# News Hub: World, Politics, Business, Sports, AI & Crypto (RSS) (`straightforward_hydra/news-hub`) Actor A full news aggregator: world, politics, business, sports, celebrity, AI, tech & crypto headlines from curated outlets + GDELT worldwide. Search any topic, see what's hot. Headlines + link-back, no key. - **URL**: https://apify.com/straightforward\_hydra/news-hub.md - **Developed by:** [Dev D](https://apify.com/straightforward_hydra) (community) - **Categories:** News, Automation, Other - **Stats:** 2 total users, 1 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## News Hub ๐Ÿ“ฐ๐ŸŒ **A full news aggregator in one Actor โ€” world, politics, business, sports, celebrity, AI, tech and crypto headlines from top outlets, plus topic search across worldwide news and a "what's hot right now" trending mode. Headlines, snippets and links, no API key.** Stop juggling a dozen news sites and RSS readers. This Actor pulls **curated, syndication-friendly outlets** (BBC, The Guardian, NPR, Al Jazeera, ESPN, Variety, Ars Technica, The Verge, CoinDesk and more) and fuses them with **GDELT**, the open global news-metadata service โ€” into one clean, de-duplicated feed you can query four ways. --- ### Four modes | Mode | What you get | |---|---| | **Headlines** | Pick a category โ€” **world, politics, business, sports, celebrity, AI, tech, crypto** (or *all*) โ€” and get the latest from every curated outlet in it, merged and de-duplicated. AI/crypto/business/tech can be topped up with GDELT worldwide coverage. | | **Search** | Any keyword or phrase across **worldwide** news metadata (GDELT) โ€” filter by language, source country and time window. | | **Hot** | **What's trending right now** โ€” stories many outlets are covering at once (cross-source frequency), or the volume trend for a specific topic. | | **Digest** | One summary row: article counts by category, source and country, plus the **trending topics** of the moment. | ### What you get per article | Field | Example | |---|---| | `title` | "World Cup 2026: England claim third place in 10-goal thriller" | | `category` ยท `source` | `sports` ยท ESPN | | `summary` | The publisher's own snippet (RSS sources) | | `image` | Article thumbnail (when the feed provides one) | | `published_at` | ISO-8601 UTC | | `language` ยท `country` | English ยท United States (GDELT) | | `url` | Link back to the original article | ### Examples **All AI headlines right now** ```json { "mode": "headlines", "category": "ai" } ```` **Everything, every category, merged** ```json { "mode": "headlines", "category": "all" } ``` **Search worldwide coverage of a topic (last 24h, English)** ```json { "mode": "search", "query": "\"artificial intelligence\"", "timespan": "1d", "language": "english" } ``` **What's hot across the whole news cycle** ```json { "mode": "hot" } ``` **Trending coverage of one topic** ```json { "mode": "hot", "query": "bitcoin", "timespan": "1d" } ``` ### Run it on a schedule Schedule a run every hour to keep a live news table in a sheet or dashboard, power a category news page, monitor a topic or brand across world media, or diff the digest to catch breaking stories the moment coverage spikes. ### How it stays clean (sources & policy) - **Headlines + the publisher's own snippet + image + a link back โ€” never the full article body.** This is the standard aggregator model (Google News / Feedly / Apple News): facts and attribution with a link to the source, not republished article text. - **GDELT** โ€” an open, commercial-friendly global news-metadata service (no key). It returns article *metadata* (title, domain, date, image, language, country), not content. - **Curated RSS/Atom** โ€” hand-picked outlets that publish syndication feeds. Only stable, non-paywalled feeds are included. - **Google News RSS is deliberately excluded** โ€” its feed licence forbids commercial use. - **No API key** for any mode. All data is public news metadata. ### Notes & limitations - Feeds reflect what each outlet currently publishes; some carry a short excerpt as `summary`, some none. - GDELT is rate-limited (about one query every 5 seconds); the Actor paces and retries automatically, so a single run is always fine. - `country` uses GDELT source-country codes; `language` uses GDELT language names (e.g. `english`). - Coverage skews English-language by default โ€” widen it with the `language` filter in search/hot modes. *** #### Keywords news aggregator, news API, news scraper, RSS aggregator, world news, global news, breaking news, trending news, hot news, politics news, business news, sports news, celebrity news, entertainment news, AI news, artificial intelligence news, tech news, crypto news, bitcoin news, headlines API, news monitoring, media monitoring, GDELT, news feed, topic search, news by category, no API key. # Actor input Schema ## `mode` (type: `string`): headlines = curated outlets for a category (+ optional GDELT topping). search = any topic worldwide (GDELT). hot = what's hot right now. digest = one summary row. ## `category` (type: `string`): Which section to pull. 'All' merges every category. ## `query` (type: `string`): Keyword or phrase to search worldwide news for, e.g. "climate summit", "OpenAI", "Champions League". Use quotes for exact phrases. ## `language` (type: `string`): Restrict GDELT results to one source language, e.g. "english", "spanish", "french". ## `country` (type: `string`): Restrict GDELT results to one source country code, e.g. "US", "UK", "IN". Leave blank for worldwide. ## `timespan` (type: `string`): How far back to look for GDELT results: e.g. "1d", "3d", "1w", "1m". Default: 1 week for search, 1 day for hot. ## `includeWorldwide` (type: `boolean`): In headlines mode, top up AI / crypto / business / tech categories with GDELT worldwide coverage (broader, more global sources). ## `includeSummary` (type: `boolean`): Include the publisher's short summary snippet for each article (RSS sources). Turn off for a leaner headline-only feed. ## `maxArticlesPerFeed` (type: `integer`): Cap on how many items to take from each individual outlet feed. ## `maxResults` (type: `integer`): Cap on total article rows returned. ## Actor input object example ```json { "mode": "headlines", "category": "all", "includeWorldwide": true, "includeSummary": true, "maxArticlesPerFeed": 25, "maxResults": 200 } ``` # 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("straightforward_hydra/news-hub").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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("straightforward_hydra/news-hub").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call straightforward_hydra/news-hub --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=straightforward_hydra/news-hub", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "News Hub: World, Politics, Business, Sports, AI & Crypto (RSS)", "description": "A full news aggregator: world, politics, business, sports, celebrity, AI, tech & crypto headlines from curated outlets + GDELT worldwide. Search any topic, see what's hot. Headlines + link-back, no key.", "version": "0.1", "x-build-id": "8Rp4HasUNlSfYd1gf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/straightforward_hydra~news-hub/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-straightforward_hydra-news-hub", "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/straightforward_hydra~news-hub/runs": { "post": { "operationId": "runs-sync-straightforward_hydra-news-hub", "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/straightforward_hydra~news-hub/run-sync": { "post": { "operationId": "run-sync-straightforward_hydra-news-hub", "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": { "mode": { "title": "Mode", "enum": [ "headlines", "search", "hot", "digest" ], "type": "string", "description": "headlines = curated outlets for a category (+ optional GDELT topping). search = any topic worldwide (GDELT). hot = what's hot right now. digest = one summary row.", "default": "headlines" }, "category": { "title": "Category (headlines mode)", "enum": [ "all", "world", "politics", "business", "sports", "celebrity", "ai", "tech", "crypto" ], "type": "string", "description": "Which section to pull. 'All' merges every category.", "default": "all" }, "query": { "title": "Topic / query (search & hot modes)", "type": "string", "description": "Keyword or phrase to search worldwide news for, e.g. \"climate summit\", \"OpenAI\", \"Champions League\". Use quotes for exact phrases." }, "language": { "title": "Language (search / hot / GDELT)", "type": "string", "description": "Restrict GDELT results to one source language, e.g. \"english\", \"spanish\", \"french\"." }, "country": { "title": "Source country (search / hot / GDELT)", "type": "string", "description": "Restrict GDELT results to one source country code, e.g. \"US\", \"UK\", \"IN\". Leave blank for worldwide." }, "timespan": { "title": "Time window (search / hot / GDELT)", "type": "string", "description": "How far back to look for GDELT results: e.g. \"1d\", \"3d\", \"1w\", \"1m\". Default: 1 week for search, 1 day for hot." }, "includeWorldwide": { "title": "Add GDELT worldwide topping (headlines)", "type": "boolean", "description": "In headlines mode, top up AI / crypto / business / tech categories with GDELT worldwide coverage (broader, more global sources).", "default": true }, "includeSummary": { "title": "Include summary snippet", "type": "boolean", "description": "Include the publisher's short summary snippet for each article (RSS sources). Turn off for a leaner headline-only feed.", "default": true }, "maxArticlesPerFeed": { "title": "Max articles per feed", "minimum": 1, "maximum": 200, "type": "integer", "description": "Cap on how many items to take from each individual outlet feed.", "default": 25 }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Cap on total article rows returned.", "default": 200 } } }, "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 } } } } } } } } } } ```