Hacker News Scraper — search, front page, comments & users
Pricing
from $1.50 / 1,000 results
Hacker News Scraper — search, front page, comments & users
Turn Hacker News into structured data: full-text search all of HN history, pull the live top/new/best/ask/show/job front pages, fetch a story with its full comment thread, or get user profiles. No login — uses HN's public Algolia + Firebase APIs.
Pricing
from $1.50 / 1,000 results
Rating
0.0
(0)
Developer
Vincent Kirui
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
4 days ago
Last modified
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Turn Hacker News into clean, structured, agent-ready data — no login, no API keys. Built on HN's official public APIs (Algolia HN Search + the Firebase v0 API), so it's fast, reliable, and legal for public data. Four modes in one actor:
| Mode | What you get | Use it for |
|---|---|---|
| Search | Full-text search across all of HN history — filter by points, recency, tags | Brand / competitor / keyword monitoring, sentiment, market research |
| Front page list | The live top / new / best / ask / show / job stories | Trend tracking, daily digests, "what's hot in tech right now" |
| Item + comments | A story plus its entire comment thread, flattened | Deep discussion analysis, community sentiment, dataset building |
| Users | A user's profile, karma, and activity | Influencer / contributor research |
Why it's built for AI agents
Exposed as an MCP tool, this lets an agent answer "what is Hacker News saying about X?" in one call — search a topic, pull the discussion, read the comment thread. Structured JSON out, no scraping fragility.
Output
Clean, flat rows (CSV/Excel/JSON/API). Stories include title, url, points,
num_comments, author, created_at, text, and a direct hn_url. Comments include
text, author, story_id, parent_id. Users include karma, about, created_at.
Input examples
Legal
Uses Hacker News's public, documented APIs (Algolia + Firebase). No login, no cookies, no circumvention. You're responsible for using the data within applicable law.
Pricing
Pay-per-event: a small actor-start fee plus a per-item charge for each story / comment / user returned — you pay for exactly the data you pull.
