Google News Scraper — Breaking News Feed API
Pricing
from $20.00 / 1,000 results
Go to Apify Store
Google News Scraper — Breaking News Feed API
Monitor Google News for breaking-news coverage. Clean JSON for PR, media-monitoring teams and AI agents.
Google News Scraper — Breaking News Feed API
Pricing
from $20.00 / 1,000 results
Monitor Google News for breaking-news coverage. Clean JSON for PR, media-monitoring teams and AI agents.
You can access the Google News Scraper — Breaking News Feed API programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "YyNcvibQdFOBXtpW5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~google-news-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-google-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/nexgendata~google-news-scraper/runs": { "post": { "operationId": "runs-sync-nexgendata-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/nexgendata~google-news-scraper/run-sync": { "post": { "operationId": "run-sync-nexgendata-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": { "queries": { "title": "Search queries / keywords", "type": "array", "description": "Keywords or phrases to search Google News for (e.g. 'tesla', 'openai layoffs', '\"interest rates\"'). Each query becomes its own Google News search feed. Supports Google News search operators. Provide queries and/or topics.", "items": { "type": "string" } }, "topics": { "title": "Topics (optional)", "type": "array", "description": "Optional Google News topic sections to pull headlines from. Use friendly names: WORLD, NATION, BUSINESS, TECHNOLOGY, ENTERTAINMENT, SPORTS, SCIENCE, HEALTH — or a raw Google News topic token (CAAq...). Provide topics and/or queries.", "items": { "type": "string" } }, "language": { "title": "Language", "type": "string", "description": "Two-letter language code for the feed (e.g. 'en', 'fr', 'de', 'es'). Default 'en'.", "default": "en" }, "country": { "title": "Country", "type": "string", "description": "Two-letter country/edition code (e.g. 'US', 'GB', 'CA', 'FR'). Default 'US'.", "default": "US" }, "maxArticles": { "title": "Max articles", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Hard cap on the total number of articles to collect across all queries/topics (after de-duplication). Each article is one dataset item. Max 1000.", "default": 50 }, "resolveUrls": { "title": "Resolve real article URLs", "type": "boolean", "description": "If enabled (default), best-effort resolve each Google News redirect to the publisher's real article URL. Adds a small amount of time per article; the Google News URL is always kept as a fallback.", "default": true }, "publishedAfter": { "title": "Published after (optional)", "type": "string", "description": "Optional. Only keep articles published on/after this date (YYYY-MM-DD or ISO 8601). Leave blank for no lower bound." }, "publishedBefore": { "title": "Published before (optional)", "type": "string", "description": "Optional. Only keep articles published on/before this date (YYYY-MM-DD or ISO 8601). Leave blank for no upper bound." }, "notionConnector": { "title": "Deliver to Notion (optional)", "type": "string", "description": "Optional. Connect your Notion workspace and the collected articles are also written as a Notion page in the same run — the Actor never sees your Notion credentials. Authorize a Notion MCP connector in Apify Console → Settings → API & Integrations, then select it here." }, "notionParentId": { "title": "Notion parent page ID (optional)", "type": "string", "description": "Optional. The Notion page ID to create the digest page under. If blank, Notion creates a private page in your workspace." }, "supabaseConnector": { "title": "Deliver to Supabase (optional)", "type": "string", "description": "Optional. Connect your own Supabase project and the results are also inserted into a table in the same run — the Actor never sees your Supabase credentials. Authorize a write-scoped, project-scoped Supabase MCP connector in Apify Console (Settings -> Integrations), then select it here." }, "supabaseTable": { "title": "Supabase table name (optional)", "type": "string", "description": "Target table in the public schema (created if missing, with id, a jsonb data column, and a scraped_at timestamp). Default: nexgendata_leads.", "default": "nexgendata_leads" }, "supabaseProjectId": { "title": "Supabase project ID (optional)", "type": "string", "description": "Your Supabase project reference (e.g. abcdefghijklmnop). Required unless your connector URL is already project-scoped. Find it in your project URL: supabase.com/dashboard/project/THIS_PART." }, "deliveryDedup": { "title": "Deduplicate deliveries across runs", "type": "boolean", "description": "When on (default), records already delivered in a previous run are not delivered again to the same destination — so scheduled runs only push new items. Turn off to deliver every record on every run.", "default": true } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Google News Scraper — Breaking News Feed API from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: