# Korea Corporate Intelligence - Macroeconomic Context (`ntriqpro/korea-corporate-intelligence`) Actor Combine World Bank Korea indicators (GDP, inflation, unemployment, trade) with GDELT news mentions for any Korean company. Historical context only. CC-BY 4.0 sources. - **URL**: https://apify.com/ntriqpro/korea-corporate-intelligence.md - **Developed by:** [daehwan kim](https://apify.com/ntriqpro) (community) - **Categories:** Business, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $200.00 / 1,000 korean company analyses This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Korea Corporate Intelligence Aggregate Korean macroeconomic context (World Bank) and news sentiment (GDELT) for any Korean company. Returns historical economic indicators and news mentions with corporate context score. ### Features - **World Bank Korea Data**: GDP growth, inflation, unemployment, exports, imports (5 indicators) - **GDELT News Analysis**: 30-day company news mentions with sample headlines - **Corporate Context Scoring**: 0-100 score based on economic indicators and news engagement - **Graceful Degradation**: Works with partial data; always returns what's available ### Input ```json { "companyName": "Samsung Electronics" } ```` - `companyName` (required): Korean or English company name ### Output ```json { "companyName": "Samsung Electronics", "analysisTimestamp": "2026-04-08T12:34:56.789Z", "worldBankData": { "gdpGrowth": 2.0, "inflation": 2.32, "unemployment": 2.5, "exports": 657.2e9, "imports": 547.3e9 }, "gdpGrowthRate": 2.0, "inflationRate": 2.32, "unemploymentRate": 2.5, "exportsValue": 657.2e9, "importsValue": 547.3e9, "gdeltNewsCount": 45, "gdeltHeadlines": [ { "title": "Samsung Electronics Q1 earnings...", "url": "https://example.com/...", "seenDate": "20260408" } ], "corporateContextScore": 72, "disclaimer": "...", "sources": [...] } ``` ### Data Sources 1. **World Bank Open Data** - CC-BY 4.0 - GDP growth (annual %) - Inflation rate (annual %) - Unemployment rate (%) - Exports (USD) - Imports (USD) - URL: https://data.worldbank.org/ 2. **The GDELT Project** - CC-BY 4.0 - 30-day news mention count - Sample headlines with timestamps - URL: https://www.gdeltproject.org/ ### ⚠️ Legal Disclaimer This Actor aggregates publicly available macroeconomic data from: - World Bank Open Data (CC-BY 4.0) - The GDELT Project (CC-BY 4.0) **NOT investment, business, or legal advice.** This Actor provides historical data aggregation only. - Does NOT evaluate corporate creditworthiness, financial health, or stock valuation - Does NOT recommend business decisions, partnerships, or trading actions - Does NOT forecast corporate performance - Does NOT constitute due diligence or legal advice - Korean legal and regulatory environment requires local expert consultation - Users must verify all data with original sources and professional advisors Attribution: - "Data source: The World Bank (CC BY 4.0)" - "Data source: The GDELT Project (CC BY 4.0)" ### Pricing Pay-per-event: $0.20 per company analysis. ### Examples ```bash ## Local test npm install npm start ## Push to Apify apify push ## Run on Apify cloud apify call --input='{"companyName":"Samsung Electronics"}' ## Test with different company apify call --input='{"companyName":"Hyundai Motor"}' ``` ### Support For issues or data verification questions, contact: contact@ntriq.co.kr # Actor input Schema ## `companyName` (type: `string`): Korean company name (English or Korean). E.g., 'Samsung Electronics', '삼성전자' ## Actor input object example ```json { "companyName": "Samsung Electronics" } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "companyName": "Samsung Electronics" }; // Run the Actor and wait for it to finish const run = await client.actor("ntriqpro/korea-corporate-intelligence").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "companyName": "Samsung Electronics" } # Run the Actor and wait for it to finish run = client.actor("ntriqpro/korea-corporate-intelligence").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "companyName": "Samsung Electronics" }' | apify call ntriqpro/korea-corporate-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ntriqpro/korea-corporate-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Korea Corporate Intelligence - Macroeconomic Context", "description": "Combine World Bank Korea indicators (GDP, inflation, unemployment, trade) with GDELT news mentions for any Korean company. Historical context only. CC-BY 4.0 sources.", "version": "1.0", "x-build-id": "WWKnaB861v7BIH0GL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ntriqpro~korea-corporate-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ntriqpro-korea-corporate-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ntriqpro~korea-corporate-intelligence/runs": { "post": { "operationId": "runs-sync-ntriqpro-korea-corporate-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ntriqpro~korea-corporate-intelligence/run-sync": { "post": { "operationId": "run-sync-ntriqpro-korea-corporate-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "companyName" ], "properties": { "companyName": { "title": "Company Name", "type": "string", "description": "Korean company name (English or Korean). E.g., 'Samsung Electronics', '삼성전자'" } } }, "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 } } } } } } } } } } ```