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🛍️ JCPenney URLs Parser Scriptt · Apify Actor

Extract clean, structured product data from any JCPenney product URL — including pricing, inventory status, images, ratings, and reviews. Built and maintained by DataWizards.

📌 What Is Jcpenney Urls Parser Scriptt?

The Jcpenney Urls Parser Scriptt Apify Actor allows you to scrape detailed product information directly from JCPenney product pages. Whether you're analyzing retail trends, monitoring competitors, powering an e-commerce database, or automating product research, this actor delivers reliable structured output—no manual browsing required.

It’s ideal for:

• 🛒 E-commerce sellers
• 📈 Retail analysts
• 🤖 Automation engineers
• 🧪 Market researchers
• 💼 Data-driven pricing teams

🧠 Key Features

• ✅ Extract Original Price, Discounted Price, Coupon Price
• ✅ Retrieves Inventory / Availability in real time
• ✅ Full Product Title + SKU/Product ID
• ✅ Collects all product images in high resolution
• ✅ Includes Rating + total number of reviews
• ✅ Ultra-clean, structured JSON output
• ✅ Supports multiple URLs at once
• ✅ Fully proxy-enabled with RESIDENTIAL IPs to reduce blocking
• ✅ Fast, scalable, and automation-friendly

🛠️ Input Schema

Use the actor with this simple JSON input:

{
"proxyConfiguration":{
"useApifyProxy":true,
"apifyProxyGroups":["RESIDENTIAL"]
},
"Urls":[
"https://www.jcpenney.com/p/st-johns-bay-womens-crew-neck-long-sleeve-t-shirt/ppr5008501460?pTmplType=regular",
"https://www.jcpenney.com/p/st-johns-bay-womens-turtleneck-long-sleeve-cable-knit-pullover-sweater/ppr5008501005?pTmplType=regular"
]
}

🔐 Proxy Configuration

• useApifyProxy → Must be true for stable results
• apifyProxyGroups → "RESIDENTIAL" recommended for retail sites

📤 Output Example

[
{
"Original_Price":34,
"Discounted_Price":17.99,
"Coupon_Price":12.59,
"Inventory":"Available",
"Title":"St. John's Bay Womens Turtleneck Long Sleeve Cable Knit Pullover Sweater",
"Product_ID":"ppr5008501005",
"Features":[],
"Image":[
"https://jcpenney.scene7.com/is/image/JCPenney/DP0602202515101012M?resmode=sharp2&op_sharpen=1&wid=550&hei=550",
"https://jcpenney.scene7.com/is/image/JCPenney/DP0602202515101640M?resmode=sharp2&op_sharpen=1&wid=550&hei=550",
"https://jcpenney.scene7.com/is/image/JCPenney/DP0602202515100387M?resmode=sharp2&op_sharpen=1&wid=550&hei=550"
],
"Description":"Buy St. John's Bay Womens Turtleneck Long Sleeve Cable Knit Pullover Sweater at JCPenney.com today and Get Your Penney's Worth. Free shipping available",
"Rating":4.3684,
"Number_of_Reviews":19
}
]

🚀 Use Cases

🛍️ Retail & E-commerce

• Track price changes
• Detect discount patterns
• Build product comparison tools

📊 Market Intelligence

• Retail trend forecasting
• Competitive benchmarking

🤖 Automation & Integrations

• Feed data into product databases
• Automate catalog population
• Power pricing intelligence platforms

🧪 Research & Data Projects

• Large-scale dataset collection
• Consumer behavior analysis

✅ Best Practices

• Always use RESIDENTIAL proxies for stable scraping
• Avoid overly frequent requests to prevent throttling
• Validate input URLs before running jobs
• Run large batches in parallel for faster processing
• Save results to Apify Dataset for easy API access

🧰 Additional Capabilities (Optional Enhancements)

If you need more, DataWizards can add:

• ⭐ Size & color extraction
• ⭐ Deep review scraping (with filters)
• ⭐ Pagination-based multi-variant extraction
• ⭐ Mobile vs desktop DOM handling
• ⭐ Custom data formats (CSV, XLSX, Mongo-ready JSON)

Just ask — we build custom solutions fast.

🤝 Support

Need help, customizations, or integrations? DataWizards are always ready for you.

📩 Email: hello.datawizard@gmail.com ✉️ Subject: JCPenney URLs Parser – Custom Support Request

🔗 Connect: https://linkedin.com/in/data-wizards-aa8080342

🐞 Bugs & Feature Requests

If you find any issue or want a new feature:

📧 Email → hello.datawizard@gmail.com ✉️ Subject: Bug Report – JCPenney URLs Parser Actor

Your feedback helps keep this actor top-tier.

🏁 Start scraping JCPenney product data like a pro — reliably, quickly, and at scale with Jcpenney Urls Parser Scriptt.