Pricing

Pay per usage

HN/Reddit Sentiment Analyzer

Fetch posts from Hacker News and Reddit, run VADER sentiment analysis, and output structured results with sentiment scores, keywords, and metadata. Perfect for brand monitoring, trend detection, and market research.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Oaida Adrian

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

What It Does

Hacker News: Fetches top or new stories via the Firebase API
Reddit: Fetches posts from any subreddit (hot, new, top, rising)
Sentiment Analysis: VADER scores for positive, negative, neutral, and compound
Keywords: Top keywords extracted from each post
Aggregation: Overall sentiment breakdown and average compound score

Input Options

Option	Description
`sources`	`hackernews`, `reddit`, or `both`
`subreddit`	Comma-separated subreddits (required for reddit)
`sortBy`	Reddit sort: hot, new, top, rising
`hnSort`	HN sort: top or new
`maxPosts`	Max posts to analyse (default: 50)
`sentimentFilter`	Filter by positive, negative, or neutral
`minScore`	Minimum upvotes required

Output

Each dataset item includes:

{
  "source": "hackernews",
  "title": "Show HN: I built a sentiment analyzer",
  "sentiment": "positive",
  "sentimentScores": {
    "positive": 0.4521,
    "neutral": 0.5479,
    "negative": 0.0,
    "compound": 0.6486
  },
  "keywords": ["sentiment", "analyzer", "built"],
  "score": 125,
  "commentsCount": 42
}

Use Cases

Brand monitoring: Track sentiment about your product on HN and Reddit
Trend detection: Spot negative sentiment before it goes viral
Market research: Understand community feeling about technologies
Content curation: Filter positive or negative discussions

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