JCPenney Scraper API

Scrape JCPenney department store apparel, home, and beauty. Collect JCPenney data such as product title, description, brand, product category, category tree, item ID, variant ID, and product URL.

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5K free records/month · Credit card not required

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Available JCPenney scrapers

Pick a JCPenney scraper and call it. Every JCPenney scraper lists its output fields, delivery volume, and live success rate.

JCPenney Products

URL, Item id, Variant id, Title, Description, Product category, Category tree, Brand, and more.
Views221+
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JCPenney Products - Collect products URLs by sitemap

URL, Item id, Variant id, Title, Description, Product category, Category tree, Brand, and more.
Views221+
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Pay only for successful results, no surprises – Proxies, unlocking, browsers and retries are built in.

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#1

Ranked (by AIMultiple)

99.2%

Avg. success rate

100M+

Requests weekly

400M+

Proxy IPs built in

GDPR & CCPA

Compliant

JCPenney Scraper API Pricing

Only pay for what’s successfully delivered. No hidden fees, no charges for failed deliveries.

Free Tier
5K
records
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  • 5K records per month
  • No credit card required
  • Expert support
Pay as you go
$1.5/1K record
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  • Pay only for success
  • Set monthly spend limits
  • Unlimited concurrency
  • Expert support
Scale
$499 /month
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  • 384,000 records included
  • $1.3/1K additional records
  • Unlimited concurrency
  • Cancel anytime
  • Expert support
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Most platforms stack extra charges on top of the per-record rate. With Bright Data, the record price is the whole bill:
Compute / runtime units
commonly billed per scraper runtime hour or compute unit
Included
Residential proxy bandwidth
commonly billed per GB
Included
Storage & dataset retention
commonly billed per GB-month
Included
Data transfer / egress
commonly billed per GB out
Included
Unblocking & CAPTCHA solving
commonly a paid add-on
Included
Parsing to structured JSON
commonly your own code
Included
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How it works

From zero to JCPenney data in 3 steps

No proxies to configure, no infrastructure to manage. Pick, call, and receive.

  1. Pick a scraper

    Choose from the JCPenney scrapers above or create your own with AI in minutes.

  2. 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.

  3. Get structured data

    Receive clean, parsed [current_scrper_name] data in JSON, NDJSON, or CSV. Delivered via API, webhook, or cloud storage.

Scraper API Call 
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"
Response payload 
[
  {
    "db_source": "1789607927701",
    "timestamp": "2026-09-17",
    "url": "https:\/\/www.jcpenney.com\/p\/levis-big-tall-mens-505-regular-fit-jeans\/pp5002781188?pTmplType=regular",
    "item_id": "58340100299",
    "variant_id": "58340100299",
    "title": "Levi\u0027s®  Big \u0026 Tall Mens 505™ Regular Fit Jeans",
    "description": "Meet the original zip-fly from 1967, the 505 regular. With its versatile straight leg and classic style, this fit suits ...",
    "product_category": "men\u003E jeans"
  },
  {
    "db_source": "1789607927701",
    "timestamp": "2026-09-17",
    "url": "https:\/\/www.jcpenney.com\/p\/simply-sage-market-glacier-national-park-mens-graphic-sweatshirt\/ppm6100003019?pTmplType=regu...",
    "item_id": "00057990003",
    "variant_id": "00057990003",
    "title": "Simply Sage Market - Glacier National Park - Men\u0027s Graphic Sweatshirt",
    "description": "Stay cozy and stylish in this adult fit, soft and comfortable sweatshirt. Featuring a high-quality graphic design, this ...",
    "product_category": "men\u003E shirts"
  },
  {
    "db_source": "1789607927701",
    "timestamp": "2026-09-17",
    "url": "https:\/\/www.jcpenney.com\/p\/laurenzas-baby-girls-mary-janes\/ppm6100027418?pTmplType=regular",
    "item_id": "00359080016",
    "variant_id": "00359080016",
    "title": "Laurenza\u0027s Baby Girls Mary Janes",
    "description": "These classic Mary Jane crib shoes feature a smooth faux leather finish with delicate floral cutout detailing across the...",
    "product_category": "shoes\u003E girls shoes"
  },
  {
    "db_source": "1789607927701",
    "timestamp": "2026-09-17",
    "url": "https:\/\/www.jcpenney.com\/p\/truly-soft-everyday-wrinkle-resistant-sheet-set\/ppr5007272456?pTmplType=regular",
    "item_id": "72369210018",
    "variant_id": "72369210018",
    "title": "Truly Soft Everyday Wrinkle Resistant Sheet Set",
    "description": "Revolutionary softness is what you get with this collection of super soft and easy care wrinkle free sheet sets. Deep po...",
    "product_category": "bed \u0026 bath\u003E sheets"
  },
  {
    "db_source": "1789607927701",
    "timestamp": "2026-09-17",
    "url": "https:\/\/www.jcpenney.com\/p\/saboga-home-storage-canister-with-sealed-wood-top\/ppm6100050792?pTmplType=regular",
    "item_id": "00687220001",
    "variant_id": "00687220001",
    "title": "Saboga Home™ Storage Canister with Sealed Wood Top",
    "description": "Introducing our stunning Cylinder Canister Wood Top Sealed, the ideal upgrade for your storage needs and home decor. Thi...",
    "product_category": "home store\u003E storage \u0026 organization"
  }
]
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Every scraper is built, tested, and maintained by Bright Data. No community guesswork.

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One price per record . Proxies, retries, rendering, unblocking - all included, no surprises.

Compliant and fully supported

GDPR & CCPA compliant. 24/7 human support on every plan, including free.
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Choose your path

Start collecting JCPenney data in minutes

Call the API from code, click through the control panel, or hand it to your AI agent.
Call it from code
Trigger runs with parameters, schedule recurring jobs, and deliver to your storage or webhook.
  • Build requests in any language
  • Automate with schedulers and webhooks
  • JSON, NDJSON, or CSV delivery
Run it in the control panel
No engineering required: configure inputs, run, and download results in one place.
  • Configure inputs visually
  • Run with one click
  • Download JSON or CSV
Hand it to your agent
Your agent reads SKILL.md over MCP or the CLI and scrapes on its own.

  • Works with any MCP-compatible agent
  • One prompt to scrape
  • Structured JSON straight back to your agent
Use cases

JCPenney data scraping use cases

Real-time JCPenney intelligence for your business.

Department store mapping

Category tree
Product category
Title
Scrape the category tree with titles to map how the range spans apparel, home, beauty and jewelry.

Brand portfolio coverage

Brand
Product category
Item ID
JCPenney mixes private labels with national brands. Scrape the brand field to measure how much space each holds.

Size and colourway depth

Variant ID
Item ID
Title
Scrape variant IDs against item IDs to count real buyable options per style across a broad apparel range.

Seasonal range rotation

Item ID
URL
Category tree
Diff item IDs across snapshots to separate the carryover core from seasonal additions.
By data type

Explore more JCPenney scrapers

JCPenney Image

Scrape JCPenney product images and collect elements like: image url, primary image, additional images, thumbnail, image count, alt text, url, product name.

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.



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Bright Data is used by world's top brands

JCPenney Scraper API FAQs

The JCPenney Scraper API is a powerful tool designed to automate data extraction from the JCPenney website, allowing users to efficiently gather and process large volumes of data for various use cases.

The JCPenney 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.

Yes, the JCPenney 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.

Absolutely! The JCPenney Scraper API is ideal for competitive analysis, allowing you to gather insights into your competitors' activities, trends, and strategies.

The JCPenney 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.

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 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.

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.

There are no specific usage limits for the JCPenney Scraper API, offering you the flexibility to scale as needed.

Yes, we offer dedicated support for the JCPenney Scraper API. Our support team is available 24/7 to assist you with any questions or issues you may encounter while using the API.

Amazon S3, Google Cloud Storage, Google PubSub, Microsoft Azure Storage, Snowflake, and SFTP.

JSON, NDJSON, JSON lines, CSV, and .gz files (compressed).

The easiest way to scrape JCPenney data at scale

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