Hacker News Top Stories and Discussions Radar
Pricing
$0.85 / 1,000 results
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Hacker News Top Stories and Discussions Radar
Extract top, best, and newest Hacker News stories, point scores, author handles, comments counts, and article URLs in real time without proxies.
Pricing
$0.85 / 1,000 results
Rating
0.0
(0)
Developer
Darim Quraishi
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
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Extract top, best, and new stories, point scores, submitter user profiles, comment counts, and outbound links from Hacker News in real time.
Features
- Queries official Hacker News Firebase feeds for Top, Best, New, Ask HN, and Show HN submissions.
- Collects discussion point scores, total descendant comments, submission dates, and submitter usernames.
- Extracts clean outbound article URLs alongside root domains and permanent Y Combinator discussion threads.
- Runs via direct REST endpoints with zero headless browser overhead and zero proxy cost.
- Exports structured records directly to JSON, CSV, Excel, or API integrations.
Input parameters
- Feed Category: Select between Top Stories, Best Stories, Newest Stories, Ask HN, or Show HN. Default is top.
- Maximum Stories: Number of stories to collect. Default is 50, maximum is 200.
Output dataset fields
Each dataset record contains:
- id: Unique Hacker News numeric item identifier.
- title: Submission headline.
- url: Outbound link or self-post discussion link.
- domain: Clean root domain of the outbound link (for example: github.com, nytimes.com).
- by: Username of the submitting member.
- score: Community upvotes received.
- commentsCount: Total number of comments posted in the discussion thread.
- type: Item type such as story, job, or poll.
- storyType: Feed category requested.
- hnUrl: Direct permanent link to the discussion thread on news.ycombinator.com.
- publishedAt: ISO formatted UTC submission timestamp.
- scrapedAt: UTC timestamp when the data was extracted.
Use cases
- Tech news aggregation: Feed fresh high-signal tech discussions into internal Slack channels or newsletters.
- AI topic modeling: Feed trending developer discussions into language models for sentiment and topic analysis.
- Developer relations monitoring: Track when open source projects or company products reach the Hacker News frontpage.
- Competitive intelligence: Discover new startups and emerging technical tools shared in Show HN threads.
