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
The table below uses records preserved from the validated Bot run. Up to the first 5 records are shown, and long values are shortened in this documentation preview.
| item_id | product_url | title | brand | model | current_price | currency | availability | review_count | average_rating | highlights |
|---|---|---|---|---|---|---|---|---|---|---|
| 18656507313 | https://www.walmart.com/ip/example/18656507313 | Example Laptop | HP | 14-inch | 249 | USD | In stock | 325 | 4.4 | ["14-inch display","128 GB storage"] |
How Does it Work?
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.
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.
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.
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
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
