# Google News Actor (`vnx0/google-news-actor`) Actor Google News Scraper collects localized Google News Search, Top Stories, and Topic feeds with infinitescroll, keyword operators, and hashed-topic coverage while deduplicating results across migrations. - **URL**: https://apify.com/vnx0/google-news-actor.md - **Developed by:** [Vnx0](https://apify.com/vnx0) (community) - **Categories:** News, Automation, Developer tools - **Stats:** 6 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2,500.00 / 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 Actor Collect real-time Google News Search, Top Stories, and Topic feeds with localized filtering, infinite scroll coverage, and optional redirect unwrapping for clean publisher URLs. ### Why teams pick this actor - **Rank-ready coverage** – Mirrors the long-form, marketing-first READMEs of top marketplace actors while focusing on actionable data (headlines, snippets, publishers, timestamps, thumbnails, canonical URLs). - **3 capture modes** – SEARCH for keyword monitoring, TOP_STORIES for country/region dashboards, TOPIC (incl. hashed topic IDs) for the curated Google News sections journalists rely on. - **Localization first** – Every run requires an explicit `language` like `en-US` or `de-DE`, so you can mirror the behavior of your target newsroom or SEO locale. - **Stateful infinite scroll** – Playwright + Chrome scrolls until `maxItems`, deduplicates via persistent state, and survives platform migrations without repeating articles. - **Redirect intelligence** – Toggle `resolveRedirects` to unwrap `news.google.com` links via HTTP first, then fall back to a headless browser for stubborn publishers. - **Operator friendly** – Resource throttling (blocked assets, batching, optional proxy pools) keeps compute predictable, so you can undercut $20/month competitors while still monetizing premium options. ### Perfect for - Trend and sentiment tracking dashboards - Competitive/brand monitoring in multiple languages - Feeding LLM/RAG pipelines with fresh, normalized news snippets - SEO teams mapping content velocity or backlink opportunities - Research teams exporting CSV/JSON data into BI tools ### Data you get | Field | Description | | --- | --- | | `title` | Headline as displayed on Google News | | `source` | Publisher name extracted from the card | | `publishedAt` | ISO timestamp normalized from relative strings (e.g., “3 hours ago”) | | `originalUrl` | Google News redirect URL (always present) | | `finalUrl` | Set when `resolveRedirects=true`; points at the publisher site | | `thumbnailUrl` | Image from the article card, when available | | `snippet` | Reserved for future excerpt support | ### Modes & localization cheatsheet | Mode | When to use | URL that gets crawled | | --- | --- | --- | | `SEARCH` | Keyword monitoring, advanced query operators | `https://news.google.com/search?q={query}` | | `TOP_STORIES` | Country-level front page | `https://news.google.com/topstories` | | `TOPIC` | Curated sections & hashed topics | Either `https://news.google.com/topics/{topicId}` or a fallback search | **Topic IDs & sections** 1. Open the desired topic/section on news.google.com. 2. Copy the hashed ID from the URL (e.g., `CAAqJggKIiBDQkFTRWdvSUwyMHZNRGRqTVhZU0FtVnVHZ0pWVXlnQVAB`). 3. Pass it in `query` when `mode="TOPIC"` to lock the crawler to that curated feed. ### Input parameters | Field | Type | Required | Default | Notes | | --- | --- | --- | --- | --- | | `mode` | `'SEARCH' | 'TOP_STORIES' | 'TOPIC'` | No | `SEARCH` | Controls which Google News surface we crawl | | `query` | `string` | SEARCH / custom TOPIC | – | Keywords or hashed topic IDs | | `language` | `ll-CC` | Yes | `en-US` | Drives `hl`, `gl`, and `ceid` params; always set it (best practice from Apify leaderboard actors) | | `resolveRedirects` | `boolean` | No | `false` | Adds an HTTP + optional browser hop per article to unwrap publisher URLs | | `maxItems` | `number` | No | `100` | Hard stop for infinite scroll + dataset pushes | | `proxyConfiguration` | `object` | No | Apify auto | Pass your proxy group or custom proxy URL | ### Advanced search operators - Exact match: `"artificial intelligence"` - Source filter: `site:reuters.com "earnings"` - Title only: `intitle:"climate"` - Exclusions: `tesla -stock` - Date bounds: `after:2024-01-01 before:2024-06-30` Combine operators to reproduce the saved searches marketing teams monitor daily. ### Quick start 1. **Add the actor** from the Apify Store and click “Try for free”. 2. **Choose the mode** (SEARCH, TOP_STORIES, TOPIC) and fill in `language` (e.g., `en-GB`). 3. **Paste your keywords or topic IDs**; bump `maxItems` if you need deeper coverage. 4. **Optional:** enable `resolveRedirects` for canonical publisher URLs. 5. **Run & download** the dataset as JSON, CSV, Excel, or stream it via the Apify API. ### Output example ```json { "title": "OpenAI ships GPT-Next", "source": "TechCrunch", "publishedAt": "2025-11-25T14:30:00.000Z", "originalUrl": "https://news.google.com/rss/articles/CBMiYmh0dHBzOi8vbmV3cy5nb29nbGUuY29tLy4uLg", "finalUrl": "https://techcrunch.com/2025/11/25/openai-gpt-next", "thumbnailUrl": "https://lh3.googleusercontent.com/..." } ```` #### Dataset schema | Field | Type | Example | Notes | | --- | --- | --- | --- | | `title` | `string` | `"Tesla unveils new Model"` | Headline pulled from the card | | `source` | `string` | `"Reuters"` | Publisher label | | `publishedAt` | `string (ISO-8601)` | `"2025-11-25T14:30:00.000Z"` | Normalized by `parseGoogleDate` | | `originalUrl` | `string` | `"https://news.google.com/..."` | Always present, Google redirect | | `finalUrl` | `string` | `"https://www.reuters.com/..."` | Only populated when `resolveRedirects=true` or when Google already links directly | | `thumbnailUrl` | `string` | `"https://lh3.googleusercontent.com/..."` | Optional image URL | | `snippet` | `string` | `null` | Reserved for future excerpt extraction | Every dataset item is stored in the default Apify Dataset, so you can download JSON/CSV/Excel or stream via the Dataset API. ### Cost & performance tips - Redirect resolution is the main price lever. Keep it off for cheaper monitoring runs and upsell it as a premium add-on when clients need canonical URLs. - Because the crawler blocks images/fonts and reuses sessions, SEARCH mode can pull ~100 results on the default memory tier. Increase the run memory only when `maxItems` is very high. - Persistent state (`STATE` key-value store) prevents duplicates if the run migrates, so re-runs won’t waste your monthly budget. ### Need help? Open an issue in the Apify actor console or ping us with your run ID. We actively benchmark against the highest-ranking Google News actors (e.g., api-empire/google-news-scraper at $19.99/month) to keep this README—and the crawler—competitive. # Actor input Schema ## `mode` (type: `string`): Choose what to scrape: Search results, Top Stories (Headlines), or a specific Topic. ## `query` (type: `string`): Keywords to search for. Required if mode is SEARCH. ## `language` (type: `string`): Language and region code (e.g., 'en-US', 'en-GB', 'es-ES'). Maps to 'hl' and 'gl' parameters. ## `resolveRedirects` (type: `boolean`): If enabled, the actor will follow Google's redirect links to get the actual publisher URL. WARNING: This is slower and consumes more resources. ## `maxItems` (type: `integer`): Maximum number of articles to scrape. ## `proxyConfiguration` (type: `object`): Select proxies to be used by your actor. ## Actor input object example ```json { "mode": "SEARCH", "language": "en-US", "resolveRedirects": false, "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `dataset` (type: `string`): Dataset containing all scraped news articles with headlines, sources, timestamps, and URLs # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("vnx0/google-news-actor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "proxyConfiguration": { "useApifyProxy": True } } # Run the Actor and wait for it to finish run = client.actor("vnx0/google-news-actor").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 '{ "proxyConfiguration": { "useApifyProxy": true } }' | apify call vnx0/google-news-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=vnx0/google-news-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google News Actor", "description": "Google News Scraper collects localized Google News Search, Top Stories, and Topic feeds with infinitescroll, keyword operators, and hashed-topic coverage while deduplicating results across migrations.", "version": "0.0", "x-build-id": "bvLBKe99zYIoJOOrP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/vnx0~google-news-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-vnx0-google-news-actor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/vnx0~google-news-actor/runs": { "post": { "operationId": "runs-sync-vnx0-google-news-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/vnx0~google-news-actor/run-sync": { "post": { "operationId": "run-sync-vnx0-google-news-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Scrape Mode", "enum": [ "SEARCH", "TOP_STORIES", "TOPIC" ], "type": "string", "description": "Choose what to scrape: Search results, Top Stories (Headlines), or a specific Topic.", "default": "SEARCH" }, "query": { "title": "Search Query", "type": "string", "description": "Keywords to search for. Required if mode is SEARCH." }, "language": { "title": "Language & Region", "type": "string", "description": "Language and region code (e.g., 'en-US', 'en-GB', 'es-ES'). Maps to 'hl' and 'gl' parameters.", "default": "en-US" }, "resolveRedirects": { "title": "Resolve Redirects", "type": "boolean", "description": "If enabled, the actor will follow Google's redirect links to get the actual publisher URL. WARNING: This is slower and consumes more resources.", "default": false }, "maxItems": { "title": "Maximum items", "type": "integer", "description": "Maximum number of articles to scrape.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your actor." } } }, "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 } } } } } } } } } } ```