# GDELT Global News & Event Tracker – Media Monitoring API (`deadwood_data_solutions/gdelt-global-news-event-tracker`) Actor Structured GDELT feed of worldwide news coverage and events by keyword, tone, theme and country. For media monitoring, risk intelligence, brand and geopolitical-analysis teams. - **URL**: https://apify.com/deadwood\_data\_solutions/gdelt-global-news-event-tracker.md - **Developed by:** [K O](https://apify.com/deadwood_data_solutions) (community) - **Categories:** Developer tools, Business, News - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## GDELT Global News & Event Tracker – Media Monitoring API A **GDELT API** wrapper and global media-monitoring feed that searches worldwide news coverage by keyword, phrase, country or language and normalizes each article into a clean record: title, URL, domain, publish date, source country and language. Use it to build a **brand or topic monitor**, a geopolitical-risk feed, a PR-coverage tracker, or a news dataset spanning 100+ languages and countries. ### Who uses it PR and communications teams, brand and reputation monitors, risk-intelligence and geopolitical-analysis firms, researchers, and media-analytics products. ### Why this is worth charging for GDELT indexes global news in near-real time across languages — coverage most media-monitoring tools charge heavily for. Its DOC API returns compact article lists with a nonstandard date format. This actor normalizes dates to ISO, deduplicates by URL, and delivers a keyword- or country-scoped news feed you can monitor on a schedule. ### Output Each dataset item is one normalized record: ```json { "title": "Big Event Happens", "url": "https://news.example.com/story", "domain": "news.example.com", "seenDate": "2024-05-01T12:00:00Z", "sourceCountry": "United States", "language": "English", "socialImage": "https://img/x.jpg", "source": "GDELT" } ```` ### Input | Field | Description | |---|---| | `query` | Keyword or phrase (GDELT query syntax supported), e.g. "electric vehicle" recall. Required. | | `timespan` | Lookback window, e.g. 1d, 3d, 1w, 1m. Leave blank for GDELT default. | | `sourceCountry` | Restrict to a source country code, e.g. US, GB, FR. | | `sourceLang` | Restrict to a language, e.g. english, spanish. | | `sort` | Result ordering. | | `maxRecords` | Articles to return (GDELT max 250). | | `onlyNewSinceLastRun` | Recommended for schedules — skips records already returned by a previous run using persisted state, so you're only charged for genuinely new items. | | `maxItems` | Stop after this many normalized records. | ### Pricing (Pay-Per-Event) - **`query`** — $0.01, charged once per run for the API query/poll. - **`article-record`** — $0.005 per normalized record pushed. This is the primary event. - `apify-actor-start` (Apify-managed) — covers baseline compute per run. Each run returns up to 250 articles for a dollar or two. A scheduled hourly brand monitor with onlyNewSinceLastRun bills only newly-seen articles, keeping ongoing cost low. ### Source & reliability Data comes from the official `api.gdeltproject.org/api/v2/doc` service. GDELT's seendate format is normalized to ISO. No key or proxies required. Run `npm test` for the offline self-test covering the normalizer, including edge cases and missing-field handling. ### FAQ **Do I need an API key?** No — GDELT's DOC API is open. Just provide a query and optional filters. **Can I monitor a brand across countries?** Yes. Set your query and (optionally) sourceCountry/sourceLang, then schedule with onlyNewSinceLastRun for continuous coverage tracking. *** *SEO keywords: GDELT API, news monitoring API, global media tracker, brand monitoring feed, news scraper, geopolitical risk news API* # Actor input Schema ## `query` (type: `string`): Keyword or phrase (GDELT query syntax supported), e.g. "electric vehicle" recall. Required. ## `timespan` (type: `string`): Lookback window, e.g. 1d, 3d, 1w, 1m. Leave blank for GDELT default. ## `sourceCountry` (type: `string`): Restrict to a source country code, e.g. US, GB, FR. ## `sourceLang` (type: `string`): Restrict to a language, e.g. english, spanish. ## `sort` (type: `string`): Result ordering. ## `maxRecords` (type: `integer`): Articles to return (GDELT max 250). ## `maxItems` (type: `integer`): Stop after this many normalized records have been pushed. Leave blank for no limit (bounded by pagination settings). ## `onlyNewSinceLastRun` (type: `boolean`): Recommended for scheduled runs. Uses persisted state to skip records already returned earlier, so a recurring schedule only charges for genuinely new items. ## Actor input object example ```json { "sort": "DateDesc", "maxRecords": 75, "onlyNewSinceLastRun": true } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("deadwood_data_solutions/gdelt-global-news-event-tracker").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 = {} # Run the Actor and wait for it to finish run = client.actor("deadwood_data_solutions/gdelt-global-news-event-tracker").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 '{}' | apify call deadwood_data_solutions/gdelt-global-news-event-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=deadwood_data_solutions/gdelt-global-news-event-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GDELT Global News & Event Tracker – Media Monitoring API", "description": "Structured GDELT feed of worldwide news coverage and events by keyword, tone, theme and country. For media monitoring, risk intelligence, brand and geopolitical-analysis teams.", "version": "1.0", "x-build-id": "DZaxKz1b2u2JqaEjE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/deadwood_data_solutions~gdelt-global-news-event-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-deadwood_data_solutions-gdelt-global-news-event-tracker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/deadwood_data_solutions~gdelt-global-news-event-tracker/runs": { "post": { "operationId": "runs-sync-deadwood_data_solutions-gdelt-global-news-event-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/deadwood_data_solutions~gdelt-global-news-event-tracker/run-sync": { "post": { "operationId": "run-sync-deadwood_data_solutions-gdelt-global-news-event-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search query", "type": "string", "description": "Keyword or phrase (GDELT query syntax supported), e.g. \"electric vehicle\" recall. Required." }, "timespan": { "title": "Timespan", "type": "string", "description": "Lookback window, e.g. 1d, 3d, 1w, 1m. Leave blank for GDELT default." }, "sourceCountry": { "title": "Source country", "type": "string", "description": "Restrict to a source country code, e.g. US, GB, FR." }, "sourceLang": { "title": "Source language", "type": "string", "description": "Restrict to a language, e.g. english, spanish." }, "sort": { "title": "Sort", "enum": [ "DateDesc", "DateAsc", "ToneDesc", "ToneAsc", "HybridRel" ], "type": "string", "description": "Result ordering.", "default": "DateDesc" }, "maxRecords": { "title": "Max records", "minimum": 1, "maximum": 250, "type": "integer", "description": "Articles to return (GDELT max 250).", "default": 75 }, "maxItems": { "title": "Maximum records to return", "minimum": 1, "type": "integer", "description": "Stop after this many normalized records have been pushed. Leave blank for no limit (bounded by pagination settings)." }, "onlyNewSinceLastRun": { "title": "Only return records not seen in a previous run", "type": "boolean", "description": "Recommended for scheduled runs. Uses persisted state to skip records already returned earlier, so a recurring schedule only charges for genuinely new items.", "default": true } } }, "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 } } } } } } } } } } ```