# NewsData.io Intelligence BYOK (`smart_tech_resources/newsdata`) Actor Fetch NewsData.io articles with your own API key and output normalized, AI-ready news data for monitoring, research, and reporting. - **URL**: https://apify.com/smart\_tech\_resources/newsdata.md - **Developed by:** [Smart Tech Resources](https://apify.com/smart_tech_resources) (community) - **Categories:** AI, Developer tools, News - **Stats:** 1 total users, 0 monthly users, 0.0% 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 ## NewsData.io Intelligence BYOK Collect and normalize NewsData.io articles using the user provided API key. ### Input The input form is defined in `.actor/input_schema.json`. API key fields, where present, use Apify `isSecret: true`. NewsData.io source requires your own NewsData.io API key. This Actor does not include NewsData.io API credits. ### Bring Your Own API Key (BYOK) This Actor does not include third-party API credits. If you enable premium sources such as NewsAPI, Mediastack, NewsData.io, or Event Registry, you must provide your own API key. You are responsible for any third-party API usage fees. This Actor charges only for data processing, normalization, deduplication, enrichment, and Apify dataset/report generation. ### Output Each dataset item follows the normalized Global News Intelligence article shape: - `sourcePlatform` - `sourceName` - `title` - `url` - `publishedAt` - `description` - `content` - `author` - `imageUrl` - `country` - `language` - `category` - `keywords` - `sentiment` - `entities` - `raw` The key-value store record `SUMMARY` contains counts by source, publisher, country, language, category, sentiment, and date. ### Local run ```bash apify run ```` For premium BYOK actors, fill the required secret input in Apify before running against the provider. Do not place real API keys in source code, README examples, GitHub, public Apify examples, logs, or dataset output. # Actor input Schema ## `newsDataApiKey` (type: `string`): Required. Use your own NewsData.io API key. This value is stored as an Apify secret input. ## `query` (type: `string`): Keyword, phrase, topic, or search query to collect news for. ## `countries` (type: `array`): Comma-joined NewsData.io country filters. ## `languages` (type: `array`): Comma-joined NewsData.io language filters. ## `categories` (type: `array`): Comma-joined NewsData.io category filters. ## `fromDate` (type: `string`): Start date in YYYY-MM-DD format. ## `toDate` (type: `string`): End date in YYYY-MM-DD format. ## `maxArticles` (type: `integer`): Maximum number of normalized articles to output. ## Actor input object example ```json { "query": "artificial intelligence regulation", "countries": [ "my", "sg", "us" ], "languages": [ "en" ], "categories": [ "business", "technology" ], "maxArticles": 100 } ``` # Actor output Schema ## `articles` (type: `string`): No description ## `summary` (type: `string`): No description # 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 regulation" }; // Run the Actor and wait for it to finish const run = await client.actor("smart_tech_resources/newsdata").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 regulation" } # Run the Actor and wait for it to finish run = client.actor("smart_tech_resources/newsdata").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 regulation" }' | apify call smart_tech_resources/newsdata --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=smart_tech_resources/newsdata", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NewsData.io Intelligence BYOK", "description": "Fetch NewsData.io articles with your own API key and output normalized, AI-ready news data for monitoring, research, and reporting.", "version": "0.1", "x-build-id": "r50tX91QwAPDJlqMy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/smart_tech_resources~newsdata/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-smart_tech_resources-newsdata", "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/smart_tech_resources~newsdata/runs": { "post": { "operationId": "runs-sync-smart_tech_resources-newsdata", "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/smart_tech_resources~newsdata/run-sync": { "post": { "operationId": "run-sync-smart_tech_resources-newsdata", "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": [ "newsDataApiKey", "query" ], "properties": { "newsDataApiKey": { "title": "NewsData.io API Key", "type": "string", "description": "Required. Use your own NewsData.io API key. This value is stored as an Apify secret input." }, "query": { "title": "Search Query", "type": "string", "description": "Keyword, phrase, topic, or search query to collect news for." }, "countries": { "title": "Countries", "type": "array", "description": "Comma-joined NewsData.io country filters.", "items": { "type": "string" }, "default": [ "my", "sg", "us" ] }, "languages": { "title": "Languages", "type": "array", "description": "Comma-joined NewsData.io language filters.", "items": { "type": "string" }, "default": [ "en" ] }, "categories": { "title": "Categories", "type": "array", "description": "Comma-joined NewsData.io category filters.", "items": { "type": "string" }, "default": [ "business", "technology" ] }, "fromDate": { "title": "From Date", "type": "string", "description": "Start date in YYYY-MM-DD format." }, "toDate": { "title": "To Date", "type": "string", "description": "End date in YYYY-MM-DD format." }, "maxArticles": { "title": "Maximum Articles", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of normalized articles to output.", "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 } } } } } } } } } } ```