# News Aggregator by Topic (`agentictools/news-aggregator`) Actor Aggregate news for any topic from Google News, deduplicate near-duplicates, and tag basic sentiment. - **URL**: https://apify.com/agentictools/news-aggregator.md - **Developed by:** [Ken Agland](https://apify.com/agentictools) (community) - **Categories:** News, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.50 / 1,000 article returneds 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 ## News Aggregator by Topic Aggregate recent news for any topic from Google News RSS, deduplicate near-identical stories, and tag basic sentiment. No API key needed. ### What it does - Queries Google News RSS for each topic you provide. - Cleans each headline and splits the source name out of the title. - Deduplicates near-identical stories by a normalized title. - Tags each article with a simple positive, negative, or neutral sentiment. - Optionally keeps only articles from the last N hours. - Writes an aggregate summary (per-topic counts and sentiment breakdown) to OUTPUT. ### Example input ```json { "topics": [ "openai", "electric vehicles" ], "maxPerTopic": 25, "language": "en-US", "country": "US", "sinceHours": 48, "sentiment": true } ```` ### Input | Field | Type | Description | |---|---|---| | `topics` | array | One or more topics or search queries. Each is queried separately. | | `maxPerTopic` | integer | Max articles to keep per topic after dedup. Default 25. | | `language` | string | Google News language code (hl), for example `en-US`. Default `en-US`. | | `country` | string | Google News country code (gl), for example `US`. Default `US`. | | `sinceHours` | integer | Keep only articles from the last N hours. `0` disables the filter. Default 0. | | `sentiment` | boolean | Tag positive, negative, or neutral sentiment. Default true. | ### Output Each dataset item is one article: ```json { "topic": "openai", "title": "OpenAI launches new model", "source": "TechCrunch", "url": "https://news.google.com/rss/articles/...", "publishedAt": "2026-07-04T09:30:00.000Z", "ageHours": 5.2, "sentiment": "positive", "sentimentScore": 1 } ``` The run's default key-value store record `OUTPUT` holds an aggregate: ```json { "topics": [ "openai", "electric vehicles" ], "totalArticles": 42, "perTopicCounts": { "openai": 25, "electric vehicles": 17 }, "sentimentBreakdown": { "positive": 18, "negative": 9, "neutral": 15 }, "query": { "language": "en-US", "country": "US", "maxPerTopic": 25, "sinceHours": 48, "sentiment": true }, "generatedFrom": "https://news.google.com/rss/search" } ``` ### How it works For each topic the Actor calls the public Google News RSS search endpoint, parses the XML with fast-xml-parser, and reads `rss.channel.item`. Google News titles usually end with ` - SourceName`, so the Actor splits that off into the `source` field. It deduplicates stories by a normalized lowercase title across all topics, applies the optional time filter, and scores sentiment from the headline using a small built-in word list (no extra service or key). Requests retry on rate limits and server errors with backoff. It needs no Apify token. MIT licensed. # Actor input Schema ## `topics` (type: `array`): One or more topics or search queries to aggregate news for (for example "openai", "electric vehicles", "apify"). Each topic is queried separately against Google News. ## `maxPerTopic` (type: `integer`): Maximum number of articles to keep per topic after deduplication. ## `language` (type: `string`): Google News language code used for the query (hl parameter), for example "en-US" or "de". ## `country` (type: `string`): Google News country code used for the query (gl parameter), for example "US" or "GB". ## `sinceHours` (type: `integer`): Keep only articles published within this many hours. Set to 0 to disable the time filter. ## `sentiment` (type: `boolean`): Tag each article with a simple positive, negative, or neutral sentiment based on its title. ## Actor input object example ```json { "topics": [ "openai", "climate change" ], "maxPerTopic": 25, "language": "en-US", "country": "US", "sinceHours": 0, "sentiment": 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 = { "topics": [ "openai" ] }; // Run the Actor and wait for it to finish const run = await client.actor("agentictools/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 = { "topics": ["openai"] } # Run the Actor and wait for it to finish run = client.actor("agentictools/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 '{ "topics": [ "openai" ] }' | apify call agentictools/news-aggregator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agentictools/news-aggregator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "News Aggregator by Topic", "description": "Aggregate news for any topic from Google News, deduplicate near-duplicates, and tag basic sentiment.", "version": "0.1", "x-build-id": "hrVZd56AR53U35l6u" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agentictools~news-aggregator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agentictools-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/agentictools~news-aggregator/runs": { "post": { "operationId": "runs-sync-agentictools-news-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/agentictools~news-aggregator/run-sync": { "post": { "operationId": "run-sync-agentictools-news-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "topics" ], "properties": { "topics": { "title": "Topics", "type": "array", "description": "One or more topics or search queries to aggregate news for (for example \"openai\", \"electric vehicles\", \"apify\"). Each topic is queried separately against Google News.", "items": { "type": "string" } }, "maxPerTopic": { "title": "Max articles per topic", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of articles to keep per topic after deduplication.", "default": 25 }, "language": { "title": "Language", "type": "string", "description": "Google News language code used for the query (hl parameter), for example \"en-US\" or \"de\".", "default": "en-US" }, "country": { "title": "Country", "type": "string", "description": "Google News country code used for the query (gl parameter), for example \"US\" or \"GB\".", "default": "US" }, "sinceHours": { "title": "Only articles from the last N hours", "minimum": 0, "type": "integer", "description": "Keep only articles published within this many hours. Set to 0 to disable the time filter.", "default": 0 }, "sentiment": { "title": "Tag sentiment", "type": "boolean", "description": "Tag each article with a simple positive, negative, or neutral sentiment based on its title.", "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 } } } } } } } } } } ```