# Google News Scraper - Articles by Keyword & Topic (`fascinating_lentil/google-news-scraper`) Actor Scrape Google News articles by search keyword, topic, or top headlines. Extract titles, sources, links, publish dates, and snippets. No login or API key needed. - **URL**: https://apify.com/fascinating\_lentil/google-news-scraper.md - **Developed by:** [Md Jakaria Mirza](https://apify.com/fascinating_lentil) (community) - **Categories:** News, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 article scrapeds 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 - Articles by Keyword & Topic Scrape **Google News** articles by search keyword, topic section, or top headlines - no login, no API key required. Extract titles, sources, links, publish dates, and snippets across any country and language edition. Export to **JSON, CSV, Excel, or HTML**, or pull via the Apify API. Perfect for **media monitoring, brand tracking, sentiment analysis, and news aggregation**. ### Features - ✅ **No login or API key** - uses Google News public RSS feeds - ✅ **Three modes** - keyword search, topic sections, top headlines - ✅ **Any edition** - set country and language - ✅ **Clean output** - title (source stripped), source, link, publish date, snippet - ✅ **Fast & lightweight** - pure RSS, no headless browser ### Input | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `queries` | `string[]` | Search keywords/phrases | `["artificial intelligence"]` | | `topics` | `string[]` | Sections: `WORLD`, `NATION`, `BUSINESS`, `TECHNOLOGY`, `ENTERTAINMENT`, `SPORTS`, `SCIENCE`, `HEALTH` | `[]` | | `topHeadlines` | `boolean` | Also fetch the main top-headlines feed | `false` | | `country` | `string` | Country code (`US`, `GB`, `IN`, ...) | `US` | | `language` | `string` | Language code (`en`, `es`, `hi`, ...) | `en` | | `maxArticlesPerFeed` | `integer` | Max articles per feed (up to ~100) | `100` | | `proxyConfiguration` | `object` | Proxy settings | Apify Proxy | #### Example input ```json { "queries": ["Tesla earnings", "OpenAI"], "topics": ["TECHNOLOGY", "BUSINESS"], "topHeadlines": true, "country": "US", "language": "en", "maxArticlesPerFeed": 100 } ```` ### Sample output ```json { "title": "Apple's new Siri AI knows when to shut up", "source": "The Verge", "link": "https://news.google.com/rss/articles/CBMiek...", "guid": "CBMiek...", "publishedAt": "2026-06-10T22:52:17.000Z", "snippet": "Apple's new Siri AI knows when to shut up ...", "feedType": "topic", "feedQuery": "TECHNOLOGY", "country": "US", "language": "en", "scrapedAt": "2026-06-11T10:00:00.000Z" } ``` ### How to Scrape Google News (Step by Step) 1. Click **Try for free** / **Run**. 2. Add search keywords, topic sections (e.g. `TECHNOLOGY`), or enable top headlines. 3. Set `country`/`language` to target a specific Google News edition. 4. Set `maxArticlesPerFeed` (start small to test). 5. Run, then export results as JSON, CSV, Excel, or HTML, or pull them via the Apify API. ### Pricing This Actor uses **pay-per-result** pricing: | Event | Price | |-------|-------| | Per article scraped | **$0.001** ($1 / 1,000 articles) | You are only charged for articles actually returned. Apify platform usage is billed separately by Apify. ### Use cases - **Media monitoring** - track coverage of your brand, product, or competitors - **Sentiment analysis** - feed headlines/snippets into NLP pipelines - **News aggregation** - build topic- or keyword-based feeds - **Trend tracking** - monitor stories across countries and languages ### Tips - Combine `queries`, `topics`, and `topHeadlines` in one run for broad coverage. - Use `country`/`language` to target specific Google News editions. - Article links are Google News redirect URLs; the `source` field gives the publisher. ### License Apache-2.0 # Actor input Schema ## `queries` (type: `array`): Keywords/phrases to search Google News (e.g. "artificial intelligence", "Tesla earnings"). ## `topics` (type: `array`): Google News topic sections: WORLD, NATION, BUSINESS, TECHNOLOGY, ENTERTAINMENT, SPORTS, SCIENCE, HEALTH. ## `topHeadlines` (type: `boolean`): If enabled, also fetch the main top-headlines feed. ## `country` (type: `string`): Two-letter country code for the news edition (e.g. "US", "GB", "IN"). ## `language` (type: `string`): Two-letter language code (e.g. "en", "es", "hi"). ## `maxArticlesPerFeed` (type: `integer`): Maximum articles to extract per query/topic/feed (Google News returns up to ~100). ## `proxyConfiguration` (type: `object`): Proxy settings. Google News RSS is generally open; enable proxies for very large runs. ## Actor input object example ```json { "queries": [ "artificial intelligence" ], "topics": [], "topHeadlines": false, "country": "US", "language": "en", "maxArticlesPerFeed": 100, "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": [ "artificial intelligence" ] }; // Run the Actor and wait for it to finish const run = await client.actor("fascinating_lentil/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": ["artificial intelligence"] } # Run the Actor and wait for it to finish run = client.actor("fascinating_lentil/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": [ "artificial intelligence" ] }' | apify call fascinating_lentil/google-news-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fascinating_lentil/google-news-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google News Scraper - Articles by Keyword & Topic", "description": "Scrape Google News articles by search keyword, topic, or top headlines. Extract titles, sources, links, publish dates, and snippets. No login or API key needed.", "version": "1.0", "x-build-id": "8mYFdKlJqx7mYYfZo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fascinating_lentil~google-news-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fascinating_lentil-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fascinating_lentil~google-news-scraper/runs": { "post": { "operationId": "runs-sync-fascinating_lentil-google-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fascinating_lentil~google-news-scraper/run-sync": { "post": { "operationId": "run-sync-fascinating_lentil-google-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 Keywords", "type": "array", "description": "Keywords/phrases to search Google News (e.g. \"artificial intelligence\", \"Tesla earnings\").", "default": [ "artificial intelligence" ], "items": { "type": "string" } }, "topics": { "title": "Topics", "type": "array", "description": "Google News topic sections: WORLD, NATION, BUSINESS, TECHNOLOGY, ENTERTAINMENT, SPORTS, SCIENCE, HEALTH.", "default": [], "items": { "type": "string" } }, "topHeadlines": { "title": "Top Headlines", "type": "boolean", "description": "If enabled, also fetch the main top-headlines feed.", "default": false }, "country": { "title": "Country", "type": "string", "description": "Two-letter country code for the news edition (e.g. \"US\", \"GB\", \"IN\").", "default": "US" }, "language": { "title": "Language", "type": "string", "description": "Two-letter language code (e.g. \"en\", \"es\", \"hi\").", "default": "en" }, "maxArticlesPerFeed": { "title": "Max Articles Per Feed", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum articles to extract per query/topic/feed (Google News returns up to ~100).", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Google News RSS is generally open; enable proxies for very large runs.", "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 } } } } } } } } } } ```