Hacker News Scraper — HN Jobs, Stories & Comments

Extract clean, structured JSON from Hacker News Firebase API. This Actor is built for startup trend monitoring, recruiting, market research, AI/RAG datasets.

What you can do with it

• Startup trend monitoring
• Recruiting
• Market research
• Ai/rag datasets

Features

• Top, new, best, Ask HN, Show HN, and job stories
• Monthly “Who is Hiring” thread extraction
• Optional comments and metadata
• Fast API-based extraction without browser overhead

Example input

{
  "mode": "job",
  "maxItems": 100,
  "includeComments": true
}

Example output

{
  "id": 123456,
  "type": "story",
  "title": "Who is hiring? July 2026",
  "url": "https://news.ycombinator.com/item?id=123456",
  "score": 581,
  "commentCount": 422,
  "by": "whoishiring",
  "timeISO": "2026-07-01T00:00:00Z"
}

Output

Results are saved to the default Apify dataset as structured JSON. The actor includes an output schema so results are easy to preview, export, and consume from API clients.

Pricing

This Actor is configured for pay-per-result monetization using Apify's pay-per-event model. Users pay for dataset items/results rather than a large fixed upfront fee.

Common use cases

• AI/RAG dataset creation
• Market research and competitive intelligence
• Trend monitoring
• Data enrichment pipelines
• Scheduled data extraction

Keywords

hacker news scraper, HN jobs, who is hiring scraper, startup data, developer community data

Notes

This Actor focuses on practical structured data extraction with clean defaults and low overhead. For large runs, start with a small maxItems value, verify the output, then scale up.