# Google News Scraper (`outspoken_strategy/google-news-scraper`) Actor Search Google News by keyword and export articles as structured data: title, description, source, published date and article URL. Supports multiple keywords, language/region targeting and per-keyword limits. - **URL**: https://apify.com/outspoken\_strategy/google-news-scraper.md - **Developed by:** [code craker](https://apify.com/outspoken_strategy) (community) - **Categories:** News, Lead generation, Social media - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results 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 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 Search Google News by keyword and export articles as structured data. Fetches the Google News RSS search feed directly — no browser, no proxies, so runs are fast and cheap. ### Input | Field | Type | Description | | --- | --- | --- | | `searchQuery` | string | Keyword/phrase to search (`query` is accepted as an alias). Multiple lines = multiple keywords. | | `queries` | array | Multiple keywords; results are combined and de-duplicated. `maxItems` applies per keyword. | | `maxItems` | integer | Max articles per keyword (Google News RSS serves at most ~100). Default 20. | | `language` | string | Two-letter language code, e.g. `en`. Default `en`. | | `region` | string | Two-letter country code, e.g. `US`, `ZA`, `ZW`. Default `US`. | | `timePeriod` | string | Optional recency window, e.g. `1h`, `1d`, `7d`, `1y`. | | `extractImages` | boolean | Accepted for compatibility; the RSS feed has no images (no-op). | ### Output One dataset item per article: ```json { "title": "…", "description": "…", "articleUrl": "https://news.google.com/rss/articles/CBMi…", "googleNewsUrl": "https://news.google.com/rss/articles/CBMi…", "source": "Publisher name", "sourceUrl": "https://publisher.example.com", "publishedAt": "2026-07-02T13:48:15.000Z", "publishedAtRaw": "Thu, 02 Jul 2026 13:48:15 GMT", "guid": "…", "searchQuery": "econet", "language": "en", "region": "US", "scrapedAt": "…" } ```` `articleUrl`/`googleNewsUrl` are Google News wrapper URLs (the same shape other Google News actors return); resolve them to the real article URL downstream if needed. # Actor input Schema ## `searchQuery` (type: `string`): Keyword/phrase to search on Google News. You can also paste several keywords, one per line, to search them all. "query" is accepted as an alias. ## `queries` (type: `array`): Multiple keywords/phrases to search — each is searched separately and results are combined and de-duplicated by article. maxItems applies PER keyword. ## `maxItems` (type: `integer`): Maximum number of articles to return per keyword (Google News RSS serves at most ~100). ## `language` (type: `string`): Two-letter language code for the news edition (e.g. "en", "fr", "de", "es", "pt"). ## `region` (type: `string`): Two-letter country code for the news edition (e.g. "US", "GB", "ZA", "ZW"). Defaults to US. ## `timePeriod` (type: `string`): Restrict results to a recent window, e.g. "1h", "1d", "7d", "1y". Leave empty for no restriction. ## `extractImages` (type: `boolean`): Accepted for input compatibility; Google News RSS does not include images, so this is currently a no-op. ## Actor input object example ```json { "searchQuery": "artificial intelligence", "queries": [], "maxItems": 20, "language": "en", "region": "US", "extractImages": false } ``` # 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 = { "searchQuery": "artificial intelligence", "queries": [] }; // Run the Actor and wait for it to finish const run = await client.actor("outspoken_strategy/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 = { "searchQuery": "artificial intelligence", "queries": [], } # Run the Actor and wait for it to finish run = client.actor("outspoken_strategy/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 '{ "searchQuery": "artificial intelligence", "queries": [] }' | apify call outspoken_strategy/google-news-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=outspoken_strategy/google-news-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google News Scraper", "description": "Search Google News by keyword and export articles as structured data: title, description, source, published date and article URL. Supports multiple keywords, language/region targeting and per-keyword limits.", "version": "0.0", "x-build-id": "Bajqc0msnjjzCUQ4N" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/outspoken_strategy~google-news-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-outspoken_strategy-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/outspoken_strategy~google-news-scraper/runs": { "post": { "operationId": "runs-sync-outspoken_strategy-google-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/outspoken_strategy~google-news-scraper/run-sync": { "post": { "operationId": "run-sync-outspoken_strategy-google-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Search query", "type": "string", "description": "Keyword/phrase to search on Google News. You can also paste several keywords, one per line, to search them all. \"query\" is accepted as an alias." }, "queries": { "title": "Search queries (multiple keywords)", "type": "array", "description": "Multiple keywords/phrases to search — each is searched separately and results are combined and de-duplicated by article. maxItems applies PER keyword.", "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of articles to return per keyword (Google News RSS serves at most ~100).", "default": 20 }, "language": { "title": "Language", "type": "string", "description": "Two-letter language code for the news edition (e.g. \"en\", \"fr\", \"de\", \"es\", \"pt\").", "default": "en" }, "region": { "title": "Region", "type": "string", "description": "Two-letter country code for the news edition (e.g. \"US\", \"GB\", \"ZA\", \"ZW\"). Defaults to US.", "default": "US" }, "timePeriod": { "title": "Time period", "type": "string", "description": "Restrict results to a recent window, e.g. \"1h\", \"1d\", \"7d\", \"1y\". Leave empty for no restriction." }, "extractImages": { "title": "Extract images", "type": "boolean", "description": "Accepted for input compatibility; Google News RSS does not include images, so this is currently a no-op.", "default": 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 } } } } } } } } } } ```