# Hacker News Intel: Jobs, Show HN Launches & Keyword Monitor (`obsidian937/hacker-news-intel`) Actor Turn Hacker News into structured B2B data. Parse Who is hiring threads into clean job records (company, role, location, remote, salary, tech stack), track Show HN launches, or monitor any keyword. Official HN API, no proxy, no auth. Delta mode for recurring alerts. - **URL**: https://apify.com/obsidian937/hacker-news-intel.md - **Developed by:** [Obsidian IT Consulting SRL](https://apify.com/obsidian937) (community) - **Categories:** Developer tools, Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 Intel: Jobs, Show HN Launches & Keyword Monitor Turn Hacker News into structured, B2B-ready data. Three modes in one actor, built on the official `hn.algolia.com` search API. No proxy, no login, no API key. ### What it does #### 1. Who is hiring (jobs) Parses the monthly "Ask HN: Who is hiring?" threads into clean, structured job records. Every top-level post becomes a row with: - `company`, `role`, `location` - `remote` / `onsite` flags - `salaryHint` (when present) - `keywords` (detected tech stack: Rust, Go, React, AWS, etc.) - full `text`, `author`, `createdAt`, and `hnUrl` Also supports "Who wants to be hired?" and "Freelancer? Seeking freelancer?" via `postType`. Filter by `remoteOnly` or `keywordFilter` (e.g. only Rust + Go posts). #### 2. Show HN launches Tracks Show HN posts newest-first, with `minPoints` and optional `searchQuery` filters. Each row: `title`, `url`, `points`, `numComments`, `author`, `createdAt`, `hnUrl`. Ideal for launch tracking and competitive intel. #### 3. Keyword monitor Watch any term across HN stories (and optionally comments). Returns `title`, `url`, `points`, `text`, `author` and more. Great for brand, competitor, or topic monitoring. ### Delta / monitor mode Set `deltaMode: true` and only items new since the previous run are returned. State is stored per Apify account. Pair it with a schedule and a webhook to get alerts on new hires, new launches, or new mentions. This is recurring usage, not a one-shot scrape. ### Example inputs Latest "Who is hiring", remote Rust roles only: ```json { "mode": "whoishiring", "postType": "hiring", "remoteOnly": true, "keywordFilter": ["Rust", "Go"] } ```` Show HN launches with 50+ points: ```json { "mode": "showhn", "minPoints": 50, "maxItems": 100 } ``` Monitor mentions of a competitor, only new ones each run: ```json { "mode": "keyword", "searchQuery": "your-product", "includeComments": true, "deltaMode": true } ``` ### Who uses this - Recruiters and sourcers building a structured pipeline from Who is hiring - Founders and product teams tracking Show HN launches in their space - Sales and competitive intel monitoring keywords across HN ### Founder / VC / Sales data suite Part of a B2B data suite. Pair with our other actors for full coverage: - **Y Combinator Companies Scraper** (startups by batch, industry, region) - **IndieHackers Product Scraper** (products, revenue, founders) - **BetaList Startup Scraper** (upcoming launches and makers) ### Notes - Source: official Hacker News Search API by Algolia (public). - The API caps a single query at roughly 1000 results; a monthly hiring thread fits comfortably under that. - Pricing is pay per result, so you only pay for records you receive. # Actor input Schema ## `mode` (type: `string`): What to extract: who-is-hiring jobs, Show HN launches, or a keyword monitor. ## `postType` (type: `string`): Which recurring monthly thread to parse (whoishiring mode only). ## `month` (type: `string`): Target a specific monthly thread, e.g. "June 2026". Empty = latest (whoishiring mode). ## `remoteOnly` (type: `boolean`): Keep only posts that mention remote work (whoishiring mode). ## `keywordFilter` (type: `array`): Keep only hiring posts mentioning at least one of these terms, e.g. \["Rust", "Go"] (whoishiring mode). ## `searchQuery` (type: `string`): Text to match. Required for keyword mode; optional filter for Show HN. ## `includeComments` (type: `boolean`): In keyword mode, also match comments (not just stories). ## `minPoints` (type: `integer`): Only return items with at least this many points (showhn / keyword modes). ## `deltaMode` (type: `boolean`): Only emit items new since the previous run (per-account state). Pair with a schedule + webhook for recurring alerts. ## `maxItems` (type: `integer`): Cap on records to return. 0 = no cap (whoishiring is bounded by thread size). ## Actor input object example ```json { "mode": "whoishiring", "postType": "hiring", "month": "", "remoteOnly": false, "keywordFilter": [], "searchQuery": "", "includeComments": false, "minPoints": 0, "deltaMode": false, "maxItems": 100 } ``` # 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("obsidian937/hacker-news-intel").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("obsidian937/hacker-news-intel").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 obsidian937/hacker-news-intel --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=obsidian937/hacker-news-intel", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hacker News Intel: Jobs, Show HN Launches & Keyword Monitor", "description": "Turn Hacker News into structured B2B data. Parse Who is hiring threads into clean job records (company, role, location, remote, salary, tech stack), track Show HN launches, or monitor any keyword. Official HN API, no proxy, no auth. Delta mode for recurring alerts.", "version": "1.0", "x-build-id": "g68hBnX1zSuvcizuP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/obsidian937~hacker-news-intel/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-obsidian937-hacker-news-intel", "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/obsidian937~hacker-news-intel/runs": { "post": { "operationId": "runs-sync-obsidian937-hacker-news-intel", "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/obsidian937~hacker-news-intel/run-sync": { "post": { "operationId": "run-sync-obsidian937-hacker-news-intel", "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": [ "whoishiring", "showhn", "keyword" ], "type": "string", "description": "What to extract: who-is-hiring jobs, Show HN launches, or a keyword monitor.", "default": "whoishiring" }, "postType": { "title": "Hiring thread type", "enum": [ "hiring", "wantToBeHired", "freelancer" ], "type": "string", "description": "Which recurring monthly thread to parse (whoishiring mode only).", "default": "hiring" }, "month": { "title": "Month", "type": "string", "description": "Target a specific monthly thread, e.g. \"June 2026\". Empty = latest (whoishiring mode).", "default": "" }, "remoteOnly": { "title": "Remote only", "type": "boolean", "description": "Keep only posts that mention remote work (whoishiring mode).", "default": false }, "keywordFilter": { "title": "Keyword filter", "type": "array", "description": "Keep only hiring posts mentioning at least one of these terms, e.g. [\"Rust\", \"Go\"] (whoishiring mode).", "default": [], "items": { "type": "string" } }, "searchQuery": { "title": "Search query", "type": "string", "description": "Text to match. Required for keyword mode; optional filter for Show HN.", "default": "" }, "includeComments": { "title": "Include comments", "type": "boolean", "description": "In keyword mode, also match comments (not just stories).", "default": false }, "minPoints": { "title": "Minimum points", "type": "integer", "description": "Only return items with at least this many points (showhn / keyword modes).", "default": 0 }, "deltaMode": { "title": "Delta / monitor mode", "type": "boolean", "description": "Only emit items new since the previous run (per-account state). Pair with a schedule + webhook for recurring alerts.", "default": false }, "maxItems": { "title": "Max items", "type": "integer", "description": "Cap on records to return. 0 = no cap (whoishiring is bounded by thread size).", "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 } } } } } } } } } } ```