Taiwan Customs Trade Data — 進出口統計 API
Pricing
from $40.00 / 1,000 trade records
Taiwan Customs Trade Data — 進出口統計 API
Track Taiwan customs import/export trade statistics by HS code. Clean JSON for analysts and AI agents.
Taiwan Customs Trade Data — 進出口統計 API
Pricing
from $40.00 / 1,000 trade records
Track Taiwan customs import/export trade statistics by HS code. Clean JSON for analysts and AI agents.
You can access the Taiwan Customs Trade Data — 進出口統計 API programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "0Soq55XHuHsXLAr5E" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~taiwan-customs-export-trade-data/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-taiwan-customs-export-trade-data", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~taiwan-customs-export-trade-data/runs": { "post": { "operationId": "runs-sync-nexgendata-taiwan-customs-export-trade-data", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~taiwan-customs-export-trade-data/run-sync": { "post": { "operationId": "run-sync-nexgendata-taiwan-customs-export-trade-data", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "data_type": { "title": "Data type (出進口資料類型)", "enum": [ "exports", "imports", "trade_balance", "all" ], "type": "string", "description": "Which trade aggregate to emit. 'exports' = export value (UN Comtrade flow X), 'imports' = import value (flow M), 'trade_balance' = export minus import (derived from real values), 'all' = emit exports + imports + balance for every cell.", "default": "all" }, "partner_country_filter": { "title": "Partner country filter (貿易夥伴國別)", "type": "string", "description": "Optional ISO-3166-1 alpha-2 country code (e.g. 'US', 'CN', 'JP', 'HK', 'KR') or a raw UN M49 numeric code. Leave empty to sweep Taiwan's top-8 trading partners." }, "hs_code_filter": { "title": "HS commodity code (HS 海關商品分類)", "type": "string", "description": "Optional Harmonized System code (2-, 4-, or 6-digit), or 'TOTAL' for all commodities. Examples: '85' (electrical machinery), '8542' (integrated circuits), '8471' (computers). Leave empty to sweep TW's top-6 commodity classes." }, "date_from": { "title": "Date from (起始日期, ISO YYYY-MM-DD)", "type": "string", "description": "Inclusive start of the reporting window. NOTE: UN Comtrade data for this reporter is ANNUAL, so only the YEAR is used. Defaults to 3 years ago." }, "date_to": { "title": "Date to (結束日期, ISO YYYY-MM-DD)", "type": "string", "description": "Inclusive end of the reporting window. NOTE: only the YEAR is used (annual data). Defaults to last year (annual data lags 1-2 years)." }, "max_records": { "title": "Maximum records (筆數上限)", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Hard cap on emitted dataset items (1-1000). Useful for sample / smoke runs.", "default": 100 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Taiwan Customs Trade Data — 進出口統計 API from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: