Walmart Product Search Scraper

Walmart Product Search Scraper is a reusable BrowserAct template for collecting structured records from public Walmart pages. Configure the run inputs, start the Bot, and receive consistent output for research, monitoring, enrichment, or downstream automation without writing selectors or scraper code.

What Does BrowserAct Walmart Product Search Scraper Do?

The Bot starts from your configured inputs, opens the relevant public Walmart page, loads the requested records, extracts the visible fields, and returns structured results. The default example uses https://www.walmart.com for Marketplace URL, but the input can be changed before each run.

Key Features of Walmart Product Search Scraper

Configurable public-page inputs without rebuilding the Bot.
Structured records returned in a consistent results array.
Public, non-login extraction path.
Reusable runs for new keywords, URLs, locations, or limits.
Output ready for review, export, API use, or automation.

What Data Can I Extract from Walmart?

Field	Description
`title`	Publicly visible title value for the record, when available.
`description_snippet`	Publicly visible description snippet value for the record, when available.
`product_url`	Direct public product page URL.
`current_price`	Publicly visible current price value for the record, when available.
`original_price`	Publicly visible original price value for the record, when available.
`currency`	Currency shown with the public price.
`discount_available`	Publicly visible discount available value for the record, when available.
`fulfillment_or_shipping_text`	Publicly visible fulfillment or shipping text value for the record, when available.
`shipping_fee`	Publicly visible shipping fee value for the record, when available.
`seller`	Publicly visible seller value for the record, when available.
`image_url`	Public image URL shown for the record.
`star_rating`	Publicly visible star rating value for the record, when available.
`review_count`	Publicly visible review count value for the record, when available.
`rank`	Record position in the collected result order.

How to Use Walmart Product Search Scraper

Quick Start Guide

Click Run task.
Keep the default inputs for a first test or enter your own public-page values.
Click Run.
Review the structured records after the run completes.
Download the result or connect it to another workflow.

Input Parameters

Parameter	Required	Default	Description
`Marketplace URL`	Yes	`https://www.walmart.com`	Controls the marketplace url used for this run.
`Keyword`	Yes	`wireless headphone`	Controls the keyword used for this run.
`Count`	Yes	`10`	Controls the count used for this run.

Example Output

{
  "results": [
    {
      "title": "Example value",
      "description_snippet": "Example value",
      "product_url": "https://example.com/public-record",
      "current_price": null,
      "original_price": null,
      "currency": "Example value",
      "discount_available": null,
      "fulfillment_or_shipping_text": "Example value",
      "shipping_fee": "Example value",
      "seller": "Example value",
      "image_url": "https://example.com/public-record",
      "star_rating": null
    }
  ]
}

How Does it Work?

How Walmart Product Search Scraper works

Construct a Walmart search URL from the configured keyword.
Open the public results page and load enough product cards for Count.
Extract visible product, price, shipping, seller, image, rating, and review fields from each card.
Return normalized product records in listing order.

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. Describe the public website, records, inputs, fields, and result limit.

Start Agent Built

Step 2: Let BrowserAct build and test the Bot

BrowserAct explores the live website, determines the navigation and extraction path, and validates the result. Reply in the same build conversation if the Agent requests a missing public URL, field, or expected output.

BrowserAct building the Bot

Step 3: Run the Bot and review the result

Run the completed Bot with default inputs. Check record count, source URLs, and required fields before reusing it with new inputs.

Run the completed Bot

Review structured results

Why Use Walmart Product Search Scraper?

Replace repetitive copying from public Walmart pages.
Keep the same output structure across repeated runs.
Send public records into research, reporting, enrichment, or monitoring workflows.

Who Can Use Walmart Product Search Scraper?

Researchers and analysts collecting public web data.
Marketing, sales, and operations teams preparing structured datasets.
Automation builders connecting BrowserAct output to other tools.
Developers who need reusable browser-collected JSON records.

Automation and Export

BrowserAct automation and export workflow

BrowserAct returns structured records first. You can then use that output through API JSON responses, n8n workflows, Make scenarios, Zapier automations, MCP-based agent workflows configured from the Bot's Integrations tab, or manual spreadsheet export.

Need Help?

Discord: Discord Community

E-mail: service@browseract.com