This document outlines the functionality and characteristics of the Scrape Hacker News node, which enables automated content retrieval from Hacker News.

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Node Inputs

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Optional Fields

  • Query: Keywords to filter news articles by title
  • Num Pages: Number of pages to scrape (maximum: 5)

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Node Output

  • Post Titles: List of matching article titles
  • Post Links: List of corresponding article URLs

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Node Functionality

The Scrape Hacker News node retrieves and filters content from Hacker News. Key features include:
  • Keyword-based filtering
  • Multi-page scraping
  • Front page focus
  • Title and URL extraction
  • Automatic content parsing

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When To Use

The Scrape Hacker News node is valuable for tech news monitoring. Common use cases include:
  • Tech Monitoring: Track specific technology trends
  • Market Research: Follow startup and industry news
  • Competition Analysis: Monitor tech landscape
  • Content Curation: Gather relevant tech articles
Some specific examples:
  • Tracking AI/ML developments
  • Monitoring startup funding news
  • Following specific tech company mentions
  • Gathering programming language discussions

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Important Considerations:

  1. Maximum 5 pages per request
  2. Results are in chronological order
In summary, the Scrape Hacker News node provides efficient tech news monitoring through automated content filtering and retrieval from Hacker News.