Collect detailed public Walmart product records from reusable item URLs. The template returns catalog, price, rating, description, specification, variant, fulfillment, return, and image data.

What Does BrowserAct Walmart Product Details Scraper Do?

This BrowserAct template runs a validated, reusable extraction path against publicly accessible Walmart pages. Configure the inputs, run the Bot, and receive structured records without writing selectors or browser scripts.

Key Features

Process public Walmart product URLs without rebuilding the Bot.
Read reliable product data from the rendered page state.
Capture pricing, availability, seller, rating, and catalog fields.
Return nested specifications, variants, fulfillment, images, and ratings.

What Data Can I Extract from Walmart?

Field	Description
`item_id`	Structured item id value returned by the Bot.
`product_url`	Public product url for the record.
`title`	Public title.
`brand`	Structured brand value returned by the Bot.
`model`	Structured model value returned by the Bot.
`upc`	Structured upc value returned by the Bot.
`current_price`	Visible current price, preserved as null when unavailable.
`original_price`	Visible original price, preserved as null when unavailable.
`currency`	Structured currency value returned by the Bot.
`availability`	Structured availability value returned by the Bot.
`category_path`	Structured category path value returned by the Bot.
`seller_name`	Public seller name.
`seller_rating`	Public seller rating metric.
`review_count`	Visible review count value.
`average_rating`	Public average rating metric.
`image_urls`	Public image URLs returned for the record.
`short_description`	Public short description text.
`long_description`	Public long description text.
`highlights`	Visible product or listing highlights.
`specifications`	Structured product specifications.
`variants`	Available public product variants.
`fulfillment`	Visible fulfillment options and methods.
`return_policy`	Structured return policy value returned by the Bot.
`rating_breakdown`	Rating distribution by star level.

How to Use Walmart Product Details Scraper

Click Run task.
Enter the configurable values shown below.
Run the Bot and review the structured records.
Export the result or connect it to an API, automation platform, or agent workflow.

Input Parameters

Parameter	Required	Default	Description
`Product URLs`	Yes	`https://www.walmart.com/ip/HP-14-N150-4-128-Blue/18656507313`	One or more public Walmart product URLs.
`Count`	Yes	`1`	Maximum supplied product URLs to process.

Example Output

{
  "results": [
    {
      "item_id": "18656507313",
      "product_url": "https://www.walmart.com/ip/example/18656507313",
      "title": "Example Laptop",
      "brand": "HP",
      "model": "14-inch",
      "current_price": 249,
      "currency": "USD",
      "availability": "In stock",
      "review_count": 325,
      "average_rating": 4.4,
      "highlights": [
        "14-inch display",
        "128 GB storage"
      ]
    }
  ]
}

How Does it Work?

How Walmart Product Details Scraper runs

BrowserAct opens each configured Walmart product page and reads the public product state embedded in the rendered page after validating the requested item ID.

The Bot maps product, price, seller, review, description, image, specification, variant, fulfillment, return, and rating data into one structured record per item.

How to Build a New Scraper Bot with Agent Built

Step 1: Describe the Data You Need

Open BrowserAct and start Agent Built from the Home prompt box or from Create -> Build with Agent. Paste a clear request that includes the website, the records to collect, the filters or search conditions, the fields to return, the result limit, and the inputs you want to reuse later.

Agent Built prompt templates

Step 2: Let BrowserAct Build and Test the Bot

BrowserAct explores the live website, works out the navigation and extraction path, and validates the result. If BrowserAct asks for clarification, reply in the same build conversation with the missing URL, condition, field, example, or expected output.

Agent Built exploration

Step 3: Run the Bot and Review the Result

When the build is complete, run the Bot with the default inputs first. Review the structured records, source URLs, missing fields, and row count before reusing the Bot with new inputs or connecting it to another workflow.

Agent Built run inputs

Agent Built run results

Why Use Walmart Product Details Scraper?

Support catalog enrichment, price monitoring, product research, assortment analysis, and downstream e-commerce automation.

Who Can Use This Template?

Retail and e-commerce analysts.
Catalog operations teams.
Marketplace sellers.
Pricing and competitive-intelligence teams.

How Many Results Can You Scrape?

Count limits the supplied product URLs processed per run. Optional fields remain null when Walmart does not expose them for a specific product.

Automation and Export

Automation and export flow

BrowserAct returns structured data first. You can then use the completed output through API JSON responses, n8n workflows, Make scenarios, Zapier automations, MCP-based agent workflows, or manual CSV and spreadsheet review.

Need Help?

Contact us at

Discord: Discord Community

E-mail: service@browseract.com

Walmart Product Details Scraper

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FAQ About the template

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