
Macys Products Bycategory
Pricing
$7.99 / 1,000 results

Macys Products Bycategory
The Macys Products ByCategory actor is a powerful web scraping tool that extracts product information from Macy's e-commerce website by category.
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Pricing
$7.99 / 1,000 results
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Last modified
6 days ago
Macys Products ByCategory - Apify Actor Documentation
Overview
The Macys Products ByCategory actor is a powerful web scraping tool that extracts product information from Macy's e-commerce website by category. This actor enables you to efficiently collect product data including prices, descriptions, ratings, and availability across different product categories from one of America's largest department store chains.
Key Features
- Category-based scraping: Extract products from any Macy's product category
- Flexible sorting options: Sort results by price, ratings, popularity, and more
- Multi-region support: Support for different regions and currencies
- Pagination control: Specify page numbers and items per page
- Real-time data: Get up-to-date product information directly from Macy's
- Rate limiting: Built-in delays to ensure respectful scraping
Input Parameters
Required Parameters
Parameter | Type | Description | Default |
---|---|---|---|
categoryUrl | String | Full URL of the Macy's category page to scrape | https://www.macys.com/shop/womens/clothing?id=188851 |
sortBy | String | Sorting method for products (see available options below) | featuredItems |
Optional Parameters
Parameter | Type | Description | Default |
---|---|---|---|
page | Number | Page number to scrape (for pagination) | 1 |
perPage | Number | Number of products per page | 60 |
regionCode | String | Region code for localized results | US |
currencyCode | String | Currency code for pricing | USD |
Available Sorting Options
Option Key | Description |
---|---|
featuredItems | Macy's featured/recommended products |
priceLowToHigh | Sort by price ascending |
priceHighToLow | Sort by price descending |
topRated | Sort by customer ratings |
bestSellers | Most popular products |
newItems | Recently added products |
How to Use
1. Basic Usage
{"categoryUrl": "https://www.macys.com/shop/womens/dresses?id=5449","sortBy": "featuredItems"}
2. Advanced Configuration
{"categoryUrl": "https://www.macys.com/shop/mens/shoes?id=55637","page": 2,"perPage": 40,"regionCode": "US","currencyCode": "USD","sortBy": "priceLowToHigh"}
3. Multiple Pages Scraping
To scrape multiple pages, run the actor multiple times with different page numbers, or modify the input programmatically through Apify's API.
Popular Macy's Categories
Here are some popular category URLs you can use:
- Women's Clothing:
https://www.macys.com/shop/womens/clothing?id=188851
- Men's Clothing:
https://www.macys.com/shop/mens-clothing?id=1
- Shoes:
https://www.macys.com/shop/shoes?id=13616
- Handbags:
https://www.macys.com/shop/handbags?id=26846
- Jewelry:
https://www.macys.com/shop/jewelry?id=3536
- Home Decor:
https://www.macys.com/shop/bed-bath?id=7498
- Beauty:
https://www.macys.com/shop/makeup-and-perfume?id=669
Use Cases
1. E-commerce Price Monitoring
- Competitive Analysis: Monitor competitor pricing and product availability
- Price Tracking: Track price changes over time for specific product categories
- Market Research: Analyze pricing trends across different product segments
2. Inventory Management
- Stock Monitoring: Track product availability and stock levels
- New Product Discovery: Identify newly added products in your categories of interest
- Seasonal Analysis: Monitor seasonal product availability and pricing changes
3. Marketing & Business Intelligence
- Product Catalog Creation: Build comprehensive product databases for comparison sites
- Market Gap Analysis: Identify underserved product categories or price ranges
- Customer Behavior Insights: Analyze popular products and trending categories
4. Data Analytics & Research
- Fashion Trend Analysis: Track trending clothing and accessory categories
- Economic Research: Study consumer pricing and product availability patterns
- Academic Research: Gather data for retail and e-commerce studies
5. Automation & Integration
- Dropshipping: Identify products for dropshipping businesses
- API Integration: Feed product data into your own applications or databases
- Report Generation: Create automated reports on product categories and pricing
Output Format
The actor returns structured JSON data containing:
{"products": [{"name": "Product Name","price": "$XX.XX","originalPrice": "$XX.XX","discount": "XX%","rating": "X.X","reviewCount": "XXX","imageUrl": "https://...","productUrl": "https://...","brand": "Brand Name","availability": "In Stock","category": "Category Name"}],"pagination": {"currentPage": 1,"totalPages": "XX","totalProducts": "XXXX"}}
Error Handling
The actor includes robust error handling for:
- Invalid category URLs
- Unsupported sorting options
- Network timeouts and connection issues
Performance Tips
- Optimize Page Size: Use smaller
perPage
values for faster execution - Batch Processing: Process multiple categories in separate actor runs
- Rate Limiting: The built-in delays prevent blocking, but consider spacing out large scraping jobs
- URL Validation: Ensure category URLs are valid Macy's product category pages
Technical Specifications
- Platform: Apify Platform
- Language: Node.js
- Memory Requirements: 512MB minimum recommended
- Execution Time: 30-120 seconds depending on page size and network conditions
- Rate Limiting: Built-in random delays (0-500ms) between requests
Support & Licensing
This actor is available for rental on the Apify Store. For technical support, custom modifications, or bulk usage inquiries, please contact us through the Apify platform.
SEO Keywords
Macy's scraper, product data extraction, e-commerce scraping, retail price monitoring, product catalog scraper, Macy's API alternative, fashion data scraping, department store scraper, product information extraction, automated product research, retail analytics tool, price comparison data, inventory tracking scraper, Apify actor marketplace
For additional support, refer to the Apify documentation or contact us.