Catalogue of goods subject to export licensing
Organises structurable fields from the catalogues — goods name, commodity code, licence administration method, effective information and source file.
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Turn public trade control rules into data that can enter enterprise systems.
The Ministry of Commerce, General Administration of Customs and other departments continuously publish import/export licensing and dual-use control information through catalogues, notices and web pages. GooFuture collects, parses, standardises and links the public data by source, helping companies cut duplicated work and feed rule data into internal screening, review and business systems.
From "looking up catalogues by hand" to "systems calling data".
Structured JSON dataBuilt for enterprise system integrationRetains rule source and effective information
85********This button only illustrates the static data structure and does not run a real query.
The sample only illustrates the data structure.An actual control determination may also involve technical parameters, use, end user, destination and current regulatory requirements.
The real problem for companies is usually not whether public data exists, but how to get it reliably into order review, product management, customs, supply chain or internal compliance systems.
Catalogues, notices, HTML and PDF are not uniformly structured.Business impact:Systems cannot consume them directly; teams must keep downloading, parsing and standardising fields.
Commodity codes, control codes, item descriptions and technical parameters may need to be used together.Business impact:A simple HS code hit cannot replace professional item identification and compliance judgement.
The annual catalogue is updated, and new notices and adjustments may appear in between.Business impact:Keeping just one static table makes it hard to say when a rule was in force or which file it came from.
One-off lookups can be done manually, but large volumes of products, orders or system requests create repetitive work.Business impact:Product, compliance and technology teams must maintain their own rule data layer.
GooFuture does not replace regulators, nor does it replace your own compliance judgement.We solve the collection, organisation, maintenance and system delivery of rule data.
Retains catalogue entries, timing information and source files so structured records can always be traced back to the original public information for verification.
Organises structurable fields from the catalogues — goods name, commodity code, licence administration method, effective information and source file.
Organises import-licensed goods and related catalogue information while retaining the corresponding rule source and effective period.
Organises queryable data around control codes, item descriptions, commodity code mappings, technical descriptions and source files.
Data comes mainly from information publicly published by government departments including the Ministry of Commerce and the General Administration of Customs of the People's Republic of China. GooFuture is an independent third-party data service provider.
Catalogues, notices and web pages are processed uniformly into data records that can enter enterprise screening, review and data governance workflows.
Continuously compiling catalogues, notices and related rule documents published by government departments.
source.capture()Extracts structurable catalogue and rule fields from PDF, HTML and similar sources.
document.parse()Unifies field formats for dates, commodity codes, control codes, rule types and source information.
schema.normalize()Organises the catalogue entries, notices, codes and descriptions for one rule into a unified data record.
record.resolve()Records source files, effective periods and identifiable version relationships between rules.
version.link()Integrate into the customer’s existing systems through structured data or API per the project plan.
data.deliver()Customers no longer need to maintain the original web pages and PDFs,Free up more effort for actual screening, verification and business decisions.
Data scope, fields, delivery method and update requirements are governed by the service plan both sides finally confirm.
Converts the annual import/export licensing catalogues into uniformly structured data records.
Applies to:ERP, customs systems, order review, product management and internal trade rule libraries.
Organises dual-use related control codes, item descriptions, technical conditions and public sources into searchable data records.
Identifying dual-use items is not simply HS code matching.For specific products, further verification against technical parameters and current regulatory requirements is still required.
Applies to:Manufacturers, export compliance systems, product master data systems and trade review workflows.
Retains rule source, effective date, publish information and version relationships in the structured record.
Applies to:Internal audit, rule traceability, historical review and data governance.
Explore the data structureRetains the context needed for further business judgement.
The field structure is organised around rule type, import/export direction, commodity and control codes, technical conditions, effective dates and source information, so teams can continue screening, verifying and linking.
Actual fields depend on the specific data source and service plan.Fields not present in the source file are not filled in without basis.
record_idrule_typetrade_directioncommodity_namehs_codecontrol_codecontrol_descriptiontechnical_conditionslicense_typeeffective_fromeffective_tosource_authoritysource_documentsource_urldata_versionupdated_atConnect public rule data into existing order, product, supply chain and customs workflows, and route candidate records to business or compliance staff for further review.
Before accepting export orders or arranging shipment, look up the relevant licence catalogues and control rules based on product information, and pass records that may need further verification to business or compliance staff.
Maintain commodity codes, control codes, related rules and the reasoning behind them around your product library, using public rule data as one of the foundations for internal item classification.
Integrates trade licensing and dual-use item data into order, product, supply chain or customs features.
Match rules against customer product data and route records that may involve licensing or dual-use requirements into manual review.
The following is a snapshot of public information at the time the page was produced, to illustrate catalogue counts, effective dates and the update characteristics of the original data sources.
Based on the Catalogue of Goods Subject to Export Licensing (2026) issued by the Ministry of Commerce and the General Administration of Customs.
Different specific policies and subsequent notices may have their own effective dates; the corresponding document prevails.
This is the update characteristic of the original public data source and does not represent GooFuture service sync frequency.
The above is a snapshot of public information at the time the page was produced, solely to illustrate the characteristics of the data.For specific business determinations, the laws, regulations, regulatory requirements and government-published information in force at the time prevail.
From multi-source parsing and field standardisation to organising source and effective information — so public rules can be used continuously by enterprise systems.
Subject:PDF, HTML, notices, annual catalogues. Reduces duplicated parsing logic across business systems for different web pages and files.
Different formats → unified fieldsSubject:Commodity codes, control codes and other identifiable codes — for queries, filtering and internal data linking.
Scattered fields → unified structureSubject:Each structured rule record. Query results can always be traced back to the original document for further verification.
Isolated data → traceable sourceSubject:Publish date, effective date and clearly identifiable repeal or supersession information, so you can tell which version of the rules you are looking at.
Static files → time-dimensioned dataSubject:Catalogue and rule changes published later by the public data sources — reducing the cost of maintaining public data sources internally.
One-off download → continuously maintained data serviceConfirm the actual data scope and delivery conditions first, then integrate into your existing systems per the project plan.
Tell us the data scope you need, your business scenario, expected usage and your current systems.
Both sides confirm data scope, fields, delivery method, call volume, update requirements and technical support needs.
Provide the data description and delivery method per the final plan, for the customer to integrate into existing systems.
Pricing depends on data scope, call volume, update requirements, delivery method and technical support needs.
A single data catalogue or low-frequency business lookups.
Companies that need to integrate multiple trade licensing datasets into internal systems.
ERP, SaaS, supply chain or trade service platforms.
Large enterprises, platforms or customers with special data requirements.
Straight answers on public sources, query boundaries, system integration, historical versions and billing.
You can query the public data directly. GooFuture’s value is not in replacing government websites but in organising catalogues, notices and differently formatted data into a unified structure that makes system integration, bulk processing and internal data maintenance easier.
Data is mainly compiled from catalogues, notices and related information publicly published by government departments including the Ministry of Commerce and the General Administration of Customs of the People's Republic of China. Each record retains the corresponding source file and timing information wherever possible for further verification.
A final conclusion cannot be drawn from an HS code alone. Some public data maps commodity codes to control information, but identifying a specific item may also involve control codes, technical parameters, performance, use and other regulatory conditions. GooFuture can provide the relevant rule data for enterprise screening and further review.
We can organise structured data around the public export licensing catalogue, including fields that can be confirmed in the source document such as goods name, commodity code, administration requirements, effective information and source. The exact queryable fields depend on the final data plan.
We can include the public import licensing catalogue in the data scope and use a unified data structure with export licensing and related trade controls data. Exact coverage is governed by the service plan both sides confirm.
Government data is not published on a fixed schedule. GooFuture maintains the data as the public sources change; the exact sync frequency and update service are agreed in your data plan. This page does not promise unconfirmed real-time or fixed hourly updates.
Structured data delivery suited to system integration can be provided per the project plan. REST API, JSON data, call volumes and other technical requirements are confirmed before integration, per the actual technical proposal.
No. GooFuture provides a structured data service based on public trade control information for lookup, screening and business process reference. It does not constitute legal advice and does not replace a company’s professional verification of commodity classification, technical parameters, end user, end use, destination and current regulatory requirements.
The data model can retain source files, publish dates, effective dates and clearly identifiable rule version information. The exact historical coverage and queryable range should be confirmed during project integration; this page does not promise data ranges that have not been organised.
We currently work on a consultative enterprise basis. Pricing depends on data scope, call volume, update requirements, delivery method and technical support needs — contact a GooFuture consultant for a proposal.
From catalogue collection and field cleaning to organising rule sources and versions, GooFuture converts scattered public trade licensing and dual-use item data into a data layer suited to enterprise systems.