Taiwan MOPS Announcements — 台股重大訊息 API
Pricing
from $100.00 / 1,000 disclosure records
Taiwan MOPS Announcements — 台股重大訊息 API
Monitor Taiwan MOPS listed-company announcements. Clean JSON for analysts and AI agents.
Taiwan MOPS Announcements — 台股重大訊息 API
Pricing
from $100.00 / 1,000 disclosure records
Monitor Taiwan MOPS listed-company announcements. Clean JSON for analysts and AI agents.
You can access the Taiwan MOPS Announcements — 台股重大訊息 API programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "JfMdfLDcVQGrJGQfC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~taiwan-mops-company-announcements/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-taiwan-mops-company-announcements", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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-mops-company-announcements/runs": { "post": { "operationId": "runs-sync-nexgendata-taiwan-mops-company-announcements", "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-mops-company-announcements/run-sync": { "post": { "operationId": "run-sync-nexgendata-taiwan-mops-company-announcements", "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": { "date_from": { "title": "From date (ISO YYYY-MM-DD, TPE)", "type": "string", "description": "Start of the disclosure date range, inclusive. ISO format YYYY-MM-DD, interpreted in Taipei time (UTC+8). Default is 7 days before today (TPE). TWSE OpenAPI feeds carry the current snapshot — older dates may not appear in every bucket.", "default": "" }, "date_to": { "title": "To date (ISO YYYY-MM-DD, TPE)", "type": "string", "description": "End of the disclosure date range, inclusive. ISO format YYYY-MM-DD, interpreted in Taipei time (UTC+8). Default is today (TPE). Weekends + Taiwan exchange holidays return zero rows in the material-announcements bucket; reference buckets (officer holdings, IPO pipeline) are snapshot-style and unaffected.", "default": "" }, "company_filter": { "title": "Company name filter (Traditional Chinese or English, optional)", "type": "string", "description": "Optional substring filter against the Traditional-Chinese company name as it appears on TWSE OpenAPI (e.g. 鴻海, 台積電, TSMC). Case-insensitive partial match. Leave blank to return every issuer.", "default": "" }, "ticker_filter": { "title": "Ticker filter (4-digit Taiwanese securities code, optional)", "type": "string", "description": "Optional 4-digit Taiwanese securities code (公司代號). Examples: 2330 (TSMC), 2317 (Hon Hai / Foxconn), 2454 (MediaTek). Leave blank to return every issuer.", "default": "" }, "disclosure_type": { "title": "Disclosure type filter", "enum": [ "all", "material_announcements", "tender_offers", "governance", "market_changes", "new_listing" ], "type": "string", "description": "Filter rows to a single TWSE OpenAPI bucket. 'material_announcements' = t187ap04_L 重大訊息 (event-driven trader feed); 'tender_offers' = t187ap08_L 5%+ shareholder filings (closest TWSE OpenAPI proxy to tender-offer/activist signal); 'governance' = t187ap03_L 董監事持股 (officer holdings); 'market_changes' = t187ap05_L 月營收 (monthly revenue, earnings proxy); 'new_listing' = company/newlisting IPO pipeline. 'all' pulls every bucket.", "default": "all" }, "max_disclosures": { "title": "Maximum disclosures", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of disclosure rows to return across all buckets. Each row pushed to the dataset is one billable 'disclosure-record' event. Range 1-1000.", "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 }, "PROXY_UNBLOCKER_UNITS": { "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 }, "PROXY_UNBLOCKER_UNITS": { "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 MOPS Announcements — 台股重大訊息 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: