Hacker News Search Scraper
Pricing
from $0.50 / 1,000 record scrapeds
Hacker News Search Scraper
Search Hacker News (stories, comments, jobs, Ask/Show HN) by keyword, date and popularity. Clean JSON with permalinks. Pay only per record.
Pricing
from $0.50 / 1,000 record scrapeds
Rating
0.0
(0)
Developer
Pedro Resende
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
10 days ago
Last modified
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Hacker News Search Scraper searches Hacker News — stories, comments, jobs, Ask HN, Show HN and polls — by keyword, date range and popularity, and returns clean structured JSON with a stable news.ycombinator.com permalink for every record. Pay only per record.
What this Hacker News scraper does
- Full-text search across Hacker News via the official HN Search API.
- Filter by item type (stories, comments, jobs, Ask/Show HN, polls, front page).
- Filter by minimum points, minimum comments and date range.
- Sort by relevance or newest first.
- Returns author, points, comment count, URL, text, ISO timestamp and the HN permalink.
- No proxy, no anti-bot, no rental — it just works.
Input
| Field | Description |
|---|---|
queries | List of search terms. Empty → page the newest/most-relevant of the chosen type. |
tags | Item type: story, comment, show_hn, ask_hn, poll, job, front_page. |
sortBy | relevance or date (newest first). |
minPoints / minComments | Popularity thresholds. |
createdAfter / createdBefore | ISO date bounds (optional). |
maxItems | Cap on total records (0 = no limit). |
Output
Each dataset item:
{"query": "show hn","objectID": "12345678","type": "story","title": "Show HN: My side project","author": "pg","points": 274,"numComments": 88,"url": "https://example.com","text": null,"createdAt": "2026-08-11T12:00:00.000Z","hnUrl": "https://news.ycombinator.com/item?id=12345678","scrapedAt": "2026-08-12T05:20:00.000Z"}
Pricing
Pay per event: $0.0005 per record. Billed per record as it is delivered, so an aborted run only pays for what it returned. No monthly rental.
Common uses
- Track a company, product or keyword across Hacker News over time.
- Scrape "Who is hiring?" / job posts into a structured hiring dataset.
- Feed HN discussion into a RAG / LLM pipeline or a trend dashboard.