# Real-Time Google News Scraper (Keywords + Topics + AI-ready) (`ahmed_jasarevic/google-news-actor`) Actor Extract structured, real-time news data from Google News using keywords or topic-based scraping. - **URL**: https://apify.com/ahmed\_jasarevic/google-news-actor.md - **Developed by:** [Ahmed Jasarevic](https://apify.com/ahmed_jasarevic) (community) - **Categories:** News, AI, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.50 / 1,000 results 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 ## πŸ“° Google News Scraper Actor A fast and scalable Apify Actor for scraping Google News articles by **keywords or topics**, with full article extraction, deduplication, and structured dataset output. It supports: - πŸ” Keyword-based search - 🧭 Topic-based news scraping - 🌍 Region + language control - ⚑ Fast parallel scraping - 🧠 Article extraction (title, snippet, image) - πŸ“¦ Clean Apify dataset output --- ## πŸš€ Features - Google News RSS scraping - Full article decoding (Google News redirect resolver) - HTML article parsing - Block detection fallback - Threaded scraping for speed - Apify dataset integration (`Actor.push_data`) - Supports multiple topics in one run --- ## βš™οΈ Input Configuration ### πŸ”Ή Mode: Keywords Search news using keywords. #### Example input ```json { "mode": "keywords", "keywords": ["ai", "openai"], "maxArticles": 20, "region_language": "US:en", "timeframe": "1d" } ```` *** ### πŸ”Ή Mode: Topics Scrape full Google News categories. #### Available topics - WORLD - NATION - BUSINESS - TECHNOLOGY - ENTERTAINMENT - SPORTS - SCIENCE - HEALTH #### Example input ```json { "mode": "topics", "topics": ["BUSINESS", "TECHNOLOGY"], "maxArticles": 20, "region_language": "US:en", "timeframe": "1d" } ``` *** ## πŸ“€ Output Format (Dataset Item) Each scraped article is stored in the Apify dataset. #### Example output ```json { "position": 7, "title": "A fragile jihadist-separatist alliance in Mali", "link": "https://www.france24.com/en/africa/20260501-example", "domain": "www.france24.com", "source": "www.france24.com", "snippet": "A fragile alliance between jihadist and separatist groups in Mali is evolving...", "thumbnail": "https://example.com/image.jpg", "date_utc": "2026-05-02T16:36:39.390391+00:00" } ``` *** ## πŸ“Š Dataset Fields | Field | Description | | --------- | ------------------------------------------- | | title | Article title | | link | Direct article URL | | domain | Source domain | | source | Source domain (duplicate for compatibility) | | snippet | Extracted article summary | | thumbnail | OG image if available | | position | Ranking position in RSS | | date\_utc | Scrape timestamp | *** ## πŸ”„ How It Works #### Step 1 Fetch Google News RSS feed: ``` https://news.google.com/rss/search?q=QUERY ``` #### Step 2 Decode Google redirect links β†’ real article URL #### Step 3 Scrape article HTML: - title - meta description / og:description - first paragraphs fallback - og:image #### Step 4 Push results to Apify dataset *** ## ⚑ Performance - Multi-threaded scraping (ThreadPoolExecutor) - 8 workers by default - Fast RSS parsing - Block detection fallback *** ## πŸ›‘ Block Handling The scraper detects: - JS requirement pages - β€œAccess denied” - β€œSubscribe to continue” - adblock walls If blocked: - Falls back to RSS snippet ## πŸ“Œ Example Use Cases - AI news monitoring - Financial news tracking - Competitor intelligence - Media dashboards - Research automation - Trending topic tracking *** ## πŸš€ Example Output Flow Input: ```json { "mode": "keywords", "keywords": ["elon musk", "openai"], "maxArticles": 10 } ``` Output: - 10 cleaned articles - deduplicated - full URLs - structured dataset *** ## 🧠 Notes - Google News RSS returns ~100 items per query - Final output is limited by `maxArticles` - Topics are aggregated before scraping - Keywords use OR logic *** ## πŸ“ˆ Future upgrades - sentiment scoring - AI clustering by topic - full-text extraction fallback (Readability) - proxy rotation - webhook export (Zapier / Supabase) *** # Actor input Schema ## `mode` (type: `string`): Choose scraping mode: keywords or topics ## `keywords` (type: `array`): Search keywords (used in keywords mode) ## `topics` (type: `array`): Google News topics (WORLD, BUSINESS, TECHNOLOGY, etc.) ## `maxArticles` (type: `integer`): Maximum number of articles to scrape ## `timeframe` (type: `string`): Timeframe to scrape articles from ## `region_language` (type: `string`): Format: REGION:LANG (e.g. US:en, FR:fr) ## Actor input object example ```json { "mode": "keywords", "keywords": [ "elon musk", "openai" ], "topics": [ "WORLD", "NATION", "BUSINESS", "TECHNOLOGY", "ENTERTAINMENT", "SPORTS", "SCIENCE", "HEALTH" ], "maxArticles": 20, "timeframe": "1d", "region_language": "US:en" } ``` # Actor output Schema ## `datasetItems` (type: `string`): Scraped Google News articles ## `datasetUrl` (type: `string`): No description ## `totalItems` (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 = { "keywords": [ "elon musk", "openai" ], "topics": [ "WORLD", "NATION", "BUSINESS", "TECHNOLOGY", "ENTERTAINMENT", "SPORTS", "SCIENCE", "HEALTH" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ahmed_jasarevic/google-news-actor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "keywords": [ "elon musk", "openai", ], "topics": [ "WORLD", "NATION", "BUSINESS", "TECHNOLOGY", "ENTERTAINMENT", "SPORTS", "SCIENCE", "HEALTH", ], } # Run the Actor and wait for it to finish run = client.actor("ahmed_jasarevic/google-news-actor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "elon musk", "openai" ], "topics": [ "WORLD", "NATION", "BUSINESS", "TECHNOLOGY", "ENTERTAINMENT", "SPORTS", "SCIENCE", "HEALTH" ] }' | apify call ahmed_jasarevic/google-news-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ahmed_jasarevic/google-news-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Real-Time Google News Scraper (Keywords + Topics + AI-ready)", "description": "Extract structured, real-time news data from Google News using keywords or topic-based scraping.", "version": "1.0", "x-build-id": "5e14xcfU9BVIIqfsF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ahmed_jasarevic~google-news-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ahmed_jasarevic-google-news-actor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ahmed_jasarevic~google-news-actor/runs": { "post": { "operationId": "runs-sync-ahmed_jasarevic-google-news-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ahmed_jasarevic~google-news-actor/run-sync": { "post": { "operationId": "run-sync-ahmed_jasarevic-google-news-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode", "maxArticles" ], "properties": { "mode": { "title": "Mode", "enum": [ "keywords", "topics" ], "type": "string", "description": "Choose scraping mode: keywords or topics", "default": "keywords" }, "keywords": { "title": "Keywords", "type": "array", "description": "Search keywords (used in keywords mode)", "items": { "type": "string" } }, "topics": { "title": "Topics", "type": "array", "description": "Google News topics (WORLD, BUSINESS, TECHNOLOGY, etc.)", "items": { "type": "string" } }, "maxArticles": { "title": "Max Articles", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of articles to scrape", "default": 20 }, "timeframe": { "title": "Timeframe", "enum": [ "1h", "1d", "7d", "1y", "all" ], "type": "string", "description": "Timeframe to scrape articles from", "default": "1d" }, "region_language": { "title": "Region + Language", "type": "string", "description": "Format: REGION:LANG (e.g. US:en, FR:fr)", "default": "US:en" } } }, "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 } } } } } } } } } } ```