# Google News Scraper — 1K Results / $1 (`crw/google-news-scraper-1k-results-1`) Actor Get structured article data from Google News — no API key or login needed. Supports keyword search (~100 results) and topic/section feeds (~250 results) across 130+ languages and regions. Returns title, URL, publish time, source, thumbnail, and authors in clean JSON. - **URL**: https://apify.com/crw/google-news-scraper-1k-results-1.md - **Developed by:** [CRW](https://apify.com/crw) (community) - **Categories:** News, Automation, Developer tools - **Stats:** 3 total users, 1 monthly users, 94.6% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 > Get structured news data from Google News — no API key, no login, no rate limit headaches. Search by keyword **and** scrape topic feeds — both modes in one actor. Get clean JSON with titles, URLs, publishers, timestamps, thumbnails, and authors — ready to plug into your pipeline. --- ### What you get ```json [ { "title": "SpaceX's plan: Put all the data centers in space, then profit", "url": "https://www.washingtonpost.com/technology/2026/06/19/data-center-space-musks-spacex-has-some-people-taking-it-seriously/", "publishedAt": 1781888401, "source": { "name": "The Washington Post" }, "thumbnail": "https://www.washingtonpost.com/wp-apps/imrs.php?src=https://arc-anglerfish-washpost-prod-washpost.s3.amazonaws.com/public/X6HY6FR3HEWBIATANRWYEHVSYY_size-normalized.jpg&w=1440", "authors": ["Elizabeth Dwoskin", "Faiz Siddiqui"] }, { "title": "Summer solstice 2026: What is it and why is it the longest day of the year?", "url": "https://www.bbc.com/weather/articles/c4gy3x0k32yo", "publishedAt": 1781593422, "source": { "name": "BBC" }, "thumbnail": "https://ichef.bbci.co.uk/ace/standard/1920/cpsprodpb/62b7/live/a3d32eb0-6bcd-11f1-8546-8f19e4fe30f4.jpg", "authors": [] } ] ```` Results export as JSON, CSV, Excel, XML, or HTML — pick what fits your workflow. *** ### What you can do with it - Monitor breaking news on any keyword or topic - Track competitor mentions and brand sentiment - Feed an LLM with fresh, relevant context - Power a news dashboard or newsletter - Run media research across 130+ countries and languages *** ### Two modes, one actor Most news scrapers do one or the other. This one does both — so you can run keyword monitoring and topic feeds in the same pipeline without switching tools. #### Search — keyword-driven Query any term and get the articles Google thinks are most relevant right now. ``` query: "OpenAI" → up to 100 articles ``` Good for: brand monitoring, competitor tracking, event-driven research. #### Category — topic feed Pull the latest articles from Google News topic feeds — the same feeds you see when you browse the site. ``` topic: "Technology/Artificial intelligence" → up to 250 articles ``` Good for: daily digests, LLM context pipelines, niche topic monitoring. Supported top-level topics: **Business, Entertainment, World, Technology, Sports, Science, Health, U.S.** Each topic has sub-sections: - Business: Economy, Markets, Jobs, Personal Finance, Entrepreneurship - Entertainment: Movies, Music, TV, Books, Arts & Design, Celebrities - Technology: Mobile, Gadgets, Internet, Virtual Reality, Artificial Intelligence, Computing - Sports: NFL, NBA, MLB, NHL, NCAA Football, NCAA Basketball, Soccer, NASCAR, Golf, Tennis, WNBA - Science: Environment, Space, Physics, Genetics, Wildlife - Health: Medication, Health Care, Mental Health, Nutrition, Fitness *** ### Quick start **On Apify platform (no code):** 1. Click **Try for free** 2. Set `mode` to `search` and enter your `query` — or set `mode` to `category` and pick a `topic` 3. Click **Start** and grab your results from the **Dataset** tab **Via API:** ```bash curl -X POST "https://api.apify.com/v2/acts/crw~google-news-scraper-1k-results-1/runs?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"mode": "search", "query": "artificial intelligence", "maxResults": 100}' ``` *** ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `mode` | `"search"` | `"category"` | `"category"` | How to find articles | | `query` | string | — | Search term. Required when `mode=search` | | `topic` | string | `"Business"` | Topic feed. Required when `mode=category` | | `customTopic` | string | — | Raw topic path for topics not in the dropdown (see below) | | `language` | string | `"en-US"` | Language and region | | `maxResults` | integer | `100` | How many articles to return (50–250) | #### Language Set `language` to any `language-REGION` code to get results localized for that audience. Common values: `en-US` · `en-GB` · `ko-KR` · `ja-JP` · `zh-CN` · `zh-TW` · `de-DE` · `fr-FR` · `es-ES` · `pt-BR` · `ru-RU` · `ar-SA` 130+ locales are supported. See the full list in [input\_schema.json](.actor/input_schema.json). #### Custom Topic Google News has many more topics than what's in the dropdown — country editions, niche categories, local news, and more. To scrape any of them, grab the URL from your browser: ``` https://news.google.com/topics/CAAqJggKIiBDQkFTRWdv.../sections/CAQiRkNC... └─────────────────────────────────────────┘ copy this part ``` Paste it into `customTopic` (the `topics/` prefix is optional — it gets stripped automatically). This takes priority over the `topic` dropdown. *** ### Output fields | Field | Type | Notes | |-------|------|-------| | `articleId` | string | Google News internal ID | | `title` | string | Article headline | | `url` | string | Direct link to the article | | `publishedAt` | number | Unix timestamp (seconds) | | `source.name` | string | Publisher name | | `source.favicon` | string | null | Publisher favicon URL | | `thumbnail` | string | null | Article thumbnail image URL | | `authors` | string\[] | Author names (may be empty) | *** ### Expected article counts | Mode | Typical results | |------|----------------| | Search | ~100 articles | | Category (top-level) | ~250 articles | | Category (sub-section) | 45–230 articles | Results reflect what Google News currently shows for that topic — counts vary by how much news is happening. # Actor input Schema ## `mode` (type: `string`): search: keyword search results, category: topic feed ## `query` (type: `string`): Required when mode=search. E.g. 'iran', 'AI technology' ## `topic` (type: `string`): Required when mode=category. ## `customTopic` (type: `string`): Override topic with a raw path. E.g. 'topics/CAAq.../sections/CAQi...'. Takes priority over Topic dropdown when mode=category. ## `language` (type: `string`): Language and region for Google News results. ## `maxResults` (type: `integer`): Maximum number of articles to collect ## Actor input object example ```json { "mode": "category", "topic": "Business", "language": "en-US", "maxResults": 100 } ``` # Actor output Schema ## `api` (type: `string`): REST API endpoint to download the dataset programmatically. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("crw/google-news-scraper-1k-results-1").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 = {} # Run the Actor and wait for it to finish run = client.actor("crw/google-news-scraper-1k-results-1").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 '{}' | apify call crw/google-news-scraper-1k-results-1 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crw/google-news-scraper-1k-results-1", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google News Scraper — 1K Results / $1", "description": "Get structured article data from Google News — no API key or login needed. Supports keyword search (~100 results) and topic/section feeds (~250 results) across 130+ languages and regions. Returns title, URL, publish time, source, thumbnail, and authors in clean JSON.", "version": "0.0", "x-build-id": "o3Y8ksbXPzCeiLU3i" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crw~google-news-scraper-1k-results-1/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crw-google-news-scraper-1k-results-1", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/crw~google-news-scraper-1k-results-1/runs": { "post": { "operationId": "runs-sync-crw-google-news-scraper-1k-results-1", "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/crw~google-news-scraper-1k-results-1/run-sync": { "post": { "operationId": "run-sync-crw-google-news-scraper-1k-results-1", "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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "category" ], "type": "string", "description": "search: keyword search results, category: topic feed", "default": "category" }, "query": { "title": "Search Query", "type": "string", "description": "Required when mode=search. E.g. 'iran', 'AI technology'" }, "topic": { "title": "Topic", "enum": [ "Business", "Business/Economy", "Business/Markets", "Business/Jobs", "Business/Personal finance", "Business/Entrepreneurship", "Entertainment", "Entertainment/Movies", "Entertainment/Music", "Entertainment/TV", "Entertainment/Books", "Entertainment/Arts & design", "Entertainment/Celebrities", "World", "Technology", "Technology/Mobile", "Technology/Gadgets", "Technology/Internet", "Technology/Virtual reality", "Technology/Artificial intelligence", "Technology/Computing", "Sports", "Sports/NFL", "Sports/NBA", "Sports/MLB", "Sports/NHL", "Sports/NCAA Football", "Sports/NCAA Basketball", "Sports/Soccer", "Sports/NASCAR", "Sports/Golf", "Sports/Tennis", "Sports/WNBA", "Science", "Science/Environment", "Science/Space", "Science/Physics", "Science/Genetics", "Science/Wildlife", "Health", "Health/Medication", "Health/Health care", "Health/Mental health", "Health/Nutrition", "Health/Fitness", "U.S." ], "type": "string", "description": "Required when mode=category.", "default": "Business" }, "customTopic": { "title": "Custom Topic / Section Path", "type": "string", "description": "Override topic with a raw path. E.g. 'topics/CAAq.../sections/CAQi...'. Takes priority over Topic dropdown when mode=category." }, "language": { "title": "Language & Region", "enum": [ "id-ID", "cs-CZ", "de-DE", "de-LI", "de-LU", "de-AT", "de-CH", "en-AL", "en-AG", "en-AU", "en-BH", "en-BD", "en-BZ", "en-BA", "en-BW", "en-KH", "en-CA", "en-EE", "en-ET", "en-FJ", "en-GH", "en-IS", "en-IN", "en-ID", "en-IE", "en-IL", "en-JM", "en-KE", "en-LV", "en-MY", "en-MT", "en-MU", "en-NA", "en-NP", "en-NZ", "en-NG", "en-MK", "en-PK", "en-PG", "en-PH", "en-RW", "en-SG", "en-ZA", "en-LK", "en-TZ", "en-TT", "en-UG", "en-GB", "en-US", "en-ZM", "en-ZW", "es-AR", "es-BO", "es-CL", "es-CO", "es-CR", "es-CU", "es-EC", "es-SV", "es-ES", "es-US", "es-GT", "es-HN", "es-MX", "es-NI", "es-PA", "es-PY", "es-PE", "es-DO", "es-UY", "es-VE", "fr-BE", "fr-BJ", "fr-BF", "fr-CM", "fr-CA", "fr-CV", "fr-CI", "fr-FR", "fr-GA", "fr-HT", "fr-ML", "fr-MA", "fr-NE", "fr-SN", "fr-CH", "fr-TG", "hr-HR", "it-IT", "lv-LV", "lt-LT", "hu-HU", "nl-AW", "nl-BE", "nl-NL", "no-NO", "pl-PL", "pt-BR", "pt-PT", "ro-MD", "ro-RO", "sk-SK", "sl-SI", "sv-SE", "vi-VN", "tr-TR", "el-GR", "el-CY", "bg-BG", "ru-AZ", "ru-AM", "ru-BY", "ru-KZ", "ru-KG", "ru-RU", "ru-TJ", "ru-TM", "ru-UZ", "ru-UA", "sr-RS", "uk-UA", "he-IL", "ar-JO", "ar-AE", "ar-KW", "ar-SA", "ar-OM", "ar-QA", "ar-LB", "ar-EG", "mr-IN", "hi-IN", "bn-BD", "bn-IN", "ta-IN", "te-IN", "kn-IN", "ml-IN", "th-LA", "th-TH", "zh-CN", "zh-TW", "zh-HK", "ja-JP", "ko-KR" ], "type": "string", "description": "Language and region for Google News results.", "default": "en-US" }, "maxResults": { "title": "Max Results", "minimum": 50, "maximum": 250, "type": "integer", "description": "Maximum number of articles to collect", "default": 100 } } }, "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 } } } } } } } } } } ```