With Walmart (the world’s leading comprehensive retail platform) booming—are you wasting countless hours manually collecting retail information such as product names, real-time prices, inventory statuses, user review scores & comments, promotion details, product category classifications, and shipping policies? Faced with Walmart’s massive retail content (millions of products, paginated category lists, dynamic promotion sections), efficiently acquiring structured retail data to accurately track price fluctuations, optimize procurement strategies for corporate buyers or enhance cost-saving efficiency for individual shoppers has become a common challenge for corporate procurement professionals, retail analysts, e-commerce operators, individual consumers, and market research teams. Say goodbye to tedious manual copy-and-paste and page-by-page recording of price changes or inventory statuses. BrowserAct will revolutionize the way you access Walmart’s retail data.

What is BrowserAct E-commerce Data Automation Scraper ?

BrowserAct is a powerful automated data extraction tool that lets you easily scrape required data from any web page without programming knowledge. It can efficiently capture key retail data from Walmart’s massive repository of product content, including product listings, pricing details, inventory statuses and user reviews. What can it do for you?

• Walmart Retail Data Scraping: Our Walmart crawler can intelligently identify and extract core retail data from the platform. This includes product names, real-time prices, inventory statuses, user review scores and comments, promotion details, product category classifications, and shipping policies. It covers all critical information needed to track product dynamics on Walmart.
• AI-Powered Field Suggestions: Using AI to intelligently identify the structure of Walmart pages, such as product listing pages, product detail pages and promotion sections, it quickly suggests and extracts key fields like "product name, real-time price, inventory status, review score, promotion detail". No manual positioning is needed, and structured data is generated directly to support efficient analysis.
• Ideal Users: Suitable for corporate procurement professionals, retail analysts, e-commerce operators, individual consumers and market research teams. It helps you obtain structured Walmart retail data to drive decisions—like optimizing procurement strategies and adjusting product selection plans—or meet practical needs, such as tracking price fluctuations, comparing product reviews and saving on shopping.

Features and Workflow Capabilities

• Input Parameters for Effective Conecte Imóvel Scraping. Detailed explanation of required input parameters, presented in a table for clarity:

How to Use BrowserAct as a CoinMarketCap Scraper

Step 1: Create Workflow and Set Input Parameters

• Click the "Workflow" button in the left sidebar, then "Create" to name your workflow (e.g., "Financial Data Automation").
• Define customizable inputs for flexibility:

Target_Walmart
Target_Freshdirect
Target_Product
Count

Step 2: Add Navigation and Search Actions 📍

• Click the "+" icon to add actions. Start with "Visit Page" and enter "Visit /url" to direct the workflow to the specified URL, such as https://www.walmart.com/ . BrowserAct's AI will automatically understand the page structure, powering your Forbes web scraper without hassle.

Step 3: Add "Extract Data" Action 📊

• Click "+" and select "Extract Data." In the description box, specify what to extract and set limits, such as:

Extract first /Count product data - add the title to "title" - add seller to "Seller" - add Weight or Count to "Quantity" - add Price to "Price - add product link to "Url"

• The AI will interpret your request and precisely scrape Rightmove houses list—no CSS selectors, no XPath, no coding required. This makes BrowserAct a seamless job scraper for scraping jobs from the internet.

Step 4: Add Output, Publish, and Run 📈

• Click "+" and select "Finish: Output Data." Choose CSV as the output format and enable "Output as a file" for easy downloading.

• Click "Publish" to save and finalize your Forbes scraper.

• Navigate to the "Run" section. Adjust parameters if Forbes (or use defaults), then click "Start" to execute the scrape.

Step 5: Download the Results

• Before downloading, you can preview the scraped results to see if they meet your expectations.