# Hacker News Analyzer (`kuromaro/hackernews-analyzer`) Actor Analyze Hacker News stories by keyword or top/new. Get trend scores and engagement ratios. - **URL**: https://apify.com/kuromaro/hackernews-analyzer.md - **Developed by:** [Takuma](https://apify.com/kuromaro) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## Hacker News Analyzer Analyze Hacker News trends, top stories, and keyword-based search results. Built for developers who want to monitor what's hot in the tech community. ### Features - **Keyword Search** — Full-text search powered by the [HN Algolia API](https://hn.algolia.com/api), sorted by relevance, date, or points. - **Top Stories** — Real-time top 500 stories fetched from the official HN Firebase API. - **New Stories** — Freshest stories on HN, straight from the new stories feed. - **Trend Score** — Each story gets a `trendScore = points / age_hours`, surfacing popular recent stories. - **Engagement Ratio** — `commentCount / points` reveals which stories spark discussion beyond upvotes. ### Input | Field | Type | Default | Description | |---|---|---|---| | `mode` | enum | `topstories` | `search`, `topstories`, or `newstories` | | `keyword` | string | — | Required when `mode=search` | | `maxResults` | integer | `30` | Max stories to return (1–500) | | `sortBy` | enum | `relevance` | `relevance`, `date`, or `points` (search mode only) | | `proxyConfiguration` | object | — | Optional Apify Proxy settings | ### Output Each record contains: | Field | Type | Description | |---|---|---| | `id` | string | HN story ID | | `title` | string | Story title | | `url` | string | Story URL (falls back to HN comments page) | | `author` | string | Submitter username | | `points` | integer | Upvote count | | `commentCount` | integer | Number of comments | | `createdAt` | string | ISO 8601 creation timestamp | | `storyType` | string | `story`, `job`, or `poll` | | `domain` | string | Bare domain extracted from URL | | `trendScore` | float | `points / age_hours` — freshness-weighted popularity | | `engagementRatio` | float | `commentCount / points` — discussion intensity | | `rank` | integer | Position in the result list | | `mode` | string | Which fetch mode was used | | `keyword` | string | Search keyword (search mode only) | ### Example ```json { "id": "39876543", "title": "Show HN: I built a CLI tool that summarizes git history with AI", "url": "https://github.com/example/gitsum", "author": "techfounder", "points": 412, "commentCount": 87, "createdAt": "2026-06-27T08:30:00Z", "storyType": "story", "domain": "github.com", "trendScore": 68.67, "engagementRatio": 0.2112, "rank": 1, "mode": "topstories" } ```` ### Data Sources - [HN Algolia Search API](https://hn.algolia.com/api) — keyword search - [HN Firebase REST API](https://github.com/HackerNews/API) — top/new story lists and item details Both APIs are public, free, and require no authentication. # Actor input Schema ## `mode` (type: `string`): What to fetch: keyword search (Algolia), HN top stories, or newest stories. ## `keyword` (type: `string`): Keyword to search for. Required when mode=search. ## `maxResults` (type: `integer`): Maximum number of stories to return. ## `sortBy` (type: `string`): Sort order for search mode. Ignored for top/new stories. ## `proxyConfiguration` (type: `object`): Optional Apify Proxy configuration for requests. ## Actor input object example ```json { "mode": "topstories", "maxResults": 30, "sortBy": "relevance" } ``` # 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("kuromaro/hackernews-analyzer").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/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("kuromaro/hackernews-analyzer").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call kuromaro/hackernews-analyzer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kuromaro/hackernews-analyzer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hacker News Analyzer", "description": "Analyze Hacker News stories by keyword or top/new. Get trend scores and engagement ratios.", "version": "0.1", "x-build-id": "lldnH4oGlnElzeGsK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kuromaro~hackernews-analyzer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kuromaro-hackernews-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/kuromaro~hackernews-analyzer/runs": { "post": { "operationId": "runs-sync-kuromaro-hackernews-analyzer", "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/kuromaro~hackernews-analyzer/run-sync": { "post": { "operationId": "run-sync-kuromaro-hackernews-analyzer", "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": { "mode": { "title": "Mode", "enum": [ "search", "topstories", "newstories" ], "type": "string", "description": "What to fetch: keyword search (Algolia), HN top stories, or newest stories.", "default": "topstories" }, "keyword": { "title": "Search Keyword", "type": "string", "description": "Keyword to search for. Required when mode=search." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of stories to return.", "default": 30 }, "sortBy": { "title": "Sort By", "enum": [ "relevance", "date", "points" ], "type": "string", "description": "Sort order for search mode. Ignored for top/new stories.", "default": "relevance" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optional Apify Proxy configuration for requests." } } }, "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 } } } } } } } } } } ```