# Google News Scraper | PR & Sentiment Monitoring (`andok/google-news-scraper-pr-sentiment-monitoring`) Actor Instantly scrape recent news articles and headlines by keyword from Google News. Automate your media monitoring and PR tracking. - **URL**: https://apify.com/andok/google-news-scraper-pr-sentiment-monitoring.md - **Developed by:** [Andok](https://apify.com/andok) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 article founds 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 Scraper for Monitoring & Alerts Monitor Google News for brand mentions, competitor activity, and topic coverage across any keyword. Whether you need daily PR clipping, real-time crisis monitoring, or trend research, this actor delivers structured article data from Google News RSS feeds without heavy DOM scraping. Schedule it hourly on Apify to build a continuous news intelligence pipeline. ### Features - **Keyword monitoring** — search Google News by any query and get matching articles - **Bulk queries** — process multiple search terms in a single run - **Publisher extraction** — automatically parses the source publisher from each headline - **Language targeting** — filter results by language and region (e.g. `en-US`, `de-DE`, `uk-UA`) - **Structured output** — every article includes title, link, publisher, and publication date - **No browser needed** — queries official Google News RSS endpoints for fast, reliable results - **Pay-per-result pricing** — only pay for articles found, with charge-limit safety built in ### Input | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `queries` | `array` | Yes | — | List of search keywords to monitor (e.g. `artificial intelligence`, `Tesla earnings`) | | `maxItems` | `integer` | No | `50` | Maximum number of articles to return per query (1-100) | | `language` | `string` | No | `en-US` | Language and region code for results (e.g. `en-US`, `de-DE`, `fr-FR`) | #### Input Example ```json { "queries": ["artificial intelligence", "OpenAI funding"], "maxItems": 25, "language": "en-US" } ```` ### Output Each dataset item represents one news article. Key fields: - `query` (`string`) — the search term that matched this article - `title` (`string`) — article headline - `link` (`string`) — URL to the full article - `publisher` (`string`) — name of the publishing outlet - `pubDate` (`string`) — publication date in ISO format #### Output Example ```json { "query": "artificial intelligence", "title": "Google DeepMind unveils new AI model for protein folding", "link": "https://www.reuters.com/technology/google-deepmind-ai-protein-2025-01-15/", "publisher": "Reuters", "pubDate": "Wed, 15 Jan 2025 14:30:00 GMT" } ``` ### Pricing | Event | Cost | |-------|------| | Article Found | Pay-per-event (see actor pricing page) | ### Use Cases - **PR & brand monitoring** — track mentions of your company or product across news outlets daily - **Competitive intelligence** — monitor competitor launches, funding rounds, and press coverage - **Market research** — gather news sentiment data on industries, trends, or emerging technologies - **Crisis detection** — schedule hourly runs to catch negative coverage early - **Content curation** — feed article data into newsletters, dashboards, or Slack channels - **AI/LLM pipelines** — supply fresh news context to RAG applications and AI agents ### Related Actors | Actor | What it adds | |-------|-------------| | [RSS & Atom Feed Parser](https://apify.com/andok/rss-parser) | Parse any RSS/Atom feed beyond Google News | | [Hacker News Scraper](https://apify.com/andok/hackernews-scraper) | Track tech community discussions and trending topics | | [Wayback Machine Scraper](https://apify.com/andok/wayback-machine-scraper) | Retrieve historical versions of articles and pages | ### Notes - Google News RSS feeds are public but may rate-limit aggressive usage. Space scheduled runs at least 15 minutes apart for best reliability. - Results depend on Google News indexing; very recent articles (under ~5 minutes old) may not appear immediately. # Actor input Schema ## `queries` (type: `array`): Keywords to search on Google News. Each query runs a separate search and returns matching articles (e.g. "artificial intelligence", "Tesla earnings"). ## `maxItems` (type: `integer`): Maximum number of articles to return for each search query. Google News typically provides up to 100 recent results. ## `language` (type: `string`): Language and region code for Google News results. Format: ll-CC (e.g. en-US, de-DE, fr-FR, uk-UA). ## Actor input object example ```json { "queries": [ "artificial intelligence" ], "maxItems": 50, "language": "en-US" } ``` # Actor output Schema ## `results` (type: `string`): No description ## `resultsCsv` (type: `string`): No description ## `run` (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 = { "queries": [ "artificial intelligence" ] }; // Run the Actor and wait for it to finish const run = await client.actor("andok/google-news-scraper-pr-sentiment-monitoring").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": ["artificial intelligence"] } # Run the Actor and wait for it to finish run = client.actor("andok/google-news-scraper-pr-sentiment-monitoring").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": [ "artificial intelligence" ] }' | apify call andok/google-news-scraper-pr-sentiment-monitoring --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=andok/google-news-scraper-pr-sentiment-monitoring", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google News Scraper | PR & Sentiment Monitoring", "description": "Instantly scrape recent news articles and headlines by keyword from Google News. Automate your media monitoring and PR tracking.", "version": "1.0", "x-build-id": "Mcg8vSmCMm92LeGEF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/andok~google-news-scraper-pr-sentiment-monitoring/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-andok-google-news-scraper-pr-sentiment-monitoring", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/andok~google-news-scraper-pr-sentiment-monitoring/runs": { "post": { "operationId": "runs-sync-andok-google-news-scraper-pr-sentiment-monitoring", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/andok~google-news-scraper-pr-sentiment-monitoring/run-sync": { "post": { "operationId": "run-sync-andok-google-news-scraper-pr-sentiment-monitoring", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "minItems": 1, "type": "array", "description": "Keywords to search on Google News. Each query runs a separate search and returns matching articles (e.g. \"artificial intelligence\", \"Tesla earnings\").", "items": { "type": "string" } }, "maxItems": { "title": "Max Articles per Query", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of articles to return for each search query. Google News typically provides up to 100 recent results.", "default": 50 }, "language": { "title": "Language & Region", "type": "string", "description": "Language and region code for Google News results. Format: ll-CC (e.g. en-US, de-DE, fr-FR, uk-UA).", "default": "en-US" } } }, "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 } } } } } } } } } } ```