# Google News Scraper (`xtracto/google-news-scraper`) Actor Aggregate news headlines from Google News by keyword, topic section, or the latest top headlines, in any language/country edition. Returns clean structured records per article: headline, source, publish time, and link (optionally decoded to the real publisher URL). - **URL**: https://apify.com/xtracto/google-news-scraper.md - **Developed by:** [Farhan Febrian Nauval](https://apify.com/xtracto) (community) - **Categories:** News, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.99 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Aggregate news headlines from Google News by keyword, topic section, or the latest top headlines — in any language and country edition. Each article comes back as a clean, structured record: headline, source, publish time, and link (optionally decoded to the real publisher URL). No account, no login, no API key. ### Why use this actor - **No account, no login, no API key** — the data is public Google News. - **Search any keyword** — a company, person, product, or topic (e.g. "artificial intelligence") — or pull a whole topic section, or the current top headlines. - **Any edition** — pick the language and country (US English, UK English, German, Spanish, Brazilian Portuguese, and so on). - **Clean source data** — the publication name, its domain, and the exact publish time (as a standard timestamp) for every article. - **Real publisher links (optional)** — turn on URL resolving to get the article's true publisher URL instead of the Google redirect link. - **Stable JSON** ready for a spreadsheet, database, dashboard, or alerting pipeline. Export to JSON, CSV, or Excel. Runs on Apify's schedule with automatic retries. ### How it works 1. You give it a keyword (or pick a topic section, or leave both blank for the latest top headlines) and choose the language/country edition. 2. The actor fetches the matching Google News feed and reads every article in it. 3. For each article it returns the headline, the source, the publish time, and the link. 4. Optionally, it decodes each link to the real publisher URL. You don't manage any scrapers, browsers, or blocks — just set the inputs and run. ### Input ```json { "query": "artificial intelligence", "topic": "", "mode": "latest", "language": "en-US", "country": "US", "ceid": "", "maxItems": 100, "resolveUrls": false, "maxConcurrency": 5, "proxyConfiguration": { "useApifyProxy": false } } ```` | Field | Type | Description | | --- | --- | --- | | `query` | string | The main input: a news search term (keyword, company, person, topic). Leave blank to use a topic section or the latest headlines instead. | | `topic` | string | A curated section — one of `WORLD`, `NATION`, `BUSINESS`, `TECHNOLOGY`, `ENTERTAINMENT`, `SPORTS`, `SCIENCE`, `HEALTH`. Used only when `query` is blank. | | `mode` | string | What to fetch when both `query` and `topic` are blank. `latest` returns the current top headlines. | | `language` | string | Interface language code, e.g. `en-US`, `en-GB`, `es-419`, `fr`, `de`. | | `country` | string | 2-letter country/edition code, e.g. `US`, `GB`, `IN`, `DE`, `BR`. | | `ceid` | string | Advanced. Google edition code as `:` (e.g. `US:en`). Leave blank to derive it automatically from language + country. | | `maxItems` | integer | Max articles to return. Google's feed hard-caps at **100** items per query and does not paginate, so 100 is the ceiling. | | `resolveUrls` | boolean | When on, decodes each article's Google redirect link to the real publisher URL. Slower (extra requests per article) and best-effort — it falls back to the Google link if decoding fails. Off by default. | | `maxConcurrency` | integer | How many links to resolve in parallel (only used when `resolveUrls` is on). | | `proxyConfiguration` | object | Optional. The feed works without a proxy at low volume; turn one on (ideally non-EU) if you resolve many links at scale. | ### Output One record per article. **Sample 1 — keyword search, `resolveUrls` off** (real output for `query: "artificial intelligence"`): ```json { "_input": "artificial intelligence", "_source": "S1-rss", "_scrapedAt": "2026-07-10T12:00:21Z", "title": "The Case for Nationalizing Artificial Intelligence - Jacobin", "cleanTitle": "The Case for Nationalizing Artificial Intelligence", "sourceName": "Jacobin", "sourceUrl": "https://jacobin.com", "sourceDomain": "jacobin.com", "pubDate": "2026-07-09T14:47:17Z", "pubDateRaw": "Thu, 09 Jul 2026 14:47:17 GMT", "link": "https://news.google.com/rss/articles/CBMidEFVX3lxTFBZOG5TTC0tUldnVzlLUkZGU3R0ejdlSXBsODJ3aDRfZUF4N1h6czA1SU1ZNzF2TDFDTFd0R0J3MlZxbmllMDNZU2x2ZWpiR2xaWmhPV2U1WTRpb0FkSTRKZFNnTFMzWjBpTTREZmEta3pXV1lw?oc=5", "guid": "CBMidEFVX3lxTFBZOG5TTC0tUldnVzlLUkZGU3R0ejdlSXBsODJ3aDRfZUF4N1h6czA1SU1ZNzF2TDFDTFd0R0J3MlZxbmllMDNZU2x2ZWpiR2xaWmhPV2U1WTRpb0FkSTRKZFNnTFMzWjBpTTREZmEta3pXV1lw", "articleId": "CBMidEFVX3lxTFBZOG5TTC0tUldnVzlLUkZGU3R0ejdlSXBsODJ3aDRfZUF4N1h6czA1SU1ZNzF2TDFDTFd0R0J3MlZxbmllMDNZU2x2ZWpiR2xaWmhPV2U1WTRpb0FkSTRKZFNnTFMzWjBpTTREZmEta3pXV1lw", "feedTitle": "\"artificial intelligence\" - Google News" } ``` **Sample 2 — same query with `resolveUrls: true`** (real output; note `resolvedUrl` and `_resolveStatus`): ```json { "_input": "artificial intelligence", "_source": "S1-rss", "_scrapedAt": "2026-07-10T12:00:21Z", "title": "The Case for Nationalizing Artificial Intelligence - Jacobin", "cleanTitle": "The Case for Nationalizing Artificial Intelligence", "sourceName": "Jacobin", "sourceUrl": "https://jacobin.com", "sourceDomain": "jacobin.com", "pubDate": "2026-07-09T14:47:17Z", "pubDateRaw": "Thu, 09 Jul 2026 14:47:17 GMT", "link": "https://news.google.com/rss/articles/CBMidEFVX3lxTFBZOG5TTC0tUldnVzlLUkZGU3R0ejdlSXBsODJ3aDRfZUF4N1h6czA1SU1ZNzF2TDFDTFd0R0J3MlZxbmllMDNZU2x2ZWpiR2xaWmhPV2U1WTRpb0FkSTRKZFNnTFMzWjBpTTREZmEta3pXV1lw?oc=5", "guid": "CBMidEFVX3lxTFBZOG5TTC0tUldnVzlLUkZGU3R0ejdlSXBsODJ3aDRfZUF4N1h6czA1SU1ZNzF2TDFDTFd0R0J3MlZxbmllMDNZU2x2ZWpiR2xaWmhPV2U1WTRpb0FkSTRKZFNnTFMzWjBpTTREZmEta3pXV1lw", "articleId": "CBMidEFVX3lxTFBZOG5TTC0tUldnVzlLUkZGU3R0ejdlSXBsODJ3aDRfZUF4N1h6czA1SU1ZNzF2TDFDTFd0R0J3MlZxbmllMDNZU2x2ZWpiR2xaWmhPV2U1WTRpb0FkSTRKZFNnTFMzWjBpTTREZmEta3pXV1lw", "feedTitle": "\"artificial intelligence\" - Google News", "resolvedUrl": "https://jacobin.com/2026/07/ai-policy-nationalization-commons-work", "_resolveStatus": "ok" } ``` More real `resolvedUrl` values from the same run: Reuters → `https://www.reuters.com/technology/artificial-intelligence/china-weighs-silicon-curtain-around-sought-after-ai-models-2026-07-08/`, U.S. News → `https://www.usnews.com/news/business/articles/2026-07-10/sk-hynix-hits-the-u-s-stock-market-as-demand-for-memory-chips-soars-amid-ai-frenzy`. | Field | Type | Description | | --- | --- | --- | | `title` | string | The article headline as Google publishes it (ends with " - Source"). | | `cleanTitle` | string | The headline with the trailing " - Source" removed. | | `sourceName` | string | The publication name (e.g. "Jacobin", "Reuters"). | | `sourceUrl` | string | The publication's home page. | | `sourceDomain` | string | The publication's domain (e.g. `reuters.com`). | | `pubDate` | string | Publish time as a standard UTC timestamp (`YYYY-MM-DDTHH:MM:SSZ`). | | `pubDateRaw` | string | The original publish time string from the feed. | | `link` | string | The Google News link for the article (a Google redirect). | | `guid` | string | The article's stable Google id. | | `articleId` | string | The encoded article id (from the link). | | `feedTitle` | string | The title of the feed the article came from. | | `resolvedUrl` | string | The real publisher URL — present only when `resolveUrls` is on (else absent; `null` if a specific article couldn't be decoded). | | `_resolveStatus` | string | `ok` or `failed` — present only when `resolveUrls` is on. | ### Notes & limits - **Headlines only, by design.** Google News gives the headline, source, time, and link — **no article body and no thumbnail**. Feed the `link` (or `resolvedUrl`) into an article-text scraper if you need the full story. - **100-article ceiling.** A single Google News feed returns at most 100 items and offers no paging, so `maxItems` tops out at 100. To go wider, run several narrower queries (different keywords, editions, or topics). - **`resolveUrls` is optional and best-effort.** Decoding the real publisher URL costs extra requests per article and depends on a Google mechanism that changes from time to time. It is wrapped so that if a decode fails, the record still comes back with `resolvedUrl: null`, `_resolveStatus: "failed"`, and a `_warning` — the run never crashes over it. Leave it off unless you specifically need publisher URLs. Verified working live on 2026-07-10 (Jacobin, Reuters, U.S. News). - **Editions.** `language` + `country` map to a Google edition; the `ceid` is derived for you (e.g. `en-US` + `US` → `US:en`). Set `ceid` directly only if you know the exact edition code you want. - **Consent wall.** In some regions Google shows a consent interstitial; the actor sends a standing consent signal to skip it. If you still hit it, enable the proxy with a non-EU region. - **The `description` field is dropped.** Google's RSS description is just a repeated link, not a real article summary, so it isn't included. ### Other actors in this collection | Actor | What it does | | --- | --- | | Smart News Loader | Extracts full article text from any news URL. | | SEC Form D Funding Tracker | Fresh US private-placement funding rounds from SEC filings. | | OLX Classifieds Scraper | Marketplace listings across multiple countries. | # Actor input Schema ## `query` (type: `string`): News search term (a keyword, company, person, or topic). This is the main input. Leave blank to use a Topic section or the Latest headlines instead. ## `topic` (type: `string`): Fetch a curated topic section instead of a keyword search. Used only when Keyword is blank. ## `mode` (type: `string`): What to fetch when both Keyword and Topic are blank. 'latest' returns the current top headlines. ## `language` (type: `string`): Interface language code, e.g. en-US, en-GB, es-419, fr, de. ## `country` (type: `string`): 2-letter country/edition code, e.g. US, GB, IN, DE, BR. ## `ceid` (type: `string`): Advanced. Google edition code in the form ':' (e.g. US:en). Leave blank to derive it automatically from Language + Country. ## `maxItems` (type: `integer`): Maximum articles to return. Google's news feed hard-caps at 100 items per query and does not paginate, so 100 is the ceiling. ## `resolveUrls` (type: `boolean`): When on, each article's Google redirect link is decoded to the real publisher URL. This costs extra requests per article and is slower; it is best-effort and falls back to the Google link if decoding fails. Off by default. ## `maxConcurrency` (type: `integer`): How many article URLs to resolve in parallel (only used when 'Resolve real publisher URLs' is on). ## `proxyConfiguration` (type: `object`): Optional. The news feed works without a proxy at low volume. Turn on a proxy (ideally non-EU) if you hit a consent wall or resolve many URLs at scale. ## Actor input object example ```json { "query": "artificial intelligence", "topic": "", "mode": "latest", "language": "en-US", "country": "US", "maxItems": 100, "resolveUrls": false, "maxConcurrency": 5, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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", "ceid": "" }; // Run the Actor and wait for it to finish const run = await client.actor("xtracto/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", "ceid": "", } # Run the Actor and wait for it to finish run = client.actor("xtracto/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", "ceid": "" }' | apify call xtracto/google-news-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/google-news-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google News Scraper", "description": "Aggregate news headlines from Google News by keyword, topic section, or the latest top headlines, in any language/country edition. Returns clean structured records per article: headline, source, publish time, and link (optionally decoded to the real publisher URL).", "version": "0.1", "x-build-id": "EaccqWHllsbgJuA7x" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~google-news-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtracto~google-news-scraper/runs": { "post": { "operationId": "runs-sync-xtracto-google-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtracto~google-news-scraper/run-sync": { "post": { "operationId": "run-sync-xtracto-google-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Keyword / search query", "type": "string", "description": "News search term (a keyword, company, person, or topic). This is the main input. Leave blank to use a Topic section or the Latest headlines instead." }, "topic": { "title": "Topic section", "enum": [ "", "WORLD", "NATION", "BUSINESS", "TECHNOLOGY", "ENTERTAINMENT", "SPORTS", "SCIENCE", "HEALTH" ], "type": "string", "description": "Fetch a curated topic section instead of a keyword search. Used only when Keyword is blank.", "default": "" }, "mode": { "title": "Mode when no keyword/topic", "enum": [ "latest" ], "type": "string", "description": "What to fetch when both Keyword and Topic are blank. 'latest' returns the current top headlines.", "default": "latest" }, "language": { "title": "Language (hl)", "type": "string", "description": "Interface language code, e.g. en-US, en-GB, es-419, fr, de." }, "country": { "title": "Country (gl)", "type": "string", "description": "2-letter country/edition code, e.g. US, GB, IN, DE, BR." }, "ceid": { "title": "Edition code (ceid) override", "type": "string", "description": "Advanced. Google edition code in the form ':' (e.g. US:en). Leave blank to derive it automatically from Language + Country." }, "maxItems": { "title": "Max articles", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum articles to return. Google's news feed hard-caps at 100 items per query and does not paginate, so 100 is the ceiling.", "default": 100 }, "resolveUrls": { "title": "Resolve real publisher URLs", "type": "boolean", "description": "When on, each article's Google redirect link is decoded to the real publisher URL. This costs extra requests per article and is slower; it is best-effort and falls back to the Google link if decoding fails. Off by default.", "default": false }, "maxConcurrency": { "title": "Max concurrent workers", "minimum": 1, "maximum": 16, "type": "integer", "description": "How many article URLs to resolve in parallel (only used when 'Resolve real publisher URLs' is on).", "default": 5 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Optional. The news feed works without a proxy at low volume. Turn on a proxy (ideally non-EU) if you hit a consent wall or resolve many URLs at scale.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```