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hackernews-frontpage

Scrape the Hacker News front page and output top 30 stories as JSON.

Updated May 27, 2026
Search Tags:#browser automation#web scraping#json output#tech news#hackernews#story extraction#front page
One-click install
npx skills add https://github.com/Shmurdoc/EasyRide-v1 --skill hackernews-frontpage-shmurdoc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hackernews-frontpage
Source: https://github.com/Shmurdoc/EasyRide-v1/tree/main/.opencode/skills/gstack/browser-skills/hackernews-frontpage
Command: npx skills add https://github.com/Shmurdoc/EasyRide-v1 --skill hackernews-frontpage-shmurdoc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually browsing the Hacker News front page to track trending tech stories, their popularity metrics, and discussion volumes is time-consuming and inefficient, especially for users who need to monitor tech trends on a regular basis.

Core Features & Use Cases

  • Structured Story Extraction: Scrapes the top 30 front page stories and outputs rank, title, URL, point count, and comment count in a standardized JSON format.
  • Edge Case Handling: Correctly processes job postings (which have no points or comments) and "discuss" links (counted as 0 comments) without errors.
  • Use Case: Tech enthusiasts, content curators, and product teams can use this skill to quickly pull the latest trending tech stories to inform content strategy, track industry trends, or identify popular technical topics to explore.

Quick Start

Use the hackernews-frontpage skill to retrieve the current top 30 stories from the Hacker News front page with their titles, links, point counts, and comment counts.

Frequently Asked Questions about hackernews-frontpage

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scrape Hacker News front page stories as JSON?▼

You can scrape Hacker News front page stories as JSON by extracting the top 30 trending stories with their rank, title, URL, point count, and comment count into a standardized structured format.

What is the best way to get structured tech news data for trend monitoring?▼

Getting structured tech news data for trend monitoring requires scraping front page stories and outputting them as standardized JSON, enabling quick analysis of titles, points, and comment counts for industry tracking.

Does scraping Hacker News handle job postings and discuss links correctly?▼

Scraping Hacker News handles job postings and discuss links correctly by applying built-in edge case logic, ensuring job postings with no points or comments and discuss links counted as zero comments process without errors.

Can I use web scraping to extract Hacker News story points and comment counts?▼

You can use web scraping to extract Hacker News story points and comment counts by targeting the front page and returning a standardized JSON output that includes these specific popularity metrics for the top 30 stories.

How to automate Hacker News content curation for product teams?▼

Automating Hacker News content curation for product teams involves using browser automation to pull the latest trending tech stories with their titles, links, and popularity metrics, directly informing content strategy and competitive research.

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