HN Who is Hiring Scraper — Every Job From Hacker News, Structured

Scrape every job posting from Hacker News "Who is Hiring?" monthly threads. Returns structured data — company, title, location, remote status, salary, technologies, apply URLs, and full descriptions.

Why this one?

There are a few HN job scrapers on Apify. Here's why this one is different.

Other scrapers rely on OpenAI to parse comments. That means every run costs extra, depends on an external API key, and gives inconsistent results when the model changes. This scraper uses deterministic parsing — same input, same output, every time. No AI API calls, no extra costs, no surprises.

Other scrapers only grab the latest thread. HN posts a new "Who is Hiring?" thread every month. Most scrapers find one thread and stop. This one lets you scrape 1-12 months at once — useful for trend analysis, building datasets, or catching jobs from companies that posted last month but are still hiring.

Other scrapers have no filtering. You get a data dump and figure it out yourself. This one has built-in regex filters for location, keywords, technologies, and remote status — so you only get the jobs you care about.

Other scrapers are minimal. Short descriptions, no tests, no documentation. This one has 46 tests, full documentation, and is also available as an open-source TypeScript library and CLI tool.

Head-to-head

	This scraper	kutaui/hackernews-job-scraper	carmine_tennis/hn-who-is-hiring
Multi-month scraping (1-12)	Yes	No	No
Built-in filters (location, tech, remote)	Yes	No	No
Parsing approach	Deterministic	OpenAI (extra cost)	Unknown
Technology detection	65+ keywords	Via OpenAI	Unknown
Test suite	46 tests	None	None
Also a library/CLI	Yes	No	No
Price per 1,000 jobs	$5	$10	$2
Active users	New	1 (dead since Nov '25)	2

What you get

Every month, @whoishiring posts a thread on Hacker News. Hundreds of companies — mostly startups, many founder-posted — drop job listings as comments. This scraper fetches those threads, parses every comment, and returns clean structured data.

Field	Example
company	Cosuno
title	Senior Full Stack Developer (TypeScript)
location	Berlin, Germany
isRemote	true
salary	EUR 70k-100k
technologies	typescript, react, next.js, node.js, postgres
url	https://cosuno.com/careers
commentUrl	https://news.ycombinator.com/item?id=12345
threadMonth	March 2026
description	Full job description text

Plus isOnsite, isHybrid, applyUrl, postedAt, and threadUrl.

Recent scrape numbers

Metric	Count
Jobs per 2-month scrape	~690
Remote jobs	~50%
With salary listed	~15%
Technologies detected	~76%
Scrape time (2 months)	~45 seconds

How to use it

Set the number of months and click Start. That's it.

{
  "months": 2
}

Filter examples

Remote senior roles in Europe:

{
  "months": 2,
  "remoteOnly": true,
  "locationFilter": "europe|germany|uk|france|netherlands|spain|czech|poland",
  "keywordFilter": "senior|staff|lead|principal|founding"
}

TypeScript/React jobs only:

{
  "months": 3,
  "technologyFilter": "typescript|react|next\\.js"
}

Founding engineer roles:

{
  "months": 2,
  "keywordFilter": "founding|first engineer|head of"
}

All input options

Parameter	Type	Default	Description
months	integer	2	Monthly threads to scrape (1-12)
concurrency	integer	10	Parallel requests (1-20)
remoteOnly	boolean	false	Only remote jobs
locationFilter	string		Regex for location
keywordFilter	string		Regex for title/description
technologyFilter	string		Regex for technologies
includeRawHtml	boolean	false	Include raw HN comment HTML

Output

Each row in the dataset is one job:

{
  "hnId": 43254321,
  "company": "Cosuno",
  "title": "Senior Full Stack Developer (TypeScript)",
  "location": "Berlin, Germany",
  "isRemote": true,
  "isOnsite": false,
  "isHybrid": false,
  "salary": "EUR 70k-100k",
  "technologies": ["typescript", "react", "next.js", "node.js", "postgresql"],
  "url": "https://cosuno.com/careers",
  "applyUrl": "https://cosuno.com/careers",
  "description": "We're building the construction industry's collaboration platform...",
  "postedAt": "2026-03-03T15:22:00.000Z",
  "threadMonth": "March 2026",
  "commentUrl": "https://news.ycombinator.com/item?id=43254321"
}

Export as JSON, CSV, Excel, or any format supported by Apify datasets.

A SUMMARY key in the key-value store gives you run metadata — total jobs, top companies by posting count, filters applied, and elapsed time.

How much does it cost?

No browser, no proxy, no external API calls. Just lightweight HTTP fetches to HN's public Firebase API.

Scrape	Time	Results	Cost
1 month	~25 sec	~350 jobs	~$1.75
2 months	~45 sec	~700 jobs	~$3.50
6 months	~2 min	~2,000 jobs	~$10.00

Plus Apify platform usage (minimal — 256 MB memory, no browser).

Use cases

• Job seekers — Find startup jobs posted directly by founders, not recruiters
• Recruiters — Monitor the HN hiring community for sourcing leads
• Job board operators — Ingest founder-posted jobs that never hit LinkedIn or Indeed
• Market researchers — Track what technologies startups are hiring for, month over month
• Data teams — Build structured datasets from HN's unstructured comments

Companion scraper

Pairs with Ashby Jobs Scraper — which scrapes 16,000+ jobs from 2,800+ companies using Ashby as their ATS (OpenAI, Notion, Ramp, Deel, Linear, Cursor, and more).

HN Jobs catches early-stage, founder-posted roles. Ashby Jobs catches established companies with formal hiring. Together they cover the startup ecosystem end to end.

Open source

Also available as an open-source TypeScript library and CLI tool. Use it programmatically, run it locally, or deploy it here on Apify.

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Doug Silkstone — Lead Full Stack Software Engineer. 15+ years, 3x exits. TypeScript, React, Node, scraping & automation.

Need a custom scraper, data pipeline, or automation? Book a call or email doug@withseismic.com.