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- Automate with schedulers and webhooks
- JSON, NDJSON, or CSV delivery
JCPenney Reviews Scraper API
Scrape JCPenney reviews and gather customer feedback details. Collect JCPenney data such as: star rating, review count, reviews, product title, brand, product category, item ID, price, product URL, and much more.
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Explore thousands of production-ready scrapers
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JCPenney Reviews Scraper API Pricing
Only pay for what’s successfully delivered. No hidden fees, no charges for failed deliveries.
- Pay only for success, no hidden fees
- Start free with 5,000 monthly credits
- No upfront commitment, cancel anytime
- 24/7 expert support and enterprise features
From zero to JCPenney Reviews data in 3 steps
-
Pick a scraper
Choose from the JCPenney Reviews scrapers above or create your own with AI in minutes.
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Call the API
One API call with up to 5,000 target URLs. Python and Node.js SDKs, CLI, MCP server, or any HTTP client.
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Get structured data
Receive clean, parsed JCPenney Reviews data in JSON, NDJSON, or CSV. Delivered via API, webhook, or cloud storage.
curl -H "Authorization: Bearer API_TOKEN" -H "Content-Type: application/json" -d '[{"url":"https://www.jcpenney.com/p/liz-claiborne-womens-short-sleeve-2-pc-pajama-sets/ppr5008689001?pTmplType=regular","all_variations":true},{"url":"https://www.jcpenney.com/p/gold-toe-athletic-sport-mens-breathable-multi-pack-6-pair-quarter-ankle-socks/1c41ac0?pTmplType=regular","all_variations":true}]' "https://api.brightdata.com/datasets/v3/trigger?dataset_id=gd_mos9zh502av8wu33tg&format=json&uncompressed_webhook=true"
[
{
"timestamp": "2026-11-04",
"url": "https:\/\/www.jcpenney.com\/p\/uv-skinz-mens-long-sleeve-everyday-tee\/ppm6100032003?pTmplType=regular",
"item_id": "00431670059",
"variant_id": "00431670059",
"title": "UV Skinz Men\u0027s Long Sleeve Everyday Tee",
"description": "The name doesn\u0027t lie, our men’s long sleeve everyday tee will become your next favorite tee to wear, well, everyday. Thi...",
"product_category": "men\u003E shirts",
"category_tree": [
{
"name": "men",
"url": "https:\/\/www.jcpenney.com\/d\/men"
},
{
"name": "shirts",
"url": "https:\/\/www.jcpenney.com\/g\/men\/mens-shirts?id=cat100240025"
}
]
},
{
"timestamp": "2026-11-04",
"url": "https:\/\/www.jcpenney.com\/p\/laurenzas-girls-back-to-school-smocked-bishop-dress\/ppm6100022193?pTmplType=regular",
"item_id": "00294340003",
"variant_id": "00294340003",
"title": "Laurenza\u0027s Girls\u0027 Back to School Smocked Bishop Dress",
"description": "This girls’ dress features a woven gingham construction with a hand-smocked yoke and embroidered school-inspired motifs,...",
"product_category": "baby\u003E baby girl clothes 0-24 months",
"category_tree": [
{
"name": "baby",
"url": "https:\/\/www.jcpenney.com\/d\/baby"
},
{
"name": "baby girl clothes 0-24 months",
"url": "https:\/\/www.jcpenney.com\/g\/baby\/baby-girl-clothes-0-24-months?id=cat100260041"
}
]
},
{
"timestamp": "2026-11-04",
"url": "https:\/\/www.jcpenney.com\/p\/anna-kaci-womens-straw-bucket-hat-with-cherry-embellishments-white\/ppm6100030157?pTmplType=re...",
"item_id": "00392980004",
"variant_id": "00392980004",
"title": "Anna-Kaci Women\u0027s Straw Bucket Hat with Cherry Embellishments - White",
"description": "Step into summer with a burst of charm wearing our Women\u0027s Straw Bucket Hat. Adorned with playful red cherry accents and...",
"product_category": "handbags \u0026 accessories\u003E hats",
"category_tree": [
{
"name": "handbags \u0026 accessories",
"url": "https:\/\/www.jcpenney.com\/d\/purses-accessories"
},
{
"name": "hats",
"url": "https:\/\/www.jcpenney.com\/g\/purses-accessories\/hats?id=cat100250011"
}
]
},
{
"timestamp": "2026-11-04",
"url": "https:\/\/www.jcpenney.com\/p\/inspire-chic-mens-point-collar-short-sleeve-button-down-summer-linen-shirt\/ppm6100082720?pTmp...",
"item_id": "00106800048",
"variant_id": "00106800048",
"title": "INSPIRE CHIC Men\u0027s Point Collar Short Sleeve Button Down Summer Linen Shirt",
"description": "With its classic hawaiian style, the linen shirt is great for casual seaside vacations. These solid color shirt can be p...",
"product_category": "men\u003E shirts",
"category_tree": [
{
"name": "men",
"url": "https:\/\/www.jcpenney.com\/d\/men"
},
{
"name": "shirts",
"url": "https:\/\/www.jcpenney.com\/g\/men\/mens-shirts?id=cat100240025"
}
]
},
{
"timestamp": "2026-11-04",
"url": "https:\/\/www.jcpenney.com\/p\/mobile-warming-womens-element-mid-layer-full-zip-hoodie\/ppm6100079038?pTmplType=regular",
"item_id": "00106760008",
"variant_id": "00106760008",
"title": "Mobile Warming Women\u0027s Element Mid-Layer Full Zip Hoodie",
"description": "Lightweight warmth meets everyday versatility. The Element Full Zip Heated Mid-Layer is built for crisp mornings and bre...",
"product_category": "women\u003E tops",
"category_tree": [
{
"name": "women",
"url": "https:\/\/www.jcpenney.com\/d\/women"
},
{
"name": "tops",
"url": "https:\/\/www.jcpenney.com\/g\/women\/tops?id=cat100210006"
}
]
}
]
Tell your agent:
Read https://brightdata.com/SKILL.md and get structured JSON for this JCPenney product via the Web Scraper API (gd_mos9zh502av8wu33tg): https://www.jcpenney.com/p/liz-claiborne-womens-short-sleeve-2-pc-pajama-sets/ppr5008689001?pTmplType=regularOr run it yourself:
curl -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '[{"url":"https://www.jcpenney.com/p/liz-claiborne-womens-short-sleeve-2-pc-pajama-sets/ppr5008689001?pTmplType=regular","all_variations":true}]' "https://api.brightdata.com/datasets/v3/trigger?dataset_id=gd_mos9zh502av8wu33tg&format=json"Or connect over MCP:
https://mcp.brightdata.com/mcp?token=YOUR_API_KEYPlug JCPenney scrapers into your agent
Your agent picks from JCPenney scrapers we already maintain. Let it run whenever you need, and every run delivers real-time web data straight to your storage. Works in Claude Code, Codex, Cursor and any other coding agent.
- Runs with npx, nothing to install
- bdata login opens browser auth, no key to paste
- Name a scraper, get JSON back
- Delivers to AWS · GCP · Azure · Snowflake · Webhook
Everything you need, built in
Go straight to the source
Scale to millions of pages instantly
Scrapers auto-fix when sites change
Thousands of verified scrapers
Pay per result, nothing extra
Compliant and fully supported
Start collecting JCPenney Reviews data in minutes
JCPenney Reviews data scraping use cases
Customer sentiment analysis
Brand quality benchmarking
Review-led assortment research
Price and satisfaction analysis
Web Scraper API vs other providers
Leading the way in ethical web data collection
Only publicly available data. ISO 27001 certified, SOC 2 controls, GDPR & CCPA compliant. Every use case is reviewed by a dedicated Compliance & Ethics team, backed by a documented Know Your Customer process and Acceptable Use Policy.
JCPenney Reviews Scraper API FAQs
What is the JCPenney Reviews Scraper API?
The JCPenney Reviews Scraper API is a powerful tool designed to automate data extraction from the JCPenney Reviews website, allowing users to efficiently gather and process large volumes of data for various use cases.
How does the JCPenney Reviews Scraper API work?
The JCPenney Reviews Scraper API works by sending automated requests to targeted website, extracting the necessary data points, and delivering them in a structured format. This process ensures accurate and quick data collection.
Is the JCPenney Reviews Scraper API compliant with data protection regulations?
Yes, the JCPenney Reviews Scraper API is designed to comply with data protection regulations, including GDPR and CCPA. It ensures that all data collection activities are performed ethically and legally.
Can I use the JCPenney Reviews Scraper API for competitive analysis?
Absolutely! The JCPenney Reviews Scraper API is ideal for competitive analysis, allowing you to gather insights into your competitors' activities, trends, and strategies.
How can I integrate the JCPenney Reviews Scraper API with my existing systems?
The JCPenney Reviews Scraper API offers flawless integration with various platforms and tools. You can use it with your existing data pipelines, CRM systems, or analytics tools to improve your data processing capabilities.
Is there a free tier available for the JCPenney Reviews Scraper API?
Yes! Every new Bright Data account automatically includes 5,000 free credits per month (approximately $7.50 in value) — no credit card required, no promo code, no commitment. These credits apply to Scrapers (including the JCPenney Reviews Scraper API), as well as the Unlocker API and SERP API. Credits renew on the 1st of each month, and you can start making API calls immediately after signing up.
What happens when my free credits run out while using the JCPenney Reviews Scraper API?
When your 5,000 free monthly credits are exhausted, behavior depends on your account balance. If you have pre-deposited funds, usage continues seamlessly at standard PAYG rates with no interruption. If you have no deposited funds, requests will return an error until you add funds or until your credits renew on the 1st of the following month. Note that unused free credits do not roll over.
To avoid interruptions, you can enable auto-recharge in your billing settings at brightdata.com/cp/billing/settings.
What are the usage limits for the JCPenney Reviews Scraper API?
There are no specific usage limits for the JCPenney Reviews Scraper API, offering you the flexibility to scale as needed.
Do you provide support for the JCPenney Reviews Scraper API?
Yes, we offer dedicated support for the JCPenney Reviews Scraper API. Our support team is available 24/7 to assist you with any questions or issues you may encounter while using the API.
What delivery methods are available?
Amazon S3, Google Cloud Storage, Google PubSub, Microsoft Azure Storage, Snowflake, and SFTP.
What file formats are available?
JSON, NDJSON, JSON lines, CSV, and .gz files (compressed).
Can AI agents use the JCPenney Reviews Scraper API?
Yes. Connect any agent through the hosted MCP server, point a coding agent at brightdata.com/SKILL.md to set itself up, or use the CLI. Agents authenticate once with browser OAuth and can run any of the JCPenney Reviews scrapers.