Scrape Lowe's Products — Prices, Ratings & Availability Data

What does this Lowe's scraper do?

This Apify actor scrapes product listings from Lowes.com, the second-largest home improvement retailer in the United States. Enter any search term and get structured data including prices, ratings, availability, brand info, model numbers, and more.

Whether you need to monitor competitor pricing, build a product catalog, or research the home improvement market, this scraper delivers clean, structured JSON data ready for analysis.

Features

• Search-based scraping — Enter any product search term and get matching results
• Comprehensive data extraction — Prices, unit prices, ratings, review counts, brands, model and item numbers
• Availability tracking — Capture in-store and delivery availability status
• Product images — Extract high-resolution product image URLs
• Automatic pagination — Follows search result pages to collect the number of products you need
• Configurable limits — Set how many results to collect (up to 500)
• Anti-detection measures — Realistic browser fingerprinting with randomized delays

Input Parameters

Field	Type	Required	Default	Description
searchQuery	String	Yes	—	Product search term (e.g., "power drill", "bathroom vanity", "refrigerator")
maxResults	Integer	No	50	Maximum number of products to scrape (1–500)

Example Input

{
    "searchQuery": "cordless drill",
    "maxResults": 25
}

Output Dataset

Each scraped product is stored as a JSON object with the following fields:

Field	Type	Description
productName	String	Full product title
price	String	Listed price (e.g., "$129.00")
unitPrice	String	Price per unit if applicable
rating	Number	Average star rating (0–5)
reviewCount	Integer	Number of customer reviews
brand	String	Product brand name
modelNumber	String	Manufacturer model number
itemNumber	String	Lowe's item number
availability	String	Stock and delivery availability
imageUrl	String	Product image URL
productUrl	String	Direct link to the product page on Lowes.com
searchQuery	String	The search term used
scrapedAt	String	ISO 8601 timestamp of when the data was collected
sourceUrl	String	The search results page URL

Example Output

{
    "productName": "DEWALT 20-Volt Max 1/2-in Brushless Cordless Drill",
    "price": "$129.00",
    "unitPrice": null,
    "rating": 4.8,
    "reviewCount": 2451,
    "brand": "DEWALT",
    "modelNumber": "DCD791D2",
    "itemNumber": "1234567",
    "availability": "In Stock | Free Delivery",
    "imageUrl": "https://mobileimages.lowes.com/productimages/example.jpg",
    "productUrl": "https://www.lowes.com/pd/DEWALT-20-Volt-Max-Drill/1234567",
    "searchQuery": "cordless drill",
    "scrapedAt": "2025-01-15T10:30:00.000Z",
    "sourceUrl": "https://www.lowes.com/search?searchTerm=cordless+drill"
}

Use Cases

• Price monitoring — Track Lowe's product prices over time for competitive intelligence
• Market research — Analyze the home improvement product landscape across categories
• Product catalog building — Build comprehensive product databases for comparison sites
• Inventory tracking — Monitor product availability for supply chain planning
• Brand analysis — Compare brand presence, pricing, and customer ratings
• Lead generation — Identify popular products and trends in the home improvement space
• E-commerce intelligence — Feed structured product data into analytics dashboards

Technical Notes

• This actor uses Puppeteer with a full Chrome browser to render JavaScript-heavy pages
• Concurrency is limited to 2 requests to avoid aggressive rate patterns
• Random delays are added between page navigations to mimic natural browsing behavior
• Failed requests are logged in the dataset with isFailed: true for debugging

Integrations

Connect this scraper to your workflow with:

• Apify API — Fetch results programmatically via REST API
• Webhooks — Trigger downstream processes when a run completes
• Google Sheets — Export product data directly to spreadsheets
• Slack / Email — Get notifications when scraping finishes
• Zapier / Make — Integrate with thousands of other apps

Cost Estimation

• Scraping ~50 products typically takes 1–3 minutes
• Compute unit consumption depends on the number of pages processed
• Using the maxResults parameter helps control costs

Author

Built and maintained by donnycodesdefi.