# Google News Scraper (`sourabhbgp/google-news-scraper`) Actor Scrape Google News articles by keyword, topic, or headlines. 100 results per query, full geo/language support. RSS-based, fast and reliable. - **URL**: https://apify.com/sourabhbgp/google-news-scraper.md - **Developed by:** [Sourabh Kumar](https://apify.com/sourabhbgp) (community) - **Categories:** Marketing, News - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 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 Scraper — 100 Free | Search, Topics & Headlines Scrape news articles from Google News. Search by keyword, browse by topic (technology, business, sports...), or get top headlines. Fast HTTP-only scraper — no browser needed. Supports all countries and languages. ### 💰 Pricing - **100 free results** — lifetime, no credit card needed - After that: **$2 per 1,000 results** (pay-per-event) | Results | Cost | |---------|------| | 100 | Free | | 1,000 | $2 | | 10,000 | $20 | | 100,000 | $200 | ### 🔍 What can you scrape? #### Search Search Google News by any keyword or phrase. Supports time operators (`when:1d`, `when:7d`) and site filters (`site:reuters.com`). #### Topics Browse news by topic: technology, business, sports, entertainment, health, science, world, nation, or headlines. #### Headlines Get the top headlines from Google News — the same stories shown on the Google News homepage. ### 📥 Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `urls` | string[] | `["headlines"]` | Search keywords, topic names, or `"headlines"` | | `mode` | enum | auto-detect | `search`, `topic`, or `headlines` | | `maxResults` | integer | 100 | Max results to return (0 = unlimited) | | `language` | string | `en` | Language code (en, de, fr, ja...) | | `country` | string | `US` | Country code (US, GB, IN, DE...) | #### Auto-Detection Rules When `mode` is not set, the scraper auto-detects based on input: - `"technology"`, `"business"`, `"sports"`, etc. → **topic** mode - `"headlines"` or `"top"` → **headlines** mode - Anything else (e.g., `"artificial intelligence"`) → **search** mode - Set `mode` explicitly to override auto-detection #### Topic Names | Topic | Code | |-------|------| | headlines | h | | world | w | | nation | n | | business | b | | technology | t | | entertainment | e | | sports | s | | health | m | | science | snc | #### Example Inputs **Search for a keyword:** ```json { "urls": ["artificial intelligence", "tesla stock"], "maxResults": 50 } ```` **Browse a topic:** ```json { "urls": ["technology"], "mode": "topic" } ``` **Top headlines:** ```json { "urls": ["headlines"], "maxResults": 20 } ``` **Search with time filter:** ```json { "urls": ["OpenAI when:7d"], "mode": "search" } ``` **Search specific site:** ```json { "urls": ["site:reuters.com climate"], "mode": "search" } ``` ### 📤 Output Each result contains: ```json { "type": "search", "title": "AI Revolution Reshapes Global Economy", "source": "Reuters", "sourceUrl": "https://www.reuters.com", "googleUrl": "https://news.google.com/rss/articles/CBMi...", "publishedAt": "2026-04-06T12:00:00.000Z", "topic": null, "query": "artificial intelligence", "scrapedAt": "2026-04-06T14:30:00.000Z" } ``` | Field | Description | |-------|-------------| | `type` | `search`, `topic`, or `headlines` | | `title` | Article headline (source name removed) | | `source` | Publisher name (e.g., Reuters, BBC, CNN) | | `sourceUrl` | Publisher website URL | | `googleUrl` | Google-encoded article link (not the direct article URL) | | `publishedAt` | Article publish date (ISO 8601) | | `topic` | Topic name (only for topic mode, null otherwise) | | `query` | Search query (only for search mode, null otherwise) | | `scrapedAt` | When the data was scraped | ### 💡 Use Cases - **News monitoring** — track keywords or topics across thousands of publishers - **Media research** — analyze which outlets cover specific topics and how frequently - **Trend tracking** — detect emerging stories by monitoring search results over time - **Competitive intelligence** — monitor competitor mentions, product launches, and press coverage - **Content curation** — aggregate news by topic for newsletters, dashboards, or feeds ### ⚡ Tips - RSS feeds return up to **100 articles per query** — use multiple keywords to get more coverage - Use `when:1d` or `when:7d` in search queries for time-filtered results (e.g., `"OpenAI when:1d"`) - Use `site:domain.com` to filter by publisher (e.g., `"site:reuters.com climate"`) - The `googleUrl` is a Google-encoded redirect link, not the direct article URL. The `sourceUrl` gives you the publisher's domain. - Set `language` and `country` to get localized results (e.g., `language: "de"`, `country: "DE"` for Germany) - Empty input `{}` defaults to top headlines — useful for health checks and quick tests # Actor input Schema ## `urls` (type: `array`): Search keywords (e.g., 'artificial intelligence'), topic names (e.g., 'technology', 'business'), or 'headlines' for top stories. ## `mode` (type: `string`): Scraping mode. Auto-detected from input if not set: topic names → topic, 'headlines'/'top' → headlines, anything else → search. ## `maxResults` (type: `integer`): Maximum results to return. 0 = unlimited. RSS feeds return up to 100 items per query. ## `language` (type: `string`): Language code (en, de, fr, ja, etc.). ## `country` (type: `string`): Country code (US, GB, IN, DE, etc.). ## Actor input object example ```json { "urls": [ "artificial intelligence" ], "maxResults": 100, "language": "en", "country": "US" } ``` # Actor output Schema ## `results` (type: `string`): Scraped news articles from Google News RSS. # 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 = { "urls": [ "artificial intelligence" ] }; // Run the Actor and wait for it to finish const run = await client.actor("sourabhbgp/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 = { "urls": ["artificial intelligence"] } # Run the Actor and wait for it to finish run = client.actor("sourabhbgp/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 '{ "urls": [ "artificial intelligence" ] }' | apify call sourabhbgp/google-news-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sourabhbgp/google-news-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google News Scraper", "description": "Scrape Google News articles by keyword, topic, or headlines. 100 results per query, full geo/language support. RSS-based, fast and reliable.", "version": "0.0", "x-build-id": "jzFlLuRJpZNnIjtIF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sourabhbgp~google-news-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sourabhbgp-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sourabhbgp~google-news-scraper/runs": { "post": { "operationId": "runs-sync-sourabhbgp-google-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sourabhbgp~google-news-scraper/run-sync": { "post": { "operationId": "run-sync-sourabhbgp-google-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "urls": { "title": "Search Keywords, Topics, or 'headlines'", "type": "array", "description": "Search keywords (e.g., 'artificial intelligence'), topic names (e.g., 'technology', 'business'), or 'headlines' for top stories.", "items": { "type": "string" } }, "mode": { "title": "Mode", "enum": [ "search", "topic", "headlines" ], "type": "string", "description": "Scraping mode. Auto-detected from input if not set: topic names → topic, 'headlines'/'top' → headlines, anything else → search." }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Maximum results to return. 0 = unlimited. RSS feeds return up to 100 items per query.", "default": 100 }, "language": { "title": "Language", "type": "string", "description": "Language code (en, de, fr, ja, etc.).", "default": "en" }, "country": { "title": "Country", "type": "string", "description": "Country code (US, GB, IN, DE, etc.).", "default": "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 } } } } } } } } } } ```