# Google News Scraper (`bgfc97/google-news-scraper`) Actor Monitor Google News: articles by keyword or topic with title, source, published date, snippet and link, for any language and country, via the official RSS feed. Reliable, no anti-bot. - **URL**: https://apify.com/bgfc97/google-news-scraper.md - **Developed by:** [Bruno](https://apify.com/bgfc97) (community) - **Categories:** News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.75 / 1,000 article scrapeds This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Google News Scraper 📰 Monitor **Google News** at scale — get articles by keyword or topic with title, source, published date, snippet, and link, for any language and country. Powered by Google's official RSS feed, so it's fast and reliable. Perfect for media monitoring, PR/brand tracking, competitor watch, trend detection, and news alerting. ### What it does - **Keyword monitoring** with an optional recency window (`1h`, `1d`, `7d`, …). - **Topic feeds** (World, Business, Technology, Science, Health, …). - Localized by language (`hl`) and country (`gl`). ### Input ```json { "queries": ["OpenAI", "tesla recall"], "topics": ["TECHNOLOGY"], "timeWindow": "7d", "language": "en-US", "country": "US", "maxArticlesPerQuery": 100 } ```` ### Output (one row per article) ```json { "type": "article", "source_query": "q:OpenAI", "title": "OpenAI announces new model", "source": "TechCrunch", "published_at": "2026-07-15T09:12:00.000Z", "snippet": "The company revealed...", "google_news_url": "https://news.google.com/rss/articles/...", "language": "en-US", "country": "US" } ``` ### Notes - Reliable and anti-bot-free — reads Google News' public RSS. - Titles are cleaned of the trailing " - Source" suffix. - Run on a schedule to keep a live news feed for any keyword or topic. # Actor input Schema ## `queries` (type: `array`): Keywords/phrases to monitor on Google News, e.g. 'OpenAI', 'tesla recall'. ## `topics` (type: `array`): Optional Google News topics: WORLD, NATION, BUSINESS, TECHNOLOGY, ENTERTAINMENT, SPORTS, SCIENCE, HEALTH. ## `timeWindow` (type: `string`): Optional recency filter for queries: 1h, 12h, 1d, 7d, 1y. Leave empty for no filter. ## `language` (type: `string`): Language/locale, e.g. en-US, pt-BR, es-ES. ## `country` (type: `string`): Two-letter country code, e.g. US, BR, GB. ## `maxArticlesPerQuery` (type: `integer`): Max articles per query/topic. ## `maxConcurrency` (type: `integer`): Parallel requests. ## `proxyConfiguration` (type: `object`): Optional Apify proxy. The account running the Actor pays for proxy usage. ## Actor input object example ```json { "queries": [ "OpenAI" ], "topics": [], "timeWindow": "", "language": "en-US", "country": "US", "maxArticlesPerQuery": 100, "maxConcurrency": 6, "proxyConfiguration": { "useApifyProxy": 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 = { "queries": [ "OpenAI" ], "topics": [], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("bgfc97/google-news-scraper").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 = { "queries": ["OpenAI"], "topics": [], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("bgfc97/google-news-scraper").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 '{ "queries": [ "OpenAI" ], "topics": [], "proxyConfiguration": { "useApifyProxy": true } }' | apify call bgfc97/google-news-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bgfc97/google-news-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google News Scraper", "description": "Monitor Google News: articles by keyword or topic with title, source, published date, snippet and link, for any language and country, via the official RSS feed. Reliable, no anti-bot.", "version": "1.0", "x-build-id": "xsBPuM3ZAHhAdu12P" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bgfc97~google-news-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bgfc97-google-news-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bgfc97~google-news-scraper/runs": { "post": { "operationId": "runs-sync-bgfc97-google-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bgfc97~google-news-scraper/run-sync": { "post": { "operationId": "run-sync-bgfc97-google-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "queries": { "title": "Search queries", "type": "array", "description": "Keywords/phrases to monitor on Google News, e.g. 'OpenAI', 'tesla recall'.", "items": { "type": "string" } }, "topics": { "title": "Topics", "type": "array", "description": "Optional Google News topics: WORLD, NATION, BUSINESS, TECHNOLOGY, ENTERTAINMENT, SPORTS, SCIENCE, HEALTH.", "items": { "type": "string" } }, "timeWindow": { "title": "Time window", "type": "string", "description": "Optional recency filter for queries: 1h, 12h, 1d, 7d, 1y. Leave empty for no filter.", "default": "" }, "language": { "title": "Language (hl)", "type": "string", "description": "Language/locale, e.g. en-US, pt-BR, es-ES.", "default": "en-US" }, "country": { "title": "Country (gl)", "type": "string", "description": "Two-letter country code, e.g. US, BR, GB.", "default": "US" }, "maxArticlesPerQuery": { "title": "Max articles per query", "maximum": 1000, "type": "integer", "description": "Max articles per query/topic.", "default": 100 }, "maxConcurrency": { "title": "Max concurrency", "maximum": 20, "type": "integer", "description": "Parallel requests.", "default": 6 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Optional Apify proxy. The account running the Actor pays for proxy usage.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```