# Google News Scraper (`codingfrontend/google-news-scraper`) Actor A robust, high-performance utility designed for developer automation, data integration, and AI training. Features built-in captcha bypass, headful/headless browser execution, and proxy support to scrape Google data seamlessly, reliably, and at scale. - **URL**: https://apify.com/codingfrontend/google-news-scraper.md - **Developed by:** [codingfrontend](https://apify.com/codingfrontend) (community) - **Categories:** Automation, Developer tools, News - **Stats:** 6 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 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 ### Features - **News Articles**: Scrapes news articles from news.google.com for any search query - **Deep Article Extraction**: Optionally visits each article page to extract full content, author, and metadata - **Article Metadata**: Captures title, source publication, publication date, and author information - **Full Article Text**: Extracts word count and reading time estimates for each article - **SEO Metadata**: Retrieves canonical URLs, OG tags, Twitter card data, keywords, and article sections - **Media Content**: Detects and captures video URLs embedded in articles - **Localization Support**: Supports language and country codes for region-specific news feeds - **Proxy Support**: Built-in Apify Proxy with residential proxies for reliable news.google.com access ### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `query` | String | Yes | `"Elon Musk"` | Search term to find news articles on Google News | | `maxItems` | Integer | Yes | `10` | Maximum number of news articles to retrieve (10–5000) | | `hl` | String | No | `"en-US"` | Language code for the Google News interface (e.g., en-US, en-IN, fr-FR) | | `gl` | String | No | `"US"` | Country code for Google News (e.g., US, IN, GB, FR) | | `deepScrape` | Boolean | No | `true` | Visit each article page to extract full content, author, and metadata | | `proxyConfiguration` | Object | No | Apify Residential | Proxy settings for the scraper | #### Input Schema Example ```json { "query": "artificial intelligence", "maxItems": 50, "hl": "en-US", "gl": "US", "deepScrape": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Output Schema The scraper outputs structured JSON data for each news article found on Google News. #### Main Fields | Field | Type | Description | |-------|------|-------------| | `position` | Integer | Article position in the results | | `title` | String | Article headline | | `link` | String | URL to the full article | | `source` | String | Source name (e.g., "CNN", "BBC News") | | `date` | String | Publication date as shown on Google News | | `author` | String | Article author (from deep scrape) | | `publisher` | String | Publisher name | | `publishedDate` | String | ISO publication date (from deep scrape) | | `description` | String | Article description or summary | | `snippet` | String | Short text snippet shown in Google News | | `wordCount` | Integer | Approximate word count of the article | | `readingTime` | Number | Estimated reading time in minutes | | `deepScrapeStatus` | String | Status of deep scraping (success/failed/skipped) | | `domain` | String | Domain of the article URL | | `keywords` | String | Keywords extracted from the article metadata | | `language` | String | Language of the article | #### Article Example ```json { "position": 1, "title": "OpenAI Releases GPT-5 With Improved Reasoning Capabilities", "link": "https://www.techcrunch.com/2025/01/15/openai-gpt-5-release", "source": "TechCrunch", "date": "2 hours ago", "author": "Jane Smith", "publisher": "TechCrunch", "publishedDate": "2025-01-15T08:00:00.000Z", "description": "OpenAI has officially launched GPT-5, featuring significantly improved reasoning and coding capabilities...", "snippet": "The new model shows a 40% improvement over GPT-4 on standard benchmarks...", "wordCount": 850, "readingTime": 4, "deepScrapeStatus": "success", "domain": "techcrunch.com", "keywords": "OpenAI, GPT-5, AI, language model", "language": "en" } ``` # Actor input Schema ## `query` (type: `string`): The search term to use for finding news articles on news.google.com ## `maxItems` (type: `integer`): Maximum number of news articles to retrieve ## `hl` (type: `string`): The language code for Google News interface (e.g., en-US, en-IN, fr-FR) ## `gl` (type: `string`): The country code for Google News (e.g., US, IN, GB, FR) ## `deepScrape` (type: `boolean`): If true, visits each article page to extract full content (author, full text, images, etc.). This is slower but provides much richer data. ## `proxyConfiguration` (type: `object`): Apify Proxy configuration. Use RESIDENTIAL group for best results. ## Actor input object example ```json { "query": "Elon Musk", "maxItems": 10, "hl": "en-US", "gl": "US", "deepScrape": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "query": "Elon Musk", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("codingfrontend/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 = { "query": "Elon Musk", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("codingfrontend/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 '{ "query": "Elon Musk", "maxItems": 10 }' | apify call codingfrontend/google-news-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codingfrontend/google-news-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google News Scraper", "description": "A robust, high-performance utility designed for developer automation, data integration, and AI training. Features built-in captcha bypass, headful/headless browser execution, and proxy support to scrape Google data seamlessly, reliably, and at scale.", "version": "0.0", "x-build-id": "2NlCD3LbfAect7nA7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codingfrontend~google-news-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codingfrontend-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codingfrontend~google-news-scraper/runs": { "post": { "operationId": "runs-sync-codingfrontend-google-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codingfrontend~google-news-scraper/run-sync": { "post": { "operationId": "run-sync-codingfrontend-google-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "query", "maxItems" ], "properties": { "query": { "title": "Search Query", "type": "string", "description": "The search term to use for finding news articles on news.google.com", "default": "Elon Musk" }, "maxItems": { "title": "Maximum Items", "minimum": 10, "maximum": 5000, "type": "integer", "description": "Maximum number of news articles to retrieve", "default": 10 }, "hl": { "title": "Language", "type": "string", "description": "The language code for Google News interface (e.g., en-US, en-IN, fr-FR)", "default": "en-US" }, "gl": { "title": "Country", "type": "string", "description": "The country code for Google News (e.g., US, IN, GB, FR)", "default": "US" }, "deepScrape": { "title": "Deep Scrape Articles", "type": "boolean", "description": "If true, visits each article page to extract full content (author, full text, images, etc.). This is slower but provides much richer data.", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify Proxy configuration. Use RESIDENTIAL group for best results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```