# Google News Keyword Monitor (`kempt_sprinkles/google-news-keyword-monitor`) Actor Track news articles mentioning any keyword, brand, or competitor across thousands of sources. Structured data for PR & brand monitoring, scheduled daily. - **URL**: https://apify.com/kempt\_sprinkles/google-news-keyword-monitor.md - **Developed by:** [Nikolas Gevorkyan](https://apify.com/kempt_sprinkles) (community) - **Categories:** News, Marketing - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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 ## Google News Keyword Monitor — Track Brand & Competitor Mentions in the News **Know the same day when the news talks about your brand, your competitor, or your industry.** Google News Keyword Monitor is a no-code **google news keyword monitor** and **news mention tracker** that watches any keyword across thousands of news sources and delivers fresh articles as clean, structured data. Powered by the free Google News feed — no API key, no setup. Perfect for **brand monitoring**, **PR & reputation tracking**, and **competitor research**. ### What you get | keyword | title | publisher | published | url | |---|---|---|---|---| | anthropic | Anthropic ships Claude Fable 5 | TechCrunch | 2026-06-12 | https://news.google.com/rss/articles/… | | openai | OpenAI faces new lawsuit | Reuters | 2026-06-11 | https://news.google.com/rss/articles/… | ```json { "keyword": "anthropic", "source": "googlenews", "type": "news", "id": "https://news.google.com/rss/articles/CBMi…", "title": "Anthropic ships Claude Fable 5", "snippet": "The company announced …", "publisher": "TechCrunch", "createdAt": "2026-06-12T08:14:03Z", "url": "https://news.google.com/rss/articles/CBMi…", "matchedIn": "title" } ```` Download as JSON, CSV, Excel, or via the Apify API. ### Use cases - **Brand monitoring** — catch every news mention of your company the day it's published. - **PR & reputation** — track coverage of a launch, a crisis, or an executive. - **Competitor tracking** — follow what the press writes about your rivals. - **Industry & market research** — monitor a topic, technology, or trend across outlets. ### How to use 1. **Enter your keywords** (brand, competitor, topic). Use a quoted phrase for exact match. 2. **Pick a language/region edition** (English (US) by default). 3. **Run it — or schedule it daily**. 4. **Export or automate** — CSV/Sheets, or Slack/email/webhook/Make/Zapier via Apify integrations. ### Input parameters | Field | Type | Default | Description | |---|---|---|---| | `keywords` | array | **required** | Words or phrases to monitor. | | `region` | enum | `en-US` | Google News language/region edition. | | `timeRange` | enum | `day` | `hour` … `all`. | | `maxResultsPerKeyword` | integer | `50` | Max articles per keyword (≤100). | | `proxyConfiguration` | proxy | off | Optional. | ### Scheduling & integrations Built to run daily on autopilot via **Apify Schedules**, with **Google Sheets, Slack, email, webhooks, Make, and Zapier** integrations so every new article lands wherever you work. ### Pricing Simple **pay-per-event**: a small fee per run start + a small fee per article found. A typical daily run costs a few cents; empty runs are near-free. ### FAQ **Do I need an API key?** No. It uses the public Google News feed — no keys, no login. **How fresh is the data?** Real-time. Set `timeRange = hour` for near-real-time alerts or `day` for a daily digest. **Where do the links go?** Each `url` is the Google News link, which redirects to the original article at the publisher. **What if a run finds nothing?** It writes one informational item per keyword, at near-zero cost. *** *Keywords: google news keyword monitor, news mention tracker, brand monitoring news, pr monitoring, track news mentions, competitor news monitoring, media monitoring.* # Actor input Schema ## `keywords` (type: `array`): Words or phrases to monitor in the news (e.g. your brand, a competitor, a product). Tip: use quotes inside a phrase for exact match, e.g. "acme corp". ## `region` (type: `string`): Which Google News edition to query. ## `timeRange` (type: `string`): How recent articles must be. For daily monitoring keep at "Past 24 hours". ## `maxResultsPerKeyword` (type: `integer`): Maximum articles per keyword (Google News returns up to ~100 per feed). ## `proxyConfiguration` (type: `object`): Optional. Useful if you run many keywords frequently and want to vary IPs. ## Actor input object example ```json { "keywords": [ "openai", "anthropic" ], "region": "en-US", "timeRange": "day", "maxResultsPerKeyword": 50, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (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": [ "openai", "anthropic" ] }; // Run the Actor and wait for it to finish const run = await client.actor("kempt_sprinkles/google-news-keyword-monitor").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 = { "keywords": [ "openai", "anthropic", ] } # Run the Actor and wait for it to finish run = client.actor("kempt_sprinkles/google-news-keyword-monitor").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 '{ "keywords": [ "openai", "anthropic" ] }' | apify call kempt_sprinkles/google-news-keyword-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kempt_sprinkles/google-news-keyword-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google News Keyword Monitor", "description": "Track news articles mentioning any keyword, brand, or competitor across thousands of sources. Structured data for PR & brand monitoring, scheduled daily.", "version": "1.0", "x-build-id": "JurD0bBDzcnwvAVcX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kempt_sprinkles~google-news-keyword-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kempt_sprinkles-google-news-keyword-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/kempt_sprinkles~google-news-keyword-monitor/runs": { "post": { "operationId": "runs-sync-kempt_sprinkles-google-news-keyword-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/kempt_sprinkles~google-news-keyword-monitor/run-sync": { "post": { "operationId": "run-sync-kempt_sprinkles-google-news-keyword-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "minItems": 1, "type": "array", "description": "Words or phrases to monitor in the news (e.g. your brand, a competitor, a product). Tip: use quotes inside a phrase for exact match, e.g. \"acme corp\".", "items": { "type": "string" } }, "region": { "title": "Language / region", "enum": [ "en-US", "en-GB", "en-IN", "de-DE", "fr-FR", "es-ES", "pt-BR", "ru-RU" ], "type": "string", "description": "Which Google News edition to query.", "default": "en-US" }, "timeRange": { "title": "Time range", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "How recent articles must be. For daily monitoring keep at \"Past 24 hours\".", "default": "day" }, "maxResultsPerKeyword": { "title": "Max results per keyword", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum articles per keyword (Google News returns up to ~100 per feed).", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional. Useful if you run many keywords frequently and want to vary IPs.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```