & Reviews
Walmart Scraper — Products, Prices & Reviewstortuga/walmart-scraper
Image
Name
Price
Was
+14 fields
Text
Number
Boolean
List
Object

Input

Search terms:headphones
Max items:40
Max pages per search:1

Output fields

Image
Name
Price
Was
Savings
Unit price
Rating
Reviews
Brand
Seller
Availability
Sponsored
Badges
Position
Page
Search term
Item ID
URL

How it works

Sign up on Apify or log in

The Walmart Scraper — Products, Prices & Reviews Actor is ready to run with the inputs already set for "Walmart example run". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Walmart example run" task

The Walmart Scraper — Products, Prices & Reviews Actor will start running based on the input automatically. You can also change all the input fields, like search terms, max items, and more, to match your specific use case.

Receive the "Walmart example run" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as image, name, price, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Walmart example run" task via API.

Image

Integrate "Walmart example run" into your workflow

Connect "Walmart example run" with 100+ integrations, or run it via API or MCP.

Webhook

Webhook

n8n

n8n

Make

Make

Zapier

Zapier

Airbyte

Airbyte

Keboola

Keboola

IFTTT

IFTTT

Hubspot

Hubspot

GDrive

GDrive

Gmail

Gmail

Apify MCP

Apify MCP

GitHub

GitHub

Slack

Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay