# Google News Scraper (`thescrappa/google-news-scraper`) Actor Scrape Google News articles for keywords, topics, publications, and story clusters. Extract titles, links, sources, snippets, dates, thumbnails, and Google News tokens for media monitoring and market research. - **URL**: https://apify.com/thescrappa/google-news-scraper.md - **Developed by:** [Scrappa](https://apify.com/thescrappa) (community) - **Categories:** Developer tools, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Scrape Google News results for media monitoring, market research, brand tracking, competitor intelligence, and editorial research. The actor wraps Scrappa's `/api/google/news` endpoint and returns structured news articles in an Apify dataset. ### What you get - News article title, link, source, snippet, dates, thumbnails, and story tokens - Keyword search with country, language, sort, and pagination controls - Topic, publication, section, story, and Knowledge Graph token support - Full Scrappa response saved to key-value store record `OUTPUT` ### Input Use `q` for normal Google News keyword search: ```json { "q": "artificial intelligence", "gl": "us", "hl": "en", "page": 1, "so": 1 } ```` Use one of the token inputs when browsing a Google News topic, publication, section, or story cluster. Do not combine `q` with token inputs. `kgmid` must be used alone. ### Output Each dataset item is one Google News result: ```json { "position": 1, "title": "Example News Article", "link": "https://example.com/news/article", "source_name": "Example Source", "date": "2 hours ago", "iso_date": "2026-05-02T10:30:00+00:00", "snippet": "Article summary text...", "thumbnail": "https://news.google.com/api/attachments/example-thumbnail.jpg", "story_token": "CAAq...", "request_q": "artificial intelligence", "request_gl": "us", "request_hl": "en" } ``` ### Notes For higher-volume Google News monitoring or direct API access, use Scrappa's Google News API at `https://scrappa.co/api/google/news`. # Actor input Schema ## `q` (type: `string`): Keyword or phrase to search in Google News. Leave empty when using a token parameter. ## `gl` (type: `string`): Two-letter Google News country code, such as us, gb, de, or fr. ## `hl` (type: `string`): Two-letter Google News interface language, such as en, de, es, or fr. ## `page` (type: `integer`): Page number for pagination. Do not use together with Start Offset. ## `start` (type: `integer`): Zero-based result offset for pagination. Do not use together with Page. ## `so` (type: `integer`): Sort order: 0 for relevance, 1 for date. ## `topic_token` (type: `string`): Google News topic token. Cannot be used with Search Query. ## `kgmid` (type: `string`): Google Knowledge Graph entity ID starting with /m/ or /g/. Must be used alone. ## `publication_token` (type: `string`): Google News publication token. Cannot be used with Search Query. ## `section_token` (type: `string`): Google News section token. Cannot be used with Search Query. ## `story_token` (type: `string`): Google News story cluster token. Cannot be used with Search Query. ## Actor input object example ```json { "q": "artificial intelligence", "gl": "us", "hl": "en", "page": 1, "so": 0 } ``` # 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 = { "q": "artificial intelligence" }; // Run the Actor and wait for it to finish const run = await client.actor("thescrappa/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 = { "q": "artificial intelligence" } # Run the Actor and wait for it to finish run = client.actor("thescrappa/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 '{ "q": "artificial intelligence" }' | apify call thescrappa/google-news-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thescrappa/google-news-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google News Scraper", "description": "Scrape Google News articles for keywords, topics, publications, and story clusters. Extract titles, links, sources, snippets, dates, thumbnails, and Google News tokens for media monitoring and market research.", "version": "1.0", "x-build-id": "db8wtDAAJh9neBfhE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thescrappa~google-news-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thescrappa-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/thescrappa~google-news-scraper/runs": { "post": { "operationId": "runs-sync-thescrappa-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/thescrappa~google-news-scraper/run-sync": { "post": { "operationId": "run-sync-thescrappa-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": { "q": { "title": "Search Query", "type": "string", "description": "Keyword or phrase to search in Google News. Leave empty when using a token parameter." }, "gl": { "title": "Country", "maxLength": 2, "type": "string", "description": "Two-letter Google News country code, such as us, gb, de, or fr.", "default": "us" }, "hl": { "title": "Language", "maxLength": 2, "type": "string", "description": "Two-letter Google News interface language, such as en, de, es, or fr.", "default": "en" }, "page": { "title": "Page", "minimum": 1, "type": "integer", "description": "Page number for pagination. Do not use together with Start Offset.", "default": 1 }, "start": { "title": "Start Offset", "minimum": 0, "type": "integer", "description": "Zero-based result offset for pagination. Do not use together with Page." }, "so": { "title": "Sort Order", "minimum": 0, "maximum": 1, "type": "integer", "description": "Sort order: 0 for relevance, 1 for date.", "default": 0 }, "topic_token": { "title": "Topic Token", "type": "string", "description": "Google News topic token. Cannot be used with Search Query." }, "kgmid": { "title": "Knowledge Graph ID", "type": "string", "description": "Google Knowledge Graph entity ID starting with /m/ or /g/. Must be used alone." }, "publication_token": { "title": "Publication Token", "type": "string", "description": "Google News publication token. Cannot be used with Search Query." }, "section_token": { "title": "Section Token", "type": "string", "description": "Google News section token. Cannot be used with Search Query." }, "story_token": { "title": "Story Token", "type": "string", "description": "Google News story cluster token. Cannot be used with Search Query." } } }, "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 } } } } } } } } } } ```