# Master News Aggregator (`smart_tech_resources/master-news-aggregator`) Actor Aggregate Google News RSS, curated RSS, GDELT Cloud, and premium news APIs into normalized, AI-ready news data for monitoring and reporting. - **URL**: https://apify.com/smart\_tech\_resources/master-news-aggregator.md - **Developed by:** [Smart Tech Resources](https://apify.com/smart_tech_resources) (community) - **Categories:** AI, Developer tools, News - **Stats:** 2 total users, 1 monthly users, 100.0% 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 ## Master News Aggregator Collect, merge, deduplicate, enrich, and summarize selected Global News Intelligence sources. ### Input The input form is defined in `.actor/input_schema.json`. API key fields, where present, use Apify `isSecret: true`. The Master Aggregator can run both free/open sources and premium API sources. GDELT Cloud and premium sources require BYOK secret inputs. ### Bring Your Own API Key (BYOK) This Actor does not include third-party API credits. If you enable premium sources such as GDELT Cloud, NewsAPI, Mediastack, NewsData.io, or Event Registry, you must provide your own 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. ### GDELT Cloud When `sourcePlatforms` includes `gdelt`, provide `gdeltCloudApiKey` and choose `gdeltContentTypes`: - `stories` - `events` - `entities` - `all` Selecting multiple content types creates a mixed output. GDELT Cloud items include `contentType`, `gdeltCloudId`, `significance`, and `articleCount` when available. ### 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 ```` For premium BYOK actors, fill the required secret input 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 ## `query` (type: `string`): Keyword, phrase, topic, or search query to collect news for. ## `category` (type: `string`): Optional category label to attach to normalized output. ## `countries` (type: `array`): Country hints/filters passed to selected source adapters. ## `languages` (type: `array`): Language hints/filters passed to selected source adapters. ## `dateRange` (type: `string`): Convenience range converted to fromDate/toDate for supported sources. ## `fromDate` (type: `string`): Optional explicit start date in YYYY-MM-DD format. ## `toDate` (type: `string`): Optional explicit end date in YYYY-MM-DD format. ## `maxArticles` (type: `integer`): Maximum number of normalized articles to output. ## `sourcePlatforms` (type: `array`): News sources to collect and merge. Supported values: google\_news\_rss, curated\_rss, gdelt, newsapi, mediastack, newsdata, event\_registry. GDELT and premium API sources require BYOK secret inputs. ## `gdeltCloudApiKey` (type: `string`): Optional. Required only when GDELT Cloud source is enabled. Stored as Apify secret input. ## `gdeltContentTypes` (type: `array`): GDELT Cloud record types to collect when sourcePlatforms includes gdelt. ## `gdeltSort` (type: `string`): GDELT Cloud ranking mode when sourcePlatforms includes gdelt. ## `newsApiKey` (type: `string`): Optional. Required only when NewsAPI source is enabled. Stored as Apify secret input. ## `mediastackApiKey` (type: `string`): Optional. Required only when Mediastack source is enabled. Stored as Apify secret input. ## `newsDataApiKey` (type: `string`): Optional. Required only when NewsData.io source is enabled. Stored as Apify secret input. ## `eventRegistryApiKey` (type: `string`): Optional. Required only when Event Registry source is enabled. Stored as Apify secret input. ## `deduplicate` (type: `boolean`): Remove duplicate article URLs/titles before output. ## `includeSentiment` (type: `boolean`): Normalized records include a lightweight sentiment label. ## `includeEntities` (type: `boolean`): Normalized records include basic entity extraction. ## `includeTrendSummary` (type: `boolean`): The SUMMARY record includes source, sentiment, country, and timeline counts. ## Actor input object example ```json { "query": "artificial intelligence regulation", "category": "technology", "countries": [ "US", "GB", "MY", "SG" ], "languages": [ "en" ], "dateRange": "last_7_days", "maxArticles": 200, "sourcePlatforms": [ "google_news_rss", "curated_rss" ], "gdeltContentTypes": [ "stories", "events" ], "gdeltSort": "significance", "deduplicate": true, "includeSentiment": true, "includeEntities": true, "includeTrendSummary": true } ``` # 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": "artificial intelligence regulation" }; // Run the Actor and wait for it to finish const run = await client.actor("smart_tech_resources/master-news-aggregator").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": "artificial intelligence regulation" } # Run the Actor and wait for it to finish run = client.actor("smart_tech_resources/master-news-aggregator").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": "artificial intelligence regulation" }' | apify call smart_tech_resources/master-news-aggregator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=smart_tech_resources/master-news-aggregator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Master News Aggregator", "description": "Aggregate Google News RSS, curated RSS, GDELT Cloud, and premium news APIs into normalized, AI-ready news data for monitoring and reporting.", "version": "0.1", "x-build-id": "BdEQQIDS6lK15JsSY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/smart_tech_resources~master-news-aggregator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-smart_tech_resources-master-news-aggregator", "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~master-news-aggregator/runs": { "post": { "operationId": "runs-sync-smart_tech_resources-master-news-aggregator", "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~master-news-aggregator/run-sync": { "post": { "operationId": "run-sync-smart_tech_resources-master-news-aggregator", "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": [ "query", "sourcePlatforms" ], "properties": { "query": { "title": "Search Query", "type": "string", "description": "Keyword, phrase, topic, or search query to collect news for." }, "category": { "title": "Category", "enum": [ "world", "business", "technology", "science", "health", "sports", "entertainment", "environment", "general" ], "type": "string", "description": "Optional category label to attach to normalized output.", "default": "technology" }, "countries": { "title": "Countries", "type": "array", "description": "Country hints/filters passed to selected source adapters.", "items": { "type": "string" }, "default": [ "US", "GB", "MY", "SG" ] }, "languages": { "title": "Languages", "type": "array", "description": "Language hints/filters passed to selected source adapters.", "items": { "type": "string" }, "default": [ "en" ] }, "dateRange": { "title": "Date Range", "enum": [ "last_24_hours", "last_7_days", "last_30_days" ], "type": "string", "description": "Convenience range converted to fromDate/toDate for supported sources.", "default": "last_7_days" }, "fromDate": { "title": "From Date", "type": "string", "description": "Optional explicit start date in YYYY-MM-DD format." }, "toDate": { "title": "To Date", "type": "string", "description": "Optional explicit end date in YYYY-MM-DD format." }, "maxArticles": { "title": "Maximum Articles", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of normalized articles to output.", "default": 200 }, "sourcePlatforms": { "title": "Source Platforms", "type": "array", "description": "News sources to collect and merge. Supported values: google_news_rss, curated_rss, gdelt, newsapi, mediastack, newsdata, event_registry. GDELT and premium API sources require BYOK secret inputs.", "items": { "type": "string" }, "default": [ "google_news_rss", "curated_rss" ] }, "gdeltCloudApiKey": { "title": "GDELT Cloud API Key", "type": "string", "description": "Optional. Required only when GDELT Cloud source is enabled. Stored as Apify secret input." }, "gdeltContentTypes": { "title": "GDELT Content Types", "type": "array", "description": "GDELT Cloud record types to collect when sourcePlatforms includes gdelt.", "items": { "type": "string", "enum": [ "stories", "events", "entities", "all" ], "enumTitles": [ "Stories", "Events", "Entities", "All / Mixed" ] }, "default": [ "stories", "events" ] }, "gdeltSort": { "title": "GDELT Sort", "enum": [ "significance", "recent" ], "type": "string", "description": "GDELT Cloud ranking mode when sourcePlatforms includes gdelt.", "default": "significance" }, "newsApiKey": { "title": "NewsAPI Key", "type": "string", "description": "Optional. Required only when NewsAPI source is enabled. Stored as Apify secret input." }, "mediastackApiKey": { "title": "Mediastack API Key", "type": "string", "description": "Optional. Required only when Mediastack source is enabled. Stored as Apify secret input." }, "newsDataApiKey": { "title": "NewsData.io API Key", "type": "string", "description": "Optional. Required only when NewsData.io source is enabled. Stored as Apify secret input." }, "eventRegistryApiKey": { "title": "Event Registry / NewsAPI.ai API Key", "type": "string", "description": "Optional. Required only when Event Registry source is enabled. Stored as Apify secret input." }, "deduplicate": { "title": "Deduplicate", "type": "boolean", "description": "Remove duplicate article URLs/titles before output.", "default": true }, "includeSentiment": { "title": "Include Sentiment", "type": "boolean", "description": "Normalized records include a lightweight sentiment label.", "default": true }, "includeEntities": { "title": "Include Entities", "type": "boolean", "description": "Normalized records include basic entity extraction.", "default": true }, "includeTrendSummary": { "title": "Include Trend Summary", "type": "boolean", "description": "The SUMMARY record includes source, sentiment, country, and timeline counts.", "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 } } } } } } } } } } ```