# HN Who Is Hiring Scraper — Monthly Tech Jobs (`novel_virginiacreeper/hn-who-is-hiring-scraper`) Actor Parse Hacker News monthly Who is Hiring threads into structured JSON: company, role, remote policy, salary, tech stack, apply URL, and HN comment links. Filter by keyword, remote, or stack. onlyNewJobs deduplication for monthly Slack/n8n alerts without duplicates. No browser, no login. - **URL**: https://apify.com/novel\_virginiacreeper/hn-who-is-hiring-scraper.md - **Developed by:** [Haruto G](https://apify.com/novel_virginiacreeper) (community) - **Categories:** Jobs, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## HN Who Is Hiring Scraper **Turn Hacker News monthly hiring threads into structured JSON.** This Apify Actor parses [Ask HN: Who is hiring?](https://news.ycombinator.com/) threads — one of the highest-signal tech job feeds on the internet — into clean records with company, role, remote policy, salary hints, tech stack, apply URLs, and HN comment links. No browser. No login. Uses the public Hacker News Firebase API. --- ### Why teams use this Actor | Pain point | What you get | |---|---| | Hundreds of unstructured HN comments | Parsed company, role, location, remote, salary | | Manual copy-paste every month | One API call → JSON / CSV / Excel | | Duplicate alerts on re-runs | `onlyNewJobs` deduplication via KVS cache | | Hard to filter by stack | `techStack` + `searchKeyword` filters | Built for **monthly pipelines** — recruiters, founders, and engineers who watch the HN hiring thread but don't want to read 300+ comments by hand. --- ### Example input ```json { "months": 1, "maxItems": 200, "searchKeyword": "python", "remoteOnly": true, "techStack": ["python"], "onlyNewJobs": true } ```` *** ### Example output Real record from the July 2026 thread: ```json { "jobId": "hn:48775598", "company": "Confido", "role": "Forward Deployed Engineer", "location": "$200-270k BASE", "remote": null, "salary": "$200 - $270k", "techStack": ["Python", "TypeScript", "Rails", "AWS"], "applyUrl": "https://jobs.ashbyhq.com/confido/e3d42ff2-4ab4-4469-9091-d249b2c7519d", "email": null, "postedAt": "2026-07-03T14:36:13Z", "hnUrl": "https://news.ycombinator.com/item?id=48775598", "threadTitle": "Ask HN: Who is hiring? (July 2026)", "sourceAttribution": "Hacker News", "sourceSiteUrl": "https://news.ycombinator.com", "scrapedAt": "2026-07-22T10:03:39Z" } ``` Every record includes `jobId` (`hn:{commentId}`) for stable deduplication across scheduled runs. *** ### Output fields | Field | Description | |---|---| | `company` / `role` / `location` | Parsed from the comment header line | | `remote` | `Remote`, `Hybrid`, or `Onsite` when detected | | `salary` | Salary text when mentioned (best-effort parse) | | `techStack` | Detected technologies (Python, Rust, React, AWS, …) | | `applyUrl` | First URL in the posting | | `email` | Contact email when present | | `hnUrl` | Link back to the original HN comment | | `jobId` | Stable ID for `onlyNewJobs` (`hn:{commentId}`) | | `sourceAttribution` | `"Hacker News"` | | `sourceSiteUrl` | `https://news.ycombinator.com` | *** ### Automate without code (n8n · Make · Zapier) HN publishes a new **Who is Hiring** thread about once per month. Typical no-code flow: ``` Schedule (2nd of month, 9 AM) → Run HN Who Is Hiring Scraper (onlyNewJobs: true) → If new jobs found → Send to Slack / Google Sheets / Email ``` **Why `onlyNewJobs` matters:** without it, every monthly run re-sends the same 200 postings. With it, you only get comments you haven't seen before. #### n8n workflow (import-ready) Download [`workflows/n8n-monthly-hn-jobs-slack.json`](workflows/n8n-monthly-hn-jobs-slack.json) and import into n8n. | Step | Node | Settings | |---|---|---| | 1 | Schedule Trigger | Cron: `0 9 2 * *` (2nd of month, 9 AM) | | 2 | Apify → Run Actor | `novel_virginiacreeper/hn-who-is-hiring-scraper` | | 3 | Apify → Get Dataset Items | Use `defaultDatasetId` from step 2 | | 4 | Slack | Post company, role, stack, apply URL, HN link | #### Make / Zapier | Tool | What to do | |---|---| | **Make** | Apify Watch Actor Runs → Iterator → Add Row / Send Message | | **Zapier** | Apify integration → Filter (itemCount > 0) → Slack / Gmail | *** ### Monthly alert workflow (Apify Schedule) Recommended setup on Apify: 1. Schedule this Actor for the **2nd of each month** (after the thread is live) 2. Enable `onlyNewJobs: true` 3. Pipe results to Slack / Google Sheets / email via n8n or Make Example schedule input: ```json { "months": 1, "maxItems": 200, "onlyNewJobs": true } ``` **First run note:** the first run with `onlyNewJobs: true` returns all scraped jobs (empty cache). Every subsequent run returns only new comment IDs. *** ### Input parameters | Parameter | Default | Description | |---|---|---| | `months` | `1` | Recent monthly threads to parse (1–24) | | `threadId` | — | Optional specific HN thread item ID | | `maxItems` | `200` | Max postings to return | | `searchKeyword` | — | Text filter | | `remoteOnly` | `false` | Remote postings only | | `techStack` | `[]` | Required technologies | | `onlyNewJobs` | `false` | Skip previously seen comment IDs | *** ### Data source & fair use - Data comes from **public HN comments** via the official Firebase API - Each record includes a link back to the original HN comment (`hnUrl`) - Use reasonable `maxItems`; do not republish personal emails beyond the listing context - HN threads are community content — respect [Hacker News guidelines](https://news.ycombinator.com/newsguidelines.html) *** ### Pricing Pay per event: **~$5 per 1,000 results** (+ small start fee). You only pay when the Actor runs and returns data. *** **Keywords:** Hacker News jobs, Who is Hiring scraper, HN hiring API, monthly tech jobs, startup jobs, remote jobs HN, n8n job alerts, only new jobs # Actor input Schema ## `months` (type: `integer`): How many recent monthly Who is Hiring threads to parse (1–24). Ignored when threadId is set. ## `threadId` (type: `integer`): Optional HN item ID for a specific Who is Hiring thread (e.g. 48747976). When set, months is ignored. ## `maxItems` (type: `integer`): Maximum number of parsed job comments to return. ## `searchKeyword` (type: `string`): Case-insensitive filter on company, role, location, tech stack, and full text. ## `remoteOnly` (type: `boolean`): Return only postings classified as Remote. ## `techStack` (type: `array`): Keep only jobs that mention these technologies (e.g. python, rust, react). ## `onlyNewJobs` (type: `boolean`): Output only comment IDs not seen in previous runs. Useful for monthly re-runs without duplicates. ## Actor input object example ```json { "months": 1, "maxItems": 200, "remoteOnly": false, "techStack": [ "python" ], "onlyNewJobs": false } ``` # 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 = { "months": 1, "maxItems": 200, "searchKeyword": "", "remoteOnly": false, "techStack": [ "python" ], "onlyNewJobs": false }; // Run the Actor and wait for it to finish const run = await client.actor("novel_virginiacreeper/hn-who-is-hiring-scraper").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 = { "months": 1, "maxItems": 200, "searchKeyword": "", "remoteOnly": False, "techStack": ["python"], "onlyNewJobs": False, } # Run the Actor and wait for it to finish run = client.actor("novel_virginiacreeper/hn-who-is-hiring-scraper").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 '{ "months": 1, "maxItems": 200, "searchKeyword": "", "remoteOnly": false, "techStack": [ "python" ], "onlyNewJobs": false }' | apify call novel_virginiacreeper/hn-who-is-hiring-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=novel_virginiacreeper/hn-who-is-hiring-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "HN Who Is Hiring Scraper — Monthly Tech Jobs", "description": "Parse Hacker News monthly Who is Hiring threads into structured JSON: company, role, remote policy, salary, tech stack, apply URL, and HN comment links. Filter by keyword, remote, or stack. onlyNewJobs deduplication for monthly Slack/n8n alerts without duplicates. No browser, no login.", "version": "1.0", "x-build-id": "MhPZCsWhK3fCRIbDp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/novel_virginiacreeper~hn-who-is-hiring-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-novel_virginiacreeper-hn-who-is-hiring-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/novel_virginiacreeper~hn-who-is-hiring-scraper/runs": { "post": { "operationId": "runs-sync-novel_virginiacreeper-hn-who-is-hiring-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/novel_virginiacreeper~hn-who-is-hiring-scraper/run-sync": { "post": { "operationId": "run-sync-novel_virginiacreeper-hn-who-is-hiring-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "maxItems" ], "properties": { "months": { "title": "Months of threads", "minimum": 1, "maximum": 24, "type": "integer", "description": "How many recent monthly Who is Hiring threads to parse (1–24). Ignored when threadId is set.", "default": 1 }, "threadId": { "title": "Specific thread ID", "type": "integer", "description": "Optional HN item ID for a specific Who is Hiring thread (e.g. 48747976). When set, months is ignored." }, "maxItems": { "title": "Max job postings", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of parsed job comments to return.", "default": 200 }, "searchKeyword": { "title": "Search keyword", "type": "string", "description": "Case-insensitive filter on company, role, location, tech stack, and full text." }, "remoteOnly": { "title": "Remote only", "type": "boolean", "description": "Return only postings classified as Remote.", "default": false }, "techStack": { "title": "Tech stack filter", "type": "array", "description": "Keep only jobs that mention these technologies (e.g. python, rust, react).", "default": [], "items": { "type": "string" } }, "onlyNewJobs": { "title": "Only new jobs since last run", "type": "boolean", "description": "Output only comment IDs not seen in previous runs. Useful for monthly re-runs without duplicates.", "default": false } } }, "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 } } } } } } } } } } ```