Walmart Product details scraper bulk
by getdataforme
A bulk scraper for Walmart product details. Feed it a list of URLs to automatically extract pricing, specs, and images into a structured dataset.
Opens on Apify.com
About Walmart Product details scraper bulk
Need to pull detailed product data from Walmart at scale? This scraper is built for exactly that. You feed it a list of Walmart product URLs—whether it's ten links or ten thousand—and it systematically crawls each page, extracting the key details you need. I've used it to gather pricing, titles, descriptions, images, and specifications for market research and inventory tracking. The real advantage is the bulk URL handling. Instead of running separate jobs for each product, you just paste your entire list into the actor's input. It processes them in a managed queue, which saves a huge amount of time and keeps everything organized in a single dataset. The output is clean, structured data in formats like JSON or CSV, ready to import into your database or analysis tools. It's straightforward and does one job very well: turning Walmart product pages into usable, bulk data without manual copy-pasting.
What does this actor do?
Walmart Product details scraper bulk is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Walmart Bulk Product Details Scraper
Overview
This Apify actor scrapes detailed product information from Walmart.com. It's built for bulk operations, allowing you to submit multiple product URLs at once. It handles concurrent processing to retrieve data efficiently.
Key Features
- Bulk Processing: Submit multiple Walmart product URLs in a single run.
- Concurrent Execution: Processes URLs simultaneously for faster data collection.
- Proxy Support: Uses Apify Proxy by default to manage requests and avoid blocks.
- Comprehensive Data: Extracts key product details including name, price, ratings, reviews, and availability.
How to Use
The actor requires an input object containing an array of product URLs. You can provide this input manually in the Apify console or via a JSON file when calling the API.
Input
The input is a JSON object. The urls field is required and should be an array of valid Walmart product page URLs. The proxyConfiguration is optional but enabled by default.
Example Input:
{
"urls": [
"https://www.walmart.com/ip/HP-15-6-Touch-Screen-Laptop-Intel-Core-i3-8GB-Memory-128GB-SSD-Natural-Silver/5749163974",
"https://www.walmart.com/ip/HP-Newest-15-15-6-HD-Touchscreen-Windows-11-Pro-Business-Laptop-Computer-12th-Gen-Intel-Core-i3-1215U-8GB-RAM-256GB-PCIe-SSD-Long-Battery-Life-Wi-Fi/5227687833"
],
"proxyConfiguration": {
"useApifyProxy": true
}
}
Output
The actor outputs a dataset where each item corresponds to a scraped product. Each item is a structured object containing the extracted fields. The exact schema (field names for price, rating, etc.) will be visible in the dataset preview within your Apify run.
Support
For custom support or to report issues with the scraper, you can reach out via:
* Email: support@getdataforme.com
* Website: https://getdataforme.com
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Walmart Product details scraper bulk now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- getdataforme
- Pricing
- Paid
- Total Runs
- 341
- Active Users
- 22
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