# Hacker News Jobs Monitor (`mranderson323/hn-jobs-monitor`) Actor Extracts job listings from Hacker News 'Who is hiring?' monthly threads. Filter by keywords, stack, or role. Priced at $0.01 per listing. - **URL**: https://apify.com/mranderson323/hn-jobs-monitor.md - **Developed by:** [Jeff](https://apify.com/mranderson323) (community) - **Categories:** Developer tools, Jobs, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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 Jobs Monitor Extracts job listings from Hacker News "Who is hiring?" monthly threads — the most active developer hiring community on the internet. Filter by keywords, tech stack, or role type. Returns clean structured records from top-level job posts. ### What it does - Finds the latest "Ask HN: Who is hiring?" monthly threads via the Algolia HN API - Extracts individual job posts (top-level comments = real job listings) - Filters by keywords in the post text (e.g. `remote`, `TypeScript`, `founding engineer`) - Strips HTML, cleans formatting, and returns structured records - Covers up to 12 months of hiring threads in a single run ### Input | Field | Type | Default | Description | |---|---|---|---| | `keywords` | array | _(all)_ | Keywords to filter by (e.g. `["remote", "TypeScript", "React"]`) | | `maxResults` | integer | `100` | Maximum number of listings to return (up to 500) | | `monthsBack` | integer | `3` | How many months of HN hiring threads to search (1–12) | ### Output Each result contains: ```json { "id": "hn-12345678", "threadTitle": "Ask HN: Who is hiring? (June 2026)", "threadUrl": "https://news.ycombinator.com/item?id=43800000", "commentUrl": "https://news.ycombinator.com/item?id=43801234", "author": "acme_cto", "description": "Acme | Senior Engineer | Remote | $150k-$200k...", "postedAt": "2026-06-01T10:15:00Z", "isTopLevel": true, "threadDate": "2026-06-01T08:00:00Z" } ```` ### Pricing **$0.003 per listing returned** (~$0.30 per 100 results). You only pay for listings that match your filters. ### Use cases - Build a personal HN jobs feed filtered to your stack and preferences - Track which companies hire regularly on HN over time - Feed listings into an AI that scores them against your resume or criteria - Monitor for "founding engineer" or "staff engineer" roles specifically - Combine with remote-job-scraper for broader multi-platform job coverage ### Tips - `isTopLevel: true` records are actual job posts; `isTopLevel: false` are replies and discussions - Filter with `["remote", "TypeScript"]` to get remote TS roles specifically - Set `monthsBack: 6` to build a historical picture of the hiring market - HN jobs skew heavily toward early-stage startups and technical roles — great for engineers - Run monthly in sync with HN's hiring threads (posted on the 1st of each month) # Actor input Schema ## `keywords` (type: `array`): Only return listings that mention these keywords (e.g. \["remote", "TypeScript", "React"]). Leave empty for all listings. ## `maxResults` (type: `integer`): Maximum number of job listings to return. ## `monthsBack` (type: `integer`): How many months of HN hiring threads to search through. ## Actor input object example ```json { "maxResults": 100, "monthsBack": 3 } ``` # 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("mranderson323/hn-jobs-monitor").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("mranderson323/hn-jobs-monitor").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 mranderson323/hn-jobs-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mranderson323/hn-jobs-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hacker News Jobs Monitor", "description": "Extracts job listings from Hacker News 'Who is hiring?' monthly threads. Filter by keywords, stack, or role. Priced at $0.01 per listing.", "version": "0.1", "x-build-id": "C6M3Riwu5McRqF6iN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mranderson323~hn-jobs-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mranderson323-hn-jobs-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/mranderson323~hn-jobs-monitor/runs": { "post": { "operationId": "runs-sync-mranderson323-hn-jobs-monitor", "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/mranderson323~hn-jobs-monitor/run-sync": { "post": { "operationId": "run-sync-mranderson323-hn-jobs-monitor", "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 to Filter", "type": "array", "description": "Only return listings that mention these keywords (e.g. [\"remote\", \"TypeScript\", \"React\"]). Leave empty for all listings." }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of job listings to return.", "default": 100 }, "monthsBack": { "title": "Months to Look Back", "minimum": 1, "maximum": 12, "type": "integer", "description": "How many months of HN hiring threads to search through.", "default": 3 } } }, "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 } } } } } } } } } } ```