# Google News Scraper - Articles by Keyword & Source (`benthepythondev/google-news-scraper`) Actor Search Google News by keyword and get structured articles: title, publisher, date, link and snippet, for any topic, language and country. Powered by Google's public News RSS, so it's fast and reliable. Great for brand monitoring, PR, market research and content aggregation. - **URL**: https://apify.com/benthepythondev/google-news-scraper.md - **Developed by:** [ben](https://apify.com/benthepythondev) (community) - **Categories:** News, Marketing, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $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 Track any topic in the news. Search Google News by keyword (or a whole list of keywords) and get back clean, structured articles — headline, publisher, publication date, link and snippet — for any language and country. Powered by Google's public News feeds, so it's fast, lightweight and reliable: no browser, no logins, no blocks. Perfect for brand & reputation monitoring, PR, market and competitor research, and content aggregation. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n. ### 🔎 What is the Google News Scraper? Give it a keyword (e.g. your brand, a competitor, or a topic) and it returns the latest matching news articles as structured rows — ready to analyze, alert on, or feed to an LLM. Add multiple keywords to monitor several topics in one run, and set the language/country to target any Google News edition worldwide. #### What data does it extract? - **Headline** (clean) and the full original title - **Publisher / source** (name + site) - **Publication date** - **Article link** - **Snippet** (text summary) - The **query** each article matched ### ⬇️ Input | Field | Type | Description | |-------|------|-------------| | `query` | string | Keyword/phrase to search, e.g. `artificial intelligence` or a brand name. | | `queries` | array | Optional list of additional keywords (each returns its own articles). | | `language` | string | Language code (`hl`), e.g. `en-US`, `de`, `es`, `fr`. Default `en-US`. | | `country` | string | Country/edition (`gl`), e.g. `US`, `DE`, `GB`. Default `US`. | | `maxItemsPerQuery` | integer | Max articles per query (up to 100). Default `50`. | #### Example input ```json { "query": "electric vehicles", "queries": ["Tesla", "Rivian", "BYD"], "language": "en-US", "country": "US", "maxItemsPerQuery": 100 } ```` ### ⬆️ Output One record per article: ```json { "title": "2026 Tesla Model Y vs Toyota bZ Comparison Test", "full_title": "2026 Tesla Model Y vs Toyota bZ Comparison Test - Car and Driver", "source": "Car and Driver", "source_url": "https://www.caranddriver.com", "link": "https://news.google.com/rss/articles/CBMi...", "published": "Fri, 27 Jun 2026 12:30:00 GMT", "snippet": "A head-to-head comparison of the refreshed Model Y...", "guid": "CBMiQ...", "query": "Tesla" } ``` ### 💡 Use cases - 🛡️ **Brand & reputation monitoring** — track mentions of your company or product and pipe new articles to Slack/email on a schedule. - 📊 **Market & competitor research** — follow competitors, industries and trends across many sources at once. - 🗞️ **Content aggregation** — build a news feed or newsletter for any niche. - 🤖 **LLM / AI pipelines** — feed fresh, structured news into summarization or sentiment models. ### ❓ FAQ **Do I need an API key or login?** No — just a keyword. **Can I monitor several topics at once?** Yes — add them to `queries`; each produces its own articles. **Which languages/countries are supported?** Any Google News edition — set `language` (hl) and `country` (gl). **How fresh are the results?** They reflect Google News' current feed for your query (newest first). **Why is the link a news.google.com URL?** Google News serves redirect links; they open the original article. The `source` field gives you the publisher directly. **Can I schedule it / get alerts?** Yes — schedule recurring runs and connect to Make/Zapier/n8n or the API. **How does pricing work?** Pay per article returned. No subscription. **Is it legal?** It reads publicly available Google News headlines/metadata. Use responsibly and within applicable terms. ### 🔗 You might also like - [Newsletter Scraper](https://apify.com/benthepythondev/newsletter-scraper) — extract newsletter content. - [Reddit Scraper](https://apify.com/benthepythondev/reddit-scraper) — discussions and sentiment. - [Website Contact & Email Extractor](https://apify.com/benthepythondev/website-contact-extractor) — emails, phones & socials from any site. *** **Keywords:** google news scraper, news scraper, news api, brand monitoring, media monitoring, news aggregator, scrape google news, news articles data, pr monitoring, competitor monitoring, news feed scraper, headlines scraper, news rss, topic monitoring, market research news, content aggregation # Actor input Schema ## `query` (type: `string`): Keyword or phrase to search Google News for, e.g. 'artificial intelligence', a brand name, or 'Tesla'. ## `queries` (type: `array`): Optional list of extra keywords/phrases to search (each produces its own articles). ## `language` (type: `string`): Interface/results language code, e.g. 'en-US', 'de', 'es', 'fr'. ## `country` (type: `string`): Country/edition code, e.g. 'US', 'DE', 'GB', 'FR'. ## `maxItemsPerQuery` (type: `integer`): Maximum number of articles to return per query (Google News RSS returns up to 100). ## Actor input object example ```json { "query": "artificial intelligence", "language": "en-US", "country": "US", "maxItemsPerQuery": 50 } ``` # 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": "artificial intelligence", "language": "en-US", "country": "US" }; // Run the Actor and wait for it to finish const run = await client.actor("benthepythondev/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": "artificial intelligence", "language": "en-US", "country": "US", } # Run the Actor and wait for it to finish run = client.actor("benthepythondev/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": "artificial intelligence", "language": "en-US", "country": "US" }' | apify call benthepythondev/google-news-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=benthepythondev/google-news-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google News Scraper - Articles by Keyword & Source", "description": "Search Google News by keyword and get structured articles: title, publisher, date, link and snippet, for any topic, language and country. Powered by Google's public News RSS, so it's fast and reliable. Great for brand monitoring, PR, market research and content aggregation.", "version": "1.0", "x-build-id": "qOIAZVbGZNNNHQQGK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/benthepythondev~google-news-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-benthepythondev-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/benthepythondev~google-news-scraper/runs": { "post": { "operationId": "runs-sync-benthepythondev-google-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/benthepythondev~google-news-scraper/run-sync": { "post": { "operationId": "run-sync-benthepythondev-google-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search query", "type": "string", "description": "Keyword or phrase to search Google News for, e.g. 'artificial intelligence', a brand name, or 'Tesla'.", "default": "artificial intelligence" }, "queries": { "title": "Additional queries", "type": "array", "description": "Optional list of extra keywords/phrases to search (each produces its own articles).", "items": { "type": "string" } }, "language": { "title": "Language (hl)", "type": "string", "description": "Interface/results language code, e.g. 'en-US', 'de', 'es', 'fr'.", "default": "en-US" }, "country": { "title": "Country (gl)", "type": "string", "description": "Country/edition code, e.g. 'US', 'DE', 'GB', 'FR'.", "default": "US" }, "maxItemsPerQuery": { "title": "Max articles per query", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of articles to return per query (Google News RSS returns up to 100).", "default": 50 } } }, "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 } } } } } } } } } } ```