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JINGHAI DATAJINGHAI DATA · DATA API
Enterprise global data infrastructure

Turn global platform data into
Business-ready endpoints

Coverage spans cross-border commerce, content and social media, local-life services, and business intelligence. Raw data is cleaned, normalized, and quality-checked before delivery in stable field structures.

Explore the interactive examples directly; project credentials are provisioned for the selected scope

STRUCTURED RESPONSE
GET /api/shopee/v2/product/detail
200 success · jhzy.shopee.product.detail
price.currencyTWD
price.current1880.00
sku.combinations7
216Endpoints
17Data platforms
16Markets covered
Billed on successful responsesFailed requests do not count toward usage
2026-09-21Documentation updated
DATA PRODUCTS

17 platforms, one standardized data gateway

Choose a platform by use case, then review capabilities, request parameters, response fields, and examples on its product page.

Choose a platform to evaluate data coverage and integration options.Browse the complete developer docs →
BUSINESS USE CASES

From data endpoints to business decisions

Capabilities are organized around four core workflows: sourcing, growth, local-life intelligence, and research—not a loose list of platform features.

01

Cross-border product and pricing intelligence

Unify product, SKU, price, sales, and inventory structures for product discovery, price comparison, and catalog monitoring.

  • Product Detail
  • SKU matrix
  • Price monitoring
  • Store analysis
02

Content growth and brand intelligence

Aggregate account, content, comment, trending-search, and topic data to provide consistent inputs for content insights and brand research.

  • Creator research
  • Content tracking
  • Reviews and reputation
  • Trend discovery
03

Local-life and food-service intelligence

Combine restaurant, menu, dish-price, and map-business data for regional expansion, location research, and food-service analysis.

  • Restaurant search
  • Full menus
  • Dish pricing
  • Map businesses
04

Market research and business decisions

Align multi-platform data into analysis-ready fields for data warehouses, BI dashboards, and internal decision systems.

  • Market sizing
  • Competitor changes
  • Regional analysis
  • Scheduled delivery
API PLAYGROUND

Understand the integration in 30 seconds

Choose a representative platform and endpoint, switch between cURL, Python, or Node.js, and inspect the standard request and response structure.

curl --get 'https://jhzyapi.com/api/shopee/v2/product/detail?token=YOUR_TOKEN&site=TW&shopId=526184774&itemId=24428454365'

Example:Use it to review field structure and integration flow without consuming project quota.

RESPONSE · JSONInteractive example · 200 OK
{
  "code": "success",
  "api": "jhzy.shopee.product.detail",
  "data": {
    "product": {
      "item_id": "24428454365",
      "name": "Example product"
    },
    "price": {
      "currency": "TWD",
      "current": 1880.0
    },
    "sku": {
      "dimension_count": 1,
      "combination_count": 7
    }
  }
}
FIELD GOVERNANCE

Field governance is complete before delivery

Preserve the original meaning while delivering computable, ingestion-ready, cross-platform-consistent structures that reduce downstream data cleaning.

From display text to computable fields

Prices, sales, SKUs, and timestamps use stable structures, with essential raw values retained for traceability.

PLATFORM RAW"price": "NT$1,880 - NT$2,450"
"sold": "21K sold"
JINGHAI NORMALIZED"currency": "TWD"
"min": 1880.0
"sales_value": 21000
Type validationCurrency separationNumeric normalizationRaw-value retention
JINGHAI DATA field governance workflowPlatform data is collected, cleaned, normalized, and quality-checked before delivery through APIs and batch jobs. 0102030405 CollectCleanNormalizeQuality checkDeliver
Raw dataCross-platform schema
CleanDenoise and parse
Field normalizationConsistent type definitions
Quality validationSchema and boundary checks
Enterprise deliveryAPI / batch jobs
PRODUCT TRANSPARENCY

Evaluation, procurement, and integration information in one place

Review documentation and interactive examples, then confirm billing and service information to shorten technical evaluation.

Developer docs

Quickstart, authentication, error codes, pagination, retry guidance, plus parameters and response samples for every endpoint.

Open documentation center

Pricing guide

Billed on successful responses, with tiered plans based on request volume. Exact ranges are confirmed by platform, endpoint, and usage.

Review billing

Service information

Review platform coverage, documentation updates, and maintenance records; project service metrics follow the applicable plan.

View service status
FAQ

Integration FAQs

Can I review the response structure before integration?

Yes. The homepage Playground provides interactive examples; after a test request, the project test scope is confirmed for your requirements.

Which requests count toward usage?

Billed on successful responses; failed requests do not count toward usage. See the pricing page and service plan for endpoint-specific details.

Are response fields ready for direct ingestion?

Core fields are type-checked and structurally normalized. Product pages list request parameters and response samples; map fields to your business model during integration.

Can fields be added beyond the standard endpoint?

Submit the target platforms, sites, field list, request volume, and update frequency for an assessment of delivery scope and timeline.

Where can I see the latest endpoint status?

The status page presents platform coverage, documentation updates, and maintenance records; product pages provide complete endpoint lists and guidance.

Request test access and integration assessment

Describe the target platforms, fields, and request volume so we can recommend endpoints and define the integration scope.

After submission, a technical or commercial specialist will follow up based on your requirements.