Hacker News Algolia Search by Query + Tags avatar

Hacker News Algolia Search by Query + Tags

Pricing

$0.10 / 1,000 hn story / comment extracteds

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Hacker News Algolia Search by Query + Tags

Hacker News Algolia Search by Query + Tags

Search Hacker News via the free Algolia API. One row per hit: title, author, points, num_comments, URL, tags, story id. Filter by tags (`story`, `front_page`, `show_hn`, `ask_hn`, `author_xxx`, `story_xxx`) and an optional date window. For trend trackers, sentiment analysts, launch monitoring.

Pricing

$0.10 / 1,000 hn story / comment extracteds

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Search Hacker News via the public Algolia API — the same data behind https://hn.algolia.com/. One row per hit, paginated, server-side date-filtered. Works for stories, comments, Ask HN, Show HN, polls, front page, by author, comments under a specific story.

What you get

{
"objectID": "37412345",
"storyId": "37412345",
"title": "Show HN: Notion-style outliner in 200 lines of JS",
"author": "jane_doe",
"url": "https://github.com/jane_doe/outliner",
"points": 842,
"numComments": 217,
"createdAt": "2026-05-30T14:23:01.000Z",
"createdAtUnix": 1781098981,
"tags": ["show_hn", "story", "author_jane_doe"],
"permalink": "https://news.ycombinator.com/item?id=37412345",
"query": "Show HN"
}

How to use

Input.

{
"queries": ["Show HN: AI", "Ask HN: hiring"],
"tags": ["story"],
"sinceDays": 30,
"maxResultsPerQuery": 500,
"sortBy": "date"
}

Tag cheat sheet. Tags are AND-ed:

  • story — only stories
  • comment — only comments
  • front_page — currently on the front page
  • show_hn, ask_hn, poll — special story types
  • author_<username> — by author, e.g. author_pg
  • story_<id> — all comments under a specific story

Common recipes.

  • "Last 24h Show HN top voters": queries=[""], tags=["show_hn"], sinceDays=1, sortBy=date.
  • "Front page right now": queries=[""], tags=["front_page"], sinceDays=1.
  • "Everyone talking about Anthropic this month": queries=["Anthropic"], tags=["story", "comment"], sinceDays=30.
  • "All comments under HN ID 37412345": queries=[""], tags=["story_37412345"], sinceDays=0.

Pricing

PAY_PER_EVENT · $0.0003 per story_extracted · 3 333 hits = $1.

Buyer

  • Launch trackers (Show HN sentiment for week's biggest dev tools).
  • Brand monitoring (every mention of your company on HN this month).
  • Hiring-signal radar (Ask HN: Who is hiring? threads).
  • Researchers studying HN community trends.

Source

https://hn.algolia.com/api/v1/search and /search_by_date — Algolia serves the entire HN index for free. No auth, no rate limit documented; this actor still paces 0.2s between pages.