Windsor Fashions Scraper
by mshopik
An open-source scraper for Windsor Fashions. Extract women's clothing product data, pricing, and images from windsorstore.com, with exports to JSON, CSV, Excel, and more.
Opens on Apify.com
About Windsor Fashions Scraper
Need to pull product data from Windsor Fashions for a project? This open-source scraper is built specifically for windsorstore.com, handling the site's structure so you don't have to. I've used it to efficiently crawl their entire women's clothing catalog, grabbing details like product titles, descriptions, images, and current pricing. It runs reliably, which is key when you're aggregating data for price monitoring, market research, or building a product feed. Once the scraper finishes its run, you get clean, structured data. The real convenience is the flexible export options—you can pull everything down as JSON, CSV, Excel, XML, or even raw HTML for your records. It saves a ton of manual work. Whether you're a developer integrating Windsor's catalog into a comparison site, a data analyst tracking fashion trends, or just building a personal project, this tool gets you from zero to usable data without the usual headaches of writing and maintaining your own scraper.
What does this actor do?
Windsor Fashions Scraper 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
Windsor Fashions Scraper
Overview
This actor scrapes product data and pricing from the Shopify-based Windsor Fashions online store (windsorstore.com). It provides a free, structured API to extract e-commerce data for use in applications, spreadsheets, or reports. Common use cases include product tracking, market research, price monitoring, and competitive analysis in women's fashion.
Key Features
- Extracts product details and pricing from
windsorstore.com. - Outputs structured data (JSON, CSV, etc.) for easy integration.
- Built as part of a universal Shopify scraper suite.
- Free to use, consuming only Apify platform credits based on usage.
How to Use
- Configure the actor's input settings (like start URLs or search terms).
- Run the actor. Consumption of platform credits depends on the job's scope, duration, and frequency. For accurate estimates, perform a test run and review usage in Billing.
- Retrieve the structured dataset from the actor's output.
For a general introduction to using Apify actors, see the quick start guide. For specific questions, contact support@apify.com.
Input/Output
Input: Configure the actor via its input settings in the Apify Console. Key parameters typically include the target URLs or search queries for Windsor Fashions.
Output: The actor returns a structured dataset containing scraped product information. Each item usually includes fields like product name, price, description, and URL. Data can be downloaded in formats like JSON, CSV, XML, or Excel via the Apify platform.
Cost: The actor consumes Apify platform credits. The exact cost varies based on your configuration and data volume. Review platform pricing for details.
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 Windsor Fashions Scraper now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- mshopik
- Pricing
- Paid
- Total Runs
- 1,445
- Active Users
- 13
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