# GDELT Cloud Intelligence BYOK (`smart_tech_resources/gdelt-news`) Actor Fetch GDELT Cloud Stories, Events, and Entities with your own API key and output normalized, AI-ready intelligence data for monitoring and research. - **URL**: https://apify.com/smart\_tech\_resources/gdelt-news.md - **Developed by:** [Smart Tech Resources](https://apify.com/smart_tech_resources) (community) - **Categories:** AI, Developer tools, News - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## GDELT Cloud Intelligence BYOK Collect and normalize GDELT Cloud Stories, Events, and Entities using the user provided API key. ### Input The input form is defined in `.actor/input_schema.json`. API key fields, where present, use Apify `isSecret: true`. GDELT Cloud requires your own GDELT Cloud API key. This Actor does not include GDELT Cloud API credits. ### Bring Your Own API Key (BYOK) This Actor does not include third-party API credits. You must provide your own GDELT Cloud API key. You are responsible for any third-party API usage fees. This Actor charges only for data processing, normalization, deduplication, enrichment, and Apify dataset/report generation. ### Content types Use the `contentTypes` input to choose the GDELT Cloud records to collect: - `stories` for clustered narrative Stories with top article evidence. - `events` for structured incident-level Events with categories, geography, metrics, and top article evidence. - `entities` for linked people and organizations connected to Stories and Events. - `all` to collect Stories, Events, and Entities in one mixed run. Selecting multiple content types creates a mixed output. Each dataset item includes `contentType` and `gdeltCloudId` so downstream workflows can separate records. ### Output Each dataset item follows the normalized Global News Intelligence article shape: - `sourcePlatform` - `sourceName` - `title` - `url` - `publishedAt` - `description` - `content` - `author` - `imageUrl` - `country` - `language` - `category` - `keywords` - `sentiment` - `entities` - `contentType` - `gdeltCloudId` - `significance` - `articleCount` - `raw` The key-value store record `SUMMARY` contains counts by source, publisher, country, language, category, sentiment, and date. ### Local run ```bash apify run ```` Fill the required GDELT Cloud API key in Apify before running against the provider. Do not place real API keys in source code, README examples, GitHub, public Apify examples, logs, or dataset output. # Actor input Schema ## `gdeltCloudApiKey` (type: `string`): Required. Use your own GDELT Cloud API key. This value is stored as an Apify secret input. ## `query` (type: `string`): Free-text semantic search passed to GDELT Cloud. ## `contentTypes` (type: `array`): Choose one content type, multiple content types for a mixed run, or All to collect Stories, Events, and Entities. ## `fromDate` (type: `string`): Inclusive start date in YYYY-MM-DD format. GDELT Cloud explicit windows may not exceed 30 days. ## `toDate` (type: `string`): Inclusive end date in YYYY-MM-DD format. GDELT Cloud explicit windows may not exceed 30 days. ## `dateRange` (type: `string`): Convenience date range if exact dates are not supplied. ## `country` (type: `string`): Optional plain-English country filter, for example United States, Malaysia, or South Korea. ## `region` (type: `string`): Optional plain-English region filter, for example Middle East, South Asia, or Europe. ## `continent` (type: `string`): Optional continent filter, for example Africa, Asia, Europe, North America, South America, or Oceania. ## `category` (type: `string`): Optional GDELT Cloud Event category filter, for example Battles, Protests, INFRASTRUCTURE, CRIME, or POLITICAL. ## `subcategory` (type: `string`): Optional more specific Event subtype. Requires a compatible category. ## `sort` (type: `string`): GDELT Cloud ranking mode. ## `maxArticles` (type: `integer`): Maximum normalized records to output across selected content types. ## Actor input object example ```json { "query": "attacks on energy infrastructure", "contentTypes": [ "stories", "events" ], "dateRange": "last_7_days", "sort": "significance", "maxArticles": 50 } ``` # Actor output Schema ## `articles` (type: `string`): No description ## `summary` (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 = { "query": "attacks on energy infrastructure" }; // Run the Actor and wait for it to finish const run = await client.actor("smart_tech_resources/gdelt-news").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 = { "query": "attacks on energy infrastructure" } # Run the Actor and wait for it to finish run = client.actor("smart_tech_resources/gdelt-news").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 '{ "query": "attacks on energy infrastructure" }' | apify call smart_tech_resources/gdelt-news --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=smart_tech_resources/gdelt-news", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GDELT Cloud Intelligence BYOK", "description": "Fetch GDELT Cloud Stories, Events, and Entities with your own API key and output normalized, AI-ready intelligence data for monitoring and research.", "version": "0.1", "x-build-id": "mmcfZMtmOHYI8iZmd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/smart_tech_resources~gdelt-news/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-smart_tech_resources-gdelt-news", "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/smart_tech_resources~gdelt-news/runs": { "post": { "operationId": "runs-sync-smart_tech_resources-gdelt-news", "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/smart_tech_resources~gdelt-news/run-sync": { "post": { "operationId": "run-sync-smart_tech_resources-gdelt-news", "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": [ "gdeltCloudApiKey" ], "properties": { "gdeltCloudApiKey": { "title": "GDELT Cloud API Key", "type": "string", "description": "Required. Use your own GDELT Cloud API key. This value is stored as an Apify secret input." }, "query": { "title": "Search Query", "type": "string", "description": "Free-text semantic search passed to GDELT Cloud." }, "contentTypes": { "title": "Content Types", "type": "array", "description": "Choose one content type, multiple content types for a mixed run, or All to collect Stories, Events, and Entities.", "items": { "type": "string", "enum": [ "stories", "events", "entities", "all" ], "enumTitles": [ "Stories", "Events", "Entities", "All" ] }, "default": [ "stories", "events" ] }, "fromDate": { "title": "From Date", "type": "string", "description": "Inclusive start date in YYYY-MM-DD format. GDELT Cloud explicit windows may not exceed 30 days." }, "toDate": { "title": "To Date", "type": "string", "description": "Inclusive end date in YYYY-MM-DD format. GDELT Cloud explicit windows may not exceed 30 days." }, "dateRange": { "title": "Date Range", "enum": [ "last_24_hours", "last_7_days", "last_30_days" ], "type": "string", "description": "Convenience date range if exact dates are not supplied.", "default": "last_7_days" }, "country": { "title": "Country", "type": "string", "description": "Optional plain-English country filter, for example United States, Malaysia, or South Korea." }, "region": { "title": "Region", "type": "string", "description": "Optional plain-English region filter, for example Middle East, South Asia, or Europe." }, "continent": { "title": "Continent", "type": "string", "description": "Optional continent filter, for example Africa, Asia, Europe, North America, South America, or Oceania." }, "category": { "title": "Category", "type": "string", "description": "Optional GDELT Cloud Event category filter, for example Battles, Protests, INFRASTRUCTURE, CRIME, or POLITICAL." }, "subcategory": { "title": "Subcategory", "type": "string", "description": "Optional more specific Event subtype. Requires a compatible category." }, "sort": { "title": "Sort", "enum": [ "significance", "recent" ], "type": "string", "description": "GDELT Cloud ranking mode.", "default": "significance" }, "maxArticles": { "title": "Maximum Records", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum normalized records to output across selected content types.", "default": 50 } } }, "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 } } } } } } } } } } ```