Pricing

Pay per usage

Hacker News Scraper: Stories, Comments & Search

Search and scrape Hacker News: stories and comments by keyword, author, points, date or category (front page, Ask HN, Show HN). One clean row per story or comment with points, comment count, author and links. No API key.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Ken M

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

What you get

Stories - one row each with title, external link, points, comment count, author, post text (for Ask/Show HN), tags, and the HN discussion link.

Comments - one row each with the comment text, author, the story it belongs to (title and URL), and links.

Ways to use it

{
    "queries": ["kubernetes"],
    "contentType": "stories",
    "minPoints": 50,
    "sortBy": "relevance"
}

queries - keywords (one search per line); leave empty to browse a category
contentType - stories, comments, or both
category - front page, Ask HN, Show HN, or polls
author - only a specific user's posts
minPoints / minComments - only items that got traction
sinceDays - recent items only
sortBy - best match or newest

Examples: the current front page, the top "Show HN" launches over 100 points, every comment mentioning your product, or one author's whole history.

Who uses this

Founders and marketers: monitor mentions of your product or competitors and find launches gaining traction.
Developers and researchers: track what the tech community is discussing, and pull discussions for analysis.
Trend and market analysts: measure attention on a technology or company over time by points and comments.
Recruiters and community teams: follow active authors and threads in a niche.

Complements our Hacker News lead actors (which focus on hiring posts and lead alerts) with general story and comment scraping.

Pricing

A small fee per row (one per story or comment). Searches that match nothing are free note rows, and the first 2 rows of every run are free.

Notes

Source: Algolia Hacker News Search API, the same search that powers HN's own search box. Points and comment counts reflect the last time Algolia indexed the item.
Relevance search reaches the first ~1,000 results per query; narrow with filters (points, date, author) or use "newest" to page deeper.

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