# United Carriers AI News Orchestrator (`bravolad/united-carriers-ai-news-orchestrator`) Actor - **URL**: https://apify.com/bravolad/united-carriers-ai-news-orchestrator.md - **Developed by:** [Mathieux Barlow-Ladias](https://apify.com/bravolad) (community) - **Categories:** AI, News, Automation - **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 ## United Carriers AI News Orchestrator Discovers supply chain and logistics news articles using Apify's `rag-web-browser` Actor, then filters by keyword and geographic region, and returns the top N articles per region as structured JSON ready for ChatGPT input. ### How it works 1. Generates search queries for each configured region (e.g. "supply chain logistics freight news China Japan 2026") 2. Calls `apify/rag-web-browser` for each query in parallel 3. Filters results by keyword match (supply chain, freight, tariff, etc.) 4. Deduplicates and ranks articles by search rank position 5. Returns the top N articles per region to the dataset ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `keywords` | string[] | See defaults | Articles must contain at least one keyword | | `regions` | object[] | 6 regions | `{ name, geoTerms[] }` region config | | `maxArticlesPerRegion` | integer | 3 | Top N articles per region | | `queriesPerRegion` | integer | 2 | Search queries to run per region | | `resultsPerQuery` | integer | 5 | Max results per RAG query | ### Output Each dataset item: ```json { "region": "Asia", "title": "Port congestion delays shipments across Southeast Asia", "url": "https://...", "publishedAt": null, "source": "supplychaindive.com", "bodyText": "Full article body text up to 6000 chars...", "popularityScore": 5, "popularitySignal": "searchRank", "matchedKeywords": ["port congestion", "shipping"], "matchedRegion": "Asia", "searchQuery": "supply chain logistics freight news China Japan 2026" } ```` ### Default regions Americas, Asia, Europe, Middle East, Africa, Oceania (+ Global catch-all) ### Client United Carriers - Melbourne, AU. PoC for AI News content automation. # Actor input Schema ## `keywords` (type: `array`): Articles must contain at least one of these keywords to be included. ## `regions` (type: `array`): Geographic regions and their geo-matching terms. ## `maxArticlesPerRegion` (type: `integer`): Number of top articles to return for each region. ## `queriesPerRegion` (type: `integer`): Number of search queries to run per region. ## `resultsPerQuery` (type: `integer`): Max web results to fetch per RAG Web Browser query. ## Actor input object example ```json { "keywords": [ "supply chain", "logistics", "freight", "shipping", "cargo", "container", "port congestion", "customs", "import", "export", "trade", "tariff", "sanctions", "disruption", "delay", "geopolitical", "trade war", "embargo", "freight forwarding", "air freight", "sea freight", "warehousing" ], "maxArticlesPerRegion": 3, "queriesPerRegion": 2, "resultsPerQuery": 5 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("bravolad/united-carriers-ai-news-orchestrator").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/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("bravolad/united-carriers-ai-news-orchestrator").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call bravolad/united-carriers-ai-news-orchestrator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bravolad/united-carriers-ai-news-orchestrator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "United Carriers AI News Orchestrator", "version": "0.1", "x-build-id": "8gt8hWQUjbQRUkewH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bravolad~united-carriers-ai-news-orchestrator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bravolad-united-carriers-ai-news-orchestrator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/bravolad~united-carriers-ai-news-orchestrator/runs": { "post": { "operationId": "runs-sync-bravolad-united-carriers-ai-news-orchestrator", "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/bravolad~united-carriers-ai-news-orchestrator/run-sync": { "post": { "operationId": "run-sync-bravolad-united-carriers-ai-news-orchestrator", "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": { "keywords": { "title": "Keywords", "type": "array", "description": "Articles must contain at least one of these keywords to be included.", "default": [ "supply chain", "logistics", "freight", "shipping", "cargo", "container", "port congestion", "customs", "import", "export", "trade", "tariff", "sanctions", "disruption", "delay", "geopolitical", "trade war", "embargo", "freight forwarding", "air freight", "sea freight", "warehousing" ], "items": { "type": "string" } }, "regions": { "title": "Regions", "type": "array", "description": "Geographic regions and their geo-matching terms." }, "maxArticlesPerRegion": { "title": "Max articles per region", "minimum": 1, "maximum": 20, "type": "integer", "description": "Number of top articles to return for each region.", "default": 3 }, "queriesPerRegion": { "title": "Queries per region", "minimum": 1, "maximum": 4, "type": "integer", "description": "Number of search queries to run per region.", "default": 2 }, "resultsPerQuery": { "title": "Results per query", "minimum": 1, "maximum": 10, "type": "integer", "description": "Max web results to fetch per RAG Web Browser query.", "default": 5 } } }, "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 } } } } } } } } } } ```